Harness Trigify's sales trigger automation to capture prospects showing strong buying intent. Begin by configuring competitor monitoring in your dashboard—identify 5-10 key competitors by analyzing which companies your prospects evaluate during purchase decisions, then add them to Trigify's monitoring system [Source: Trigify Knowledge Hub]. Create custom tags like \"Product Comparison,\" \"Pricing Research,\" and \"Feature Investigation\" to categorize engagement types. Set alerts based on engagement frequency (3+ interactions recommended) and recency (last 7-14 days).

For role change alerts, navigate to the \"Transition Signals\" section and select target job titles, focusing on decision-makers (VP, Director levels) in relevant departments. Configure alert rules for funding announcements and company expansions using the \"Company Events\" filter. Develop personalized outreach templates addressing their specific transition scenario.

Implement webhook connections through Trigify's integration hub—connect to Zapier or Make using your API key, then build automation recipes that route leads based on signal strength. Create a multi-signal scoring system where competitive engagement (3 points), role changes (4 points), and funding announcements (5 points) combine to trigger different response workflows when thresholds are reached. One B2B SaaS client achieved 28% reply rates by automatically engaging prospects who interacted with competitors' pricing pages within 48 hours [Source: Trigify Knowledge Hub].

Trigify's approach has revolutionized this landscape by focusing on actual prospect behaviors rather than static data points [Source: Trigify Knowledge Hub]. Companies implementing engagement-based targeting through Trigify have experienced 5x higher reply rates compared to conventional methods, with one B2B client increasing meeting bookings by 300% within just 30 days.

To implement signal-based prospecting effectively:

\n
1. Identify key buying intent signals by monitoring:\n
   \n
   • Content engagement with industry thought leaders
   \n
   • Competitor research activities
   \n
   • Professional transitions (promotions, new roles)
   \n
   • Multiple interactions with relevant topics (3+ in 30 days indicates high intent)
   \n
   \n
\n\n
2. Establish a signal prioritization framework by:\n
   \n
   • Configuring engagement filters in Trigify
   \n
   • Focusing on prospects demonstrating multiple signals simultaneously
   \n
   • Weighting recent activities higher than historical ones
   \n
   \n
\n\n
3. Develop a baseline measurement system by:\n
   \n
   • Tracking current conversion rates before implementation
   \n
   • Setting up A/B testing between traditional and signal-based approaches
   \n
   • Monitoring response rates, meeting bookings, and conversion metrics
   \n
   \n
\n\n
4. Implement a gradual transition plan:\n
   \n
   • Week 1: Set up your Trigify account and import your prospect list
   \n
   • Week 2: Configure signal tracking and engagement filters
   \n
   • Week 3: Begin targeted outreach to engaged prospects
   \n
   \n
\n

Trigify's real-time monitoring capabilities detect signals as they happen, creating the perfect timing for outreach. When prospects engage with relevant content or competitors, you'll know immediately—allowing you to strike while interest is at its peak.

Set realistic expectations: most teams see initial results within 3-4 weeks, with full optimization taking 2-3 months as your signal database builds and refines.

After recognizing the transformative potential of signal-based prospecting, your next step is establishing a solid foundation within Trigify's platform. Begin by setting up your account at app.trigify.io, where you'll configure user permissions and access the intuitive dashboard that centralizes all intent signals. [Source: Trigify Knowledge Hub]

Define your Ideal Customer Profile directly in Trigify by specifying company size, industry, technologies used, and decision-maker roles. Next, establish topic monitoring by selecting industry-specific keywords and solution areas that indicate buying intent. Configure competitor tracking to identify prospects actively engaging with alternative solutions, creating perfect timing for your outreach. [Source: Cognism]

Integration is streamlined through Trigify's native connectors. Connect your Salesforce or HubSpot CRM by navigating to Settings > Integrations and authorizing the connection. Similarly, link your email platform (Gmail/Outlook) and calendar for automated meeting scheduling. For data enrichment, connect tools like ZoomInfo through the pre-built integrations panel, then establish webhook connections to automate workflows between systems. [Source: CRM Masters]

Before launching campaigns, document current outreach conversion metrics as your baseline. Create dedicated tracking parameters in your CRM by adding a \"Trigify Source\" field to measure attribution accurately. Implement an A/B testing framework comparing traditional outreach versus 1���iP7=[�r�fT��1�ective for identifying and converting prospects actively researching solutions\n\n# **Proposed Table of Contents: \"The Trigify Advantage: How to Book 30+ Sales Meetings Weekly Using AI-Powered Intent Signals\"**\n\nI. **Introduction: The Shift to Signal-Based Prospecting**\n A. The Limitations of Traditional Prospecting Methods \n B. Why Real-Time Intent Matters in Today's B2B Environment \n C. The Trigify Approach: Dynamic Targeting for Higher Conversion Rates \n\nII. **Building Your Foundation: Setting Up Trigify for Maximum Impact** \n A. Configuring Your Monitoring Parameters \n B. Integrating with Your Existing Tech Stack \n C. Establishing Baseline Metrics for Performance Tracking \n\nIII. **Sales Trigger Automation: Capturing High-Intent Opportunities** \n A. Setting Up Competitor Engagement Monitoring \n B. Configuring Role Change and Company Transition Alerts \n C. Creating Webhook Connections for Automated Lead Routing \n D. Implementing Multi-Signal Tracking for Intent Identification \n\nIV. **Engagement-Based Targeting: Finding Your Most Receptive Prospects** \n A. The 3×30 Rule: Prioritizing Multiple Engagements \n B. Monitoring Industry Discussions for Timely Outreach \n C. Using Smart Tags to Auto-Categorize Based on Engagement Levels \n D. Social Signal Monitoring for Relationship Warming \n\nV. **AI Personalization Strategies That Convert** \n A. Creating Value-Focused Short-Form Messages \n B. Referencing Recent Engagements Without Being Intrusive \n C. Leading with Insights Related to Demonstrated Interests \n D. Personalizing Based on Engagement Type and Frequency \n\nVI. **Optimizing Trigify Workflows for 30+ Weekly Meetings** \n A. Creating Dynamic Prospecting Sequences \n B. Building Signal-Triggered Automated Outreach \n C. Implementing the \"Network Effect\" Competitor Engagement Playbook \n D. Prioritization Systems for High-Intent Prospects \n\nVII. **Advanced Lead Enrichment and Real-Time Alert Strategies** \n A. Leveraging Comprehensive Company and Contact Data \n B. Setting Up AI Smart Tags for Automatic Qualification \n C. Creating Segmented Outreach Based on Enriched Data Points \n D. Real-Time Alert Configuration for Immediate Response \n\nVIII. **Measuring Success and Optimizing Performance** \n A. Key Metrics for Tracking Meeting Conversion Rates \n B. A/B Testing Frameworks for Message Optimization \n C. Iterative Improvement of Trigger Sensitivity and Response Time \n D. Scaling Your Process from 10 to 30+ Weekly Meetings \n\nIX. **Case Studies: Real-World Success with Trigify** \n A. SaaS Company Achieves 28% Reply Rate Through Competitor Monitoring \n B. Manufacturing Firm Triples Meeting Volume Using Role-Change Triggers \n C. Professional Services Organization's \"Network Effect\" Results \n\nX. **Future-Proofing Your Sales Pipeline** \n A. Emerging Trends in Intent-Based Selling \n B. Integrating Trigify with Evolving Sales Technologies \n C. Building a Sustainable High-Volume Meeting Generation System \n\n**Research Sources:** \n- Trigify Knowledge Hub\n- Trigify.io Blog\n- AnyBiz.io Trigify AI Reviews and Features\n- FiveTaco Products: Trigify.io\n- ScottWeaversWright Portfolio: Trigify\n- SimplifyAITools: Trigify\n\nThis comprehensive lead magnet provides step-by-step, actionable strategies for implementing Trigify's powerful features to dramatically increase meeting booking rates. Each section focuses on practical implementation tactics that sales teams can immediately apply to their prospecting processes, with special emphasis on the platform's unique capabilities for engagement monitoring, personalization, and workflow automation."}}],"Team of Research Assistants":[{"json":{"output":"

Traditional prospecting methods have long frustrated sales teams with dismal conversion rates below 5%, resulting in wasted resources and missed opportunities [Source: Skrapp.io]. T1���iP7=�9���s1�uilding a culture of experimentation and adaptation. Include specific metrics to track as leading indicators of changing effectiveness. Conclude with a roadmap template for ongoing optimization and evolution of your Trigify implementation over the next 12-24 months."}],"subtitle":"A Step-by-Step Playbook for Leveraging Real-Time Engagement Data to Transform Your Sales Pipeline","conclusions":"The transition from traditional prospecting to Trigify's signal-based approach represents more than just a tactical shift—it's a complete reimagining of how successful sales teams operate in today's digital environment. By focusing on prospects who demonstrate genuine interest through their engagement behaviors, properly configuring real-time alerts for timely outreach, and leveraging AI-powered personalization, you can consistently achieve 30+ quality meetings per week. The compound effect of this methodology creates a sustainable pipeline that scales with your team's growth. As buyer behavior continues to evolve, the organizations that thrive will be those that listen and respond to the digital signals prospects are already sending. Implement these Trigify strategies systematically, measure your results diligently, and continuously refine your approach to stay ahead of the curve in an increasingly competitive market.","introduction":"In today's competitive B2B landscape, traditional prospecting methods are delivering diminishing returns. Cold outreach based on static criteria alone typically yields reply rates under 5%, leaving sales teams struggling to fill their pipelines. The Trigify Advantage represents a fundamental shift from this outdated approach to dynamic, signal-based prospecting that focuses on prospects demonstrating real-time intent. By monitoring engagement patterns, competitor interactions, and industry discussions, Trigify enables sales teams to identify high-interest prospects and reach out at precisely the right moment with personalized messaging. This strategic approach consistently delivers reply rates of 25%+ and enables teams to book 30+ quality meetings weekly. This guide provides a comprehensive framework for implementing the Trigify methodology in your sales process, with actionable steps to transform your prospecting results."}}}],"Research Leader":[{"json":{"output":"Based on the research, I'll now create an enriched, research-backed table of contents for a lead magnet about Trigify's meeting booking strategies:\n\n# **Topic Analysis:**\nTrigify.io offers powerful AI-driven sales automation capabilities that enable sales teams to significantly increase their meeting booking rates through real-time engagement monitoring, intelligent targeting, and personalized outreach. The platform's ability to identify high-intent prospects based on behavioral signals, combined with its workflow automation features, creates a system that can consistently deliver 30+ quality meetings per week. This approach represents a shift from traditional static prospecting to dynamic, signal-based outreach that generates substantially higher conversion rates.\n\n# **Key Research Insights:**\n- Trigify's engagement-based targeting focuses on prospects who have demonstrated 3+ relevant engagements within 30 days, resulting in significantly higher reply rates (25%+) compared to traditional cold outreach\n- Real-time sales triggers that monitor competitor engagements, role changes, and industry discussions provide timely opportunities for personalized outreach when prospects are most receptive\n- AI-powered lead enrichment and automatic qualification via smart tags enable sales teams to prioritize high-value prospects and customize messaging based on demonstrated interests\n- Webhook connections and automated workflows allow for the seamless integration of Trigify data into existing tech stacks, creating efficient processes that can scale to 30+ meetings weekly\n- The platform's combination of engagement monitoring, personalization capabilities, and automation features creates a \"Network Effect\" playbook that's particularly eff1���iP7=��E��2�1� a culture of continuous improvement and data-driven decision making within your sales team."},{"title":"Case Studies: Real-World Success with Trigify","prompt":"In this chapter, provide detailed case studies of real-world Trigify implementations to illustrate practical applications and results. For each case study, include: \n\n1. Company background and initial challenges \n2. Specific Trigify features implemented \n3. Implementation timeline and process \n4. Measurable results and ROI \n\nFor the SaaS company that achieved 28% reply rates through competitor monitoring: \n\n1. Detail their specific competitive landscape and previous outreach challenges \n2. Explain exactly how they configured Trigify's competitor monitoring features \n3. Provide the specific outreach templates and sequences they used \n4. Include before/after metrics and the financial impact of the improved reply rates \n5. Share key lessons learned and optimization steps they took \n\nFor the manufacturing firm that tripled meeting volume using role-change triggers: \n\n1. Explain their industry context and why role changes were particularly valuable \n2. Detail the specific role change triggers they configured in Trigify \n3. Provide the exact workflow they implemented from trigger to meeting \n4. Include the team structure and assignment protocols they used \n5. Share specific metrics on how meeting volume increased over time \n\nFor the professional services organization's \"Network Effect\" results: \n\n1. Explain their initial referral challenges and why the network effect approach was adopted \n2. Detail how they configured Trigify to identify and leverage network connections \n3. Provide the specific messaging templates that generated the best results \n4. Include metrics on how second-degree connections converted compared to cold outreach \n5. Share scaling strategies they implemented to grow results \n\nConclude with implementation guidance based on common success patterns across all case studies, including typical timelines to results, resource requirements, and critical success factors. Include a decision framework to help readers identify which case study approach is most relevant to their specific situation."},{"title":"Future-Proofing Your Sales Pipeline","prompt":"This chapter should provide forward-looking guidance on how to leverage Trigify as part of a sustainable, future-proof sales strategy. Begin by exploring emerging trends in intent-based selling: \n\n1. The shift toward privacy-conscious signal monitoring \n2. The increasing importance of first-party data and direct engagement \n3. The evolution of AI capabilities for predictive intent modeling \n4. The growing integration of buying signals across digital and physical environments \n\nProvide detailed guidance on integrating Trigify with evolving sales technologies: \n\n1. Step-by-step instructions for implementing Trigify's API connections with emerging platforms \n2. Creating extensible workflow architectures that can incorporate new data sources \n3. Developing modular automation frameworks that can evolve with changing technologies \n4. Implementing testing protocols for evaluating new integrations \n\nDetail how to build a sustainable high-volume meeting generation system: \n\n1. Creating capacity planning models that account for market evolution \n2. Developing team structures that balance specialization and adaptability \n3. Implementing progressive training systems for continuous skill development \n4. Building feedback loops that drive continuous optimization \n\nExplain how to future-proof your approach against changing buyer behaviors: \n\n1. Monitoring and adapting to engagement pattern shifts \n2. Developing multi-channel coordination strategies \n3. Creating resilient personalization frameworks that respect evolving privacy standards \n4. Implementing regular review cycles to reassess signal effectiveness \n\nInclude a strategic planning framework for evaluating and adopting emerging capabilities within Trigify as they're released. Provide guidance on b1���iP7=>�R4S�kT1�nsive guidance on leveraging Trigify's lead enrichment capabilities and real-time alert system to maximize outreach effectiveness. Begin with instructions for leveraging comprehensive company and contact data: \n\n1. Configuring Trigify's waterfall enrichment process for maximum data coverage \n2. Setting up integration with supplementary data sources (ZoomInfo, Clay, etc.) \n3. Creating custom enrichment rules based on your specific ICP requirements \n4. Implementing data validation and cleansing protocols \n\nDetail the process for setting up AI Smart Tags for automatic qualification: \n\n1. Step-by-step configuration of Smart Tag rules in Trigify \n2. Creating custom qualification criteria based on your specific sales process \n3. Setting up automated workflows triggered by tag application \n4. Measuring and optimizing tag accuracy and correlation with conversion \n\nProvide guidance on creating segmented outreach based on enriched data points: \n\n1. Developing industry-specific messaging templates \n2. Creating role-based personalization frameworks \n3. Implementing company size and maturity-specific approaches \n4. Building technology stack-aware outreach strategies \n\nExplain the process for real-time alert configuration: \n\n1. Setting up priority levels for different alert types \n2. Creating team notification protocols for high-priority alerts \n3. Implementing SLA-based response times for different alert categories \n4. Developing pre-approved response templates for common alert triggers \n\nInclude detailed workflow diagrams showing how enrichment data and real-time alerts integrate into your overall sales process. Provide specific metrics on how enriched data impacts conversion rates. Include troubleshooting guidance for common data challenges and alert configuration issues. Conclude with an implementation checklist to ensure all components are properly configured and a case study of how a SaaS company achieved 28% reply rates through these advanced strategies."},{"title":"Measuring Success and Optimizing Performance","prompt":"This chapter should provide a comprehensive framework for measuring and optimizing your Trigify implementation to continuously improve results. Begin with detailed guidance on key metrics for tracking meeting conversion rates: \n\n1. Setting up a comprehensive measurement dashboard with leading and lagging indicators \n2. Implementing signal-to-meeting tracking to measure efficiency by signal type \n3. Creating conversion funnels for different outreach sequences \n4. Establishing ROI calculation models based on meeting quality and conversion \n\nProvide step-by-step instructions for implementing A/B testing frameworks: \n\n1. Setting up controlled experiments for message optimization \n2. Creating testing protocols for different variables (timing, personalization depth, etc.) \n3. Implementing statistical significance thresholds for decision making \n4. Developing continuous improvement cycles based on test results \n\nDetail the process for iterative improvement of trigger sensitivity: \n\n1. Analyzing false positive and false negative rates for different triggers \n2. Implementing progressive refinement of trigger conditions \n3. Creating correlation analysis between trigger types and conversion rates \n4. Developing optimization protocols for trigger sequencing and timing \n\nExplain how to scale your process from 10 to 30+ weekly meetings: \n\n1. Creating capacity models based on conversion rates and outreach volume \n2. Implementing progressive scaling with quality control checkpoints \n3. Developing team expansion and training protocols \n4. Building systems for maintaining personalization at scale \n\nInclude detailed case examples of optimization success, with specific metrics before and after implementation of various strategies. Provide troubleshooting guidance for common performance plateaus and how to overcome them. Include a quarterly review framework for systematic optimization of your entire Trigify implementation. Conclude with guidance on how to establish1���iP7=�U���_*[1�ovide detailed guidance on leveraging Trigify's AI personalization capabilities to dramatically improve response rates. Begin with instructions for creating value-focused short-form messages: \n\n1. Step-by-step process for using Trigify's AI assistant to craft personalized outreach \n2. Templates and formulas for different message types based on engagement signals \n3. Character count guidelines for optimal message length based on platform \n4. A/B testing framework for measuring message effectiveness \n\nExplain techniques for referencing recent engagements without being intrusive: \n\n1. Specific phrasing examples that acknowledge engagement without seeming stalker-ish \n2. How to use Trigify's engagement data to reference topics rather than specific actions \n3. Timing recommendations for optimal engagement follow-up \n4. Framework for progressive disclosure of personalization depth \n\nProvide detailed guidance on leading with insights related to demonstrated interests: \n\n1. How to use Trigify's topic tracking to identify prospect interests \n2. Process for developing valuable insights related to those interests \n3. Templates for insight-led messages that drive response \n4. Measurement framework for tracking insight effectiveness \n\nDetail the process for personalizing based on engagement type and frequency: \n\n1. Creating engagement type-specific message templates \n2. Developing escalation frameworks based on engagement frequency \n3. Using Trigify's AI to generate custom variables for each prospect \n4. Implementing dynamic content insertion based on engagement history \n\nInclude real examples of before/after messages that show the transformation from generic to highly personalized outreach. Provide specific metrics on conversion rate improvements from various personalization techniques. Conclude with an implementation checklist and common personalization pitfalls to avoid."},{"title":"Optimizing Trigify Workflows for 30+ Weekly Meetings","prompt":"In this chapter, provide a comprehensive framework for scaling your Trigify implementation to consistently generate 30+ weekly meetings. Begin with detailed instructions for creating dynamic prospecting sequences: \n\n1. Step-by-step process for building multi-touch sequences in Trigify \n2. Setting up conditional logic based on prospect engagement \n3. Creating parallel sequence tracks for different engagement profiles \n4. Implementing progressive disclosure approaches as engagement increases \n\nThen detail the process for building signal-triggered automated outreach: \n\n1. Setting up trigger rules for different signal combinations \n2. Creating timing parameters for optimal response windows \n3. Developing template libraries for each trigger type \n4. Implementing quality control and oversight processes \n\nProvide a detailed breakdown of implementing the \"Network Effect\" competitor engagement playbook: \n\n1. Identifying network connections of prospects engaging with competitors \n2. Creating targeting parameters for second-degree connections \n3. Developing outreach templates that leverage social proof from network connections \n4. Measuring and optimizing network effect conversion rates \n\nExplain how to build prioritization systems for high-intent prospects: \n\n1. Creating scoring models based on signal combinations \n2. Setting up tiered response protocols based on intent levels \n3. Implementing capacity management systems to maintain quality \n4. Developing team assignment logic for optimal coverage \n\nInclude daily, weekly, and monthly operational cadences to maintain the system, with specific time allocations for each activity. Provide troubleshooting guidance for common scaling challenges. Include a detailed case study of how a professional services firm implemented these workflows to scale from 10 to 35 weekly meetings. Conclude with key performance indicators to track and optimization levers to adjust as you scale."},{"title":"Advanced Lead Enrichment and Real-Time Alert Strategies","prompt":"This chapter should provide comprehe1���iP7=��ݰZ� 
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==�4-'��i�];U;3 C0UxiC41mDvl5DBEEmail Manager[{"parameters":{"pollTimes":{"item":[{"mode":"everyMinute"}]},"filters":{}},"id":"f03402d7-c200-4dab-bfac-e4580871bf3c","name":"Gmail Trigger","type":"n8n-nodes-base.gmailTrigger","position":[-1040,160],"typeVersion":1.2,"credentials":{"gmailOAuth2":{"id":"6zeZfhesQ4wkWVzB","name":"Gmail account API Key"}}},{"parameters":{"operation":"get","messageId":"={{ $json.id }}","simple":false,"options":{}},"id":"7a25bd73-0b9f-42a6-8747-42ae9ddb715d","name":"Gmail","type":"n8n-nodes-base.gmail","position":[-816,208],"webhookId":"[REDACTED_WEBHOOK_ID]","typeVersion":2.1,"credentials":{"gmailOAuth2":{"id":"6zeZfhesQ4wkWVzB","name":"Gmail account API Key"}}},{"parameters":{"jsonSchemaExample":"{\n\t\"label\": \"Label name\", \n\"label ID\": \"label ID\" \n}"},"id":"91155f4a-d2c9-4599-a8f4-39791498308a","name":"Structured Output Parser","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[-16,320],"typeVersion":1.2},{"parameters":{"operation":"addLabels","messageId":"={{ $('Gmail').item.json.id }}","labelIds":"={{ $json.output['label ID'] }}"},"id":"f9300fdf-3872-43f1-a466-c2b2ea82a099","name":"Gmail1","type":"n8n-nodes-base.gmail","position":[0,0],"webhookId":"[REDACTED_WEBHOOK_ID]","typeVersion":2.1,"credentials":{"gmailOAuth2":{"id":"6zeZfhesQ4wkWVzB","name":"Gmail account API Key"}}},{"parameters":{"model":{"__rl":true,"mode":"list","value":"claude-sonnet-4-20250514","cachedResultName":"Claude Sonnet 4"},"options":{}},"id":"16eaaeb8-f3c4-4a38-97a0-f981226e1ce2","name":"Anthropic Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatAnthropic","position":[-768,432],"typeVersion":1.3,"disabled":true},{"parameters":{"promptType":"define","text":"Run the task.","hasOutputParser":true,"options":{"systemMessage":"=**Objective:** Analyze the provided email data and classify it with the most appropriate label. **Utilize the capability to check for prior email history (emails sent to or received from the sender by `[REDACTED_EMAIL]`)** to determine if this is a first-time interaction (cold email) or part of an existing relationship. This context is crucial for accurate labeling, especially for distinguishing between Marketing, Notifications, and FYI. Respond with *only* the corresponding Label ID.\n\n**Your Email Address (for context):** `[REDACTED_EMAIL]`\n\n**Key Capabilities (to be used by the system executing this prompt):**\n* **Check Prior Email History:** Before full classification, determine if any prior email correspondence exists between `[REDACTED_EMAIL]` and `{{ $json.from.value[0].address }}`. This check should yield \"Yes\" (history exists) or \"No\" (no history found).\n\n**Input Email Data (from n8n JSON item for the *current* email):**\n* **Sender Email:** `{{ $json.from.value[0].address }}`\n* **Sender Name:** `{{ $json.from.value[0].name }}`\n* **Direct Recipient Emails (To):** `{{ $json.to.value.map(r => r.address).join(', ') }}`\n* **CC Recipient Emails:** `{{ $json.cc.value.map(r => r.address).join(', ') }}` *(Added this based on your JSON, use if populated)*\n* **Subject:** `{{ $json.subject }}`\n* **Body (Plain Text):** `{{ $json.text }}`\n* **Existing Gmail Labels (for current email):** `{{ $json.labelIds.join(', ') }}`\n* **Auto-Submitted Header:** `{{ $json.headers['auto-submitted'] }}`\n* **Original Sender Header (if different from From):** `{{ $json.headers.sender }}`\n* **In-Reply-To Header (for current email):** `{{ $json.headers['in-reply-to'] }}`\n* **References Header (for current email):** `{{ $json.headers.references }}`\n* **List-Unsubscribe Header:** `{{ $json.headers['list-unsubscribe'] }}`\n* **Precedence Header:** `{{ $json.headers.precedence }}` (e.g., \"Bulk\")\n\n**Labels, Descriptions, and Prioritization Logic:**\n\n**Guidance on Using Prior Email History & Unsubscribe Links:**\n* **Prior Email History = \"No\":** Strong indicator of a **cold/unsolicited email**.\n * If promotional/sales pitch: Likely \"Marketing.\"\n * If exceptionally personalized & high-v2�1���iP7=o /[|-'
1�tion. Conclude with a readiness checklist to ensure all components are properly configured before moving to implementation of specific strategies."},{"title":"Sales Trigger Automation","prompt":"This chapter should provide detailed, actionable guidance on setting up Trigify's sales trigger automation system to capture high-intent opportunities. Begin by explaining how to configure competitor engagement monitoring: \n\n1. How to identify and add your top 5-10 competitors to the monitoring system \n2. Setting up custom tags to categorize different types of competitor engagement \n3. Creating alert thresholds based on engagement intensity and frequency \n4. Developing response templates for different competitor engagement scenarios \n\nThen detail the process for configuring role change and company transition alerts: \n\n1. Step-by-step instructions for setting up job change notifications \n2. How to filter for specific seniority levels and departments \n3. Creating custom alert rules for company growth, funding announcements, and other transition signals \n4. Developing tailored outreach sequences for each transition type \n\nProvide clear instructions for creating webhook connections for automated lead routing: \n\n1. Technical setup instructions for different webhook types \n2. Sample automation recipes for major platforms (Zapier, Make, n8n) \n3. Routing logic recommendations based on signal type and intensity \n4. QA testing procedures to ensure proper data flow \n\nExplain how to implement multi-signal tracking for comprehensive intent identification: \n\n1. Setting up point-based scoring systems for different signal combinations \n2. Creating multi-condition triggers for more precise targeting \n3. Implementing progressive engagement strategies based on signal accumulation \n4. Measuring and optimizing signal correlation with conversion rates \n\nConclude with troubleshooting tips for common automation challenges and a case study of how a B2B SaaS company achieved 28% reply rates through Trigify's competitor monitoring automation."},{"title":"Engagement-Based Targeting","prompt":"In this chapter, provide comprehensive guidance on implementing Trigify's engagement-based targeting methodology to identify highly receptive prospects. Start by explaining the 3×30 Rule in detail: \n\n1. How to configure Trigify to identify prospects with 3+ relevant engagements within a 30-day period \n2. Setting up tracking for different engagement types (content views, social interactions, etc.) \n3. Creating weighted scoring based on engagement depth and relevance \n4. Implementing automated tagging for prospects meeting the 3×30 criteria \n\nThen detail the process for monitoring industry discussions: \n\n1. How to identify and track key industry topics and hashtags \n2. Setting up real-time alerts for relevant conversations \n3. Creating a framework for assessing discussion relevance and engagement timing \n4. Developing response templates for different discussion types \n\nProvide step-by-step guidance on using Smart Tags for auto-categorization: \n\n1. Configuring Smart Tag rules within Trigify \n2. Creating custom tag hierarchies for your specific sales process \n3. Setting up automation based on tag application \n4. Implementing tag-based lead scoring and prioritization \n\nExplain how to implement social signal monitoring for relationship warming: \n\n1. Setting up multi-platform social monitoring \n2. Creating engagement sequences that start with light interactions \n3. Developing progressive contact strategies based on reciprocal engagement \n4. Measuring relationship development through engagement metrics \n\nInclude specific examples of successful engagement patterns and how to interpret them. Provide a detailed case study showing how a manufacturing firm used engagement-based targeting to triple their meeting conversion rates. Conclude with common pitfalls to avoid and a troubleshooting guide for engagement tracking issues."},{"title":"AI Personalization Strategies That Convert","prompt":"This chapter should pr1���iP7=�&)���=�1�index":0}]]},"OpenRouter Chat Model1":{"ai_languageModel":[[{"node":"Query Builder","type":"ai_languageModel","index":0},{"node":"Project Planner","type":"ai_languageModel","index":0},{"node":"Team of Research Assistants","type":"ai_languageModel","index":0}]]},"Trigify knowledge hub2":{"ai_tool":[[{"node":"Query Builder","type":"ai_tool","index":0},{"node":"Research Leader","type":"ai_tool","index":0},{"node":"Project Planner","type":"ai_tool","index":0}]]},"Structured Output Parser":{"ai_outputParser":[[{"node":"Query Builder","type":"ai_outputParser","index":0}]]},"Structured Output Parser1":{"ai_outputParser":[[{"node":"Project Planner","type":"ai_outputParser","index":0}]]},"When chat message received":{"main":[[{"node":"Query Builder","type":"main","index":0}]]},"Team of Research Assistants":{"main":[[{"node":"Merge","type":"main","index":1}]]},"Google Gemini Chat Model":{"ai_languageModel":[[{"node":"Editor","type":"ai_languageModel","index":0}]]}}{"executionOrder":"v1"}{"Project Planner":[{"json":{"output":{"title":"The Trigify Advantage: How to Book 30+ Sales Meetings Weekly Using AI-Powered Intent Signals","chapters":[{"title":"The Shift to Signal-Based Prospecting","prompt":"In this chapter, explain the fundamental shift from traditional prospecting methods to signal-based prospecting. Start by highlighting the limitations of conventional approaches: low conversion rates (under 5%), wasted resources on uninterested prospects, and lack of timing precision. Then detail the Trigify approach to signal-based prospecting that focuses on real-time intent data. Include specific statistics on how engagement-based targeting yields 5x higher reply rates compared to traditional methods. Provide step-by-step guidance on how to: \n\n1. Identify the key signals that indicate buying intent (including content engagement, competitor research, and professional transitions) \n2. Establish a signal prioritization framework based on Trigify's data on which combinations of signals correlate most strongly with buying readiness \n3. Develop a baseline measurement system to compare traditional vs. signal-based prospecting results \n4. Implement a gradual transition plan from static to dynamic prospecting \n\nExplain how Trigify's real-time monitoring capabilities enable sales teams to detect these signals as they happen, creating perfect timing for outreach. Include a case example of how a B2B company increased meeting bookings by 300% after switching to signal-based prospecting with Trigify. Conclude with practical guidance on setting realistic expectations for implementation timeframes and initial results."},{"title":"Building Your Foundation in Trigify","prompt":"In this chapter, provide a comprehensive guide to setting up Trigify for maximum impact. Begin with a detailed walkthrough of the initial configuration process: \n\n1. Account setup and user permissions (with screenshots of the main dashboard) \n2. Defining your Ideal Customer Profile (ICP) parameters within the Trigify system \n3. Setting up topic monitoring for your specific industry and solution areas \n4. Configuring competitor tracking to monitor engagement with rival solutions \n\nThen detail the process for integrating Trigify with existing tech stack components: \n\n1. CRM integration steps (specific instructions for Salesforce, HubSpot, and other major CRMs) \n2. Email integration for automated outreach \n3. Calendar integration for streamlined meeting booking \n4. Data enrichment tool connections (Clay, ZoomInfo, etc.) \n5. Setting up webhook connections for automated workflows \n\nProvide step-by-step instructions for establishing baseline metrics for performance tracking: \n\n1. How to document current outreach-to-meeting conversion rates \n2. Setting up A/B testing frameworks to compare traditional vs. Trigify-powered outreach \n3. Creating tracking parameters in your CRM for attribution \n4. Implementing weekly reporting cadences to measure improvement \n\nInclude troubleshooting guidance for common setup challenges and tips for optimizing each integra1���iP7=�@"�%�-�1�ring","value":"={{ $node[\"Webhook\"].json[\"body\"][\"LinkedIn Url\"] }}"}]},"options":{}},"id":"c23c168b-d464-4a07-8693-7fa2daa8140e","name":"Share URL","type":"n8n-nodes-base.set","position":[2848,0],"typeVersion":3.4},{"parameters":{"operation":"share","fileId":{"__rl":true,"mode":"id","value":"={{ $json.documentId }}"},"permissionsUi":{"permissionsValues":{"role":"reader","type":"anyone"}},"options":{}},"id":"422d8b50-59f5-4be6-905c-592661512089","name":"Google Drive","type":"n8n-nodes-base.googleDrive","position":[2688,0],"typeVersion":3,"credentials":{"googleDriveOAuth2Api":{"id":"ghvfZZcpO23tYvmn","name":"Google Drive account"}}},{"parameters":{"operation":"update","documentURL":"={{ $json.id }}","actionsUi":{"actionFields":[{"action":"insert","text":"={{ $('Editor').item.json.output }}"}]}},"id":"331d607f-2d04-40f1-abc4-0c79e4be1c4a","name":"Google Docs1","type":"n8n-nodes-base.googleDocs","position":[2528,0],"typeVersion":2,"credentials":{"googleDocsOAuth2Api":{"id":"BN1fUIweWn9mWabd","name":"Google Docs account"}}},{"parameters":{"toolDescription":"Trigify knowledge hub.","method":"POST","url":"https://www.chatbase.co/api/v1/chat","sendHeaders":true,"parametersHeaders":{"values":[{"name":"Authorization","valueProvider":"fieldValue","value":"Bearer [REDACTED_API_TOKEN]"},{"name":"Content-Type","valueProvider":"fieldValue","value":"application/json"}]},"sendBody":true,"specifyBody":"json","jsonBody":"{\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"{placeholder}\"\n }\n ],\n \"chatbotId\": \"[REDACTED_CHATBOT_ID]\",\n \"stream\": false,\n \"temperature\": 0,\n \"model\": \"claude-3-5-sonnet\"\n}"},"id":"c7dcc2ee-1685-4ec9-9215-9c28085c00a5","name":"Trigify knowledge hub2","type":"@n8n/n8n-nodes-langchain.toolHttpRequest","position":[1152,688],"typeVersion":1.1},{"parameters":{"model":"anthropic/claude-3.7-sonnet:thinking","options":{}},"id":"fae3c91f-03c3-430b-81f4-5306de2f98f4","name":"OpenRouter Chat Model1","type":"@n8n/n8n-nodes-langchain.lmChatOpenRouter","position":[1360,672],"typeVersion":1,"credentials":{"openRouterApi":{"id":"BFOAoIgD5ECmC239","name":"OpenRouter account"}}},{"parameters":{"model":"claude-3-7-sonnet-20250219","options":{}},"id":"c19cf393-a9f2-4f25-a32b-e40eccafcde5","name":"Anthropic Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatAnthropic","position":[1904,432],"typeVersion":1.2,"credentials":{"anthropicApi":{"id":"JpQ3sNJUz1a7dvDf","name":"Anthropic account"}},"disabled":true},{"parameters":{"options":{}},"type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","typeVersion":1,"position":[2048,304],"id":"45c69057-dabc-48a2-a7d2-601d95dd697e","name":"Google Gemini Chat Model","credentials":{"googlePalmApi":{"id":"xTC5bggV3FN3kz5r","name":"Google Gemini(PaLM) Api account"}}}]{"Code":{"main":[[{"node":"Editor","type":"main","index":0}]]},"Merge":{"main":[[{"node":"Code","type":"main","index":0}]]},"Editor":{"main":[[{"node":"Google Docs","type":"main","index":0}]]},"Split Out":{"main":[[{"node":"Team of Research Assistants","type":"main","index":0},{"node":"Merge","type":"main","index":0}]]},"Google Docs":{"main":[[{"node":"Google Docs1","type":"main","index":0}]]},"Google Docs1":{"main":[[{"node":"Google Drive","type":"main","index":0}]]},"Google Drive":{"main":[[{"node":"Share URL","type":"main","index":0}]]},"Query Builder":{"main":[[{"node":"Research Leader","type":"main","index":0}]]},"Perplexity tool":{"ai_tool":[[{"node":"Query Builder","type":"ai_tool","index":0},{"node":"Research Leader","type":"ai_tool","index":0},{"node":"Project Planner","type":"ai_tool","index":0},{"node":"Team of Research 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Splitter","type":"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter","position":[1056,784],"typeVersion":1},{"parameters":{"options":{"systemMessage":"You are a helpful HR assistant designed to answer employee questions based on company policies.\n\nRetrieve relevant information from the provided internal documents and provide a concise, accurate, and informative answer to the employee's question.\n\nUse the tool called \"company_documents_tool\" to retrieve any information from the company's documents.\n\nIf the answer cannot be found in the provided documents, respond with \"I cannot find the answer in the available resources.\""}},"id":"5af1efb1-ea69-466e-bb3b-2b7e6b1ceef7","name":"AI Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[656,1200],"typeVersion":1.7},{"parameters":{"name":"company_documents_tool","description":"Retrieve information from any company documents"},"id":"825632ac-1edf-4e63-948d-b1a498b2b962","name":"Vector Store Tool","type":"@n8n/n8n-nodes-langchain.toolVectorStore","position":[1056,1424],"typeVersion":1},{"parameters":{"pineconeIndex":{"__rl":true,"mode":"list","value":"company-files","cachedResultName":"company-files"},"options":{}},"id":"72d2f685-bcc3-4e62-a5e3-72c0fe65f8e8","name":"Pinecone Vector Store (Retrieval)","type":"@n8n/n8n-nodes-langchain.vectorStorePinecone","position":[960,1600],"typeVersion":1,"credentials":{"pineconeApi":{"id":"JQqGjuhPfZsyLOHk","name":"PineconeApi account"}}},{"parameters":{},"id":"eeff81cb-6aec-4e7f-afe0-432d87085fb2","name":"Embeddings Google Gemini (retrieval)","type":"@n8n/n8n-nodes-langchain.embeddingsGoogleGemini","position":[928,1760],"typeVersion":1,"credentials":{"googlePalmApi":{"id":"xTC5bggV3FN3kz5r","name":"Google Gemini(PaLM) Api account"}}},{"parameters":{"operation":"download","fileId":{"__rl":true,"mode":"id","value":"={{ $json.id }}"},"options":{"fileName":"={{ $json.name }}"}},"id":"8bb6ebb1-1deb-498b-8da4-b809a736e097","name":"Download File From Google Drive","type":"n8n-nodes-base.googleDrive","position":[688,368],"typeVersion":3,"credentials":{"googleDriveOAuth2Api":{"id":"ghvfZZcpO23tYvmn","name":"Google Drive account"}}},{"parameters":{"content":"## Chat with company documents"},"id":"bd83bacf-dff1-4b7c-af5c-b249fb16c113","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[656,1024],"typeVersion":1},{"parameters":{"pollTimes":{"item":[{"mode":"everyMinute"}]},"triggerOn":"specificFolder","folderToWatch":{"__rl":true,"mode":"list","value":"1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W","cachedResultUrl":"https://drive.google.com/drive/folders/1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W","cachedResultName":"INNOVI PRO"},"event":"fileUpdated","options":{}},"id":"7b90daab-0fb2-4c8a-93e6-b138bb04f282","name":"Google Drive File Updated","type":"n8n-nodes-base.googleDriveTrigger","position":[368,512],"typeVersion":1,"credentials":{"googleDriveOAuth2Api":{"id":"ghvfZZcpO23tYvmn","name":"Google Drive account"}}},{"parameters":{"pollTimes":{"item":[{"mode":"everyMinute"}]},"triggerOn":"specificFolder","folderToWatch":{"__rl":true,"mode":"list","value":"1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W","cachedResultUrl":"https://drive.google.com/drive/folders/1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W","cachedResultName":"INNOVI PRO"},"event":"fileCreated","options":{"fileType":"all"}},"id":"3a6c6cef-7a19-42ef-8092-eaf57dae4cdd","name":"Google Drive File Created","type":"n8n-nodes-base.googleDriveTrigger","position":[368,240],"typeVersion":1,"credentials":{"googleDriveOAuth2Api":{"id":"ghvfZZcpO23tYvmn","name":"Google Drive account"}}},{"parameters":{},"id":"1e38f1c8-7bd0-4eeb-addc-62339582d350","name":"Window Buffer Memory","type":"@n8n/n8n-nodes-langchain.memoryBufferWi1���iP7=ᤰ���ǩndow","position":[736,1504],"typeVersion":1.3},{"parameters":{"options":{}},"id":"4b0ab858-99b1-4337-8c5c-a223519e3662","name":"When chat message received","type":"@n8n/n8n-nodes-langchain.chatTrigger","position":[320,1200],"webhookId":"5f1c0c82-0ff9-40c7-9e2e-b1a96ffe24cd","typeVersion":1.1},{"parameters":{"content":"## Add docuemnts to vector store when updating or creating new documents in Google Drive","width":320},"id":"bfb684d1-e5c1-41da-8305-b2606a2eade6","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[672,128],"typeVersion":1},{"parameters":{"modelName":"models/gemini-2.0-flash-exp","options":{}},"id":"8f627ec6-4b3f-43ad-a4a3-e2b199a7fe58","name":"Google Gemini Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","position":[560,1504],"typeVersion":1,"credentials":{"googlePalmApi":{"id":"xTC5bggV3FN3kz5r","name":"Google Gemini(PaLM) Api account"}}},{"parameters":{"modelName":"models/gemini-2.0-flash-exp","options":{}},"id":"f2133a06-0088-46de-9f74-a3f9fe478f98","name":"Google Gemini Chat Model (retrieval)","type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","position":[1312,1600],"typeVersion":1,"credentials":{"googlePalmApi":{"id":"xTC5bggV3FN3kz5r","name":"Google Gemini(PaLM) Api account"}}},{"parameters":{"content":"## Set up steps\n\n1. Google Cloud Project and Vertex AI API:\n* Create a Google Cloud project.\n* Enable the Vertex AI API for your project.\n2. Google AI API Key:\n* Obtain a Google AI API key from Google AI Studio.\n3. Pinecone Account:\n* Create a free account on the Pinecone website.\nObtain your API key from your Pinecone dashboard.\n* Create an index named company-files in your Pinecone project.\n4. Google Drive:\n* Create a dedicated folder in your Google Drive where company documents will be stored.\n5. Credentials in n8n: Configure credentials in your n8n environment for:\n* Google Drive OAuth2\n* Google Gemini(PaLM) Api (using your Google AI API key)\n* Pinecone API (using your Pinecone API key)\n5. Import the Workflow:\n* Import this workflow into your n8n instance.\n6. Configure the Workflow:\n* Update both Google Drive Trigger nodes to watch the specific folder you created in your Google Drive.\n* Configure the Pinecone Vector Store nodes to use your company-files index.","height":720,"width":420},"id":"578deb96-8393-4850-9757-fa97b2bc9992","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-320,592],"typeVersion":1}]{"AI Agent":{"main":[[]]},"Vector Store Tool":{"ai_tool":[[{"node":"AI Agent","type":"ai_tool","index":0}]]},"Default Data Loader":{"ai_document":[[{"node":"Pinecone Vector Store","type":"ai_document","index":0}]]},"Window Buffer Memory":{"ai_memory":[[{"node":"AI Agent","type":"ai_memory","index":0}]]},"Pinecone Vector Store":{"main":[[]]},"Embeddings Google Gemini":{"ai_embedding":[[{"node":"Pinecone Vector Store","type":"ai_embedding","index":0}]]},"Google Gemini Chat Model":{"ai_languageModel":[[{"node":"AI Agent","type":"ai_languageModel","index":0}]]},"Google Drive File Created":{"main":[[{"node":"Download File From Google Drive","type":"main","index":0}]]},"Google Drive File Updated":{"main":[[{"node":"Download File From Google Drive","type":"main","index":0}]]},"When chat message received":{"main":[[{"node":"AI Agent","type":"main","index":0}]]},"Download File From Google Drive":{"main":[[{"node":"Pinecone Vector Store","type":"main","index":0}]]},"Pinecone Vector Store (Retrieval)":{"ai_vectorStore":[[{"node":"Vector Store Tool","type":"ai_vectorStore","index":0}]]},"Recursive Character Text Splitter":{"ai_textSplitter":[[{"node":"Default Data Loader","type":"ai_textSplitter","index":0}]]},"Embeddings Google Gemini (retrieval)":{"ai_embedding":[[{"node":"Pinecone Vector Store (Retrieval)","type":"ai_embedding","index":0}]]},"Google Gemini Chat Model (retrieval)":{"ai_languageModel":[[{"node":"Vector Store Tool","type":"ai_languageModel","index":0}]]}}{"executionOrder":"v1"}{}8c4dad4c-74c4-44a3-aee8-8691d70bab86{"templateId":"2753","templateCredsSetupCompleted":true}2025-09-12 21:01:03.7902025-10-01 16:48:50[]1���iP7=D����}�\ &�&�+-i��)�;U7;; PN5D6R3QrkoRhVVZParse PDF with LlamaParse and save to Airtable[{"parameters":{"operation":"download","fileId":{"__rl":true,"mode":"id","value":"={{ $json.id }}"},"options":{}},"id":"9df72ef9-3b9d-40e4-9cb5-a5ada153c0bb","name":"Google Drive","type":"n8n-nodes-base.googleDrive","position":[1552,368],"typeVersion":3},{"parameters":{"method":"POST","url":"https://api.cloud.llamaindex.ai/api/parsing/upload","sendHeaders":true,"headerParameters":{"parameters":[{"name":"accept","value":"application/json"},{"name":"Authorization","value":"Bearer "},{"name":"parsing_instruction","value":"Please extract invoice line items: Name, Quantity, Unit Price, Amount "}]},"sendBody":true,"contentType":"multipart-form-data","bodyParameters":{"parameters":[{"name":"webhook_url","value":"https://n8n.lowcoding.dev/webhook/0f7f5ebb-8b66-453b-a818-20cc3647c783"},{"parameterType":"formBinaryData","name":"file","inputDataFieldName":"data"},{"name":"disable_ocr","value":"true"},{"name":"disable_image_extraction","value":"True"}]},"options":{}},"id":"e21bb906-658c-4a52-9c7b-b77d6e0e7ea5","name":"Upload File","type":"n8n-nodes-base.httpRequest","position":[1792,368],"typeVersion":4.2},{"paramet1�� -���%;U};3 pkzCNs9ssYl3DmiKRAG Chatbot for Company Documents using Google Drive and Gemini[{"parameters":{"mode":"insert","pineconeIndex":{"__rl":true,"mode":"list","value":"company-files","cachedResultName":"company-files"},"options":{}},"id":"753455a3-ddc8-4a74-b043-70a0af38ff9e","name":"Pinecone Vector Store","type":"@n8n/n8n-nodes-langchain.vectorStorePinecone","position":[912,368],"typeVersion":1,"credentials":{"pineconeApi":{"id":"JQqGjuhPfZsyLOHk","name":"PineconeApi account"}}},{"parameters":{},"id":"a7c8fa7f-cad2-4497-a295-30aa2e98cacc","name":"Embeddings Google Gemini","type":"@n8n/n8n-nodes-langchain.embeddingsGoogleGemini","position":[880,640],"typeVersion":1,"credentials":{"googlePalmApi":{"id":"xTC5bggV3FN3kz5r","name":"Google Gemini(PaLM) Api account"1�1���iP7=F�$N=1�ers":{"pollTimes":{"item":[{"mode":"everyMinute"}]},"triggerOn":"specificFolder","folderToWatch":{"__rl":true,"mode":"list","value":"1IC39VXU8rewBU85offxYlBd9QlYzf8S7","cachedResultUrl":"https://drive.google.com/drive/folders/1IC39VXU8rewBU85offxYlBd9QlYzf8S7","cachedResultName":"Invoices"},"event":"fileCreated","options":{}},"id":"2a0c2331-4612-4b92-a0cc-b316bc663907","name":"Google Drive Trigger","type":"n8n-nodes-base.googleDriveTrigger","position":[1360,368],"typeVersion":1},{"parameters":{"operation":"create","base":{"__rl":true,"mode":"list","value":"appndgSF4faN4jPXi","cachedResultUrl":"https://airtable.com/appndgSF4faN4jPXi","cachedResultName":"Philipp's Base"},"table":{"__rl":true,"mode":"list","value":"tbloPc7Eay4Cvwysq","cachedResultUrl":"https://airtable.com/appndgSF4faN4jPXi/tbloPc7Eay4Cvwysq","cachedResultName":"Invoices"},"columns":{"value":{},"schema":[{"id":"Name","type":"string","display":true,"removed":true,"readOnly":false,"required":false,"displayName":"Name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Line Items","type":"array","display":true,"removed":true,"readOnly":false,"required":false,"displayName":"Line Items","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":[]},"options":{}},"id":"4ad70b03-54f1-4715-9848-56fa6ba18278","name":"Create Invoice","type":"n8n-nodes-base.airtable","position":[1840,880],"typeVersion":2.1},{"parameters":{"operation":"create","base":{"__rl":true,"mode":"list","value":"appndgSF4faN4jPXi","cachedResultUrl":"https://airtable.com/appndgSF4faN4jPXi","cachedResultName":"Philipp's Base"},"table":{"__rl":true,"mode":"list","value":"tblIuVR9ocAomznzK","cachedResultUrl":"https://airtable.com/appndgSF4faN4jPXi/tblIuVR9ocAomznzK","cachedResultName":"Line Items"},"columns":{"value":{"Qty":"={{ $json.qty }}","Amount":"={{ parseFloat($json.amount.replace('$', '').trim()) }}","Invoices":"=[\"{{ $('Create Invoice').item.json.id }}\"]","Unit price":"={{ parseFloat($json.unit_price.replace('$', '').trim()) }}","Description":"={{ $json.description }}"},"schema":[{"id":"Name","type":"string","display":true,"removed":true,"readOnly":false,"required":false,"displayName":"Name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Description","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"Description","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Qty","type":"number","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"Qty","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Unit price","type":"number","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"Unit price","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Amount","type":"number","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"Amount","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Invoices","type":"array","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"Invoices","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":[]},"options":{}},"id":"a408eeb4-2dc2-45ff-a989-92676356f596","name":"Create Line Item","type":"n8n-nodes-base.airtable","position":[2240,880],"typeVersion":2.1},{"parameters":{"method":"POST","url":"=https://api.openai.com/v1/chat/completions","authentication":"predefinedCredentialType","nodeCredentialType":"openAiApi","sendBody":true,"specifyBody":"json","jsonBody":"={\n \"model\": \"gpt-4o-mini\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": {{ JSON.stringify($('Set Fields').item.json.prompt) }}\n },\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify( JSON.stringify($('Webhook').item.json.body.json[0].items) ) }}\n }\n ],\n \"response_format\":{ \"type\": \"json_schema\", \"json_schema\": {{ $('Set Fields').item.json.schema }}\n\n }\n }","options":{}},"id":"7ee324e8-6df3-48d6-b1b8-6fdb610b1ec7","name":"OpenAI - Extract Line Items","type":"n8n-nodes-base.httpRequ1���iP7=+d'��T͡1�est","position":[1616,880],"typeVersion":4.2},{"parameters":{"assignments":{"assignments":[{"id":"dc09a5b4-ff6a-4cee-b87e-35de7336ac05","name":"prompt","type":"string","value":"Please, process parsed data and return only needed."},{"id":"4e0f9af6-517f-42af-9ced-df0e8a7118b0","name":"schema","type":"string","value":"={\n \"name\": \"generate_schema\",\n \"description\": \"Generate schema for an array of objects representing items with their descriptions, quantities, unit prices, and amounts.\",\n \"strict\": true,\n \"schema\": {\n \"type\": \"object\",\n \"required\": [\n \"items\"\n ],\n \"properties\": {\n \"items\": {\n \"type\": \"array\",\n \"description\": \"Array of item objects\",\n \"items\": {\n \"type\": \"object\",\n \"required\": [\n \"description\",\n \"qty\",\n \"unit_price\",\n \"amount\"\n ],\n \"properties\": {\n \"description\": {\n \"type\": \"string\",\n \"description\": \"Description of the item\"\n },\n \"qty\": {\n \"type\": \"string\",\n \"description\": \"Quantity of the item\"\n },\n \"unit_price\": {\n \"type\": \"string\",\n \"description\": \"Unit price of the item formatted as a string\"\n },\n \"amount\": {\n \"type\": \"string\",\n \"description\": \"Total amount for the item formatted as a string\"\n }\n },\n \"additionalProperties\": false\n }\n }\n },\n \"additionalProperties\": false\n }\n}"}]},"options":{}},"id":"eda31919-9091-4d45-bd73-4609b71f93a9","name":"Set Fields","type":"n8n-nodes-base.set","position":[1392,880],"typeVersion":3.4},{"parameters":{"jsCode":"// Get the input from the \"OpenAI - Extract Line Items\" node\nconst input = $(\"OpenAI - Extract Line Items\").first().json;\n\n// Initialize an array for the output\nconst outputItems = [];\n\n// Navigate to the 'content' field in the choices array\nconst content = input.choices[0]?.message?.content;\n\nif (content) {\n try {\n // Parse the stringified JSON in the 'content' field\n const parsedContent = JSON.parse(content);\n\n // Extract 'items' and add them to the output array\n if (Array.isArray(parsedContent.items)) {\n outputItems.push(...parsedContent.items.map(i => ({ json: i })));\n }\n } catch (error) {\n // Handle any parsing errors\n console.error('Error parsing content:', error);\n }\n}\n\n// Return the extracted items\nreturn outputItems;\n"},"id":"cc0d97d8-fb62-43eb-b484-4dd39f8db4b4","name":"Process Line Items","type":"n8n-nodes-base.code","position":[2032,880],"typeVersion":2},{"parameters":{"httpMethod":"POST","path":"0f7f5ebb-8b66-453b-a818-20cc3647c783","options":{}},"id":"741dc44e-6d47-4a77-80c2-5e18b291da33","name":"Webhook","type":"n8n-nodes-base.webhook","position":[1216,880],"webhookId":"0f7f5ebb-8b66-453b-a818-20cc3647c783","typeVersion":2},{"parameters":{"content":"## Scenario 1\n\n","height":400,"width":920},"id":"fbc196c8-7518-4deb-ac47-f37f1b8150eb","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[1168,240],"typeVersion":1},{"parameters":{"content":"## Scenario 2\n\n","height":460,"width":1340},"id":"96368d41-7886-487f-a8a7-e4dac3b01f45","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[1152,784],"typeVersion":1},{"parameters":{"content":"### Replace Google Drive connection","height":80,"width":270,"color":3},"id":"6b7c94d7-c844-4246-ba1a-cea5937792db","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[1376,544],"typeVersion":1},{"parameters":{"content":"### Replace API key in header","height":80,"width":170,"color":3},"id":"9c8141d0-428a-44e5-b900-b07fa64db4f5","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[1760,544],"typeVersion":1},{"parameters":{"content":"### Replace OpenAI connection","height":80,"width":170,"color":3},"id":"482431���iP7=�u�^�k�fe4-4ed1-43dc-b508-8b3f9472bb67","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[1568,1088],"typeVersion":1},{"parameters":{"content":"### Replace Airtable connection","height":80,"width":530,"color":3},"id":"ffc6b530-69ab-4ccb-945d-94f8fdc1e3ab","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[1840,1088],"typeVersion":1},{"parameters":{"content":"### ... or watch set up video [7 min]\n[](https://youtu.be/E4I0nru-fa8)\n","height":239.5888196628349,"width":330.5152611046425,"color":7},"id":"15047f43-5f7e-4c70-a754-fffb41c04611","name":"Sticky Note9","type":"n8n-nodes-base.stickyNote","position":[672,928],"typeVersion":1},{"parameters":{"content":"\n## AI Agent for realtime insights on meetings\n**Made by [Mark Shcherbakov](https://www.linkedin.com/in/marklowcoding/) from community [5minAI](https://www.skool.com/5minai)**\n\nTranscribing meetings manually can be tedious and prone to error. This workflow automates the transcription process in real-time, ensuring that key discussions and decisions are accurately captured and easily accessible for later review, thus enhancing productivity and clarity in communications.\n\nThe workflow leverages n8n and LlamaParse to automatically detect new invoices in a designated Google Drive folder, parse essential billing details, and store the extracted data in a structured format. The key functionalities include:\n- Real-time detection of new invoices via Google Drive triggers.\n- Automated HTTP requests to initiate parsing through Lama Cloud.\n- Structured storage of invoice details and line items in a database for future reference.\n\n1. **Google Drive Integration**: Monitors a specific folder in Google Drive for new invoice uploads.\n2. **Parsing with LlamaParse**: Automatically sends invoices for parsing and processes results through webhooks.\n3. **Data Storage in Airtable**: Creates records for invoices and their associated line items, allowing for detailed tracking.","height":657,"width":636,"color":7},"id":"812f6cc7-a093-41d0-9750-48253d9f04a8","name":"Sticky Note7","type":"n8n-nodes-base.stickyNote","position":[368,240],"typeVersion":1},{"parameters":{"content":"### Set up steps\n\n1. **Google Drive Trigger**: \n - Set up a trigger to detect new files in a specified folder dedicated to invoices.\n\n2. **File Upload to LlamaParse**: \n - Create an HTTP request that sends the invoice file to LlamaParse for parsing, including relevant header settings and webhook URL.\n\n3. **Webhook Processing**: \n - Establish a webhook node to handle parsed results from LlamaParse, extracting needed invoice details effectively.\n\n4. **Invoice Record Creation**: \n - Create initial records for invoices in your database using the parsed details received from the webhook.\n\n5. **Line Item Processing**: \n - Transform string data into structured line item arrays and create individual records for each item linked to the main invoice.","height":626,"width":280,"color":7},"id":"a80e6528-cf79-4229-8c58-6856fd86b6e7","name":"Sticky Note6","type":"n8n-nodes-base.stickyNote","position":[368,928],"typeVersion":1}]{"Webhook":{"main":[[{"node":"Set Fields","type":"main","index":0}]]},"Set Fields":{"main":[[{"node":"OpenAI - Extract Line Items","type":"main","index":0}]]},"Google Drive":{"main":[[{"node":"Upload File","type":"main","index":0}]]},"Create Invoice":{"main":[[{"node":"Process Line Items","type":"main","index":0}]]},"Process Line Items":{"main":[[{"node":"Create Line Item","type":"main","index":0}]]},"Google Drive Trigger":{"main":[[{"node":"Google Drive","type":"main","index":0}]]},"OpenAI - Extract Line Items":{"main":[[{"node":"Create Invoice","type":"main","index":0}]]}}{"executionOrder":"v1"}{}7b50adef-3323-4187-8b08-6ff8478d4bde{"templateId":"2661"}2025-09-12 23:22:56.1722025-09-12 23:22:56.172[]1���iP7=R���/��� ����-#�]�g;UU;3 U6CnpeGsZFZbMs9rV2_RAG copy[{"parameters":{"mode":"insert","pineconeIndex":{"__rl":true,"value":"n8nrag","mode":"list","cachedResultName":"n8nrag"},"embeddingBatchSize":1,"options":{"pineconeNamespace":"={{ $json.File_Name }}"}},"type":"@n8n/n8n-nodes-langchain.vectorStorePinecone","typeVersion":1.3,"position":[-128,-80],"id":"551ad270-2dee-44ac-96c8-9d7a68a4bd1c","name":"Pinecone Vector Store","credentials":{"pineconeApi":{"id":"qokqnwePa9h9J5VA","name":"Pineco1��o-�w� ;UU;3 67Kh5myzaneMj7j3V1_RAG[{"parameters":{"pollTimes":{"item":[{"mode":"everyMinute"}]},"triggerOn":"specificFolder","folderToWatch":{"__rl":true,"value":"1Y4ZJrWGIjTDEXyriDMonk39AWr3HKIsA","mode":"list","cachedResultName":"V1_RAG","cachedResultUrl":"https://drive.google.com/drive/folders/1Y4ZJrWGIjTDEXyriDMonk39AWr3HKIsA"},"event":"fileCreated","options":{}},"type":"n8n-nodes-base.googleDriveTrigger","typeVersion":1,"position":[-400,-96],"id":"c9d48559-bf7a-4dfa-a899-634c1bd4e918","name":"Google Drive Trigger","credentials":{"googleDriveOAuth2Api":{"id":"ghvfZZcpO23tYvmn","name":"Google Drive account"}}},{"parameters":{"operation":"download","fileId":{"__rl":true,"value":"={{ $json.id }}","mode":"id"},"options":{}},"type":"n8n-nodes-base.googleDrive","typeVersion":3,"position":[-208,-96],"id":"b7d6ec93-7196-4c8f-bf92-eb02d924290d","name":"Download file","credentials":{"googleDriveOAuth2Api":{"id":"ghvfZZcpO23tYvmn","name":"Google Drive account"}}},{"parameters":{"dataType":"binary","options":{}},"type":"@n8n/n8n-nodes-langchain.documentDefaultDataLoader","typeVersion":1.1,"position":[96,64],"id":"39bf4ae4-9a57-4421-99ab-af47b35a77dc","name":"Default Data Loader"},{"parameters":{"model":"llama3.1:latest"},"type":"@n8n/n8n-nodes-langchain.embeddingsOllama","typeVersion":1,"position":[-80,64],"id":"770c4977-ff45-462b-ba91-00ee37841aa4","name":"Embeddings Ollama","credentials":{"ollamaApi":{"id":"yShAwFAVyxsRy7rz","name":"Ollama account"}}},{"parameters":{"mode":"insert","pineconeIndex":{"__rl":true,"value":"v2n8n","mode":"list","cachedResultName":"v2n8n"},"embeddingBatchSize":1,"options":{}},"type":"@n8n/n8n-nodes-langchain.vectorStorePinecone","typeVersion":1.3,"position":[0,-96],"id":"b4ece1f6-3940-4fa6-8977-585702c6b75b","name":"Pinecone Vector Store","credentials":{"pineconeApi":{"id":"qokqnwePa9h9J5VA","name":"PineconeApi account 2"}}}]{"Google Drive Trigger":{"main":[[{"node":"Download file","type":"main","index":0}]]},"Download file":{"main":[[{"node":"Pinecone Vector Store","type":"main","index":0}]]},"Default Data Loader":{"ai_document":[[{"node":"Pinecone Vector Store","type":"ai_document","index":0}]]},"Embeddings Ollama":{"ai_embedding":[[{"node":"Pinecone Vector Store","type":"ai_embedding","index":0}]]}}{"executionOrder":"v1"}{}de47ec75-15f3-4003-916a-094dfbb4af71{"templateCredsSetupCompleted":true}2025-09-13 19:43:14.2982025-09-14 00:09:38[]1���iP7=1y�:5�1�neApi account 2"}}},{"parameters":{"model":"llama3.1:latest"},"type":"@n8n/n8n-nodes-langchain.embeddingsOllama","typeVersion":1,"position":[-224,144],"id":"53d53806-0c21-48b0-92f1-7e5fb5b60c7f","name":"Embeddings Ollama","credentials":{"ollamaApi":{"id":"yShAwFAVyxsRy7rz","name":"Ollama account"}}},{"parameters":{"dataType":"binary","textSplittingMode":"custom","options":{}},"type":"@n8n/n8n-nodes-langchain.documentDefaultDataLoader","typeVersion":1.1,"position":[-64,144],"id":"8db6ebe3-dbcb-4b04-8712-ed3c50c77f0d","name":"Default Data Loader"},{"parameters":{"operation":"download","fileId":{"__rl":true,"value":"={{ $json.id }}","mode":"id"},"options":{}},"type":"n8n-nodes-base.googleDrive","typeVersion":3,"position":[-832,-80],"id":"d59bd7ac-a2c2-403f-b739-811a54285b33","name":"Download file","credentials":{"googleDriveOAuth2Api":{"id":"ghvfZZcpO23tYvmn","name":"Google Drive account"}}},{"parameters":{"pollTimes":{"item":[{"mode":"everyMinute"}]},"triggerOn":"specificFolder","folderToWatch":{"__rl":true,"value":"1Y4ZJrWGIjTDEXyriDMonk39AWr3HKIsA","mode":"list","cachedResultName":"V1_RAG","cachedResultUrl":"https://drive.google.com/drive/folders/1Y4ZJrWGIjTDEXyriDMonk39AWr3HKIsA"},"event":"fileCreated","options":{}},"type":"n8n-nodes-base.googleDriveTrigger","typeVersion":1,"position":[-1008,-80],"id":"4485a1be-49a5-415f-81fa-c2b816c58569","name":"Google Drive Trigger","credentials":{"googleDriveOAuth2Api":{"id":"ghvfZZcpO23tYvmn","name":"Google Drive account"}}},{"parameters":{"content":"## Knowledge Base","height":672,"width":1280},"type":"n8n-nodes-base.stickyNote","typeVersion":1,"position":[-1104,-144],"id":"62325837-58b2-43f9-8db7-a680d8a650b8","name":"Sticky Note"},{"parameters":{"content":"## RAG 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���-��#�U;�gUU;3 DGYeqoxTvYf9bqV4V3_RAG[{"parameters":{"mode":"insert","pineconeIndex":{"__rl":true,"value":"n8nrag","mode":"list","cachedResultName":"n8nrag"},"embeddingBatchSize":2,"options":{"pineconeNamespace":"={{ $json.File_ID }}"}},"type":"@n8n/n8n-nodes-langchain.vectorStorePinecone","typeVersion":1.3,"position":[2192,-1072],"id":"9d46c9c8-9493-4298-b99c-326996111819","name":"Pinecone Vector Store","credentials":{"pineconeApi":{"id":"qokqnwePa9h9J5VA","name":"PineconeApi account 2"}}},{"parameters":{"options":{}},"type":"@n8n/n8n-nodes-langchain.embeddingsOpenAi","typeVersion":1.2,"position":[2032,-656],"id":"9a9624bf-1d6d-47da-8443-7448496fcbe5","name":"Embeddings OpenAI","credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}}},{"parameters":{"dataType":"binary","textSplittingMode":"custom","options":{"metadata":{"metadataValues":[{"name":"Apple_Report","value":"={{ $json.name }}"}]}}},"type":"@n8n/n8n-nodes-langchain.documentDefaultDataLoader","typeVersion":1.1,"position":[2192,-816],"id":"7a9b8f3a-ce55-4aee-9b8f-f6db377195e5","name":"Default Data Loader"},{"parameters":{"content":"# Preprocessing\n","height":636,"width":1276},"type":"n8n-nodes-base.stickyNote","typeVersion":1,"position":[528,-1152],"id":"f084ebf2-1adc-4eac-8ab8-356885e60669","name":"Sticky Note"},{"parameters":{"content":"# RAG Chatbot\n","height":732,"width":1272,"color":4},"type":"n8n-nodes-base.stickyNote","typeVersion":1,"position":[528,-464],"id":"ca3c0644-4034-4121-a2b2-ca410f51f84f","name":"Sticky Note1"},{"parameters":{"promptType":"define","text":"={{ $('When chat message received').item.json.chatInput }}","options":{"systemMessage":"=## Overview\nYou are an AI Agent. Your job is to retrieve contextually relevant data and provide concise, helpful answers. The current date and time is {{ $now.toString() }}\n\n## Tools\n(None — respond directly without external tools)\n\n## Rules\n- Maintain a friendly, concise tone\n- Responses must be exactly 2 sentences\n- Always format output as bullet points\n- Audience is internal staff\n\n#1�1���iP7=!���ڹ}�
LL�1 -�k�c;U;3 efdNA57ACq1I9iV4GPT-Oss[{"parameters":{"updates":["message"],"additionalFields":{}},"type":"n8n-nodes-base.telegramTrigger","typeVersion":1.2,"position":[0,0],"id":"a597f732-7b96-4970-b363-053a71ac906f","name":"Telegram Trigger","webhookId":"286c06fd-dce8-4e58-b890-e73291d6fd97"},{"parameters":{"promptType":"define","text":"={{ $json.message.text }}","hasOutputParser":true,"options":{"systemMessage":"=# Sentiment Analysis Agent\n\nYou are **SentimentAnalysisBot** and your task is to **analyze user reviews from Telegram messages** and categorize each review as **Positive**, **Neutral**, or **Negative**, then output the result in a strict JSON format.\n\n---\n\n## Context & Background\n- **Input Source:** Telegram Trigger node passes in `userId` and the message text as the review. \n- **Destination:** The JSON output will be appended as a row in Google Sheets.\n\n---\n\n## Primary Responsibilities\n- **Extract** the original review text from the incoming message. \n- **Classify** the sentiment into one of three labels: `Positive`, `Neutral`, or `Negative`. \n- **Output** exactly valid JSON with no extra fields or commentary.\n-Extract user ID from this {{ $json.message.chat.id }}\n\n---\n\n## Available Tools\n- *No external tools* are connected for this task.\n\n---\n\n## Output Format\nYour **only** output must be a JSON object matching this schema **exactly** (no code fences, no extra text):\n\n```json\n{\n \"userId\": \"123444\",\n \"review\": \"this food is bad\",\n \"sentiment\": \"Positive\"\n}"}},"type":"@n8n/n8n-nodes-langchain.agent","typeVersion":2.1,"position":[208,0],"id":"fd1d47d8-6f6e-4ed6-93e6-62597892e55a","name":"AI Agent"},{"parameters":{"model":"gpt-oss:latest","options":{}},"type":"@n8n/n8n-nodes-langchain.lmChatOllama","typeVersion":1,"position":[128,192],"id":"a9d3156f-ebf1-4cd7-bff3-c9f50d5f3d2e","name":"Ollama Chat Model","credentials":{"ollamaApi":{"id":"yShAwFAVyxsRy7rz","name":"Ollama account"}}},{"parameters":{"operation":"append","documentId":{"__rl":true,"value":"1GNIyh7GRA_vcr38GqnKNQ4t04uavKjFyonzu3W643Fg","mode":"list","cachedResultName":"n8nGPToss","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1GNIyh7GRA_vcr38GqnKNQ4t04uavKjFyonzu3W643Fg/edit?usp=drivesdk"},"sheetName":{"__rl":true,"value":"gid=0","mode":"list","cachedResultName":"Sheet1","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1GNIyh7GRA_vcr38GqnKNQ4t04uavKjFyonzu3W643Fg/edit#gid=0"},"columns":{"mappingMode":"defineBelow","value":{"ID":"={{ $json.output.userId }}","Review":"={{ $json.output.sentiment }}"},"matchingColumns":["ID"],"schema":[{"id":"ID","displayName":"ID","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true,"removed":false},{"id":"Review","displayName":"Review","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true,"removed":false}],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{}},"type":"n8n-nodes-base.googleSheets","typeVersion":4.6,"position":[624,0],"id":"542c1698-a4bc-441c-8000-6e5b4b6cb895","name":"Append row in sheet","credentials":{"googleSheetsOAuth2Api":{"id":"vwmv6keJbqpxUxCf","name":"Google Sheets account"}}},{"parameters":{"jsonSchemaExample":"{\n \"userId\": \"123444\",\n \"review\": \"this food is bad\",\n \"sentiment\": \"Positive\"\n}"},"type":"@n8n/n8n-nodes-langchain.outputParserStructured","typeVersion":1.3,"position":[480,192],"id":"46fb703a-7fa1-4e32-b646-55925611a648","name":"Structured Output Parser"}]{"Telegram Trigger":{"main":[[{"node":"AI Agent","type":"main","index":0}]]},"Ollama Chat Model":{"ai_languageModel":[[{"node":"AI Agent","type":"ai_languageModel","index":0}]]},"AI Agent":{"main":[[{"node":"Append row in sheet","type":"main","index":0}]]},"Structured Output Parser":{"ai_outputParser":[[{"node":"AI Agent","type":"ai_outputParser","index":0}]]}}{"executionOrder":"v1"}{}f0a5f101-3855-426d-8133-bee368d1e9e52025-09-19 14:57:44.2592025-10-01 16:43:17[]1���iP7=Ց���1� 
K�
�-�)���IU7;3 pmaxhZRxYpDDON2EAutomate Email Filtering & AI Summarization. 100% free & effective, works 7/24[{"parameters":{"content":"## 🧪 TEST BEFORE DEPLOYING\n1. Send test email\n2. Check Sheets output\n3. Verify summary quality\n4. Adjust filters/prompt as needed","height":220,"width":300,"color":6},"id":"39b2d4bd-b29b-4e52-864e-0090e8f8e56f","name":"Test Note","type":"n8n-nodes-base.stickyNote","position":[2416,320],"typeVersion":1},{"parameters":{"operation":"appendOrUpdate","documentId":{"__rl":true,"value":"1D2LMwCiSUzmc8kScWKWRbBtsGSDpjwBGriFAGS07btM","mode":"list","cachedResultName":"Teacher_IT_Tickets","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1D2LMwCiSUzmc8kScWKWRbBtsGSDpjwBGriFAGS07btM/edit?usp=drivesdk"},"sheetName":{"__rl":true,"value":"gid=0","mode":"list","cachedResultName":"Sheet1","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1D2LMwCi1΁�-?��G�UU};3
i2tIw5XUhcwrrx1IDavid Email Support Agent[{"parameters":{"promptType":"define","text":"={{ $json.Subject }} {{ $json.Content }}","needsFallback":true,"options":{"systemMessage":"=## Primary Role\nYou are a professional customer support AI agent that processes incoming Gmail messages, provides helpful responses to customers, and logs all support requests for tracking purposes.\n\n## Core Responsibilities\n\n### 1. Email Analysis & Response\n- **Read and analyze** each incoming email carefully\n- **Identify the type of request**: technical issue, billing question, feature request, complaint, general inquiry, etc.\n- **Determine urgency level**: Low, Medium, High, Critical\n- **Extract key information**: customer details, issue description, requested action, timeline expectations\n\n### 2. Customer Reply Generation\nGenerate professional, helpful, and empathetic email responses that:\n- **Acknowledge** the customer's concern promptly\n- **Provide clear solutions** or next steps when possible\n- **Set appropriate expectations** for resolution timeline\n- **Maintain a friendly, professional tone**\n- **Include relevant resources** (links, documentation, FAQs) when helpful\n- **Ask clarifying questions** if more information is needed\n- **Escalate to human support** when issues are complex or sensitive\n\n### 3. Google Sheets Logging\nFor every email processed, log the following information:\n- **Date/Time**: When the email was received\n- **Customer Email**: Sender's email address\n- **Customer Name**: If available\n- **Subject Line**: Email subject\n- **Request Type**: Category (Technical, Billing, Feature Request, etc.)\n- **Priority Level**: Low/Medium/High/Critical\n- **Issue Summary**: Brief description (2-3 sentences max)\n- **Status**: New/In Progress/Resolved/Escalated\n- **Response Sent**: Yes/No\n- **Follow-up Required**: Yes/No/Date\n- **Agent Notes**: Any additional context or actions taken\n\n## Response Templates & Guidelines\n\n### Standard Greeting\n\"Hi {{ $json.Nom }},\n\nThank you for reaching out to us. I've received your message regarding [brief issue summary].\"\n\n### Common Scenarios\n\n**Technical Issues:**\n- Acknowledge the frustration\n- Provide step-by-step troubleshooting\n- Offer alternative solutions\n- Set expectations for resolution\n\n**Billing Questions:**\n- Confirm account details (without exposing sensitive info)\n- Explain charges clearly\n- Provide next steps for disputes\n- Include relevant billing resources\n\n**Feature Requests:**\n- Thank them for the suggestion\n- Explain current roadmap (if applicable)\n- Suggest workarounds if available\n- Confirm request has been logged for product team\n\n**Complaints:**\n-1Ɂ2 -E;U;; tMklwltZMjABsuzsBNI Recommendation Extractor[]{}{"executionOrder":"v1"}{}32817d34-5d7d-4593-bfeb-ccfcf6ed79c12025-10-12 14:24:01.5332025-10-12 14:24:01.533[]1���iP7=ޝ,%t��1� Acknowledge their concern with empathy\n- Take responsibility where appropriate\n- Outline steps to resolve\n- Offer compensation if warranted\n\n### Escalation Criteria\nEscalate to human support when:\n- Customer is extremely upset or threatening\n- Issue involves sensitive account information\n- Technical problem requires developer intervention\n- Billing dispute over significant amount\n- Legal or compliance matters\n- Multiple failed resolution attempts\n\n### Tone Guidelines\n- **Professional** yet conversational\n- **Empathetic** and understanding\n- **Clear** and concise\n- **Proactive** in offering solutions\n- **Apologetic** when appropriate (without admitting fault unnecessarily)\n\n## Memory & Context Management\n- **Remember** previous interactions with the same customer\n- **Reference** past solutions or conversations when relevant\n- **Track** ongoing issues to ensure continuity\n- **Note** customer preferences or special circumstances\n\n## Quality Standards\n- **Response time**: Aim for acknowledgment within 1 hour during business hours\n- **Accuracy**: Ensure all information provided is correct and up-to-date\n- **Completeness**: Address all questions/concerns in the customer's email\n- **Follow-up**: Set reminders for promised callbacks or updates\n\n## Example Response Format\n\nSubject: Re: {{ $json.Subject }} - We're here to help!\n\nHi {{ $json.Nom }},\n\nThank you for contacting us about [issue]. I understand [acknowledge their concern/situation].\n\n[Provide solution/next steps/information requested]\n\n[If applicable: set expectations, provide timeline, or explain next steps]\n\nIs there anything else I can help you with today? We're always here to support you.\n\nBest regards,\n[Your Name]\nCustomer Support Team\n\n---\n\n**Note**: Always maintain customer privacy and confidentiality. Never share sensitive information inappropriately, and ensure all logging complies with data protection standards.\n\n"}},"id":"4a1bcd5c-ac55-4edc-8508-f2921dcc1b68","name":"AI Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[1824,592],"typeVersion":2.1},{"parameters":{"pollTimes":{"item":[{"mode":"everyHour","minute":59}]},"simple":false,"filters":{"sender":"abdalla.bala@gmail.com"},"options":{}},"id":"a2a87327-902b-4f95-b819-25221793fb77","name":"Gmail Trigger","type":"n8n-nodes-base.gmailTrigger","position":[1440,592],"typeVersion":1.2,"alwaysOutputData":false,"executeOnce":false,"credentials":{"gmailOAuth2":{"id":"6zeZfhesQ4wkWVzB","name":"Gmail account API Key"}}},{"parameters":{"sessionIdType":"customKey","sessionKey":"={{ $('Gmail Trigger').item.json.id }}"},"id":"06d647bb-b03d-42bf-8462-204546d3b427","name":"Simple Memory","type":"@n8n/n8n-nodes-langchain.memoryBufferWindow","position":[1888,800],"typeVersion":1.3},{"parameters":{"operation":"appendOrUpdate","documentId":{"__rl":true,"value":"1vIhgniQOWUdgVQkvzQjI2y6e8e0UErDW1E47Ypkkaqk","mode":"list","cachedResultName":"BNI_Referrals","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1vIhgniQOWUdgVQkvzQjI2y6e8e0UErDW1E47Ypkkaqk/edit?usp=drivesdk"},"sheetName":{"__rl":true,"value":618892745,"mode":"list","cachedResultName":"BNI Referrals","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1vIhgniQOWUdgVQkvzQjI2y6e8e0UErDW1E47Ypkkaqk/edit#gid=618892745"},"columns":{"mappingMode":"defineBelow","value":{"Date/Time (Referral)":"={{ $('Code in JavaScript').item.json.Date_de_la_recommandation }}","Customer Email (Referred)":"={{ $('Code in JavaScript').item.json.Adresse_courriel }}","Customer Name (Referred)":"={{ $('Code in JavaScript').item.json.Nom }}","Priority Level":"={{ $('Code in JavaScript').item.json[\"Température\"] }}","Subject Line":"={{ $('Code in JavaScript').item.json.Subject }}","Phone":"={{ $('Code in JavaScript').item.json[\"Numéro_de_téléphone\"] }}","Agent Notes":"={{ $('Code in JavaScript').item.json.Commentaries }}"},"matchingColumns":["Date/Time (Referral)"],"schema":[{"id":"Date/Time (Referral)","displayName":"Date/Time (Referral)","required":false,"defaultMatch":false,"display":true,"type":"string","can1���iP7=,���S欬1�BeUsedToMatch":true,"removed":false},{"id":"Customer Email (Referred)","displayName":"Customer Email (Referred)","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true},{"id":"Customer Name (Referred)","displayName":"Customer Name (Referred)","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true},{"id":"Subject Line","displayName":"Subject Line","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true},{"id":"Priority Level","displayName":"Priority Level","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true},{"id":"Phone","displayName":"Phone","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true,"removed":false},{"id":"Agent Notes","displayName":"Agent Notes","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true}],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{}},"id":"4ce6dbd6-e68a-4e86-92db-4ed5c9b362b4","name":"Append or update row in sheet in Google Sheets","type":"n8n-nodes-base.googleSheetsTool","position":[2032,800],"typeVersion":4.6,"credentials":{"googleSheetsOAuth2Api":{"id":"vwmv6keJbqpxUxCf","name":"Google Sheets account"}}},{"parameters":{"content":"# 🤖 Your First Email Agent with Fallback Model\n\n## 📧 What This Workflow Does\nThis automation creates an intelligent email support system that:\n- **Monitors Gmail** for new customer emails\n- **Processes requests** using AI with smart fallback options\n- **Sends personalized replies** automatically\n- **Logs everything** to Google Sheets for tracking\n\n## 🔄 How the Fallback Model Works\n\n### Primary Model: Google Gemini Chat\n- **Fast & Cost-Effective** - Handles 90% of standard support queries\n- **Great for**: FAQ responses, basic troubleshooting, general inquiries\n\n### Fallback Model: OpenAI GPT\n- **Kicks in when** Gemini fails or encounters complex queries\n- **Better for**: Nuanced responses, technical issues, edge cases\n- **Higher accuracy** for complex customer situations\n\n## 🏗️ Workflow Architecture\n\n```\nGmail Trigger → AI Agent → Response Decision → Actions\n ↓\n [Primary Model]\n ↓\n [Fallback Model] ← (if needed)\n ↓\n [Send Reply + Log Data]\n```\n","height":848,"width":768},"id":"4310966d-894d-490b-9d52-49c1aa03b9ae","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[256,480],"typeVersion":1},{"parameters":{"content":"\n## 💡 Why Use a Fallback Model?\n\n### Reliability\n- **99.9% uptime** - If one model fails, the other continues\n- **No missed emails** - Every customer gets a response\n\n### Cost Optimization\n- **Use cheaper models first** (Gemini) for simple queries\n- **Reserve premium models** (GPT-4) for complex cases\n- **Reduce API costs** by 60-80%\n\n### Quality Assurance\n- **Best of both worlds** - Speed + accuracy\n- **Consistent responses** even during API outages\n- **Improved customer satisfaction**\n\n\n## 🚀 Getting Started Checklist\n\n- [ ] **Gmail account** with API access enabled\n- [ ] **Google Sheets** document created\n- [ ] **Gemini API key** (primary model)\n- [ ] **OpenAI API key** (fallback model)\n- [ ] **N8N instance** running\n- [ ] **Import this workflow** and configure credentials\n\n## 📊 What Gets Logged\n- Customer email & timestamp\n- Request type & priority level\n- Which AI model responded\n- Response time & success rate\n- Follow-up requirements\n\n## 🔧 Customization Options\n- **Modify response templates** for your brand voice\n- **Add more fallback models** (Claude, etc.)\n- **Create custom triggers** (Slack, Discord, etc.)\n- **Build escalation rules** for human handoff\n\n## 💭 Learning Outcomes\nAfter building this workflow, you'll understand:\n- **AI model orchestration** strategiess \n- **Customer service** automation best practices\n- **Multi-model AI** implementation patterns\n\n---\n\n\n\n**1���iP7=��ٮߥ�1�🎓 Educational Focus**: This isn't just automation - it's your introduction to building resilient, intelligent systems that handle real-world business challenges.","height":1360,"width":640},"id":"ddc5d69b-8386-45e1-9b7f-139e5b42c15f","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[3872,80],"typeVersion":1},{"parameters":{"content":"## 🎯 Perfect for Beginners Because:\n\n### Simple Setup\n- **Drag & drop** workflow design\n- **Pre-built integrations** with Gmail & Sheets\n- **Copy-paste ready** - Just add your API keys\n\n### Educational Value\n- **Learn AI orchestration** concepts\n- **Understand fallback patterns** in automation\n- **See real-world AI applications** in action\n\n### Immediate Results\n- **Works out of the box** with minimal configuration\n- **See responses** within minutes of setup\n- **Track performance** in Google Sheets dashboard\n","height":448,"width":464},"id":"08ff7ff4-4c41-43e9-a71d-43e07f0c75e4","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[576,-144],"typeVersion":1},{"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4.1-mini"},"options":{}},"id":"99dd9b98-5384-498e-b3e5-2552bb7016b0","name":"OpenAI Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[1600,864],"typeVersion":1.2,"credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}}},{"parameters":{"options":{}},"id":"b91e9199-c9cd-4dc6-bd8e-9a97aad2f9c4","name":"Gemini Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","position":[1456,864],"typeVersion":1,"credentials":{"googlePalmApi":{"id":"xTC5bggV3FN3kz5r","name":"Google Gemini(PaLM) Api account"}}},{"parameters":{"content":"## Ai Models","height":224,"width":272},"id":"b56d1d13-8b88-4a69-b0d9-c2c35e6f95da","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[1424,768],"typeVersion":1},{"parameters":{"resource":"thread","operation":"reply","threadId":"={{ $('Gmail Trigger').item.json.id }}","messageId":"={{ $('Gmail Trigger').item.json.id }}","message":"={{ $json.output }}","options":{}},"id":"9ecaa23a-40af-4d5f-80ef-a6df1dc9acf9","name":"Reply to a message(Thread)","type":"n8n-nodes-base.gmail","position":[2848,784],"webhookId":"c3d3ef78-4b9a-4392-8b21-497aa09e33af","typeVersion":2.1,"credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"jsCode":"const items = [];\n\nfor (const item of $input.all()) {\n const email = item.json;\n\n // Sender info\n const senderName = email.from?.value?.[0]?.name || '';\n const senderEmail = email.from?.value?.[0]?.address || '';\n\n // Date\n const receivedDate = new Date(email.date);\n const formattedDate = receivedDate.toLocaleString('en-US', {\n year: 'numeric', month: '2-digit', day: '2-digit',\n hour: '2-digit', minute: '2-digit', hour12: true\n });\n\n // Email content\n const content = email.text || email.html || '';\n\n // Helper: extract first occurrence\n const getValue = (label) => {\n const regex = new RegExp(label + '\\\\s+([\\\\s\\\\S]*?)(\\\\n|$)', 'i');\n const match = content.match(regex);\n return match ? match[1].trim() : '';\n };\n\n // Helper: extract second occurrence (for referral section)\n const getSecondValue = (label) => {\n const regex = new RegExp(label + '\\\\s+([\\\\s\\\\S]*?)(\\\\n|$)', 'gi');\n let match;\n let lastMatch = null;\n while ((match = regex.exec(content)) !== null) {\n lastMatch = match[1].trim();\n }\n return lastMatch || '';\n };\n\n // Extract recipient info\n const fullName = getValue(\"Nom\");\n let firstName = '';\n let lastName = '';\n if (fullName) {\n const parts = fullName.trim().split(/\\s+/);\n if (parts.length > 1) {\n firstName = parts[0];\n lastName = parts.slice(1).join(' ');\n } else {\n lastName = fullName;\n }\n }\n\n // Extract referral (recommender) info\n const referralName = getValue(\"Nom du membre\1���iP7=��I�|ς1�");\n const referralPhone = getSecondValue(\"Numéro de téléphone\");\n const referralEmail = getSecondValue(\"Adresse courriel\");\n\n const rowData = {\n \"Date\": formattedDate,\n \"Sender Name\": senderName,\n \"Sender Email\": senderEmail,\n \"Subject\": email.subject || 'No Subject',\n \"Content\": content,\n // Recipient (person referred)\n \"Date_de_la_recommandation\": getValue(\"Date de la recommandation\"),\n \"Nom\": fullName,\n \"First Name\": firstName,\n \"Last Name\": lastName,\n \"Température\": getValue(\"Température\"),\n \"Numéro_de_téléphone\": getValue(\"Numéro de téléphone\"),\n \"Adresse_courriel\": getValue(\"Adresse courriel\"),\n \"Commentaries\": getValue(\"Commentaries\"),\n // Referral (BNI member who sent it)\n \"Referral Name\": referralName,\n \"Referral Phone\": referralPhone,\n \"Referral Email\": referralEmail,\n // Metadata\n \"Has Attachments\": email.attachments?.length > 0 ? 'Yes' : 'No'\n };\n\n items.push({ json: rowData });\n}\n\nreturn items;\n"},"type":"n8n-nodes-base.code","typeVersion":2,"position":[1600,592],"id":"2653705e-2f5d-4ac7-ac28-8cf92d26a784","name":"Code in JavaScript"},{"parameters":{"jsCode":"const items = [];\n\nfor (const item of $input.all()) {\n const emailData = item.json;\n\n // Sender info\n let senderEmail = '';\n let senderName = '';\n if (emailData.from?.value?.[0]) {\n senderEmail = emailData.from.value[0].address || '';\n senderName = emailData.from.value[0].name || senderEmail;\n } else if (emailData.from?.text) {\n const emailMatch = emailData.from.text.match(/<([^>]+)>/) ||\n emailData.from.text.match(/([^\\s]+@[^\\s]+)/);\n senderEmail = emailMatch ? emailMatch[1] : emailData.from.text;\n const nameMatch = emailData.from.text.match(/^([^<]+)/);\n senderName = nameMatch ? nameMatch[1].trim().replace(/\\\"/g, '') : senderEmail;\n }\n\n // Date\n let receivedDate = new Date(emailData.date || emailData.receivedTime);\n if (isNaN(receivedDate)) receivedDate = new Date();\n const formattedDate = receivedDate.toLocaleString('en-US', {\n year: 'numeric', month: '2-digit', day: '2-digit',\n hour: '2-digit', minute: '2-digit', hour12: true\n });\n\n // Email content\n let emailContent = emailData.text || emailData.body || emailData.textPlain || '';\n if (emailData.html) {\n emailContent = emailData.html\n .replace(/]*>.*?<\\/style>/gs, '')\n .replace(/<[^>]*>/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n }\n const maxContentLength = 5000;\n if (emailContent.length > maxContentLength) emailContent = emailContent.substring(0, maxContentLength) + '... [truncated]';\n\n // Parse AI output from \"output\" field\n let aiData = {};\n const aiRaw = emailData.output || \"\";\n if (aiRaw) {\n try {\n const cleaned = aiRaw.replace(/```json/g, '').replace(/```/g, '').trim();\n aiData = JSON.parse(cleaned);\n } catch (err) {\n console.error(\"Failed to parse AI JSON:\", err, aiRaw);\n }\n }\n\n // Merge row data\n const rowData = {\n \"Date\": formattedDate,\n \"Sender Name\": senderName,\n \"Sender Email\": senderEmail,\n \"Subject\": emailData.subject || 'No Subject',\n \"Content\": emailContent,\n \"Date_de_la_recommandation\": aiData.Date_de_la_recommandation || \"\",\n \"Nom\": aiData.Nom || \"\",\n \"Température\": aiData.Température || \"\",\n \"Numéro_de_téléphone\": aiData[\"Numéro_de_téléphone\"] || \"\",\n \"Adresse_courriel\": aiData.Adresse_courriel || \"\",\n \"Commentaries\": aiData.Commentaries || \"\",\n \"Has Attachments\": emailData.attachments?.length > 0 ? 'Yes' : 'No'\n };\n\n items.push({ json: rowData });\n}\n\nreturn1���iP7=C%d�5 �� items;\n"},"type":"n8n-nodes-base.code","typeVersion":2,"position":[2848,976],"id":"96dd6129-adea-4e4f-965c-4e3bbfbf939f","name":"Code in JavaScript1"},{"parameters":{"email":"={{ $('Code in JavaScript').item.json.Adresse_courriel }}","phone":"={{ $('Code in JavaScript').item.json[\"Numéro_de_téléphone\"] }}","additionalFields":{"firstName":"={{ $('Code in JavaScript').item.json[\"First Name\"] }}","name":"={{ $('Code in JavaScript').item.json[\"Last Name\"] }}","source":"BNI","state":"={{ $('Code in JavaScript').item.json.Date_de_la_recommandation }}","notes":"={{ $('Code in JavaScript').item.json.Commentaries }}","tags":"={{ $('Code in JavaScript').item.json[\"Referral Name\"] }}"},"requestOptions":{}},"type":"n8n-nodes-base.highLevel","typeVersion":2,"position":[2160,592],"id":"109d6550-35e6-4816-84d1-6103eb3b691c","name":"Create or update a contact","credentials":{"highLevelOAuth2Api":{"id":"Y8IF6TfGpcsGpXyU","name":"HighLevel account 2"}}},{"parameters":{"resource":"opportunity","pipelineId":"={{ $json.pipelines[5].id }}","contactId":"={{ $('Create or update a contact').item.json.id }}","name":"={{ $('Create or update a contact').item.json.firstName }} {{ $('Create or update a contact').item.json.firstNameLowerCase }}","additionalFields":{"monetaryValue":2495},"requestOptions":{}},"type":"n8n-nodes-base.highLevel","typeVersion":2,"position":[2432,592],"id":"6b28faf6-84ea-4922-96dd-24845b4cd176","name":"Create an opportunity","credentials":{"highLevelOAuth2Api":{"id":"Y8IF6TfGpcsGpXyU","name":"HighLevel account 2"}}},{"parameters":{"url":"=https://rest.gohighlevel.com/v1/pipelines/?locationId={{ $json[\"locationId\"] }}","sendQuery":true,"queryParameters":{"parameters":[{"name":"locationId","value":"={{ $json[\"locationId\"] }}"}]},"sendHeaders":true,"headerParameters":{"parameters":[{"name":"Authorization","value":"=Bearer {{\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJsb2NhdGlvbl9pZCI6InRGeW9iMUc0U2JXbzhyR3R3NTdSIiwiY29tcGFueV9pZCI6IlhlS3E5NHplRTcyVkRUcFlVejFFIiwidmVyc2lvbiI6MSwiaWF0IjoxNjc3MTY1ODQ0MjMyLCJzdWIiOiJ1c2VyX2lkIn0.Qw3TjVOMZCPnq_KHsb7wNyFT-F-cCJ7-H7FPGk6BGAY\"}}"},{"name":"Content-Type","value":"application/json"}]},"options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[2288,800],"id":"e78bcb20-bc99-41e7-af1d-3d35ac8e7978","name":"HTTP Request"},{"parameters":{"resource":"board","operation":"get","id":{"__rl":true,"value":"68f3e538e9126e089dd2e061","mode":"id"},"additionalFields":{}},"type":"n8n-nodes-base.trello","typeVersion":1,"position":[1776,1088],"id":"39a9be5b-b2b2-4606-b56e-a6e878f26207","name":"Get a board","credentials":{"trelloApi":{"id":"rxuR6204DqaDPCFt","name":"Trello account"}}},{"parameters":{"operation":"get","id":{"__rl":true,"value":"68f3e69d6a841e1fa388a529","mode":"id"},"additionalFields":{}},"type":"n8n-nodes-base.trello","typeVersion":1,"position":[1984,1088],"id":"9403577d-df7d-4b49-93d2-f0adc3cc775d","name":"Get a card","credentials":{"trelloApi":{"id":"rxuR6204DqaDPCFt","name":"Trello account"}}}]{"AI Agent":{"main":[[{"node":"Create or update a contact","type":"main","index":0}]]},"Gmail Trigger":{"main":[[{"node":"Code in JavaScript","type":"main","index":0}]]},"OpenAI Model":{"ai_languageModel":[[{"node":"AI Agent","type":"ai_languageModel","index":1}]]},"Simple Memory":{"ai_memory":[[{"node":"AI Agent","type":"ai_memory","index":0}]]},"Gemini Chat Model":{"ai_languageModel":[[{"node":"AI Agent","type":"ai_languageModel","index":0}]]},"Append or update row in sheet in Google Sheets":{"ai_tool":[[{"node":"AI Agent","type":"ai_tool","index":0}]]},"Code in JavaScript":{"main":[[{"node":"AI Agent","type":"main","index":0}]]},"Create or update a contact":{"main":[[{"node":"HTTP Request","type":"main","index":0}]]},"HTTP Request":{"main":[[{"node":"Create an opportunity","type":"main","index":0}]]},"Reply to a message(Thread)":{"main":[[]]},"Get a board":{"main":[[{"node":"Get a card","type":"main","index":0}]]}}{}{}e144fba9-e90e-4bc5-af78-cb8d4d216d46{"templateId":"6287","templateCredsSetupCompleted":true}2025-10-12 14:52:52.3742025-12-04 16:11:11[]1���iP7=��$�1�SUzmc8kScWKWRbBtsGSDpjwBGriFAGS07btM/edit#gid=0"},"columns":{"value":{"Date":"={{ $('info1').item.json.Date }}","summary":"={{ $json.output }}","subject ":"={{ $('info1').item.json.Subject }}","sender name":"={{ $('info1').item.json[\"Sender Name\"] }}","sender email":"={{ $('info1').item.json[\"Sender Email\"] }}"},"schema":[{"id":"sender name","type":"string","display":true,"removed":false,"required":false,"displayName":"sender name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"sender email","type":"string","display":true,"removed":false,"required":false,"displayName":"sender email","defaultMatch":false,"canBeUsedToMatch":true},{"id":"subject ","type":"string","display":true,"removed":false,"required":false,"displayName":"subject ","defaultMatch":false,"canBeUsedToMatch":true},{"id":"summary","type":"string","display":true,"removed":false,"required":false,"displayName":"summary","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Date","type":"string","display":true,"removed":false,"required":false,"displayName":"Date","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":["sender name"],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{}},"id":"75cc1f51-da2d-411a-bd64-7c574c5d5d11","name":"Log to Google Sheets1","type":"n8n-nodes-base.googleSheets","position":[2032,432],"typeVersion":4,"credentials":{"googleSheetsOAuth2Api":{"id":"vwmv6keJbqpxUxCf","name":"Google Sheets account"}}},{"parameters":{"promptType":"define","text":"=Please read this email \"{{ $json.Content }}\" and provide a very short, concise summary containing only the most important information. Keep the summary as brief as possible without losing essential details. ","options":{}},"id":"b5d3d06e-116f-4c40-bbd0-c22cd622af96","name":"AI Agent1","type":"@n8n/n8n-nodes-langchain.agent","position":[1456,368],"typeVersion":2},{"parameters":{"pollTimes":{"item":[{"mode":"=everyHour","minute":59}]},"simple":false,"filters":{"sender":"abdalla.bala@gmail.com"},"options":{"downloadAttachments":false}},"id":"a69f2251-947b-444c-b314-d510870b6583","name":"Gmail Trigger","type":"n8n-nodes-base.gmailTrigger","position":[448,464],"typeVersion":1,"credentials":{"gmailOAuth2":{"id":"6zeZfhesQ4wkWVzB","name":"Gmail account 2"}}},{"parameters":{"conditions":{"options":{"version":1,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"c1d2e3f4-g5h6-i7j8-k9l0-m1n2o3p4q5r6","operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json[\"Sender Name\"] }}","rightValue":"YOUR_SENDER_NAME_FILTER"}]},"options":{}},"id":"a7024314-9303-42f3-a854-dcb385c991f7","name":"Check Valid Email","type":"n8n-nodes-base.if","position":[1120,464],"typeVersion":2},{"parameters":{"model":"llama-3.1-8b-instant","options":{}},"id":"eab995bb-43bf-4c23-9cc1-41b80a9deb0a","name":"Groq Chat Model1","type":"@n8n/n8n-nodes-langchain.lmChatGroq","position":[1312,864],"typeVersion":1},{"parameters":{"jsCode":"const items = [];\n\nfor (const item of $input.all()) {\n const emailData = item.json;\n \n // Handle sender information (unchanged)\n let senderEmail = '';\n let senderName = '';\n\n if (emailData.from?.value?.[0]) {\n senderEmail = emailData.from.value[0].address || '';\n senderName = emailData.from.value[0].name || senderEmail;\n } else if (emailData.from?.text) {\n const emailMatch = emailData.from.text.match(/<([^>]+)>/) || \n emailData.from.text.match(/([^\\s]+@[^\\s]+)/);\n senderEmail = emailMatch ? emailMatch[1] : emailData.from.text;\n \n const nameMatch = emailData.from.text.match(/^([^<]+)/);\n senderName = nameMatch ? nameMatch[1].trim().replace(/\\\"/g, '') : senderEmail;\n }\n\n // Format date (unchanged)\n const receivedDate = new Date(emailData.date || emailData.receivedTime);\n const formattedDate = receivedDate.toLocaleString('en-US', {\n year: 'numeric',\n month: '2-digit',\n day: '2-digit',\n hour: '2-digit',\n minute: '2-digit',\n hour12: true\n });\n\n // FIXED CONTENT EXTRA1���iP7=]�]Q^�.CTION\n let emailContent = '';\n \n // 1. First priority: Plain text version\n if (emailData.text) {\n emailContent = emailData.text;\n } \n // 2. Second priority: HTML version (convert to plain text)\n else if (emailData.html) {\n emailContent = emailData.html\n .replace(/]*>.*?<\\/style>/gs, '') // Remove CSS\n .replace(/<[^>]*>/g, ' ') // Strip HTML tags\n .replace(/\\s+/g, ' ') // Collapse whitespace\n .trim();\n }\n // 3. Fallback to other possible fields\n else if (emailData.body || emailData.textPlain || emailData.textHtml) {\n emailContent = emailData.body || emailData.textPlain || emailData.textHtml;\n }\n\n // Truncate content if too long\n const maxContentLength = 5000;\n if (emailContent.length > maxContentLength) {\n emailContent = emailContent.substring(0, maxContentLength) + '... [truncated]';\n }\n\n // Create row data\n const rowData = {\n 'Date': formattedDate,\n 'Sender Name': senderName,\n 'Sender Email': senderEmail,\n 'Subject': emailData.subject || 'No Subject',\n 'Content': emailContent,\n //'Message ID': emailData.messageId || '',\n 'Has Attachments': emailData.attachments?.length > 0 ? 'Yes' : 'No'\n };\n \n items.push({ json: rowData });\n}\n\nreturn items;"},"id":"d408d58f-c818-4601-8109-f90bb152e381","name":"info1","type":"n8n-nodes-base.code","position":[800,464],"typeVersion":2},{"parameters":{"content":"## 🔑 Step 1: Add Gmail Credentials 👇","height":400,"width":260,"color":5},"id":"2bb19466-2a13-48d1-8f9c-be3db440c061","name":"Sticky Note7","type":"n8n-nodes-base.stickyNote","position":[368,240],"typeVersion":1},{"parameters":{"content":"## 📧 Step 2: Email Processing Node\n","height":400,"width":260,"color":5},"id":"5fef7b17-cca7-4f06-99c0-efe6944b6a48","name":"Sticky Note8","type":"n8n-nodes-base.stickyNote","position":[720,240],"typeVersion":1},{"parameters":{"content":"## ⚙️ Step 3: Sender Filter\n• Replace 'YOUR_SENDER_NAME_FILTER'\n• Only emails from this sender will proceed\n• Supports multiple conditions","height":400,"width":260,"color":5},"id":"bf269863-ccaa-4a22-aff2-a98305d8c354","name":"Sticky Note9","type":"n8n-nodes-base.stickyNote","position":[1040,240],"typeVersion":1},{"parameters":{"content":"## ✍️ Step 4: Customize AI Prompt\n• Default: Short email summary\n• Change tone/formality as needed","height":420,"width":360,"color":5},"id":"2ea54fa1-fd79-48ca-854c-14b706cf3315","name":"Sticky Note10","type":"n8n-nodes-base.stickyNote","position":[1408,224],"typeVersion":1},{"parameters":{"content":"## 🤖 Step 5: AI Configuration\n1. Add Groq API key\n2. Or replace with other AI model\n","height":220,"width":260,"color":5},"id":"92c18c6f-3c83-41e0-8757-67455aff44da","name":"Sticky Note11","type":"n8n-nodes-base.stickyNote","position":[1008,768],"typeVersion":1},{"parameters":{"content":"## 📊 Step 6: Google Sheets Setup\n1. Add Google credentials\n2. Paste Sheet URL\n3. Select target sheet\n4. Columns auto-map to email data","height":400,"width":500,"color":4},"id":"56894a8f-5340-43a3-a852-7d4dadbdd376","name":"Sticky Note12","type":"n8n-nodes-base.stickyNote","position":[1856,240],"typeVersion":1},{"parameters":{"content":"## ✅ Expected Output Format\nColumns: Sender | Date | Email | Subject | Summary\n\n","height":420,"width":700,"color":4},"id":"bb07639e-3edb-4be1-8554-cd6df8ebb22c","name":"Sticky Note13","type":"n8n-nodes-base.stickyNote","position":[1776,704],"typeVersion":1}]{"info1":{"main":[[{"node":"Check Valid Email","type":"main","index":0}]]},"AI Agent1":{"main":[[{"node":"Log to Google Sheets1","type":"main","index":0}]]},"Gmail Trigger":{"main":[[{"node":"info1","type":"main","index":0}]]},"Groq Chat Model1":{"ai_languageModel":[[]]},"Check Valid Email":{"main":[[{"node":"AI Agent1","type":"main","index":0}]]}}{}{}c1d97a36-3dcf-4226-ac42-2a0d2534ae3a{"templateId":"5678"}2025-10-12 16:36:07.0832025-10-12 16:46:26[]1���iP7=R;߁�{1�d Gmail Message:** Sends the tailored follow-up via Gmail. \n7. **Create Asana Task:** Logs the missed call and Loom link for manual follow-up.","height":304,"width":624,"color":7},"id":"4cf05f0d-58d0-4662-b43c-6fe195e90e9b","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[0,0],"typeVersion":1},{"parameters":{"content":"## 🎥 Demo Video \n👉 **[Click here to watch the setup guide](https://www.loom.com/share/c3ea85bbb00c4640917983d3dba9a5ec?sid=ed62e4c9-9e3d-486e-a40c-e2056320b5ef)** ","height":192,"width":480,"color":4},"id":"f184499e-af18-4aa6-8ef4-b7d55b4ff5bc","name":"Sticky Note8","type":"n8n-nodes-base.stickyNote","position":[656,64],"typeVersion":1},{"parameters":{"content":"## Calendly Trigger\n[Read more about Calendly Credentials](https://docs.n8n.io/integrations/builtin/credentials/calendly/)\n\nStarts the workflow when someone cancels a meeting.\nOnly runs when a scheduled call is canceled.. no extra filters needed.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","height":416,"width":416,"color":7},"id":"58b15fbd-50df-4509-b400-a1ab7ac9b1dc","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[32,368],"typeVersion":1},{"parameters":{"content":"## Edit Node\n[Read more about Edit Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set/)\n\nPulls out the important info from the canceled meeting:\n• Type of meeting\n• Name and email of the person\n• Date and time\n• Reason for canceling\n\n\n\n\n\n\n\n\n\n\n\n\n\nThis step helps keep everything simple and easy to use later.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","height":416,"width":416,"color":7},"id":"f6650068-7e72-42e8-b861-b68b906b5646","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[528,368],"typeVersion":1},{"parameters":{"content":"## Write Message with AI\n[Read more about Chat Model node](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/)\n\nUses AI to write a personal message for the person who canceled.\nThe message:\n• Says it’s okay they canceled\n• Summarizes what the call was about\n• Offers to reschedule\n","height":416,"width":416,"color":7},"id":"a48a0016-dc17-47b9-b56e-81d87bf56fa0","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[1040,368],"typeVersion":1},{"parameters":{"content":"## Add Video Link & Finalize Message\nThis step adds your Loom video to the AI-written message, then combines everything into one complete email.\n\nIt takes:\n\t•\tThe custom message written by AI\n\t•\tThe Loom video link you provided\n\t•\tThe person’s name and email\n\nAnd merges them into a single, ready-to-send message.\n","height":416,"width":832,"color":7},"id":"849acf27-4a53-4add-8063-cabae914bab9","name":"Sticky Note6","type":"n8n-nodes-base.stickyNote","position":[1552,368],"typeVersion":1},{"parameters":{"content":"## Send Email with Gmail\n[Read more about Gmail node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/)\n\nSends the follow-up email using your Gmail account.\nIt includes the message, subject line, and Loom video.\n\nMake sure your Gmail is connected first.\n","height":416,"width":416,"color":7},"id":"7be02042-ad65-4ff6-b593-56ce15a04e1c","name":"Sticky Note7","type":"n8n-nodes-base.stickyNote","position":[2496,80],"typeVersion":1},{"parameters":{"content":"## Create Task in Asana\n[Read more about Asana node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.asana/)\n\nMakes a task in Asana to remind your team to follow up.\nThe task includes:\n• Name of the person\n• A note that an email was sent\n• Link to the Loom video\n\nIt also assigns the task to your teammate and adds it to a project.","height":464,"width":416,"color":7},"id":"e9cc56ee-e5ef-4671-928b-5679f63fa7ca","name":"Sticky Note9","type":"n8n-nodes-base.stickyNote","position":[2496,544],"typeVersion":1},{"parameters":{"events":["invitee.canceled"]},"id":"e0558a53-7ef3-4fa0-beae-fd3ed1d3631e","name":"Trigger on Meeting Cancellation","type":"n8n-nodes-base.calendly1���iP7= p�
��Trigger","position":[176,560],"webhookId":"2e498516-c66c-404c-9222-d9ed6533a6ee","typeVersion":1},{"parameters":{"mode":"raw","jsonOutput":"{\n \"event\": \"invitee.canceled\",\n \"payload\": {\n \"event_type\": {\n \"name\": \"Discovery Call\"\n },\n \"scheduled_event\": {\n \"start_time\": \"2025-07-23T14:00:00Z\"\n },\n \"cancel_reason\": \"Something came up\",\n \"invitee\": {\n \"name\": \"Sarah Johnson\",\n \"email\": \"sarah@example.com\"\n }\n }\n}","options":{}},"id":"aabab31f-b464-43fb-9192-0a3dcfa5d4c0","name":"Extract Meeting Info","type":"n8n-nodes-base.set","position":[672,560],"typeVersion":3.4},{"parameters":{"modelId":{"__rl":true,"mode":"list","value":"gpt-4o-mini","cachedResultName":"GPT-4O-MINI"},"messages":{"values":[{"content":"=You are a helpful assistant that writes friendly, casual emails in a warm and natural tone.\n\nWrite only the email body — do not include a subject line or greeting like “Subject:”\nUse this context: [insert payload here]","role":"system"},{"content":"=Write a short, friendly follow-up email for someone who just canceled our scheduled meeting. Their name is {{ $json[\"payload\"][\"invitee\"][\"name\"] }}.\n\nKeep the tone casual and warm.\n\nLet them know it’s totally fine, but you recorded a quick Loom video in case they still want to check it out. End with a light invitation to reschedule if they’d like."}]},"options":{}},"id":"1957dd00-e981-48a7-a308-82a91ad7675b","name":"Write Follow-Up Message (GPT)","type":"@n8n/n8n-nodes-langchain.openAi","position":[1136,624],"typeVersion":1.8},{"parameters":{"assignments":{"assignments":[{"id":"b9bf2ffb-d054-45e5-beaf-fec53279aa2f","name":"loom_link","type":"string","value":"https://www.loom.com/share/970a3fba1ed44352a2194f1ef6a8dc45"},{"id":"244e1c42-e468-44d0-8b8a-8564e33e6633","name":"subject","type":"string","value":"Sorry we missed each other — here’s a quick video"},{"id":"13ce91ca-e10f-43cc-8342-e7c1b6d4fcd9","name":"email_body","type":"string","value":"={{ $json[\"message\"][\"content\"] + \"\\n\\nWatch here: https://www.loom.com/share/970a3fba1ed44352a2194f1ef6a8dc45\" }}"}]},"options":{}},"id":"7ae66b95-c135-4cca-bb28-84ae7225e18a","name":"Add Loom Video URL","type":"n8n-nodes-base.set","position":[1712,624],"typeVersion":3.4},{"parameters":{"mode":"combine","combineBy":"combineAll","options":{}},"id":"d40112e6-2037-4441-b848-d356552f820d","name":"Merge Message & Video","type":"n8n-nodes-base.merge","position":[2128,544],"typeVersion":3.2},{"parameters":{"sendTo":"={{ $json[\"payload\"][\"invitee\"][\"email\"] }}","subject":"={{ $json.subject }}","message":"={{ $json.email_body }}","options":{}},"id":"2429d543-76fe-4695-92c7-77a569644aa9","name":"Send Email with Gmail","type":"n8n-nodes-base.gmail","position":[2640,304],"webhookId":"3c1516df-b824-4c91-ae15-f86f3df39732","typeVersion":2.1},{"parameters":{"authentication":"oAuth2","workspace":"1210873801747271","name":"=Follow-up with {{ $json.payload.invitee.name }} after missed call","otherProperties":{"assignee":"1210873801747258","notes":"=Missed meeting with {{ $json.payload.invitee.name }}.\nEmail sent with this Loom: {{ $json.loom_link }}","projects":["1210873956748877"]}},"id":"1dc85eaa-ae34-4e0a-b4b3-14919cc897fc","name":"Create Task in Asana","type":"n8n-nodes-base.asana","position":[2656,816],"typeVersion":1}]{"Add Loom Video URL":{"main":[[{"node":"Merge Message & Video","type":"main","index":1}]]},"Extract Meeting Info":{"main":[[{"node":"Write Follow-Up Message (GPT)","type":"main","index":0},{"node":"Merge Message & Video","type":"main","index":0}]]},"Merge Message & Video":{"main":[[{"node":"Send Email with Gmail","type":"main","index":0},{"node":"Create Task in Asana","type":"main","index":0}]]},"Write Follow-Up Message (GPT)":{"main":[[{"node":"Add Loom Video URL","type":"main","index":0}]]},"Trigger on Meeting Cancellation":{"main":[[{"node":"Extract Meeting Info","type":"main","index":0}]]}}{"executionOrder":"v1"}{}847e5e52-0d46-4fb6-aa5c-03975d337e412025-10-19 14:06:06.0632025-10-19 14:06:19[]1���iP7=�}�=Z6 
YB
Y�^-1�G�K;U;3 kwIix0BPCB5n1s6zCalendly API Setup[{"parameters":{"assignments":{"assignments":[{"id":"57d266ad-fa73-4e7a-8630-200e6bdc0da0","name":"payload.email","type":"string","value":"={{ $json.payload.email }}"},{"id":"01b92620-7ee3-4805-bee8-ac8a3e9971fd","name":"payload.questions_and_answers[0].answer","type":"string","value":"={{ $json.payload.questions_and_answers[0].answer }}"},{"id":"3742a6c0-d214-4020-bab3-cdae2c7a297c","name":"payload.name","type":"string","value":"={{ $json.payload.name }}"},{"id":"a195c86d-8f23-4787-8a44-15d9e15d2396","name":"payload.scheduled_event.start_time","type":"string","value":"={{ $json.payload.scheduled_event.start_time }}"}]},"options":{}},"id":"9f56846d-6f9d-40a9-a8ca-470b682d0586","name":"Edit Fields1","type":"n8n-nodes-base.set","position":[608,944],"typeVersion":3.4},{"parameters":{"promptType":"define","text":"=Name: {{ $json.payload.name }} About: {{ $json.payload.questions_and_answers[0].answer }} Start Time: {{ $json.payload.scheduled_event.start_time }}","hasOutputParser":true,"options":{"systemMessage":"=You are a helpful assistant. Write an email to the user. Elaborate on how we can help them with their topic and give my fake phone number for now (514) 814-1999. Write the email in html. also put the meeting date in there. \n\n\noutput like this. \n\n{\n\t\"email\": \"html email\"\n}"}},"id":"c8d570b9-323c-4c73-80e1-628997422c68","name":"AI Agent1","type":"@n8n/n8n-nodes-langchain.agent","position":[816,944],"typeVersio1��/ -U��M�A;U;3 PCmu5eI2sRjTXQ32Loom Follow Up After Missed Meetings[{"parameters":{"content":"## 📩 Auto-Follow Up After Missed Meetings\n\nThis workflow detects canceled meetings from Calendly, generates a personalized Loom follow-up email with GPT, and creates a task in Asana to ensure leads are never lost.\n\t•\tGPT writes a friendly follow-up message tailored to the invitee.\n\t•\tA Loom link is inserted into the email for a personal touch.\n\t•\tAn Asana task is created so your team can follow up manually if needed.\n\n### Who it’s for\n\t•\tB2B consultants, agencies, and founders who book calls via Calendly.\n\t•\tSales teams who want to automate lead recovery from no-shows.\n\t•\tAnyone who wants to turn cancellations into conversations.\n\n### How to Set Up\n\t1.\tCreate a Calendly webhook for the invitee.canceled event.\n\t2.\tAdd your OpenAI, Gmail, and Asana credentials in n8n.\n\t3.\tCustomize the GPT prompt in the Message a Model node.\n\t4.\tPaste your Loom link into the Loom Link node.\n\t5.\tSet your Asana assignee and project in the Create Task node.\n\n### Requirements\n\t•\tCalendly (for webhooks)\n\t•\tOpenAI API Key\n\t•\tGmail account (OAuth)\n\t•\tAsana account with project access\n\n### How to Customize\n\t•\tUpdate the GPT prompt tone or call-to-action.\n\t•\tAutomate the Loom link generation via API or AI later.\n\t•\tAdd a Slack notification node for internal visibility.\n\n**Need Help?**\n\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/).","height":1008,"width":448},"id":"57990931-c2bc-482b-afcb-58e3b75d5c33","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-480,48],"typeVersion":1},{"parameters":{"content":"## ⚙️ Workflow Breakdown \n1. **Calendly Webhook Trigger:** Fires when a user cancels a scheduled event. \n2. **Edit Fields:** Extracts name, email, event type, and reason from the webhook. \n3. **GPT Message Generator:** Uses OpenAI to draft a personalized follow-up message. \n4. **Loom Link Injection:** Adds your pre-recorded Loom video URL to the output. \n5. **Merge:** Combines GPT message with user details and Loom link. \n6. **Sen1�1���iP7=%gӼ��B�n":2.2},{"parameters":{"jsonSchemaExample":"{\n\t\"email\": \"html email\",\n\t\"slack\": \"Slack Message\"\n}"},"id":"0d4ab50e-b463-4e32-b0b2-68c8f90c41d4","name":"Structured Output Parser1","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[1040,1152],"typeVersion":1.3},{"parameters":{"toRecipients":"={{ $('Edit Fields1').item.json.payload.email }}","subject":"Calendly Details","bodyContent":"={{ $json.output.email }}","additionalFields":{"bodyContentType":"html"}},"id":"9e196f0f-acfb-433b-891e-e502633fc02f","name":"Send a message2","type":"n8n-nodes-base.microsoftOutlook","position":[1328,1152],"webhookId":"2f801cc8-4cdf-4f29-a6af-a872d46cb7d7","typeVersion":2,"disabled":true},{"parameters":{"content":"\n### ⚙️ Step-by-Step Setup Instructions\n\n#### 1. 🔗 Calendly API Setup\n- Go to **Credentials → Add Credential → Calendly API** in n8n.\n- Authenticate with your Calendly personal access token.\n- Set your **Calendly Trigger** node to listen for `invitee.created` events.\n\n#### 2. 📧 Microsoft Outlook Setup\n- Add credentials via **Microsoft Outlook OAuth2** in n8n.\n- Select the credential in the \"Send a message\" node.\n- This node will send an HTML-formatted response to the user's email.\n\n#### 3. 🤖 OpenAI AI Agent\n- Add your OpenAI key under **Credentials → OpenAI API**.\n- The AI Agent prompt is already pre-configured to:\n - Generate an **HTML email**\n - Mention how you can help\n - Include the user's question, meeting date, and your placeholder phone number (`111-111-1111`)\n\n---","height":1168,"width":1680,"color":4},"id":"26337e7c-8f04-4dc4-9153-b6a99804bcad","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[0,192],"typeVersion":1},{"parameters":{"authentication":"oAuth2","scope":"organization","events":["invitee.created","invitee.canceled"]},"id":"50731d37-4192-48cf-955c-faedf93d2125","name":"Calendly Event","type":"n8n-nodes-base.calendlyTrigger","position":[304,944],"webhookId":"30861dd4-1d11-4fe7-b7a5-764ed90390f7","typeVersion":1,"credentials":{"calendlyOAuth2Api":{"id":"oFDc0cpDYdPfPnlj","name":"Calendly account"}}},{"parameters":{"sendTo":"={{ $('Edit Fields1').item.json.payload.email }}","subject":"Calendly Details","message":"={{ $json.output.email }}","options":{}},"type":"n8n-nodes-base.gmail","typeVersion":2.1,"position":[1152,944],"id":"5e7e80fa-5c94-4669-9226-2f497396717f","name":"Send a message","webhookId":"d78045f3-e713-43bb-926e-9ba8eb3536cf","credentials":{"gmailOAuth2":{"id":"HUCZeddoQDLRs7rZ","name":"Gmail account Key"}}},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.memoryBufferWindow","typeVersion":1.3,"position":[832,1152],"id":"efadfe05-1353-45e4-b7c1-43ed96e1429f","name":"Simple Memory","disabled":true},{"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4.1-mini"},"options":{}},"id":"98f23da4-b975-4b09-9b60-781112fa4d49","name":"OpenAI Chat Model1","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[544,1168],"typeVersion":1.2,"credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}}},{"parameters":{"options":{}},"type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","typeVersion":1,"position":[672,1152],"id":"63daf6c0-ee0c-4665-b1ad-ab2d7e1b06e5","name":"Google Gemini Chat Model","credentials":{"googlePalmApi":{"id":"xTC5bggV3FN3kz5r","name":"Google Gemini(PaLM) Api account"}}}]{"AI Agent1":{"main":[[{"node":"Send a message","type":"main","index":0}]]},"Edit Fields1":{"main":[[{"node":"AI Agent1","type":"main","index":0}]]},"Calendly Event":{"main":[[{"node":"Edit Fields1","type":"main","index":0}]]},"Structured Output Parser1":{"ai_outputParser":[[{"node":"AI Agent1","type":"ai_outputParser","index":0}]]},"Send a message2":{"main":[[]]},"Simple Memory":{"ai_memory":[[{"node":"AI Agent1","type":"ai_memory","index":0}]]},"OpenAI Chat Model1":{"ai_languageModel":[[]]},"Google Gemini Chat Model":{"ai_languageModel":[[{"node":"AI Agent1","type":"ai_languageModel","index":0}]]}}{"executionOrder":"v1"}{}b1343d62-5046-4112-9d26-84a2497b11142025-10-19 14:17:23.7232025-10-27 17:53:29[]1���iP7=�a� �S�#if location}}Location:\n{{location}}{{/if}}\n\n{{#if guest_notes}}🗒️ Notes:\n{{guest_notes}}{{/if}}\n\n{{#if event_link}}\n{{#unless (eq event_link location)}}\n📄 View Details:\n{{event_link}}\n{{/unless}}\n{{/if}}\n\n— Your Scheduling Assistant\n\nBooking Rescheduled:\nHello {{owner_name}},\n\n🔄 Booking Rescheduled!\n\nGuest(s): {{#each guests}}{{this.name}} ({{this.email}}){{#unless @last}}, {{/unless}}{{/each}}\nEvent: {{event_name}}\nOld Date:\n{{old_date}}\nOld Time:\n{{old_time}} ({{old_timezone}})\nNew Date:\n{{new_date}}\nNew Time:\n{{new_time}} ({{new_timezone}})\n\n{{#if location}}Location:\n{{location}}{{/if}}\n\n{{#if guest_notes}}🗒️ Notes:\n{{guest_notes}}{{/if}}\n{{#if reschedule_reason}}(Reschedule Reason: {{reschedule_reason}}){{/if}}\n\n{{#if event_link}}\n{{#unless (eq event_link location)}}\n📄 View Details:\n{{event_link}}\n{{/unless}}\n{{/if}}\n\n— Your Scheduling Assistant\n\nBooking Cancelled:\nHello {{owner_name}},\n\n❌ Booking Cancelled!\n\nGuest(s): {{#each guests}}{{this.name}} ({{this.email}}){{#unless @last}}, {{/unless}}{{/each}}\nEvent: {{event_name}}\nOriginal Date:\n{{date}}\nOriginal Time:\n{{time}} ({{timezone}})\n\n{{#if location}}Location:\n{{location}}{{/if}}\n\n{{#if guest_notes}}🗒️ Notes:\n{{guest_notes}}{{/if}}\n\n{{#if event_link}}\n{{#unless (eq event_link location)}}\n📄 View Details:\n{{event_link}}\n{{/unless}}\n{{/if}}\n\n— Your Scheduling Assistant\n\nMeeting Ended:\nHello {{owner_name}},\n\n✅ Meeting Ended\n\nGuest(s): {{#each guests}}{{this.name}} ({{this.email}}){{#unless @last}}, {{/unless}}{{/each}}\nEvent: {{event_name}}\nDate:\n{{date}}\nTime:\n{{time}} ({{timezone}})\n\n{{#if location}}Location:\n{{location}}{{/if}}\n\n{{#if event_link}}\n{{#unless (eq event_link location)}}\n📄 View Details:\n{{event_link}}\n{{/unless}}\n{{/if}}\n\n— Your Scheduling Assistant"}},"id":"c02cc3e5-be94-4147-b8ea-4af561f9a497","name":"Message Generator","type":"@n8n/n8n-nodes-langchain.agent","position":[1136,224],"typeVersion":2.2},{"parameters":{"operation":"send","phoneNumberId":"661627073710535","recipientPhoneNumber":"mobile number","textBody":"={{ $json.output }}","additionalFields":{}},"id":"1c80a467-1068-4a6b-9591-9b285cb421b6","name":"WhatsApp Notification","type":"n8n-nodes-base.whatsApp","position":[1488,224],"webhookId":"11c3992f-8721-4ceb-9b99-818111c1df5d","typeVersion":1},{"parameters":{"content":"## 📅 Calendar Booking Notifications to WhatsApp\n\n**What this workflow does:**\n- Monitors booking events from both Cal.com and Calendly\n- Automatically generates formatted WhatsApp messages for booking updates\n- Sends instant notifications to the meeting host\n\n**Supported Events:**\n- ✅ New Bookings\n- 🔄 Rescheduled Meetings \n- ❌ Cancelled Bookings\n- 🏁 Meeting Ended (Cal.com only)\n\n**Features:**\n- Smart message formatting with WhatsApp markdown\n- Emoji-enhanced notifications\n- Guest details and meeting information\n- Timezone-aware time display\n- Memory for context awareness\n\n**Setup Required:**\n1. Connect your Cal.com/Calendly accounts\n2. Configure WhatsApp Business API credentials\n3. Update recipient phone number in WhatsApp node\n4. Test with sample bookings\n\n💡 **Pro Tip:** Customize the message templates in the AI Agent node to match your brand voice!","height":672,"width":1808},"id":"a9512c0c-7be2-45a0-9f98-77ff895b7e27","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[64,16],"typeVersion":1}]{"Merge Data":{"main":[[{"node":"Message Generator","type":"main","index":0}]]},"Simple Memory":{"ai_memory":[[{"node":"Message Generator","type":"ai_memory","index":0}]]},"Cal.com Events ":{"main":[[]]},"Calendly Events":{"main":[[{"node":"Merge Data","type":"main","index":0}]]},"Message Generator":{"main":[[{"node":"WhatsApp Notification","type":"main","index":0}]]},"Google Gemini Chat Model":{"ai_languageModel":[[{"node":"Message Generator","type":"ai_languageModel","index":0}]]}}{"executionOrder":"v1"}{}eee7c199-582a-4381-9e41-400cc38927742025-10-19 14:26:12.2922025-10-19 15:00:35[]1���iP7=]��(��xf
���-a�w�];U;3 zWzoUo7nHbJ4MjAFCalendar Booking Notifications to WhatsApp[{"parameters":{"options":{}},"id":"b8ddd423-2a0f-49bc-9b83-b77c207c4b62","name":"Google Gemini Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","position":[1136,432],"typeVersion":1,"credentials":{"googlePalmApi":{"id":"xTC5bggV3FN3kz5r","name":"Google Gemini(PaLM) Api account"}}},{"parameters":{"sessionIdType":"customKey","sessionKey":"heello"},"id":"91bf4f35-12fd-448c-b026-19860ba51949","name":"Simple Memory","type":"@n8n/n8n-nodes-langchain.memoryBufferWindow","position":[1280,448],"typeVersion":1.3},{"parameters":{"events":["BOOKING_RESCHEDULED","BOOKING_CREATED","BOOKING_CANCELLED","MEETING_ENDED"],"options":{}},"id":"9a532ec1-0357-40a9-b07e-c7cb281c70af","name":"Cal.com Events ","type":"n8n-nodes-base.calTrigger","position":[688,320],"webhookId":"f253b766-4a3f-4e77-af3e-a149cc072937","typeVersion":2},{"parameters":{"authentication":"oAuth2","events":["invitee.created","invitee.canceled"]},"id":"2eab25b9-f108-4e59-96c4-9100bd748fb8","name":"Calendly Events","type":"n8n-nodes-base.calendlyTrigger","position":[688,128],"webhookId":"ab054f51-87a1-4371-9b4e-d3f5beb0cc1d","typeVersion":1,"credentials":{"calendlyOAuth2Api":{"id":"oFDc0cpDYdPfPnlj","name":"Calendly account"}}},{"parameters":{"aggregate":"aggregateAllItemData","options":{}},"id":"da33a57a-63af-45c3-9393-b1e962ab3368","name":"Merge Data","type":"n8n-nodes-base.aggregate","position":[912,224],"typeVersion":1},{"parameters":{"promptType":"define","text":"={{ $json.data.toJsonString() }}","options":{"systemMessage":"You are an automation that listens to booking events from Cal.com or Calendly and sends an instant WhatsApp message to the meeting host.\n\nThe output must be ONLY the WhatsApp message body — no explanations, no labels, no markdown instructions.\n\nRules:\n\nUse WhatsApp markdown formatting for readability:\n\nBold: text\n\nItalic: text (optional)\n\nUse line breaks generously to separate sections.\n\nAlways put date and time on separate lines.\n\nNo duplicate fields. If data is missing, skip that line entirely.\n\nIf event_link is identical to location, show it only once (under Location).\n\nUse emojis sparingly:\n\n🔔 for New Booking\n\n🔄 for Rescheduled\n\n❌ for Cancelled\n\n✅ for Meeting Ended\n\n📄 for event links\n\n🗒️ for notes\n\nKeep spacing clean — one blank line between main sections (guest info, date/time, location, notes, link).\n\nIf multiple guests, show in the format:\nName (email), Name2 (email2)\n\nAlways end with:\n— Your Scheduling Assistant\n\nBooking Created:\nHello {{owner_name}},\n\n🔔 New Booking Alert!\n\nGuest(s): {{#each guests}}{{this.name}} ({{this.email}}){{#unless @last}}, {{/unless}}{{/each}}\nEvent: {{event_name}}\nDate:\n{{date}}\nTime:\n{{time}} ({{timezone}})\n\n{{1�1���iP7=�~�)0fa82-546b-4bf1-8939-727e5887bf24","name":"PDF Extractor","type":"n8n-nodes-base.extractFromFile","position":[528,848],"typeVersion":1},{"parameters":{"operation":"toText","sourceProperty":"output","options":{}},"id":"349a1ccd-905b-4d2b-a15d-954e9271c300","name":"Publisher","type":"n8n-nodes-base.convertToFile","position":[1088,848],"typeVersion":1.1},{"parameters":{"operation":"write","options":{}},"id":"2023441a-c423-4c76-986e-96334f0a7f3c","name":"Save to Folder","type":"n8n-nodes-base.readWriteFile","position":[1280,848],"typeVersion":1},{"parameters":{"content":"Right click and open local file trigger.\n-Insert the path to your folder. Open the folder and copy and paste the path at the top.\n-Example C:/Desktop/PDF\n-In the above example, PDF is the name of the folder.\n \nCreate an open ai key:\n-Create an open AI account\n-Go to platform.openai.com/api-keys\n-After creating an account click on your name in the top right corner. Click on your profile.\n-On the left side click on API keys.\n-Create new secret key.\n-Give it a name (optional).\n-Create secret key and copy.\n-Open the n8n workflow.\n-Right click and open the OpenAI chat model under Summarizer tools Agent.\n-Click under credential to connect with and click create new credential.\n-Paste the copied API Key in this position in n8n.\n-IMPORTANT: This workflow uses GPT-4o. This cost ~$0.01 per run. You must put money, recommend no more than $5, into your open ai account.\n-Click on your profile again. On left hand side click on billing. Add credit to balance.\n \n \n \nRight click on save to folder node.\n-Insert path to folder where you want the summary saved.\n-Example C:/Desktop/Summary/Summary.txt\nTips: you can try saving it as a pdf, but I found saving it as a txt had less errors. \n-You can copy the path again, but you must make sure all \\ are / in the path. This is how n8n interprets the pathway. The trigger node does not matter and should not be changed because the converter node does this automatically.\n \n \nCommon issues:\n-If your first open/read/write files from disk node has an error saying no data, try running n8n as administrator.\n-If running localhost, search command prompt or terminal, before opening right click and choose run as administrator. Then start n8n as you normally would.\n-If the pdf is too large open AI will not be able to summarize it and will have an error that you have reached your limit of requests.\n \n \n \nHow it works:\nYou will have a folder predetermined on your computer. When you find a pdf of a scientific article that you would like a summary of, open n8n and click test workflow. Then save the pdf to the dedicated folder. With n8n running you click test step on the trigger. It will automatically produce a summary of the pdf and save it to a specified folder.\n \nHow to improve:\nIf you have a specific expertise in a field of study, you can customize the output to that field. For example, if you are a marine biologist, you can change the portion of the text prompt in the summarizer tool from \"You are a research expert who is providing data to another researcher.\" to \"You are a marine biologist expert who is providing data to another marine biologist.\"","height":820,"width":1320,"color":5},"id":"5bd22d49-952b-42f6-9e61-2b3ab350731f","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[0,0],"typeVersion":1}]{"Converter":{"main":[[{"node":"PDF Finder","type":"main","index":0}]]},"Publisher":{"main":[[{"node":"Save to Folder","type":"main","index":0}]]},"PDF Finder":{"main":[[{"node":"PDF Extractor","type":"main","index":0}]]},"Summarizer":{"main":[[{"node":"Publisher","type":"main","index":0}]]},"PDF Extractor":{"main":[[{"node":"Summarizer","type":"main","index":0}]]},"OpenAI Chat Model":{"ai_languageModel":[[{"node":"Summarizer","type":"ai_languageModel","index":0}]]},"Local File Trigger":{"main":[[{"node":"Converter","type":"main","index":0}]]}}{"executionOrder":"v1"}{}d95749a4-9841-465b-be22-bec5d30d0843{"templateCredsSetupCompleted":true}2025-10-19 14:31:58.0512025-10-19 14:31:58.051[]1���iP7=[�Z��

�
��p-�3� �Y;UU;; MgWZ60nYqzLViJUvAutomatically Generate Structured Summaries of Scientific Research PDFs with GPT-4o[{"parameters":{"triggerOn":"folder","events":["add"],"options":{}},"id":"0cf0b8d2-2dd5-4bcc-a729-4384e11fd1b5","name":"Local File Trigger","type":"n8n-nodes-base.localFileTrigger","position":[-80,848],"typeVersion":1},{"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4o","cachedResultName":"gpt-4o"},"options":{}},"id":"f8f13a82-3e9c-499b-be78-3452afe6f95d","name":"OpenAI Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[688,1008],"typeVersion":1.2,"credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}}},{"parameters":{"promptType":"define","text":"={{ $json.text }}","options":{"systemMessage":"=#Role \nYou are a research agent. You are very good at analyzing a research article and obtaining the best detail from it. You are a research expert who is providing data to another researcher. You are well versed in the scientific method. You will be provided data from a pdf {{ $json.text }}. You are to analyze this text and provide a thorough summary of it.\n\nProvide your summary in the format of:\nTitle\n\nIntroduction:\n-What is the importance of this study.\n-What are the specific aims of this study.\n-What questions are they trying to answer.\n-What studies have been done in the past in regards to this topic.\n\nMethods:\n-Go into detail about their methods.\n-What type of study is this.\n-How many subjects were included in the study.\n-How was their study designed.\n-What parameters or variables were they measuring. \n -This is the most important part of this group. In the methods section of each paper they will define what the measurable outcomes of the study were. Sometimes they will have primary and secondary outcomes. You should include all of these.\n-What was their inclusion and exclusion criteria.\n\nResults:\n-This should be comprehensive.\n-It should give the results for every variable or measurable outcome tested.\n-specific numbers with statistical significance should be given.\n\nSummary:\n-You should provide the specific conclusions they came to from their results.\n-Provide how their results compare to other studies mentioned in their paper. In the summary section of the paper they often reference how their results compare to other studies. You should provide this in your summary.\n-Provide what their recommendations are based off the results.\n\nConclusion:\nProvide any weaknesses of the paper.\nProvide all examples of future studies they recommend be performed.\n\n\n\n#additional information\nIntroduction, methods, results, summary, and conclusion should all be new paragraphs. Your information should read smoothly and make sense. you can utilize bullet points or - if you would like for the individual points within the paragraphs. "}},"id":"2e7d1420-f084-475c-af42-42daa116e957","name":"Summarizer","type":"@n8n/n8n-nodes-langchain.agent","position":[720,848],"typeVersion":1.7},{"parameters":{"jsCode":"return items.map(item => {\n const originalPath = $input.first().json.path\n const convertedPath = originalPath.replace(/\\\\/g, '/');\n return {\n json: {\n ...item.json,\n convertedPath\n }\n };\n});"},"id":"c863e689-50ed-402e-8275-9ff840fbf66c","name":"Converter","type":"n8n-nodes-base.code","position":[128,848],"typeVersion":2},{"parameters":{"fileSelector":"={{ $json.convertedPath }}","options":{}},"id":"bc896b07-1c76-4850-8adf-6c15d94774c7","name":"PDF Finder","type":"n8n-nodes-base.readWriteFile","position":[320,848],"typeVersion":1,"alwaysOutputData":true},{"parameters":{"operation":"pdf","options":{}},"id":"1e31�1���iP7=)����H�z1�ND USAGE RULES\nGetMetaData(id) → { placeholders\\[], conditionals\\[] }\nDocProcess(user_choice_name, user_choice_id, data{}) → \n\n(Call a tool by replying ONLY with\n{\"tool\":\"ToolName\",\"params\":{...}} )\n\n\n#FLOW\nstep-1 Determine which document in the templateCatalog the user wants to create.\nstep-2 Call GetMetaData with the identified id. \n → You get back:\n • metadata.placeholders (global/static placeholders)\n • metadata.conditionals[] (each has flag, label, help, placeholders[])\n\nstep-3 Request the necessary information from the user:\n a) For each name in metadata.placeholders, ask “What is ? ”\n b) For each item in metadata.conditionals:\n i. Ask “Would you like to include the section? ”\n ii. Record in blocks[KEY].include = true/false\n iii. If include===true, then for each p in placeholders[] ask “What is

? ”\n → Build up a `data` object:\n {\n /* static values from 3a */,\n blocks: {\n KEY1: { include: true, P1: val1, P2: val2… },\n KEY2: { include: false },\n …\n }\n }\n\nstep-4 After collecting all the required information, submit the information provided by the user to the user for approval as a whole.\nstep-5 Using the `docId` and that `data` object, call the DocProcess (FillDocument) tool.\n\nstep-6 If there are no errors, return the new document’s download URL (or ID) to the user indicating success.\n\n\n#STYLE\n• Speak concise, formal Turkish.\n• Never guess data; always ask.\n• Only tool-call messages may contain JSON blocks.\n\n#RULES\nWhen calling DocProcess, DO NOT CHANGE/TRANSLATE the placeholder names and conditional flag names/structure returned by GetMetaData. Only place the answers you obtained from the user next to them.\n"}},"id":"790f5da3-f409-4ba9-b2bd-d64c42d411b0","name":"DocAgent","type":"@n8n/n8n-nodes-langchain.agent","position":[2240,48],"retryOnFail":true,"typeVersion":2},{"parameters":{"description":"Call this tool for Doc Process","workflowId":{"__rl":true,"mode":"id","value":""},"workflowInputs":{"value":{"data":"={{ $fromAI('data') }}","user_choice_id":"={{ $fromAI('user_choice_id') }}","user_choice_name":"={{ $fromAI('user_choice_name') }}"},"schema":[{"id":"user_choice_name","type":"string","display":true,"removed":false,"required":false,"displayName":"user_choice_name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"user_choice_id","type":"string","display":true,"removed":false,"required":false,"displayName":"user_choice_id","defaultMatch":false,"canBeUsedToMatch":true},{"id":"data","type":"object","display":true,"removed":false,"required":false,"displayName":"data","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":[],"attemptToConvertTypes":false,"convertFieldsToString":false}},"id":"d319a278-13ab-47ec-87d4-a071b0049bb8","name":"DocProcess","type":"@n8n/n8n-nodes-langchain.toolWorkflow","position":[2608,368],"typeVersion":2.2},{"parameters":{},"id":"0f080336-4bae-4947-82f6-9b0597e4180c","name":"Postgres Chat Memory","type":"@n8n/n8n-nodes-langchain.memoryPostgresChat","position":[2208,368],"typeVersion":1.3},{"parameters":{"url":"https://www.googleapis.com/drive/v3/files?q='%3CYOUR_PARENT_ID%3E'+in+parents+and+trashed=false&fields=files(id,name,description)&pageSize=1000","authentication":"predefinedCredentialType","nodeCredentialType":"googleDriveOAuth2Api","sendHeaders":true,"headerParameters":{"parameters":[{"name":"Accept","value":"application/json"}]},"options":{}},"id":"2722fd52-bb6a-4c27-b60a-566fbcff2a15","name":"Template List","type":"n8n-nodes-base.httpRequest","position":[1504,512],"typeVersion":4.2,"credentials":{"googleDriveOAuth2Api":{"id":"ReA6Hzgc9YZ609x1","name":"Google Drive account 2"}}},{"parameters":{"content":"## Manual Template List Retrieval\n**The response retu1���iP7=c��d�#z�1�rned from this API request is manually added to the system prompt.\n\n","height":360,"width":260,"color":4},"id":"7f1c9723-a063-47b5-9e20-0fc22c9bb6ed","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[1440,320],"typeVersion":1},{"parameters":{"content":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n**It is preferred for more consistent memory management. Other alternatives can also be tried.","height":320,"width":180},"id":"98252d5d-69aa-492f-b09b-91620d6d90ae","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[2160,320],"typeVersion":1},{"parameters":{"content":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n**Metadata of the template selected by the user is dynamically retrieved.","height":320,"width":180},"id":"1887014a-8957-4cf1-a0b2-40958ffc55a7","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[2384,320],"typeVersion":1},{"parameters":{"content":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n**Prioritized due to free API-Key trial.","height":320,"width":212},"id":"dd98f454-7af0-4865-b5a4-b2a7c0ed7556","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[1920,320],"typeVersion":1},{"parameters":{"content":"## Description \n\n## 1 — What Does It Do / Which Problem Does It Solve?\n\nThis workflow turns Google Docs-based contract & form templates into **ready-to-sign PDFs in minutes**—all from a single chat flow.\n\n- **Automates repetitive document creation.** Instead of copying a rental, sales, or NDA template and filling it by hand every time, the bot asks for the required values and fills them in.\n- **Eliminates human error.** It lists every mandatory field so nothing is missed, and removes unnecessary clauses via conditional blocks.\n- **Speeds up approvals.** The final draft arrives as a direct PDF link—one click to send for signing.\n- **One template → unlimited variations.** Every new template you drop in Drive is auto-listed with **zero workflow edits—**it scales effortlessly.\n- **100 % no-code.** Runs on n8n + Google Apps Script—no extra backend, self-hosted or cloud.\n\n---\n\n## 2 — How It Works (Detailed Flow)\n\n1. 📝 **Template Discovery**\n \n 📂 The **TemplateList** node scans the Drive folder you specify via the `?mode=meta` endpoint and returns an `id / title / desc` list. The bot shows this list in chat.\n \n2. 🎯 **Selection & Metadata Fetch**\n \n The user types a template name.\n \n 🔍 **GetMetaData** opens the chosen Doc, extracts `META_JSON`, placeholders, and conditional blocks, then lists mandatory & optional fields.\n \n3. 🗣 **Data-Collection Loop**\n - The bot asks for every **placeholder** value.\n - For each **conditional block** it asks 🟢 **Yes** / 🔴 **No**.\n \n Answers are accumulated in a `data` JSON object.\n \n4. ✅ **Final Confirmation**\n \n The bot summarizes the inputs → when the user clicks **Confirm**, the *DocProcess* sub-workflow starts.\n \n5. ⚙️ **DocProcess Sub-Workflow**\n \n \n | 🔧 Step | Node | Task |\n | --- | --- | --- |\n | 1 | **User Choice Match Check** | Verifies name–ID match; throws if wrong |\n | 2 | **GetMetaData (renew)** | Gets the latest placeholder list |\n | 3 | **Validate JSON Format** | Checks for missing / unknown fields |\n | 4 | **CopyTemplate** | Copies the Doc via Drive API |\n | 5 | **FillDocument** | Apps Script fills placeholders & removes blocks |\n | 6 | **Generate PDF Link** | Builds an `export?format=pdf` URL |\n6. 📎 **Delivery**\n \n The master agent sends **🔗 Download PDF** & **✏️ Open Google Doc** links.\n \n7. 🚫 **Error Paths**\n - `status:\"ERROR\", missing:[…]` → bot lists missing fields and re-asks.\n - `unknown:[…]` → template list is outdated; rerun *TemplateList*.\n - Any Apps Script error → the returned `message` is shown verbatim in chat.\n\n---\n\n## 3 — 🚀 Setup Steps (Full Checklist)\n\n> Goal: Get a flawless PDF on the first run.\n> \n> \n> Mentally **tick** the ☑️ in front of every line as you go.\n> \n\n### ☁️ 1���iP7=��M�5Uq�1�A. Google Drive Preparation\n\n| Step | Do This | Watch Out For |\n| --- | --- | --- |\n| 1 | Create a `Templates/` folder → put every template Doc inside | Exactly **one** folder; **no** sub-folders |\n| 2 | Placeholders in every Doc are **`{{UPPER_CASE}}`** | No Turkish chars or spaces |\n| 3 | Wrap optional clauses with **`[[BLOCK_NAME:START]]…[[BLOCK_NAME:END]]`** | The `START` tag must have a **blank line above** |\n| 4 | Add a `META_JSON` block at the very end | Script deletes it automatically after fill |\n| 5 | Right-click Doc > **Details ▸ Description** = 1-line human description | Shown by the bot in the list |\n| 6 | Create a second `Generated/` folder (for copies) | Keeps Drive tidy |\n\n> 🔑 Folder ID (long alphanumerical) = \n> \n> \n> We’ll paste this into the TemplateList node next.\n> \n\n[Simple sample template → Template Link](https://www.notion.so/Simple-sample-template-Template-Link-22b3f8a1e57f8070beacd034ba6f557f?pvs=21)\n\n---\n\n### 🛠 B. Import the Workflow into n8n\n\n```bash\nSettings ▸ Import Workflow ▸ DocAgent.json\n\n```\n\nIf nodes look **Broken** afterwards → no community-node problem; you only need to select credentials.\n\n---\n\n### 📑 C. Customize the TemplateList Node\n\n1. Open **Template List** node ⚙️ → replace\n \n `'%3CYOUR_PARENT_ID%3E' in parents`\n \n with the real **folder ID** in the **URL**.\n \n2. Right-click node > **Execute Node**.\n3. Copy the entire JSON response.\n4. In the editor paste it into:\n - **DocAgent** → *System Prompt* (top)\n - **User Choice Match Check** → *System Prompt* (top)\n \n Save.\n \n\n> ⚠️ Why manual? Caching the list saves LLM tokens. Whenever you add a template, rerun the node and update the prompts.\n> \n\n---\n\n### 🔗 D. Deploy the Apps Script\n\n| Step | Screen | Note |\n| --- | --- | --- |\n| 1 | Open Gist files **GetMetaData.gs** + **FillDocument.gs** → *File ▸ Make a copy* | Both files may live in one project |\n| 2 | *Project Settings* > enable **Google Docs API** ✔️ & **Google Drive API** ✔️ | Otherwise you’ll see 403 errors |\n| 3 | *Deploy ▸ New deployment ▸ Web app* | |\n| • Execute as | **Me** | |\n| • Who has access | **Anyone** | |\n| 4 | On the consent screen allow scopes:• `…/auth/documents`• `…/auth/drive` | Click **Advanced › Go** if Google warns |\n| 5 | Copy the **Web App URL** (e.g. `https://script.google.com/macros/s/ABC123/exec`) | If this URL changes, update n8n |\n\n[Apps Script source code → Notion Link](https://www.notion.so/Apps-Script-source-code-Notion-Link-22b3f8a1e57f8015a280d90de16c031f?pvs=21)\n\n---\n\n### 🔧 E. Wire the Script URL in n8n\n\n| Node | Field | Action |\n| --- | --- | --- |\n| **GetMetaData** | *URL* | `?mode=meta&id={{ $json[\"id\"] }}` |\n| **FillDocument** | *URL* | `` |\n\n> 💡 Prefer using an .env file? Add GAS_WEBAPP_URL=… and reference it as {{ $env.GAS_WEBAPP_URL }}.\n> \n\n---\n\n### 🔐 F. Add Credentials\n\n- **Google Drive OAuth2** → *Drive API (v3) Full Access*\n- **Google Docs OAuth2** → same account\n- **LLM key** (OpenAI / Gemini)\n- (Optional) **Postgres Chat Memory** credential for the corresponding node\n\n---\n\n### 🧪 G. First Run (Smoke Test)\n\n1. Switch the workflow **Active**.\n2. In the chat panel type `/start`.\n3. Bot lists templates → pick one.\n4. Fill mandatory fields, optionally toggle blocks → **Confirm**.\n5. **🔗 Download PDF** link appears → ☑️ setup complete.\n\n---\n\n### ❌ H. Common Errors & Fixes\n\n| 🆘 Error | Likely Cause | Remedy |\n| --- | --- | --- |\n| `403: Apps Script permission denied` | Web app access set to *User* | Redeploy as **Anyone**, re-authorize scopes |\n| `placeholder validation failed` | Missing required field | Provide the listed values → rerun DocProcess |\n| `unknown placeholders: …` | Template vs. agent mismatch | Check placeholder spelling (UPPER_CASE ASCII) |\n| `Template ID not found` | Prompt list is old | Rerun **TemplateList*1���iP7=�q�:�&�1�* → update both prompts |\n| `Cannot find META_JSON` | No meta block / wrong tag | Add `[[META_JSON_START]] … [[META_JSON_END]]`, retry |\n\n---\n\n### ✅ Final Checklist\n\n- [ ] Drive folder structure & template rules ready\n- [ ] Workflow imported, folder ID set in node\n- [ ] TemplateList output pasted into both prompts\n- [ ] Apps Script deployed, URL set in nodes\n- [ ] OAuth credentials & LLM key configured\n- [ ] `/start` test passes, PDF link received\n\n---\n\n## 🙋‍♂️ Need Help with Customizations?\n\nReach out for consulting & support on LinkedIn: [**Özgür Karateke**](https://www.linkedin.com/in/%C3%B6zg%C3%BCr-karateke-130514147/)\n\n[Simple sample template → Template Link](https://www.notion.so/Simple-sample-template-Template-Link-22b3f8a1e57f8070beacd034ba6f557f?pvs=21)\n\n[Apps Script source code → Notion Link](https://www.notion.so/Apps-Script-source-code-Notion-Link-22b3f8a1e57f8015a280d90de16c031f?pvs=21)","height":4140,"width":1280,"color":6},"id":"f291bfde-7ad4-41f8-884a-1cc3c31b0ee4","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[0,0],"typeVersion":1},{"parameters":{"content":"## DocProcess (Subworkflow)","height":1040,"width":3640,"color":4},"id":"8726af35-23de-4ec0-919e-9288ff08fd22","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[1904,720],"typeVersion":1},{"parameters":{"workflowInputs":{"values":[{"name":"user_choice_name"},{"name":"user_choice_id"},{"name":"data","type":"object"}]}},"id":"afcddffa-81ae-4947-988f-f09587f13813","name":"When Executed by Another Workflow","type":"n8n-nodes-base.executeWorkflowTrigger","position":[2080,1088],"typeVersion":1.1},{"parameters":{"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"a78bfdab-11cc-4ef1-8074-1fdcd6f14275","operator":{"type":"boolean","operation":"true","singleValue":true},"leftValue":"={{ $json.output.eslesme }}","rightValue":"true"}]},"options":{}},"id":"bb84e9ba-13cf-4a9b-8ae4-7e9b2b5554d7","name":"If","type":"n8n-nodes-base.if","position":[2672,1088],"typeVersion":2.2},{"parameters":{"modelName":"models/gemini-2.5-pro","options":{}},"id":"9bc070f4-8319-40a4-a8f7-54efd9302601","name":"Google Gemini Chat 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DO NOT change the placeholder and conditional flag texts in the metadata.\n\n\n{{ $json.metadata.toJsonString() }}\n\n\n\n\n{{ $('When Executed by Another Workflow').item.json.data.toJsonString() }}\n\n\nFormat example of the output you should give:\n\n{\n\"docId\": \"\",\n\"data\": {\n// — Static (mandatory) placeholders —\n\"SELLER_NAME\": \"Özgür Mözgür\",\n\"BUYER_NAME\": \"Ali Veli\",\n\"PRODUCT_NAME\": \"Computer\",\n\"PRICE\": \"10000\",\n\"DELIVER_DATE\": \"12.06.2025\",\n\"TODAY_DATE\": \"02.07.2025\",\n\n// — Conditional blocks in the “blocks” object —\n\"blocks\": {\n\"MADATE_INSTALLMENT\": {\n\"include\": false\n// INSTALLMENT_PLAN is not sent because include:false\n},\n\"GUARANTEE\": {\n\"include\": true,\n\"GUARANTEE_PERIOD\": \"24\"\n}\n}\n}\n}","hasOutputParser":true,"batching":{}},"id":"cc459f11-4eb3-4f32-8171-f79d6621c4e4","name":"Format Control","type":"@n8n/n8n-nodes-langchain.chainLlm","position":[3552,992],"typeVersion":1.7},{"parameters":{"jsCode":"// 1) We get the raw text with $input.first() (direct JS instead of Expression)\n// $input provides access to each item as n8n's global variable.\nconst raw = $input.first().json.text;\n\n// 2) Regex to catch ```json … ``` block\nconst match = raw.match(/```json\\s*([\\s\\S]*?)```/i);\n\n// 3) Extract block or use full text\nconst jsonString = match ? match[1] : raw;\n\n// 4) Trim + parse\nconst clean = jsonString.trim();\nlet parsed;\ntry {\n parsed = JSON.parse(clean);\n} catch (e) {\n throw new Error(`JSON parse hatası: ${e.message}\\n\\nRaw içerik:\\n${clean}`);\n}\n\n// 5) Return a single item output\nreturn [{ json: parsed }];\n"},"id":"179f9ee7-681e-48a9-b0ae-70eaf474d7b7","name":"Formatting Correction","type":"n8n-nodes-base.code","position":[3904,992],"typeVersion":2},{"parameters":{"assignments":{"assignments":[{"id":"4dec2470-f7cb-4b0a-92a8-31cf88581921","name":"Belge oluşturulamama sebebi:","type":"string","value":"=The document id to be filled with the copied document does not match"}]},"options":{}},"id":"3bffee4d-3845-4be5-b7c9-e090e2f921f4","name":"Cop. 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{\n \"text\": \"{{$json.output}}\"\n }\n}\n","options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[-3232,-2128],"id":"69112241-7e57-40fd-9f73-adddd3dd88aa","name":"send text"},{"parameters":{"method":"POST","url":"https://graph.facebook.com/v23.0/me/messages","sendQuery":true,"queryParameters":{"parameters":[{"name":"access_token","value":"EAFdlHQU1mDsBPen2Nhg6WXiVvLZAxCXDSV9K8PqCSdbw9w35JFRoa0x74iUy6C7EIZBEDuTEfdWhldmSdbPNksZAi7VxwdRZCyENeX0ZCzI8PDU9ERxOnZBJYYZA4njZCZCVx8dIrmqkjojpyeAlQpUjLO2PXTZAw7W4NKTE34ZAieVYUxY6IypZAje0ATPU9GUxeO3phWueCQZDZD"}]},1���iP7=���J��<-1�:"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[-4048,-1040],"id":"03f2dd4c-5876-4c98-b47c-361fd8805490","name":"Mark as unread","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"reply","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') 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Include:\n\n- **Column 1:** Current date \n- **Column 2:** Post topic \n- **Column 3:** Post content (plain text) \n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[-4080,-1792],"id":"88b82b8f-b968-4511-8516-f5911d3489ce","name":"Social Media Agent"},{"parameters":{"content":"# Calender Agent\n\n\n","height":496,"width":880,"color":7},"type":"n8n-nodes-base.stickyNote","position":[-3584,-1376],"typeVersion":1,"id":"125112f1-e704-4c95-b593-f62d6c3ec45b","name":"Sticky Note10"},{"parameters":{"content":"# Social Media - Twitter\n\n\n","height":336,"width":736,"color":7},"type":"n8n-nodes-base.stickyNote","position":[-4336,-1856],"typeVersion":1,"id":"fb84bd15-5e38-42d7-a215-741718b4b1a4","name":"Sticky Note11"},{"parameters":{"additionalFields":{}},"type":"n8n-nodes-base.twitterTool","typeVersion":2,"position":[-4096,-1648],"id":"fbdee58a-4421-4d96-8373-a0b78b953032","name":"Create Tweet in X"},{"parameters":{"operation":"appendOrUpdate","documentId":{"__rl":true,"value":"1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU","mode":"list","cachedResultName":"X-Posts","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit?usp=drivesdk"},"sheetName":{"__rl":true,"value":"gid=0","mode":"list","cachedResultName":"Sheet1","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit#gid=0"},"columns":{"mappingMode":"defineBelow","value":{"Date ":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Date_', ``, 'string') }}","Theme":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Theme', ``, 'string') }}","Posts":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Posts', ``, 'string') }}"},"matchingColumns":["Date "],"schema":[{"id":"Date ","displayName":"Date ","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true,"removed":false},{"id1���iP7=J6��߅�1�"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[-3248,-1072],"id":"1a694413-3cc5-453b-842b-9bb5b9a238d3","name":"Delete an event","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"get","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[-3120,-1072],"id":"3e174674-aac5-4612-8da1-ee8dd9d0f2bd","name":"Get an event","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"getAll","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"returnAll":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}","timeMin":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('After', ``, 'string') }}","timeMax":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Before', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[-2976,-1072],"id":"fcfb7042-21d9-413a-9bc7-b4afd1732f70","name":"Get Many Events","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"update","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","updateFields":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[-2832,-1072],"id":"f656100f-1973-429b-bce7-c6e722c26046","name":"Update Events"},{"parameters":{"sendTo":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}","subject":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}","emailType":"text","message":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}","options":{"appendAttribution":false}},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[-4656,-1040],"id":"9941796f-7849-4120-ba7f-c84130b5b4ff","name":"Send a message","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"getAll","returnAll":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}","simple":false,"filters":{},"options":{}},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[-4368,-1040],"id":"c825aaa3-845f-43b0-b681-6fdcbb0dac69","name":"Get many e-mails","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"delete","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}"},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[-4512,-1040],"id":"76c40dfd-3fd2-4683-b190-c562f2b9ef64","name":"Delete an e-mail","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"markAsRead","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}"},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[-4208,-1040],"id":"a68bef86-c5da-422d-884e-e3b67bde31e1","name":"Mark as read","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"markAsUnread","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}"},"type"1���iP7=tqE��D�1�oolThink","typeVersion":1.1,"position":[-3808,-1984],"id":"1c379add-a69e-4c16-93db-92142617d4ab","name":"Think"},{"parameters":{"toolDescription":"Call this tool to search the web.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"## Overview\nYou are the Web Search Agent. Your job is to search the web and retrieve reliable information from news, Wikipedia, or Google Search when requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Get an article in Hacker News: Use to fetch recent Hacker News articles\n- Wikipedia: Use to retrieve encyclopedic and factual information\n- Google Search (SerpApi): Use for general web searches across the internet\n\n## Rules\n- Always choose the most relevant tool for the query\n- Return concise, clear, and factual responses\n- Summarize results instead of dumping raw data\n- Cite the source of information (e.g., \"According to Wikipedia...\")\n\n## Instructions\n1) Interpret the user’s query\n2) Select the best tool (Hacker News, Wikipedia, Google Search)\n3) Retrieve and summarize the answer\n4) Return only the relevant response in plain text\n\n## Examples\n1)\nInput: \"What’s the latest AI news?\"\n- Action: Use Hacker News tool to get recent articles\n- Output: \"Latest on Hacker News: OpenAI released a new API feature...\"\n\n2)\nInput: \"Who invented the telephone?\"\n- Action: Use Wikipedia tool\n- Output: \"According to Wikipedia, Alexander Graham Bell is credited with inventing the telephone in 1876.\"\n\n3)\nInput: \"Best restaurants in New York 2025\"\n- Action: Use Google Search (SerpApi)\n- Output: \"Top-rated restaurants in New York (2025): Le Bernardin, Eleven Madison Park, Atomix.\"\n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[-5408,-1264],"id":"5d3a8f66-772a-4d6c-a3fa-049d78096a7c","name":"Search Agent","notesInFlow":false},{"parameters":{"content":"# Orchestrator Agent\n\n","height":368,"width":736,"color":5},"type":"n8n-nodes-base.stickyNote","position":[-4336,-2240],"typeVersion":1,"id":"cdd78443-3095-4e9f-8793-13805e31c8a6","name":"Sticky Note7"},{"parameters":{"options":{}},"type":"@n8n/n8n-nodes-langchain.toolSerpApi","typeVersion":1,"position":[-5072,-1040],"id":"1b91ba62-74e1-4785-8eb4-d0363cfd99e2","name":"Google Search","credentials":{"serpApi":{"id":"KVyJYa7fBU7tTN4U","name":"SerpAPI account"}}},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.toolWikipedia","typeVersion":1,"position":[-5216,-1040],"id":"803762df-f6bb-4a3a-a7e0-7a1f04375807","name":"Wikipedia"},{"parameters":{"articleId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}","additionalFields":{}},"type":"n8n-nodes-base.hackerNewsTool","typeVersion":1,"position":[-5360,-1040],"id":"adcf7617-17d7-4cbf-9ada-f0ecac175ad5","name":"Get an article in Hacker News"},{"parameters":{"content":"# Web Search Agent\n\n","height":496,"width":1040,"color":7},"type":"n8n-nodes-base.stickyNote","position":[-5888,-1376],"typeVersion":1,"id":"f6d7b4c7-a0ff-41b1-9799-81ef2df06d23","name":"Sticky Note8"},{"parameters":{"calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"start":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}","end":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}","useDefaultReminders":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}","additionalFields":{"attendees":[],"description":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}","summary":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}"}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[-3408,-1072],"id":"88941143-170a-4789-aafc-3ff749a8e0dd","name":"Create an event","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"delete","calendar":{"__rl":true,1���iP7=�L�o��W�1�:{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[-4592,-2000],"id":"609ede94-ecfc-42b7-9113-7e96eae262f4","name":"Voice"},{"parameters":{"url":"={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}","options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[-4976,-2000],"id":"90fd5680-a7ef-4045-bb84-0463b187e6b1","name":"Download Audio"},{"parameters":{"conditions":{"options":{"caseSensitive":true,"leftValue":"","typeValidation":"strict","version":2},"conditions":[{"id":"bbb5a4b6-7c2c-4af6-a584-e6352fd0068f","leftValue":"={{ $('Webhook').item.json.body.entry[0].messaging[0].message.text }}","rightValue":"","operator":{"type":"string","operation":"exists","singleValue":true}}],"combinator":"and"},"options":{}},"type":"n8n-nodes-base.if","typeVersion":2.2,"position":[-3776,-2144],"id":"34f06986-e9ca-41f7-b26d-1a05e875d04d","name":"If"},{"parameters":{"resource":"image","operation":"analyze","modelId":{"__rl":true,"value":"gpt-4o-mini","mode":"list","cachedResultName":"GPT-4O-MINI"},"text":"=What's in this image?","inputType":"base64","options":{}},"type":"@n8n/n8n-nodes-langchain.openAi","typeVersion":1.8,"position":[-4768,-1792],"id":"8c9f9eaf-2b64-4df0-8f74-e4048aa7b70e","name":"Analyze image","credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}}},{"parameters":{"url":"={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}","options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[-4976,-1792],"id":"29cb63b9-bcc1-4458-9de6-2920a4515abd","name":"Download Image"},{"parameters":{"assignments":{"assignments":[{"id":"2f35809b-3889-4ef7-a8d5-a4d934842631","name":"Text","value":"=# The author provided the image and the text \n\n## Image Description\n{{ $json.content }}\n\n\n\n","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[-4576,-1792],"id":"4a4105eb-5808-46f6-866c-6c506042b315","name":"Image + Text"},{"parameters":{"content":"# Text\n","height":176,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[-5152,-2224],"typeVersion":1,"id":"d061f593-94b3-4b1e-8ad3-3ca1526b73d3","name":"Sticky Note"},{"parameters":{"content":"# Voice\n","height":176,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[-5152,-2032],"typeVersion":1,"id":"7ccf193a-c915-4da4-893a-26200a4c10a5","name":"Sticky Note1"},{"parameters":{"content":"# Image\n","height":208,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[-5152,-1840],"typeVersion":1,"id":"001baee1-19b5-4c96-aff2-ee0b491d9562","name":"Sticky Note2","disabled":true},{"parameters":{"content":"# Inputs\n","height":720,"width":1536},"type":"n8n-nodes-base.stickyNote","position":[-5888,-2240],"typeVersion":1,"id":"922b62f1-ad9b-461a-a391-28ee1c4c0547","name":"Sticky Note3"},{"parameters":{"promptType":"define","text":"={{ $json.Text }}","options":{"systemMessage":"=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) D1���iP7=���xb�1�ecide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n"}},"type":"@n8n/n8n-nodes-langchain.agent","typeVersion":2.1,"position":[-4080,-2144],"id":"fe0a1f25-9542-4f71-ab54-23b82b87c2d8","name":"Orchestrator Agent","retryOnFail":false},{"parameters":{"content":"# Voice\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[-3424,-1952],"typeVersion":1,"id":"91d16216-8fb2-48ed-9a3d-e6feddc544ba","name":"Sticky Note4"},{"parameters":{"content":"# Text\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[-3424,-2144],"typeVersion":1,"id":"d4c75c64-8211-4413-8f1c-75b3a53706ea","name":"Sticky Note5"},{"parameters":{"content":"# Output\n","height":704,"width":896},"type":"n8n-nodes-base.stickyNote","position":[-3584,-2240],"typeVersion":1,"id":"457092bb-d32e-4b48-bb5e-0ffcf36cb70b","name":"Sticky Note6"},{"parameters":{"toolDescription":"Call this tool if you want to do something with calendar.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"=## Overview\nYou are the Calendar Agent. Your job is to manage calendar events by creating, updating, retrieving, or deleting them as requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Create an event: Use to add a new calendar event\n- Delete an event: Use to remove an existing event\n- Get an event: Use to fetch details of a specific event\n- Get Many Events: Use to list multiple upcoming or past events\n- Update Events: Use to modify details of an existing event\n\n## Rules\n- Always confirm the date, time, and event details before creating or updating\n- Use Get Many Events before creating to avoid duplicates if unsure\n- Keep responses short and clear for WhatsApp delivery\n- If an event cannot be found, respond politely with a fallback message\n\n## Instructions\n1) Interpret the user’s calendar request\n2) Select the correct tool (create, get, update, delete)\n3) Execute the action and return a human-friendly summary\n4) Always confirm the action back to the user\n\n## Examples\n1)\nInput: \"Add a meeting with Sarah tomorrow at 3 PM\"\n- Action: Use Create an event\n- Output: \"Meeting with Sarah scheduled for tomorrow at 3 PM.\"\n\n2)\nInput: \"What’s on my calendar this week?\"\n- Action: Use Get Many Events\n- Output: \"You have 4 events this week. First: Team Sync, Monday 10 AM.\"\n\n3)\nInput: \"Cancel my dentist appointment on Friday\"\n- Action: Use Delete an event\n- Output: \"Dentist appointment on Friday has been deleted.\"\n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[-3376,-1312],"id":"2911e432-7bbe-493c-8181-ccea0a371bb4","name":"Calendar Agent"},{"parameters":{"toolDescription":"Call this tool if you want to do something with E-mails.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"You are a helpful assistant"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[-4448,-1280],"id":"3491d4c6-6b57-4c98-950b-c191f434c00a","name":"E-Mails Agent1"},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.t1���iP7=ɪ�Y]=Oi
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It uses Bright Data’s network to safely load the actual website and return HTML content. |\n| 🧱 HTML Extract | **Extract Data from Webpage** | Parses the returned HTML to find relevant data like titles, authors, abstracts, and links. |\n| 🔣 Code | **Clean and Format Scraped Data** | A custom code block that organizes the messy data into neat records. For example: title → column A, abstract → column B, etc. |\n\n### 🧠 How it helps:\n\n* Makes web scraping safe and reliable by using proxies.\n* Converts unreadable HTML into structured information.\n* Beginner-friendly: No need to write a parser yourself.\n\n---\n\n","height":700,"width":600,"color":6},"id":"8717cb69-20b4-47a3-b512-1a41733cecd6","name":"Sticky Note1","type":"n8n-nodes-base.st1���iP7=��EoAb/1�ickyNote","position":[-656,80],"typeVersion":1},{"parameters":{"content":"## 🟢 **Section 3: Save to Google Sheets**\n\n**🧩 Node: Append to Google Sheets**\n📍 **Purpose:** Automatically sends the clean data into a Google Sheet for easy access, filtering, or sharing.\n\n| 🧱 Node | ✅ New Name | 💡 Description |\n| ---------------- | ------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- |\n| 📄 Google Sheets | **Store Scraped Data in Spreadsheet** | Takes the structured output and appends it to the connected Google Sheet. Each result gets a row with title, author, abstract, etc. |\n\n### 🧠 How it helps:\n\n* No manual copy-pasting ever again!\n* Shareable and searchable format.\n* Updates automatically as you scrape more topics.\n\n---\n\n","height":780,"width":340,"color":3},"id":"04051f0f-9e80-443e-8d89-beb486a93fdd","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[0,0],"typeVersion":1},{"parameters":{"content":"=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n","height":320,"width":1300,"color":4},"id":"99770c3a-cb0b-4504-90ae-ce7497b9e478","name":"Sticky Note9","type":"n8n-nodes-base.stickyNote","position":[-2976,80],"typeVersion":1},{"parameters":{"content":"## 🌟 Research Paper Scraper to Google Sheets\n\n**Automate extraction of data from any website based on a topic — no coding needed!**\n\n---\n\n## 🔹 **Section 1: User Input & Trigger**\n\n**🧩 Nodes: Start Scraping | Set Topic**\n📍 **Purpose:** Let users easily input the topic they want to scrape — no need to deal with complex URLs.\n\n| 🧱 Node | ✅ New Name | 💡 Description |\n| --------- | ---------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| ⚡ Trigger | **Start Scraping (Manual)** | This node starts the workflow when you click “Execute Workflow.” It's the entry point. |\n| ✏️ Set | **Set Topic (Manual Input)** | Instead of requiring a URL, the user will enter a topic (like \"machine learning\" or \"digital marketing\"). 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Each result gets a row with title, author, abstract, etc. |\n\n### 🧠 How it helps:\n\n* No manual copy-pasting ever again!\n* Shareable and searchable format.\n* Updates automatically as you scrape more topics.\n\n---\n\n## ✅ What a Beginner Gains from This Workflow\n\n| 💡 Feature | 🚀 Benefit |\n| --------------------------- | --------------------------------------------------------------------------------- |\n| Topic-based input | You don’t need to find or understand complex URLs. Just type “AI” or “marketing.” |\n| Fully automated scraping | You don’t need to open browsers or inspect elements. |\n| Ready-to-use Google Sheet | The final data is clean and saved into a sheet you can use anywhere. |\n| Beautiful, modular workflow | Each step is visual, editable, and reusable without coding skills. |\n\n---\n\n## 🎯 Final Result:\n\nYou type a **topic** → Bright Data scrapes the web → It extracts content → Cleans it → Saves it into **Google Sheets**.\nEverything happens automatically. **No code. No hassle. 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authors[i].replace(/\\s*-\\s*.*/, '').trim() : '';\n\n // Abstract fallback\n let abstract = abstracts[i] || '';\n\n // Get PDF link — from either a single object or array of duplicates\n let linkObj = pdfLinks[i];\n let pdfLink = '';\n\n if (Array.isArray(linkObj)) {\n // If multiple objects per item\n pdfLink = linkObj.find(obj => obj.href)?.href || '';\n } else if (linkObj?.href) {\n pdfLink = linkObj.href;\n }\n\n // Push cleaned object\n output.push({\n json: {\n title,\n author,\n abstract,\n pdfLink\n }\n });\n}\n\nreturn output;\n"},"id":"89bfb13c-b73a-4307-ac41-66332efff6eb","name":"Clean & Structure Extracted Data","type":"n8n-nodes-base.code","position":[-208,592],"typeVersion":2},{"parameters":{"operation":"append","documentId":{"__rl":true,"mode":"list","value":"1sOfCFsvHS9-BeE_PQ6J_jtQofCRcOv02XS7hrmFmpxQ","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1sOfCFsvHS9-BeE_PQ6J_jtQofCRcOv02XS7hrmFmpxQ/edit?usp=drivesdk","cachedResultName":"Research papers from Google Scholar"},"sheetName":{"__rl":true,"mode":"list","value":"gid=0","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1sOfCFsvHS9-BeE_PQ6J_jtQofCRcOv02XS7hrmFmpxQ/edit#gid=0","cachedResultName":"Sheet1"},"columns":{"value":{"Topic":"={{ $('Set Research topic').item.json.Topic }}","title":"={{ $json.title }}","author":"={{ $json.author }}","abstract":"={{ $json.abstract }}","pdf link":"={{ $json.pdfLink }}"},"schema":[{"id":"Topic","type":"string","display":true,"required":false,"displayName":"Topic","defaultMatch":false,"canBeUsedToMatch":true},{"id":"title","type":"string","display":true,"required":false,"displayName":"title","defaultMatch":false,"canBeUsedToMatch":true},{"id":"author","type":"string","1�1���iP7={��l!x�1�position":[1072,48],"id":"ba9eb904-be17-4101-bf7b-1696999229ef","name":"Text"},{"parameters":{"assignments":{"assignments":[{"id":"2f35809b-3889-4ef7-a8d5-a4d934842631","name":"Text","value":"={{ $json.text }}","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[1296,240],"id":"07184ef3-fadb-42f9-9ca1-c146c494768a","name":"Voice"},{"parameters":{"url":"={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}","options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[912,240],"id":"d285b8ed-200d-4792-88c4-b9dce19e78ac","name":"Download Audio"},{"parameters":{"conditions":{"options":{"caseSensitive":true,"leftValue":"","typeValidation":"strict","version":2},"conditions":[{"id":"bbb5a4b6-7c2c-4af6-a584-e6352fd0068f","leftValue":"={{ $('Webhook').item.json.body.entry[0].messaging[0].message.text }}","rightValue":"","operator":{"type":"string","operation":"exists","singleValue":true}}],"combinator":"and"},"options":{}},"type":"n8n-nodes-base.if","typeVersion":2.2,"position":[2112,96],"id":"1269f6a6-cf30-47b5-8b05-ace6e0b8d13d","name":"If"},{"parameters":{"resource":"image","operation":"analyze","modelId":{"__rl":true,"value":"gpt-4o-mini","mode":"list","cachedResultName":"GPT-4O-MINI"},"text":"=What's in this image?","inputType":"base64","options":{}},"type":"@n8n/n8n-nodes-langchain.openAi","typeVersion":1.8,"position":[1120,448],"id":"b9e58fbe-9e6d-4ba7-84f4-871ab3750b3e","name":"Analyze image","credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}}},{"parameters":{"url":"={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}","options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[912,448],"id":"f79bb336-dc47-438a-b882-e1c12ad40a54","name":"Download Image"},{"parameters":{"assignments":{"assignments":[{"id":"2f35809b-3889-4ef7-a8d5-a4d934842631","name":"Text","value":"=# The author provided the image and the text \n\n## Image Description\n{{ $json.content }}\n\n\n\n","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[1312,448],"id":"22e78dec-dc82-4226-a0a7-755c953e9234","name":"Image + Text"},{"parameters":{"content":"# Text\n","height":176,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[736,16],"typeVersion":1,"id":"80319b07-f270-404a-be20-e2a1c0dba58e","name":"Sticky Note"},{"parameters":{"content":"# Voice\n","height":176,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[736,208],"typeVersion":1,"id":"ebf50d84-aef3-4301-a5b8-89e2b95a565d","name":"Sticky Note1"},{"parameters":{"content":"# Image\n","height":208,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[736,400],"typeVersion":1,"id":"8cb93b7a-31ac-4bd0-89b6-dcbea787b130","name":"Sticky Note2","disabled":true},{"parameters":{"content":"# Inputs\n","height":720,"width":1536},"type":"n8n-nodes-base.stickyNote","position":[0,0],"typeVersion":1,"id":"2e81cdbc-b1ca-49d2-a946-634352c186fc","name":"Sticky Note3"},{"parameters":{"promptType":"define","text":"={{ $json.Text }}","options":{"systemMessage":"=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of W1���iP7=_D� f`�1�hatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n"}},"type":"@n8n/n8n-nodes-langchain.agent","typeVersion":2.1,"position":[1808,96],"id":"14dec12e-e5d0-4369-a6ed-4f425de5074e","name":"Orchestrator Agent","retryOnFail":false},{"parameters":{"content":"# Voice\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[2464,288],"typeVersion":1,"id":"3cd0c4bd-47e4-46bd-9279-51894f902ab9","name":"Sticky Note4"},{"parameters":{"content":"# Text\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[2464,96],"typeVersion":1,"id":"c032a9af-28de-4027-a851-8daa3b6b41d8","name":"Sticky Note5"},{"parameters":{"content":"# Output\n","height":704,"width":896},"type":"n8n-nodes-base.stickyNote","position":[2304,0],"typeVersion":1,"id":"5d02267b-cb88-4844-ac05-861cd93386dc","name":"Sticky Note6"},{"parameters":{"toolDescription":"Call this tool if you want to do something with calendar.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"=## Overview\nYou are the Calendar Agent. Your job is to manage calendar events by creating, updating, retrieving, or deleting them as requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Create an event: Use to add a new calendar event\n- Delete an event: Use to remove an existing event\n- Get an event: Use to fetch details of a specific event\n- Get Many Events: Use to list multiple upcoming or past events\n- Update Events: Use to modify details of an existing event\n\n## Rules\n- Always confirm the date, time, and event details before creating or updating\n- Use Get Many Events before creating to avoid duplicates if unsure\n- Keep responses short and clear for WhatsApp delivery\n- If an event cannot be found, respond politely with a fallback message\n\n## Instructions\n1) Interpret the user’s calendar request\n2) Select the correct tool (create, get, update, delete)\n3) Execute the action and return a human-friendly summary\n4) Always confirm the action back to the user\n\n## Examples\n1)\nInput: \"Add a meeting with Sarah tomorrow at 3 PM\"\n- Action: Use Create an event\n- Output: \"Meeting with Sarah scheduled for tomorrow at 3 PM.\"\n\n2)\nInput: \"What’s on my calendar this week?\"\n- Action: Use Get Many Events\n- Output: \"You have 4 events this week. First: Team Sync, Monday 10 AM.\"\n\n3)\nInput: \"Cancel my dentist appointment on Friday\"\n- Action: Use Delete an event\n- Output: \"Dentist appointment on Friday has been deleted.\"\n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[2512,928],"id":"f1e23504-2685-458d-8e6c-6fa00fd787aa","name":"Calendar Agent"},{"parameters":{"toolDescription":"Call this tool if you want to do something with E-mails.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"You are a helpful assistant"}},"type":"@n8n/n8n-nodes-langch1���iP7=���Z�^V�1�ain.agentTool","typeVersion":2.2,"position":[1440,960],"id":"2c1ec25d-c474-46d9-8268-bb15f0e83172","name":"E-Mails Agent1"},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.toolThink","typeVersion":1.1,"position":[2080,256],"id":"7a2ff940-1043-4d42-a2d5-540c7cf36603","name":"Think"},{"parameters":{"toolDescription":"Call this tool to search the web.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"## Overview\nYou are the Web Search Agent. Your job is to search the web and retrieve reliable information from news, Wikipedia, or Google Search when requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Get an article in Hacker News: Use to fetch recent Hacker News articles\n- Wikipedia: Use to retrieve encyclopedic and factual information\n- Google Search (SerpApi): Use for general web searches across the internet\n\n## Rules\n- Always choose the most relevant tool for the query\n- Return concise, clear, and factual responses\n- Summarize results instead of dumping raw data\n- Cite the source of information (e.g., \"According to Wikipedia...\")\n\n## Instructions\n1) Interpret the user’s query\n2) Select the best tool (Hacker News, Wikipedia, Google Search)\n3) Retrieve and summarize the answer\n4) Return only the relevant response in plain text\n\n## Examples\n1)\nInput: \"What’s the latest AI news?\"\n- Action: Use Hacker News tool to get recent articles\n- Output: \"Latest on Hacker News: OpenAI released a new API feature...\"\n\n2)\nInput: \"Who invented the telephone?\"\n- Action: Use Wikipedia tool\n- Output: \"According to Wikipedia, Alexander Graham Bell is credited with inventing the telephone in 1876.\"\n\n3)\nInput: \"Best restaurants in New York 2025\"\n- Action: Use Google Search (SerpApi)\n- Output: \"Top-rated restaurants in New York (2025): Le Bernardin, Eleven Madison Park, Atomix.\"\n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[480,976],"id":"9d20d825-5141-4f71-a116-bed3d3fbaa0f","name":"Search Agent","notesInFlow":false},{"parameters":{"content":"# Orchestrator Agent\n\n","height":368,"width":736,"color":5},"type":"n8n-nodes-base.stickyNote","position":[1552,0],"typeVersion":1,"id":"bb96c961-8c12-4fc6-b41a-f2dd8ccf7955","name":"Sticky Note7"},{"parameters":{"options":{}},"type":"@n8n/n8n-nodes-langchain.toolSerpApi","typeVersion":1,"position":[816,1200],"id":"a40a6382-fb51-4bb0-9c2f-119d2bc45aad","name":"Google Search","credentials":{"serpApi":{"id":"KVyJYa7fBU7tTN4U","name":"SerpAPI account"}}},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.toolWikipedia","typeVersion":1,"position":[672,1200],"id":"35514ba8-ef90-420f-9a9c-5677e221cea2","name":"Wikipedia"},{"parameters":{"articleId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}","additionalFields":{}},"type":"n8n-nodes-base.hackerNewsTool","typeVersion":1,"position":[528,1200],"id":"87e2cc28-25dc-4691-a9c3-c92ff0a79190","name":"Get an article in Hacker News"},{"parameters":{"content":"# Web Search Agent\n\n","height":496,"width":1040,"color":7},"type":"n8n-nodes-base.stickyNote","position":[0,864],"typeVersion":1,"id":"3b557a67-758e-4e98-b450-16b6fb73d0aa","name":"Sticky Note8"},{"parameters":{"calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"start":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}","end":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}","useDefaultReminders":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}","additionalFields":{"attendees":[],"description":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}","summary":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}"}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[2480,1168],"id":"95cadf70-1348-4476-9e7d-a2036b454f84","name":"Create an event","credentials":{"1���iP7=DM����ZS1�googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"delete","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[2640,1168],"id":"20c615eb-ac9e-49e3-89c6-68d3ce996177","name":"Delete an event","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"get","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[2768,1168],"id":"ec076b7d-ee14-4ee8-ba54-4f664547525f","name":"Get an event","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"getAll","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"returnAll":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}","timeMin":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('After', ``, 'string') }}","timeMax":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Before', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[2912,1168],"id":"423b88c2-ec32-47af-89d0-b9ba304383ff","name":"Get Many Events","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"update","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","updateFields":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[3056,1168],"id":"934cef67-dd2b-44e1-ad3f-40e0842ff71a","name":"Update Events"},{"parameters":{"sendTo":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}","subject":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}","emailType":"text","message":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}","options":{"appendAttribution":false}},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[1232,1200],"id":"3cd2e4d0-3a29-4480-a1f0-05fc3635e769","name":"Send a message","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"getAll","returnAll":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}","simple":false,"filters":{},"options":{}},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[1520,1200],"id":"b9b5b8e2-5e4d-4938-b55e-0174abb608cc","name":"Get many e-mails","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"delete","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}"},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[1376,1200],"id":"2111ca29-cd43-465c-bd4e-3d292d0b2539","name":"Delete an e-mail","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"markAsRead","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}"},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[1680,1200],"id":"6e78796e-086c-4ad6-8065-1894e874cd3b","name":"Mark as read","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{1���iP7=����Ƥ�1�"operation":"markAsUnread","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}"},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[1840,1200],"id":"6bac88ba-0729-4522-aed7-629969dce947","name":"Mark as unread","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"reply","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}","emailType":"text","message":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[2016,1200],"id":"41672230-8933-401f-8441-95e7ee6aec4e","name":"Reply to e-mail","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"content":"# E-Mail Agent\n\n\n","height":496,"width":1232,"color":7},"type":"n8n-nodes-base.stickyNote","position":[1056,864],"typeVersion":1,"id":"f95b9ae6-e8fa-461a-9a9c-a7917bfa6099","name":"Sticky Note9"},{"parameters":{"toolDescription":"Call this tool if you want to post on x.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"=## Role\nYou are an expert in creating high-quality, engaging, and modern posts for **X (formerly Twitter)**. \nYou receive information and generate posts that are:\n\n- **Concise and informative**, without unnecessary details. \n- **Engaging and dynamic**, designed to capture attention and encourage interaction. \n- **Trending and optimized**, using relevant keywords and hashtags for maximum reach. \n- **Structured for readability**, utilizing short paragraphs, line breaks, and emojis to enhance engagement. \n\n---\n\n## Post Style\nYour posts should primarily focus on **AI topics** and often begin with this format:\n\n👉 *“XYZ just dropped XYZ, and people are already doing crazy stuff with it—10 examples.”* \n\n⚠️ **Important:** When creating a post, always use the **savePost** tool to store it. \n\n---\n\n## Tools\n\n### savePost\nUse this tool to save the post in a **Google Sheets document**. Include:\n\n- **Column 1:** Current date \n- **Column 2:** Post topic \n- **Column 3:** Post content (plain text) \n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[1808,448],"id":"556fa7d7-01a6-4ac0-92b0-cbadb3858d0b","name":"Social Media Agent"},{"parameters":{"content":"# Calender Agent\n\n\n","height":496,"width":880,"color":7},"type":"n8n-nodes-base.stickyNote","position":[2304,864],"typeVersion":1,"id":"1f43a7e8-8d70-4100-91e9-c89ea923ad8a","name":"Sticky Note10"},{"parameters":{"content":"# Social Media - Twitter\n\n\n","height":336,"width":736,"color":7},"type":"n8n-nodes-base.stickyNote","position":[1552,384],"typeVersion":1,"id":"c6baaa04-0f61-4667-924e-9473cb0b1141","name":"Sticky Note11"},{"parameters":{"additionalFields":{}},"type":"n8n-nodes-base.twitterTool","typeVersion":2,"position":[1792,592],"id":"9150645b-9a66-4223-a59b-a42e2412021f","name":"Create Tweet in X"},{"parameters":{"operation":"appendOrUpdate","documentId":{"__rl":true,"value":"1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU","mode":"list","cachedResultName":"X-Posts","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit?usp=drivesdk"},"sheetName":{"__rl":true,"value":"gid=0","mode":"list","cachedResultName":"Sheet1","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit#gid=0"},"columns":{"mappingMode":"defineBelow","value":{"Date ":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Date_', ``, 'string') }}","Theme":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Theme', ``, 'string') }}","Posts":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Posts', ``, 'string') }}"},"matchingColumns":["Date "],"schema":[{"id":"Date ","displayName":"Date 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}}","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[-4816,-2192],"id":"59f139f5-812f-4134-b36c-18f84b622c4d","name":"Text"},{"parameters":{"assignments":{"assignments":[{"id":"2f35809b-3889-4ef7-a8d5-a4d934842631","name":"Text","value":"={{ $json.text }}","type":"string"}]},"options"1�1���iP7=�W�����1�b-3889-4ef7-a8d5-a4d934842631","name":"Text","value":"={{ $json.text }}","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[-1376,-720],"id":"18a4652d-ec79-493e-a5c8-14d24cae7843","name":"Voice"},{"parameters":{"url":"={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}","options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[-1760,-720],"id":"122fc2aa-11a2-452b-9b3d-f3c2e4c58f89","name":"Download 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$json.body.entry[0].messaging[0].message.attachments[0].payload.url }}","options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[-1760,-512],"id":"9433acf8-a768-413d-9c98-d1fb73a4cd20","name":"Download Image"},{"parameters":{"assignments":{"assignments":[{"id":"2f35809b-3889-4ef7-a8d5-a4d934842631","name":"Text","value":"=# The author provided the image and the text \n\n## Image Description\n{{ $json.content }}\n\n\n\n","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[-1360,-512],"id":"82b621b9-1b09-4214-bf46-1b8b037080d2","name":"Image + Text"},{"parameters":{"content":"# Text\n","height":176,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[-1936,-944],"typeVersion":1,"id":"6019b984-7216-46c3-a9f2-b834f34c9e73","name":"Sticky Note"},{"parameters":{"content":"# Voice\n","height":176,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[-1936,-752],"typeVersion":1,"id":"64877fc6-206c-4337-97f4-092f9f68bfed","name":"Sticky Note1"},{"parameters":{"content":"# Image\n","height":208,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[-1936,-560],"typeVersion":1,"id":"0cf1c652-a8ad-4dd7-8a8c-892481a5f959","name":"Sticky Note2","disabled":true},{"parameters":{"content":"# Inputs\n","height":720,"width":1536},"type":"n8n-nodes-base.stickyNote","position":[-2672,-960],"typeVersion":1,"id":"30f35a9b-975e-46bd-a10c-35ceb7699c09","name":"Sticky Note3"},{"parameters":{"promptType":"define","text":"={{ $json.Text }}","options":{"systemMessage":"=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instruc1���iP7=K����&L1�tions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n"}},"type":"@n8n/n8n-nodes-langchain.agent","typeVersion":2.1,"position":[-864,-864],"id":"00ac7e0f-2d75-4e4b-a59a-eaf564c5ce32","name":"Orchestrator Agent","retryOnFail":false},{"parameters":{"content":"# Voice\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[-208,-672],"typeVersion":1,"id":"d9cacdcd-473a-4a65-910a-6918f12a849b","name":"Sticky Note4"},{"parameters":{"content":"# Text\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[-208,-864],"typeVersion":1,"id":"6cfc752d-5102-40ae-9595-c3ae41e7aa8c","name":"Sticky Note5"},{"parameters":{"content":"# Output\n","height":704,"width":896},"type":"n8n-nodes-base.stickyNote","position":[-368,-960],"typeVersion":1,"id":"6ddbdb07-e2db-4869-ad74-e444d3224389","name":"Sticky Note6"},{"parameters":{"toolDescription":"Call this tool if you want to do something with calendar.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"=## Overview\nYou are the Calendar Agent. Your job is to manage calendar events by creating, updating, retrieving, or deleting them as requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Create an event: Use to add a new calendar event\n- Delete an event: Use to remove an existing event\n- Get an event: Use to fetch details of a specific event\n- Get Many Events: Use to list multiple upcoming or past events\n- Update Events: Use to modify details of an existing event\n\n## Rules\n- Always confirm the date, time, and event details before creating or updating\n- Use Get Many Events before creating to avoid duplicates if unsure\n- Keep responses short and clear for WhatsApp delivery\n- If an event cannot be found, respond politely with a fallback message\n\n## Instructions\n1) Interpret the user’s calendar request\n2) Select the correct tool (create, get, update, delete)\n3) Execute the action and return a human-friendly summary\n4) Always confirm the action back to the user\n\n## Examples\n1)\nInput: \"Add a meeting with Sarah tomorrow at 3 PM\"\n- Action: Use Create an event\n- Output: \"Meeting with Sarah scheduled for tomorrow at 3 PM.\"\n\n2)\nInput: \"What’s on my calendar this week?\"\n- Action: Use Get Many Events\n- Output: \"You have 4 events this week. First: Team Sync, Monday 10 AM.\"\n\n3)\nInput: \"Cancel my dentist appointment on Friday\"\n- Action: Use Delete an event\n- Output: \"Dentist appointment on Friday has been deleted.\"\n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[-160,-32],"id":"8c9f4fb0-f4a6-404e-904d-b61f4409c493","name":"Calendar Agent"},{"parameters":{"toolDescription":"Call this tool if you want to do something with E-mails.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"You are a helpful assistant"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[-1232,0],"id":"95a0a407-3f69-4a9b-8539-6326839166b8","1���iP7=:� ~��1�name":"E-Mails Agent1"},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.toolThink","typeVersion":1.1,"position":[-592,-704],"id":"c1473755-3684-4023-adc9-266d288c8b60","name":"Think"},{"parameters":{"toolDescription":"Call this tool to search the web.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"## Overview\nYou are the Web Search Agent. Your job is to search the web and retrieve reliable information from news, Wikipedia, or Google Search when requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Get an article in Hacker News: Use to fetch recent Hacker News articles\n- Wikipedia: Use to retrieve encyclopedic and factual information\n- Google Search (SerpApi): Use for general web searches across the internet\n\n## Rules\n- Always choose the most relevant tool for the query\n- Return concise, clear, and factual responses\n- Summarize results instead of dumping raw data\n- Cite the source of information (e.g., \"According to Wikipedia...\")\n\n## Instructions\n1) Interpret the user’s query\n2) Select the best tool (Hacker News, Wikipedia, Google Search)\n3) Retrieve and summarize the answer\n4) Return only the relevant response in plain text\n\n## Examples\n1)\nInput: \"What’s the latest AI news?\"\n- Action: Use Hacker News tool to get recent articles\n- Output: \"Latest on Hacker News: OpenAI released a new API feature...\"\n\n2)\nInput: \"Who invented the telephone?\"\n- Action: Use Wikipedia tool\n- Output: \"According to Wikipedia, Alexander Graham Bell is credited with inventing the telephone in 1876.\"\n\n3)\nInput: \"Best restaurants in New York 2025\"\n- Action: Use Google Search (SerpApi)\n- Output: \"Top-rated restaurants in New York (2025): Le Bernardin, Eleven Madison Park, Atomix.\"\n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[-2192,16],"id":"f32fb3fb-bd83-4fc7-b72c-dac844ed493c","name":"Search Agent","notesInFlow":false},{"parameters":{"content":"# Orchestrator Agent\n\n","height":368,"width":736,"color":5},"type":"n8n-nodes-base.stickyNote","position":[-1120,-960],"typeVersion":1,"id":"5bd8de18-2f65-44b0-882f-7841d0eea648","name":"Sticky Note7"},{"parameters":{"options":{}},"type":"@n8n/n8n-nodes-langchain.toolSerpApi","typeVersion":1,"position":[-1856,240],"id":"2216f9ca-41a2-4ede-9c36-911e389173dc","name":"Google Search","credentials":{"serpApi":{"id":"KVyJYa7fBU7tTN4U","name":"SerpAPI 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$json.body.entry[0].messaging[0].message.text }}","rightValue":"","operator":{"type":"string","operation":"exists","singleValue":true},"id":"35588a02-6475-400d-b869-da05d7ed0f3a"}],"combinator":"and"},"renameOutput":true,"outputKey":"Text"},{"conditions":{"options":{"caseSensitive":true,"leftValue":"","typeValidation":"strict","version":2},"conditions":[{"id":"83b9e800-99d0-4e31-8032-ae81aebe86d1","leftValue":"={{ $json.body.entry[0].messaging[0].message.attachments[0].type }}","rightValue":"audio","operator":{"type":"string","operation":"equals"}}],"combinator":"and"},"renameOutput":true,"outputKey":"Audio"},{"conditions":{"options":{"caseSensitive":true,"leftValue":"","typeValidation":"strict","version":2},"conditions":[{"id":"3ab7184b-65ec-4ca5-a250-667667999220","leftValue":"={{ $json.body.entry[0].messaging[0].message.attachments[0].type }}","rightValue":"image","operator":{"type":"string","operation":"equals"}}],"combinator":"and"},"renameOutput":true,"outputKey":"Image"}]},"options":{}},"type":"n8n-nodes-base.switch","typeVersion":3.2,"position":[-2208,-704],"id":"fcd02892-09b1-478d-a33b-e4ccc2545322","name":"Switch"},{"parameters":{"resource":"audio","operation":"transcribe","options":{"language":"en"}},"type":"@n8n/n8n-nodes-langchain.openAi","typeVersion":1.8,"position":[-1568,-720],"id":"96480fd4-7d5c-44de-8735-a109c31f57cd","name":"Transcribe a recording","credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}}},{"parameters":{"assignments":{"assignments":[{"id":"2f35809b-3889-4ef7-a8d5-a4d934842631","name":"Text","value":"={{ $json.body.entry[0].messaging[0].message.text }}","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[-1600,-912],"id":"e6bcc557-6f6d-44a4-a1ba-aa8d94217df2","name":"Text"},{"parameters":{"assignments":{"assignments":[{"id":"2f358091�1���iP7=�D� Zm��1�putKey":"Image"}]},"options":{}},"type":"n8n-nodes-base.switch","typeVersion":3.2,"position":[-2208,-704],"id":"9d9a9dd1-5782-43f5-be2b-c917cddebf78","name":"Switch"},{"parameters":{"resource":"audio","operation":"transcribe","options":{"language":"en"}},"type":"@n8n/n8n-nodes-langchain.openAi","typeVersion":1.8,"position":[-1600,-784],"id":"39b372b1-732a-4579-9444-1e14cd378557","name":"Transcribe a recording","credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}},"disabled":true},{"parameters":{"assignments":{"assignments":[{"id":"2f35809b-3889-4ef7-a8d5-a4d934842631","name":"Text","value":"={{ $json.body.entry[0].messaging[0].message.text }}","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[-1600,-912],"id":"e18a0a79-8606-41a9-8009-56a0371afb34","name":"Text"},{"parameters":{"assignments":{"assignments":[{"id":"2f35809b-3889-4ef7-a8d5-a4d934842631","name":"Text","value":"={{ $json.content.parts[0].text }}","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[-1376,-720],"id":"79c387c0-5328-4279-bd87-686e681d025e","name":"Voice"},{"parameters":{"url":"={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}","options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[-1856,-704],"id":"e7fdb46f-26d5-4224-9792-9c565537822c","name":"Download Audio"},{"parameters":{"resource":"image","operation":"analyze","modelId":{"__rl":true,"value":"gpt-4o-mini","mode":"list","cachedResultName":"GPT-4O-MINI"},"text":"=What's in this image?","inputType":"base64","options":{}},"type":"@n8n/n8n-nodes-langchain.openAi","typeVersion":1.8,"position":[-1552,-400],"id":"51e9fcf9-165d-4009-9fa0-3ab7ad15110a","name":"Analyze image","credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}},"disabled":true},{"parameters":{"url":"={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}","options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[-1760,-512],"id":"5c2d3c77-73b5-4fc6-933a-cf0c72e87327","name":"Download Image"},{"parameters":{"assignments":{"assignments":[{"id":"2f35809b-3889-4ef7-a8d5-a4d934842631","name":"=Text","value":"=# The author provided the image and the text \n\n## Image Description\n{{ $json.content }}\n\n\n## Image Description\n{{ $json.content.parts[0].text }}\n","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[-1360,-512],"id":"5bdad311-3250-473c-8b14-0cfdd08a4bb1","name":"Image + Text"},{"parameters":{"content":"# Text\n","height":176,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[-1936,-944],"typeVersion":1,"id":"6d376570-d620-4140-84d0-b6d5ed1cae16","name":"Sticky Note"},{"parameters":{"content":"# Voice\n","height":176,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[-1936,-752],"typeVersion":1,"id":"3b1045dc-abf9-4076-979f-b06701d0d4f2","name":"Sticky Note1"},{"parameters":{"content":"# Image\n","height":208,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[-1936,-560],"typeVersion":1,"id":"28a3c293-1639-4a5a-81c2-2722e72cfa08","name":"Sticky Note2","disabled":true},{"parameters":{"content":"# Inputs\n","height":720,"width":1536},"type":"n8n-nodes-base.stickyNote","position":[-2672,-960],"typeVersion":1,"id":"e74a72ee-fad7-412a-929f-9a8f2e6aa17f","name":"Sticky Note3"},{"parameters":{"multipleMethods":true,"path":"evochatbot","responseMode":"responseNode","options":{}},"type":"n8n-nodes-base.webhook","typeVersion":2.1,"position":[-2576,-688],"id":"8ff8e1e6-7543-437c-b32a-e7f3dbafe2a4","name":"Webhook","webhookId":"7aaab06f-5585-4375-90cf-9bc0a751ae95"},{"parameters":{"respondWith":"text","responseBody":"={{ $json.query[\"hub.challenge\"] }}","options":{}},"type":"n8n-nodes-base.respondToWebhook","typeVersion":1.4,"position":[-2368,-832],"id":"34c9640f-5f1f-422e-a54c-5349d59db2a9","name":"Respond to Webhook"},{"parameters":{"toolDescription":"Call this tool if you want to do something with calendar.","text":"={{ /*1���iP7=gH�KPM1�n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"=## Overview\nYou are the Calendar Agent. Your job is to manage calendar events by creating, updating, retrieving, or deleting them as requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Create an event: Use to add a new calendar event\n- Delete an event: Use to remove an existing event\n- Get an event: Use to fetch details of a specific event\n- Get Many Events: Use to list multiple upcoming or past events\n- Update Events: Use to modify details of an existing event\n\n## Rules\n- Always confirm the date, time, and event details before creating or updating\n- Use Get Many Events before creating to avoid duplicates if unsure\n- Keep responses short and clear for WhatsApp delivery\n- If an event cannot be found, respond politely with a fallback message\n\n## Instructions\n1) Interpret the user’s calendar request\n2) Select the correct tool (create, get, update, delete)\n3) Execute the action and return a human-friendly summary\n4) Always confirm the action back to the user\n\n## Examples\n1)\nInput: \"Add a meeting with Sarah tomorrow at 3 PM\"\n- Action: Use Create an event\n- Output: \"Meeting with Sarah scheduled for tomorrow at 3 PM.\"\n\n2)\nInput: \"What’s on my calendar this week?\"\n- Action: Use Get Many Events\n- Output: \"You have 4 events this week. First: Team Sync, Monday 10 AM.\"\n\n3)\nInput: \"Cancel my dentist appointment on Friday\"\n- Action: Use Delete an event\n- Output: \"Dentist appointment on Friday has been deleted.\"\n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[-160,-32],"id":"d9fdbb5d-d54c-4912-b4de-b1150a35cd0d","name":"Calendar Agent"},{"parameters":{"toolDescription":"Call this tool if you want to do something with E-mails.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"You are a helpful assistant"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[-1232,0],"id":"f3fdcf13-9f2b-44e8-9646-525cd9cc072e","name":"E-Mails Agent1"},{"parameters":{"toolDescription":"Call this tool to search the web.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"## Overview\nYou are the Web Search Agent. Your job is to search the web and retrieve reliable information from news, Wikipedia, or Google Search when requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Get an article in Hacker News: Use to fetch recent Hacker News articles\n- Wikipedia: Use to retrieve encyclopedic and factual information\n- Google Search (SerpApi): Use for general web searches across the internet\n\n## Rules\n- Always choose the most relevant tool for the query\n- Return concise, clear, and factual responses\n- Summarize results instead of dumping raw data\n- Cite the source of information (e.g., \"According to Wikipedia...\")\n\n## Instructions\n1) Interpret the user’s query\n2) Select the best tool (Hacker News, Wikipedia, Google Search)\n3) Retrieve and summarize the answer\n4) Return only the relevant response in plain text\n\n## Examples\n1)\nInput: \"What’s the latest AI news?\"\n- Action: Use Hacker News tool to get recent articles\n- Output: \"Latest on Hacker News: OpenAI released a new API feature...\"\n\n2)\nInput: \"Who invented the telephone?\"\n- Action: Use Wikipedia tool\n- Output: \"According to Wikipedia, Alexander Graham Bell is credited with inventing the telephone in 1876.\"\n\n3)\nInput: \"Best restaurants in New York 2025\"\n- Action: Use Google Search (SerpApi)\n- Output: \"Top-rated restaurants in New York (2025): Le Bernardin, Eleven Madison Park, Atomix.\"\n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[-2192,16],"id":"49df61c7-2230-49a2-95f3-3da687e9166c","name":"Search Agent","notesInFlow":false},{"parameters":{"options":{}},"type":"@n8n/n8n-nodes-langchain.toolSerpApi","typeVersion"1���iP7=�����z#1�:1,"position":[-1856,240],"id":"5fba5bba-fb56-460c-a881-eb7a53015c44","name":"Google Search","credentials":{"serpApi":{"id":"KVyJYa7fBU7tTN4U","name":"SerpAPI account"}}},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.toolWikipedia","typeVersion":1,"position":[-2000,240],"id":"99d9fc3a-16cb-4a84-b286-3e0fb4073779","name":"Wikipedia"},{"parameters":{"articleId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}","additionalFields":{}},"type":"n8n-nodes-base.hackerNewsTool","typeVersion":1,"position":[-2144,240],"id":"731a56c1-adcd-4763-8a33-dd34dcbadbf5","name":"Get an article in Hacker News"},{"parameters":{"content":"# Web Search Agent\n\n","height":496,"width":1040,"color":7},"type":"n8n-nodes-base.stickyNote","position":[-2672,-96],"typeVersion":1,"id":"05d9be5f-d611-4c1f-a833-35696b7d068f","name":"Sticky Note8"},{"parameters":{"calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"start":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}","end":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}","useDefaultReminders":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}","additionalFields":{"attendees":[],"description":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}","summary":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}"}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[-192,208],"id":"1e676107-0c7c-4c8c-8e2c-4b895aacf1d4","name":"Create an event","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"delete","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[-32,208],"id":"454e05f2-4f76-4bac-90a7-b51194af19e4","name":"Delete an event","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"get","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[112,208],"id":"68cb3bc6-9cfd-4269-bd23-c5a04ca6d7bc","name":"Get an event","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"getAll","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"returnAll":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}","timeMin":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('After', ``, 'string') }}","timeMax":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Before', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[256,208],"id":"7930dae8-01f5-473d-b9ad-0444566c3cd0","name":"Get Many Events","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"update","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","updateFields":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[400,208],"id":"4a91ec28-4924-4628-9747-1abd69ff6259","name":"Update Events"},{"parameters":{"sendTo":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}","subject":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}","emailType":"text","message":"={{ /*n8n-auto1���iP7=��������2-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}","options":{"appendAttribution":false}},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[-1440,240],"id":"40e437c5-7e10-44a9-8faa-88d2a809dc67","name":"Send a message","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"getAll","returnAll":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}","simple":false,"filters":{},"options":{}},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[-1152,240],"id":"d16292b1-f7b2-4322-bd4a-4cf6b8b42f19","name":"Get many e-mails","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"delete","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}"},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[-1296,240],"id":"7051fdea-34aa-40bb-aeb5-69560a91fbad","name":"Delete an e-mail","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"markAsRead","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}"},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[-992,240],"id":"83cbaf27-cb04-40e1-b4bc-f30e72dae246","name":"Mark as read","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"markAsUnread","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}"},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[-832,240],"id":"d42158a3-1a25-4c04-b6fe-fc65aa9c52f0","name":"Mark as 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Agent\n\n\n","height":496,"width":880,"color":7},"type":"n8n-nodes-base.stickyNote","position":[-368,-96],"typeVersion":1,"id":"ce07ed84-e2df-4cc0-a544-da5cde20c1b4","name":"Sticky Note10"},{"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4.1-mini"},"options":{}},"type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","typeVersion":1.2,"position":[-2288,240],"id":"e0bbc539-8046-44df-bfcd-f954fec542e4","name":"GPT-4.1-mini2","credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}}},{"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4.1-mini"},"options":{}},"type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","typeVersion":1.2,"position":[-1584,224],"id":"fef5e7e6-4a72-4d3f-b15a-d1dd7833ea0c","name":"GPT-4.1-mini3","credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}}},{"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4.1-mini"},"options":{}},"type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","typeVersion":1.2,"position":[-336,208],"id":"c4abf67c-9757-4e1b-b3d4-a9aa577e769e","name":"GPT-4.1-mini4","credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}}},{"parameters":{"options":{}},"type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","typ2��iP7=��?�j$��2
eVersion":1,"position":[-960,-688],"id":"9cd9e63c-728e-418c-965d-f37884e4e070","name":"Google Gemini Chat Model","credentials":{"googlePalmApi":{"id":"xTC5bggV3FN3kz5r","name":"Google Gemini(PaLM) Api account"}}},{"parameters":{"sessionIdType":"customKey","sessionKey":"={{ $('Webhook').item.json.body.entry[0].messaging[0].sender.id }}","contextWindowLength":50},"type":"@n8n/n8n-nodes-langchain.memoryBufferWindow","typeVersion":1.3,"position":[-848,-704],"id":"65ab55b2-28a8-4288-8d18-9e82bbda8f64","name":"Simple Memory"},{"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4.1-mini"},"options":{}},"type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","typeVersion":1.2,"position":[-1072,-368],"id":"87d4fed7-d6df-477b-b277-c00f218dbe84","name":"GPT-4.1-mini1","credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}}},{"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4.1-mini"},"options":{}},"type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","typeVersion":1.2,"position":[-1040,-688],"id":"d162b8f5-e34c-4853-a96d-4e5a8442b1d1","name":"GPT-4.1-mini","credentials":{"openAiApi":{"id":"xiZrWndXXHNvEcL4","name":"OpenAi account 2"}}},{"parameters":{"operation":"appendOrUpdate","documentId":{"__rl":true,"value":"1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU","mode":"list","cachedResultName":"X-Posts","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit?usp=drivesdk"},"sheetName":{"__rl":true,"value":"gid=0","mode":"list","cachedResultName":"Sheet1","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit#gid=0"},"columns":{"mappingMode":"defineBelow","value":{"Date ":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Date_', ``, 'string') }}","Theme":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Theme', ``, 'string') }}","Posts":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Posts', ``, 'string') }}"},"matchingColumns":["Date "],"schema":[{"id":"Date ","displayName":"Date ","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true,"removed":false},{"id":"Theme","displayName":"Theme","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true},{"id":"Posts","displayName":"Posts","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true}],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{}},"type":"n8n-nodes-base.googleSheetsTool","typeVersion":4.7,"position":[-576,-368],"id":"ef0d2ac6-729f-4a27-84bc-57ad2fd1a54a","name":"x post","credentials":{"googleSheetsOAuth2Api":{"id":"vwmv6keJbqpxUxCf","name":"Google Sheets account"}}},{"parameters":{"additionalFields":{}},"type":"n8n-nodes-base.twitterTool","typeVersion":2,"position":[-880,-368],"id":"c2b03124-58e9-48aa-9421-c60ce355ef10","name":"Create Tweet in X"},{"parameters":{"content":"# Social Media - Twitter\n\n\n","height":336,"width":736,"color":7},"type":"n8n-nodes-base.stickyNote","position":[-1120,-576],"typeVersion":1,"id":"a7858b41-43d4-4be8-b4df-bd041f64ad68","name":"Sticky Note11"},{"parameters":{"toolDescription":"Call this tool if you want to post on x.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"=## Role\nYou are an expert in creating high-quality, engaging, and modern posts for **X (formerly Twitter)**. \nYou receive information and generate posts that are:\n\n- **Concise and informative**, without unnecessary details. \n- **Engaging and dynamic**, designed to capture attention and encourage interaction. \n- **Trending and optimized**, using relevant keywords and hashtags for maximum reach. \n- **Structured for readability**, utilizing short paragraphs, line breaks, and emojis to enhance engagement. \n\n---\n\n## Post Style\nYour posts should primarily focus on **AI topics** and often begin with this format:\n\n👉 *“XYZ just dropped XYZ, and people are already doing crazy stuff with it—10 examples.”2
��iP7=al�'�hLZ2* \n\n⚠️ **Important:** When creating a post, always use the **savePost** tool to store it. \n\n---\n\n## Tools\n\n### savePost\nUse this tool to save the post in a **Google Sheets document**. Include:\n\n- **Column 1:** Current date \n- **Column 2:** Post topic \n- **Column 3:** Post content (plain text) \n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[-864,-512],"id":"4cd028c5-949b-4f0a-afdb-f4396b1f371d","name":"Social Media Agent"},{"parameters":{"content":"# Orchestrator Agent\n\n","height":368,"width":736,"color":5},"type":"n8n-nodes-base.stickyNote","position":[-1120,-960],"typeVersion":1,"id":"09d4f34c-25e1-451e-be59-851be0b1df96","name":"Sticky Note7"},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.toolThink","typeVersion":1.1,"position":[-608,-704],"id":"a32078f4-229d-4aaa-a746-cc87d875d4dd","name":"Think"},{"parameters":{"content":"# Output\n","height":704,"width":896},"type":"n8n-nodes-base.stickyNote","position":[-368,-960],"typeVersion":1,"id":"d4bb3449-ac5f-44e3-b0a5-c59437722fe9","name":"Sticky Note6"},{"parameters":{"content":"# Text\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[-208,-864],"typeVersion":1,"id":"dad230ac-3214-4dd8-8842-13507a76f570","name":"Sticky Note5"},{"parameters":{"content":"# Voice\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[-208,-672],"typeVersion":1,"id":"136576c7-2844-4f68-9e46-6a430130fff5","name":"Sticky Note4"},{"parameters":{"promptType":"define","text":"={{ $json.Text }}","options":{"systemMessage":"=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n"}},"type":"@n8n/n8n-nodes-langchain.agent","typeVersion":2.1,"position":[-864,-864],"id":"c934c66e-05dd-47ed-af37-7e77c3201a9d","name":"Orchestrator Agent","retryOnFail":false},{"parameters":{"conditions":{"options":{"caseSensitive":true,"leftValue":"","typeValidation":"strict","version":2},"conditions":[{"id":"bbb5a4b6-7c2c-4af6-a584-e6352fd0068f","leftValue":"={\n \"message\": {\n \"text\": \"={{ $('Webhook').item.2��iP7=7���r�2json.body.entry[0].messaging[0].message.text }}\"\n }\n}\n","rightValue":"","operator":{"type":"string","operation":"exists","singleValue":true}}],"combinator":"and"},"options":{}},"type":"n8n-nodes-base.if","typeVersion":2.2,"position":[-560,-864],"id":"e4a0e637-df6c-45e3-99f2-33457e0a8f57","name":"If"},{"parameters":{"resource":"audio","input":"={{ $('Orchestrator Agent').item.json.output }}","options":{}},"type":"@n8n/n8n-nodes-langchain.openAi","typeVersion":1.8,"position":[-64,-464],"id":"b5810536-b353-4a0f-9c9c-57165f01f6a8","name":"Generate audio","credentials":{"openAiApi":{"id":"NpBggKJcrJLV63HW","name":"OpenAi account"}}},{"parameters":{"method":"POST","url":"=https://graph.facebook.com/v24.0/{{ $('Webhook').item.json.body.entry[0].messaging[0].recipient.id }}/messages?","sendQuery":true,"queryParameters":{"parameters":[{"name":"access_token","value":"EAAbGc9pVXKgBPutCLl81JlyZCmhImJe3ZAjomqdH4lD86VWS809OlA7NeZCaSF796TJywL4ovz0Plp2DmacpFnKoX0U65YvIFMbbfsjG7S0LHw4MkDszPjZCtlhPh7ImQZC1rOqToVcypThDZB23tOrFpSIcLa7gPGsFQHBZAud45GuZCRFsASZCoQOaMICoZAbZAZBC9HO9dWQqeK7LoFZCNoe3NNELyXwZDZD"}]},"sendBody":true,"specifyBody":"json","jsonBody":"={\n \"recipient\": {\n \"id\": \"{{ $('Webhook').item.json.body.entry[0].messaging[0].sender.id }}\"\n },\n \"messaging_type\": \"RESPONSE\",\n \"message\": {\n \"text\": \"{{ $json.message.text.replace(/\"/g, '\\\\\"') }}\"\n }\n}\n\n","options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[112,-832],"id":"3726672c-ad2c-4b73-adf4-d9407b019b49","name":"send text"},{"parameters":{"jsCode":"// Safely extract sender ID and prepare a valid JSON body for Facebook API\nconst senderId = $json.entry?.[0]?.messaging?.[0]?.sender?.id;\nconst textOut = String($json.output || \"\")\n .replace(/\\n/g, '\\\\n'); // escape newlines for JSON validity\n\nreturn [\n {\n json: {\n recipient: { id: senderId },\n messaging_type: \"RESPONSE\",\n message: { text: textOut }\n }\n }\n];\n"},"type":"n8n-nodes-base.code","typeVersion":2,"position":[-96,-832],"id":"8886e440-365a-40ef-a42e-b08f2f4cd30b","name":"Code in 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voice"},{"parameters":{"resource":"video","modelId":{"__rl":true,"value":"models/veo-3.1-fast-generate-preview","mode":"list","cachedResultName":"models/veo-3.1-fast-generate-preview"},"prompt":"={{ $json.output }}","options":{}},"type":"@n8n/n8n-nodes-langchain.googleGemini","typeVersion":1,"position":[-64,-640],"id":"2ec0bf9c-0609-4e52-b055-74a07612d9f8","name":"Generate a video","credentials":{"googlePalmApi":{"id":"xTC5bggV3FN3kz5r","name":"Google Gemini(PaLM) Api account"}}},{"parameters":{"resource":"image","operation":"analyze","modelId":{"__rl":true,"value":"models/gemini-2.5-flash","mode":"list","cachedResultName":"models/gemini-2.5-flash"},"inputType":"binary","options":{}},"type":"@n8n/n8n-nodes-langchain.googleGemini","typeVersion":1,"position":[-1552,-512],"id":"65da8414-2463-4322-965b-1008ff2c6fb3","name":"Analyze an image","credentials":{"googlePalmApi":{"id":"xTC5bggV3FN3kz5r","name":"Google Gemini(PaLM) Api 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message":{"ai_tool":[[{"node":"E-Mails Agent1","type":"ai_tool","index":0}]]},"Get many e-mails":{"ai_tool":[[{"node":"E-Mails Agent1","type":"ai_tool","index":0}]]},"Delete an e-mail":{"ai_tool":[[{"node":"E-Mails Agent1","type":"ai_tool","index":0}]]},"Mark as read":{"ai_tool":[[{"node":"E-Mails Agent1","type":"ai_tool","index":0}]]},"Mark as unread":{"ai_tool":[[{"node":"E-Mails Agent1","type":"ai_tool","index":0}]]},"Reply to e-mail":{"ai_tool":[[{"node":"E-Mails Agent1","type":"ai_tool","index":0}]]},"GPT-4.1-mini2":{"ai_languageModel":[[{"node":"Search Agent","type":"ai_languageModel","index":0}]]},"GPT-4.1-mini3":{"ai_languageModel":[[{"node":"E-Mails Agent1","type":"ai_languageModel","index":0}]]},"GPT-4.1-mini4":{"ai_languageModel":[[{"node":"Calendar Agent","type":"ai_languageModel","index":0}]]},"GPT-4.1-mini1":{"ai_languageModel":[[{"node":"Social Media Agent","type":"ai_languageModel","index":0}]]},"x post":{"ai_tool":[[{"node":"Social Media 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sxXSLyp07PaS9U8VSecretery_MCP[{"parameters":{"rules":{"values":[{"conditions":{"options":{"caseSensitive":true,"leftValue":"","typeValidation":"strict","version":2},"conditions":[{"leftValue":"={{ $json.message.text }}","rightValue":"","operator":{"type":"string","operation":"exists","singleValue":true},"id":"35588a02-6475-400d-b869-da05d7ed0f3a"}],"combinator":"and"},"renameOutput":true,"outputKey":"Text"},{"conditions":{"options":{"caseSensitive":true,"leftValue":"","2!�� -E��]�#;U ;3 iGjJYWcbrxSyYPEtEvoChatBot-Free WhatsApp API[{"parameters":{"multipleMethods":true,"path":"MessengerBot2","responseMode":"responseNode","options":{}},"type":"n8n-nodes-base.webhook","typeVersion":2.1,"position":[128,544],"id":"5106b885-034f-470a-bbfe-269edca9091f","name":"Webhook","webhookId":"4cceff2e-5d34-4fa8-add0-ac396727f5d2","disabled":true},{"parameters":{"respondWith":"text","responseBody":"={{ $json.query['hub.challenge'] }}","options":{}},"type":"n8n-nodes-base.respondToWebhook","typeVersion":1.4,"position":[272,128],"id":"abc1160d-b7ad-461d-b82a-da6cbe5c9fc9","name":"Respond to Webhook"},{"parameters":{"rules":{"values":[{"conditions":{"options":{"caseSensitive":true,"leftValue":"","typeValidation":"strict","version":2},"conditions":[{"leftValue":"={{ $json.body.entry[0].messaging[0].message.text }}","rightValue":"","operator":{"type":"string","operation":"exists","singleValue":true},"id":"35588a02-6475-400d-b869-da05d7ed0f3a"}],"combinator":"and"},"renameOutput":true,"outputKey":"Text"},{"conditions":{"options":{"caseSensitive":true,"leftValue":"","typeValidation":"strict","version":2},"conditions":[{"id":"83b9e800-99d0-4e31-8032-ae81aebe86d1","leftValue":"={{ $json.body.entry[0].messaging[0].message.attachments[0].type }}","rightValue":"audio","operator":{"type":"string","operation":"equals"}}],"combinator":"and"},"renameOutput":true,"outputKey":"Audio"},{"conditions":{"options":{"caseSensitive":true,"leftValue":"","typeValidation":"strict","version":2},"conditions":[{"id":"3ab7184b-65ec-4ca5-a250-667667999220","leftValue":"={{ $json.body.entry[0].messaging[0].message.attachments[0].type }}","rightValue":"image","operator":{"type":"string","operation":"equals"}}],"combinator":"and"},"renameOutput":true,"outputKey":"Image"}]},"options":{}},"type":"n8n-nodes-base.switch","typeVersion":3.2,"position":[464,256],"id":"92a3cce5-3d06-4dcd-a0a8-56c5302f8d7d","name":"Switch"},{"parameters":{"resource":"audio","operation":"transcribe","options":{"language":"en"}},"type":"@n8n/n8n-nodes-langchain.openAi","typeVersion":1.8,"position":[1104,240],"id":"07b401c0-4925-4232-a630-ccf403232398","name":"Transcribe a recording","disabled":true},{"parameters":{"assignments":{"assignments":[{"id":"2f35809b-3889-4ef7-a8d5-a4d934842631","name":"Text","value":"={{ $json.body.entry[0].messaging[0].message.text }}","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[1072,48],"id":"b7b3f0c7-4128-4068-bcb8-7aa011cb7da7","name":"Text"},{"parameters":{"assignments":{"assignments":[{"id":"2f35809b-3889-4ef7-a8d5-a4d934842631","name22��iP7=&�����2 generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"=## Overview\nYou are the Calendar Agent. Your job is to manage calendar events by creating, updating, retrieving, or deleting them as requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Create an event: Use to add a new calendar event\n- Delete an event: Use to remove an existing event\n- Get an event: Use to fetch details of a specific event\n- Get Many Events: Use to list multiple upcoming or past events\n- Update Events: Use to modify details of an existing event\n\n## Rules\n- Always confirm the date, time, and event details before creating or updating\n- Use Get Many Events before creating to avoid duplicates if unsure\n- Keep responses short and clear for WhatsApp delivery\n- If an event cannot be found, respond politely with a fallback message\n\n## Instructions\n1) Interpret the user’s calendar request\n2) Select the correct tool (create, get, update, delete)\n3) Execute the action and return a human-friendly summary\n4) Always confirm the action back to the user\n\n## Examples\n1)\nInput: \"Add a meeting with Sarah tomorrow at 3 PM\"\n- Action: Use Create an event\n- Output: \"Meeting with Sarah scheduled for tomorrow at 3 PM.\"\n\n2)\nInput: \"What’s on my calendar this week?\"\n- Action: Use Get Many Events\n- Output: \"You have 4 events this week. First: Team Sync, Monday 10 AM.\"\n\n3)\nInput: \"Cancel my dentist appointment on Friday\"\n- Action: Use Delete an event\n- Output: \"Dentist appointment on Friday has been deleted.\"\n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[2496,816],"id":"06ee915b-3524-46c5-a52c-244158f26c9e","name":"Calendar Agent","disabled":true},{"parameters":{"toolDescription":"Call this tool if you want to do something with E-mails.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"You are a helpful assistant"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[1440,848],"id":"c075267c-4254-4be4-8c87-1bf55a6ed153","name":"E-Mails Agent1","disabled":true},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.toolThink","typeVersion":1.1,"position":[2064,256],"id":"f8a0473e-7587-4927-8ff8-e6f39a6f40fd","name":"Think"},{"parameters":{"toolDescription":"Call this tool to search the web.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"## Overview\nYou are the Web Search Agent. Your job is to search the web and retrieve reliable information from news, Wikipedia, or Google Search when requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Get an article in Hacker News: Use to fetch recent Hacker News articles\n- Wikipedia: Use to retrieve encyclopedic and factual information\n- Google Search (SerpApi): Use for general web searches across the internet\n\n## Rules\n- Always choose the most relevant tool for the query\n- Return concise, clear, and factual responses\n- Summarize results instead of dumping raw data\n- Cite the source of information (e.g., \"According to Wikipedia...\")\n\n## Instructions\n1) Interpret the user’s query\n2) Select the best tool (Hacker News, Wikipedia, Google Search)\n3) Retrieve and summarize the answer\n4) Return only the relevant response in plain text\n\n## Examples\n1)\nInput: \"What’s the latest AI news?\"\n- Action: Use Hacker News tool to get recent articles\n- Output: \"Latest on Hacker News: OpenAI released a new API feature...\"\n\n2)\nInput: \"Who invented the telephone?\"\n- Action: Use Wikipedia tool\n- Output: \"According to Wikipedia, Alexander Graham Bell is credited with inventing the telephone in 1876.\"\n\n3)\nInput: \"Best restaurants in New York 2025\"\n- Action: Use Google Search (SerpApi)\n- Output: \"Top-rated restaurants in New York (2025): Le Bernardin, Eleven Madison Park, Atomix.\"\n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[2��iP7=��K-Z2\n\n\n\n","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[1360,448],"id":"222a1a08-99a1-4929-a8cb-338a31e1fb0c","name":"Image + Text"},{"parameters":{"content":"# Text\n","height":176,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[736,16],"typeVersion":1,"id":"57f14335-0dca-48ae-b85c-f4b85dcee47e","name":"Sticky Note"},{"parameters":{"content":"# Voice\n","height":176,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[736,208],"typeVersion":1,"id":"c852ac38-2489-43d3-8346-1ce05947d9dd","name":"Sticky Note1"},{"parameters":{"content":"# Image\n","height":208,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[736,400],"typeVersion":1,"id":"e6192067-da1b-4f21-bfcb-f178b0a06151","name":"Sticky Note2"},{"parameters":{"content":"# Inputs\n","height":720,"width":1536},"type":"n8n-nodes-base.stickyNote","position":[0,0],"typeVersion":1,"id":"f671807b-7601-4507-a238-f18bd3928ab1","name":"Sticky Note3"},{"parameters":{"promptType":"define","text":"={{ $json.Text }}","options":{"systemMessage":"=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n"}},"type":"@n8n/n8n-nodes-langchain.agent","typeVersion":2.1,"position":[1808,96],"id":"2543716a-8c40-4cc3-a926-c52329bf3a29","name":"Orchestrator Agent","retryOnFail":false},{"parameters":{"content":"# Voice\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[2448,288],"typeVersion":1,"id":"52e96eee-f8be-4495-b827-25350b6e98e0","name":"Sticky Note4"},{"parameters":{"content":"# Text\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[2448,64],"typeVersion":1,"id":"83257bd7-9048-472e-bb32-903d3d49c5cf","name":"Sticky Note5"},{"parameters":{"content":"# Output\n","height":704,"width":896},"type":"n8n-nodes-base.stickyNote","position":[2304,0],"typeVersion":1,"id":"37bccbfe-0eea-46d0-9470-f6a219342420","name":"Sticky Note6"},{"parameters":{"toolDescription":"Call this tool if you want to do something with calendar.","text":"={{ /*n8n-auto-2 ��iP7=CH���+a2480,864],"id":"e161ffec-71c0-4252-bc65-c4764fb20b8e","name":"Search Agent","notesInFlow":false,"disabled":true},{"parameters":{"content":"# Orchestrator Agent\n\n","height":368,"width":736,"color":5},"type":"n8n-nodes-base.stickyNote","position":[1552,0],"typeVersion":1,"id":"331c5300-66e7-4628-8a7d-3f5b311bf7e8","name":"Sticky Note7"},{"parameters":{"options":{}},"type":"@n8n/n8n-nodes-langchain.toolSerpApi","typeVersion":1,"position":[816,1088],"id":"90ab4032-8e3d-4f21-847b-3be5424a58e2","name":"Google Search","disabled":true},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.toolWikipedia","typeVersion":1,"position":[672,1088],"id":"a5997b87-f066-476d-b727-928c6975847e","name":"Wikipedia","disabled":true},{"parameters":{"articleId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}","additionalFields":{}},"type":"n8n-nodes-base.hackerNewsTool","typeVersion":1,"position":[528,1088],"id":"c3ca1909-af64-49e0-a139-0a3d445ec375","name":"Get an article in Hacker News","disabled":true},{"parameters":{"content":"# Web Search Agent\n\n","height":496,"width":1040,"color":7},"type":"n8n-nodes-base.stickyNote","position":[0,752],"typeVersion":1,"id":"c5f98461-1920-4b1b-b5dc-4786d17f73a6","name":"Sticky Note8"},{"parameters":{"calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"start":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}","end":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}","useDefaultReminders":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}","additionalFields":{"attendees":[],"description":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}","summary":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}"}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[2464,1056],"id":"628890b8-e2a7-4132-8340-c485fded4f0b","name":"Create an event","disabled":true},{"parameters":{"operation":"delete","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[2624,1056],"id":"41b47523-2bf3-4cfd-a9a7-3ba49a1d9771","name":"Delete an event","disabled":true},{"parameters":{"operation":"get","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[2752,1056],"id":"a8287e0f-5e80-4c2b-b863-20f93c34ba26","name":"Get an event","disabled":true},{"parameters":{"operation":"getAll","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"returnAll":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}","timeMin":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('After', ``, 'string') }}","timeMax":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Before', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[2896,1056],"id":"65fc84df-1fbf-4672-b3ba-ffcb419f98d5","name":"Get Many Events","disabled":true},{"parameters":{"operation":"update","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","updateFields":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[3040,1056],"id":"a67a1bad-674f-4d9b-b13d-34c179be70ae","name":"Update Events","disabled":true},{"parameters":{"sendTo":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}","subject":"={{ /*n8n-auto-generated-fromAI-override*/ $fromA2��iP7=��H۩(A2":"Text","value":"={{ $json.text }}","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[1296,240],"id":"dcf9fe51-5bb7-40d8-b7ec-4b6950a8b3fc","name":"Voice","disabled":true},{"parameters":{"url":"={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}","options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[912,240],"id":"a71bb2be-7384-4d26-bf1a-1fbbb94cec31","name":"Download Audio","disabled":true},{"parameters":{"conditions":{"options":{"caseSensitive":true,"leftValue":"","typeValidation":"strict","version":2},"conditions":[{"id":"bbb5a4b6-7c2c-4af6-a584-e6352fd0068f","leftValue":"={{ $('Webhook').item.json.body.entry[0].messaging[0].message.text }}","rightValue":"","operator":{"type":"string","operation":"exists","singleValue":true}}],"combinator":"and"},"options":{}},"type":"n8n-nodes-base.if","typeVersion":2.2,"position":[2112,96],"id":"3412063c-f5e5-4bdd-ae1a-0ce3919aae53","name":"If"},{"parameters":{"resource":"image","operation":"analyze","modelId":{"__rl":true,"value":"gpt-4o-mini","mode":"list","cachedResultName":"GPT-4O-MINI"},"text":"=What's in this image?","inputType":"base64","options":{}},"type":"@n8n/n8n-nodes-langchain.openAi","typeVersion":1.8,"position":[1120,448],"id":"74f12538-1dc0-41f8-9574-47dd5c285c14","name":"Analyze image","disabled":true},{"parameters":{"url":"={{ $json.body.entry[0].messaging[0].message.attachments[0].payload.url }}","options":{}},"type":"n8n-nodes-base.httpRequest","typeVersion":4.2,"position":[912,448],"id":"ef959871-d957-443e-b825-379611969c28","name":"Download Image","disabled":true},{"parameters":{"assignments":{"assignments":[{"id":"2f35809b-3889-4ef7-a8d5-a4d934842631","name":"Text","value":"=# The author provided the image and the text \n\n## Image Description\n{{ $json.content }}\n\n\n\n","type":"string"}]},"options":{}},"type":"n8n-nodes-base.set","typeVersion":3.4,"position":[1312,448],"id":"5cc9648d-2d47-44b2-9836-3d35a3c27747","name":"Image + Text","disabled":true},{"parameters":{"content":"# Text\n","height":176,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[736,16],"typeVersion":1,"id":"2e78b81e-b23f-4e8c-9755-8905b3624029","name":"Sticky Note"},{"parameters":{"content":"# Voice\n","height":176,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[736,208],"typeVersion":1,"id":"06b96217-9d0c-4663-ab20-a2eba3118300","name":"Sticky Note1"},{"parameters":{"content":"# Image\n","height":208,"width":768,"color":3},"type":"n8n-nodes-base.stickyNote","position":[736,400],"typeVersion":1,"id":"f90fe2f0-0a90-4bfd-96a3-1b64f6815ad1","name":"Sticky Note2","disabled":true},{"parameters":{"content":"# Inputs\n","height":720,"width":1536},"type":"n8n-nodes-base.stickyNote","position":[0,0],"typeVersion":1,"id":"0f8d15be-f536-49f7-b939-74294176af83","name":"Sticky Note3"},{"parameters":{"promptType":"define","text":"={{ $json.Text }}","options":{"systemMessage":"=## Overview\nYou are the Parent Orchestrator Agent. Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed ima2��iP7=��n3��L2ge, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n"}},"type":"@n8n/n8n-nodes-langchain.agent","typeVersion":2.1,"position":[1808,96],"id":"5c3b026b-6d63-48d4-bfce-eba5be5925d7","name":"Orchestrator Agent","retryOnFail":false},{"parameters":{"content":"# Voice\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[2464,288],"typeVersion":1,"id":"8c9e5f0e-77fa-4167-b9d8-d1060323091b","name":"Sticky Note4"},{"parameters":{"content":"# Text\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[2464,96],"typeVersion":1,"id":"4ce487ab-cfbe-4c3a-ab56-eedc48244add","name":"Sticky Note5"},{"parameters":{"content":"# Output\n","height":704,"width":896},"type":"n8n-nodes-base.stickyNote","position":[2304,0],"typeVersion":1,"id":"3f7bbe10-a72a-4c99-a9a7-3f6a3b0080bf","name":"Sticky Note6"},{"parameters":{"toolDescription":"Call this tool if you want to do something with calendar.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"=## Overview\nYou are the Calendar Agent. Your job is to manage calendar events by creating, updating, retrieving, or deleting them as requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Create an event: Use to add a new calendar event\n- Delete an event: Use to remove an existing event\n- Get an event: Use to fetch details of a specific event\n- Get Many Events: Use to list multiple upcoming or past events\n- Update Events: Use to modify details of an existing event\n\n## Rules\n- Always confirm the date, time, and event details before creating or updating\n- Use Get Many Events before creating to avoid duplicates if unsure\n- Keep responses short and clear for WhatsApp delivery\n- If an event cannot be found, respond politely with a fallback message\n\n## Instructions\n1) Interpret the user’s calendar request\n2) Select the correct tool (create, get, update, delete)\n3) Execute the action and return a human-friendly summary\n4) Always confirm the action back to the user\n\n## Examples\n1)\nInput: \"Add a meeting with Sarah tomorrow at 3 PM\"\n- Action: Use Create an event\n- Output: \"Meeting with Sarah scheduled for tomorrow at 3 PM.\"\n\n2)\nInput: \"What’s on my calendar this week?\"\n- Action: Use Get Many Events\n- Output: \"You have 4 events this week. First: Team Sync, Monday 10 AM.\"\n\n3)\nInput: \"Cancel my dentist appointment on Friday\"\n- Action: Use Delete an event\n- Output: \"Dentist appointment on Friday has been deleted.\"\n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[2512,928],"id":"b55be697-e9d9-4713-8caf-59a69fb51362","name":"Calendar Agent"},{"parameters":{"toolDescription":"Call this tool if you want to do something with E-mails.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"You are a helpful assistant"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[1440,960],"id":"a2150596-aa34-4d76-8741-c797f9348042","name":"E-Mails Agent1"},{"parameters":{},"type":"@n8n/n8n-nodes-langchai2��iP7=K�9�U��^2n.toolThink","typeVersion":1.1,"position":[2080,256],"id":"af5cd2f9-d48c-426b-bb2c-be4ab5d7b9c7","name":"Think"},{"parameters":{"toolDescription":"Call this tool to search the web.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"## Overview\nYou are the Web Search Agent. Your job is to search the web and retrieve reliable information from news, Wikipedia, or Google Search when requested. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Get an article in Hacker News: Use to fetch recent Hacker News articles\n- Wikipedia: Use to retrieve encyclopedic and factual information\n- Google Search (SerpApi): Use for general web searches across the internet\n\n## Rules\n- Always choose the most relevant tool for the query\n- Return concise, clear, and factual responses\n- Summarize results instead of dumping raw data\n- Cite the source of information (e.g., \"According to Wikipedia...\")\n\n## Instructions\n1) Interpret the user’s query\n2) Select the best tool (Hacker News, Wikipedia, Google Search)\n3) Retrieve and summarize the answer\n4) Return only the relevant response in plain text\n\n## Examples\n1)\nInput: \"What’s the latest AI news?\"\n- Action: Use Hacker News tool to get recent articles\n- Output: \"Latest on Hacker News: OpenAI released a new API feature...\"\n\n2)\nInput: \"Who invented the telephone?\"\n- Action: Use Wikipedia tool\n- Output: \"According to Wikipedia, Alexander Graham Bell is credited with inventing the telephone in 1876.\"\n\n3)\nInput: \"Best restaurants in New York 2025\"\n- Action: Use Google Search (SerpApi)\n- Output: \"Top-rated restaurants in New York (2025): Le Bernardin, Eleven Madison Park, Atomix.\"\n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[480,976],"id":"75fd9e48-83e8-4d6d-87f4-99bc72287c9d","name":"Search Agent","notesInFlow":false},{"parameters":{"content":"# Orchestrator Agent\n\n","height":368,"width":736,"color":5},"type":"n8n-nodes-base.stickyNote","position":[1552,0],"typeVersion":1,"id":"26d4149c-4570-4ff6-af2c-86d013b8d2c1","name":"Sticky Note7"},{"parameters":{"options":{}},"type":"@n8n/n8n-nodes-langchain.toolSerpApi","typeVersion":1,"position":[816,1200],"id":"b79c0494-f3d3-4f86-a74e-b499b4030a39","name":"Google Search","credentials":{"serpApi":{"id":"KVyJYa7fBU7tTN4U","name":"SerpAPI account"}}},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.toolWikipedia","typeVersion":1,"position":[672,1200],"id":"a14d0183-798a-47ec-a676-1f813f6e14a8","name":"Wikipedia"},{"parameters":{"articleId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}","additionalFields":{}},"type":"n8n-nodes-base.hackerNewsTool","typeVersion":1,"position":[528,1200],"id":"6ddf1129-9fe2-4ad1-9a88-b55e5995f32a","name":"Get an article in Hacker News"},{"parameters":{"content":"# Web Search Agent\n\n","height":496,"width":1040,"color":7},"type":"n8n-nodes-base.stickyNote","position":[0,864],"typeVersion":1,"id":"35ce4921-89b5-4869-934f-9922e123c163","name":"Sticky Note8"},{"parameters":{"calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"start":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}","end":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}","useDefaultReminders":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}","additionalFields":{"attendees":[],"description":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}","summary":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}"}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[2480,1168],"id":"924ff427-ff84-47d4-bac4-fc24ad1310ee","name":"Create an event","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"delete","calendar":{"__rl":true,"value":"alyfar601@gmail.c2��iP7=����N�2om","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[2640,1168],"id":"b8329d56-b233-4b16-a738-7ce0fa4f6517","name":"Delete an event","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"get","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[2768,1168],"id":"3dab9c1c-2088-4126-a246-98a05da6207c","name":"Get an event","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"getAll","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"returnAll":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}","timeMin":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('After', ``, 'string') }}","timeMax":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Before', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[2912,1168],"id":"7b102bb9-7f32-4390-a5ac-87b024ab697a","name":"Get Many Events","credentials":{"googleCalendarOAuth2Api":{"id":"4OoIHjw6F7hm0LsY","name":"Google Calendar account"}}},{"parameters":{"operation":"update","calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"eventId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Event_ID', ``, 'string') }}","updateFields":{}},"type":"n8n-nodes-base.googleCalendarTool","typeVersion":1.3,"position":[3056,1168],"id":"62b3355a-7273-4998-b68c-90d2652cf166","name":"Update Events","disabled":true},{"parameters":{"sendTo":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}","subject":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}","emailType":"text","message":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}","options":{"appendAttribution":false}},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[1232,1200],"id":"e9745ac8-76c1-44ad-b6c4-a676dc726fd2","name":"Send a message","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"getAll","returnAll":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}","simple":false,"filters":{},"options":{}},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[1520,1200],"id":"24089e06-36e3-4987-9fd2-996b4255b4af","name":"Get many e-mails","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail 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}}"},"type":"n8n-nodes-base.gmailTool2��iP7=�ʽ_�+Y�2","typeVersion":2.1,"position":[1840,1200],"id":"09c70fd9-e758-4e30-b2ce-06a6a39225fc","name":"Mark as unread","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"operation":"reply","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}","emailType":"text","message":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}","options":{}},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[2016,1200],"id":"c89ec438-3ca6-4809-8934-349732d75b8a","name":"Reply to e-mail","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","credentials":{"gmailOAuth2":{"id":"vL1hwAuQCCbv0MjK","name":"Gmail account"}}},{"parameters":{"content":"# E-Mail Agent\n\n\n","height":496,"width":1232,"color":7},"type":"n8n-nodes-base.stickyNote","position":[1056,864],"typeVersion":1,"id":"52a8589b-ef13-4ce0-b5d5-8375f701c950","name":"Sticky Note9"},{"parameters":{"toolDescription":"Call this tool if you want to post on x.","text":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Prompt__User_Message_', ``, 'string') }}","options":{"systemMessage":"=## Role\nYou are an expert in creating high-quality, engaging, and modern posts for **X (formerly Twitter)**. \nYou receive information and generate posts that are:\n\n- **Concise and informative**, without unnecessary details. \n- **Engaging and dynamic**, designed to capture attention and encourage interaction. \n- **Trending and optimized**, using relevant keywords and hashtags for maximum reach. \n- **Structured for readability**, utilizing short paragraphs, line breaks, and emojis to enhance engagement. \n\n---\n\n## Post Style\nYour posts should primarily focus on **AI topics** and often begin with this format:\n\n👉 *“XYZ just dropped XYZ, and people are already doing crazy stuff with it—10 examples.”* \n\n⚠️ **Important:** When creating a post, always use the **savePost** tool to store it. \n\n---\n\n## Tools\n\n### savePost\nUse this tool to save the post in a **Google Sheets document**. Include:\n\n- **Column 1:** Current date \n- **Column 2:** Post topic \n- **Column 3:** Post content (plain text) \n"}},"type":"@n8n/n8n-nodes-langchain.agentTool","typeVersion":2.2,"position":[1808,448],"id":"d5df0f1a-08ae-4b4c-afbc-af85de8e96d9","name":"Social Media Agent","disabled":true},{"parameters":{"content":"# Calender Agent\n\n\n","height":496,"width":880,"color":7},"type":"n8n-nodes-base.stickyNote","position":[2304,864],"typeVersion":1,"id":"5d59b5fd-1c98-4785-8793-a900bc6d39f4","name":"Sticky Note10"},{"parameters":{"content":"# Social Media - Twitter\n\n\n","height":336,"width":736,"color":7},"type":"n8n-nodes-base.stickyNote","position":[1552,384],"typeVersion":1,"id":"b8ad0acc-31b8-4e13-a231-24666171db8a","name":"Sticky Note11"},{"parameters":{"additionalFields":{}},"type":"n8n-nodes-base.twitterTool","typeVersion":2,"position":[1776,560],"id":"861881ab-9071-426e-904b-50d9c03c0380","name":"Create Tweet in X","disabled":true},{"parameters":{"operation":"appendOrUpdate","documentId":{"__rl":true,"value":"1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU","mode":"list","cachedResultName":"X-Posts","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit?usp=drivesdk"},"sheetName":{"__rl":true,"value":"gid=0","mode":"list","cachedResultName":"Sheet1","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1LVctGysj6Uro_Mx29CrV2WxsPnl4E9FPhbNfEYUBMwU/edit#gid=0"},"columns":{"mappingMode":"defineBelow","value":{"Date ":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Date_', ``, 'string') }}","Theme":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Theme', ``, 'string') }}","Posts":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Posts', ``, 'string') }}"},"matchingColumns":["Date "],"schema":[{"id":"Date ","displayName":"Date ","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true,"removed":false},{"id":"Theme","di2��iP7= �S�zi2splayName":"Theme","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true},{"id":"Posts","displayName":"Posts","required":false,"defaultMatch":false,"display":true,"type":"string","canBeUsedToMatch":true}],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{}},"type":"n8n-nodes-base.googleSheetsTool","typeVersion":4.7,"position":[2080,576],"id":"05171d1d-8b00-49b7-8bcb-440f08a7e956","name":"x post","credentials":{"googleSheetsOAuth2Api":{"id":"vwmv6keJbqpxUxCf","name":"Google Sheets 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Your job is to route and coordinate incoming WhatsApp messages (text, voice, image) to the correct sub-agent or processing tool. The current date and time is {{ $now.toString() }}\n\n## Tools\n- Think: Use to evaluate context and decide routing logic\n- E-Mails Agent: Use for handling email-related queries, sending, replying, or managing inbox\n- Calendar Agent: Use for scheduling, retrieving, updating, or deleting calendar events\n- Web Search Agent: Use to fetch information from the internet (Google Search, Wikipedia, Hacker News)\n- Social Media Agent: Use to create or manage posts on Twitter/X\n\n## Rules\n- Route text, voice, or image inputs based on intent and context\n- Use Think tool when unsure which agent to delegate to\n- Always return the response in the correct WhatsApp output format (text or audio)\n- Keep responses concise and aligned with the casual tone of WhatsApp\n- Confirm completion of actions (emails sent, events scheduled, tweets posted, etc.)\n\n## Instructions\n1) Receive processed input (transcribed text, analyzed image, or raw message)\n2) Decide best-fit agent using Think\n3) Send the task to chosen sub-agent (E-Mails, Calendar, Web Search, Social Media)\n4) Summarize the result and return to WhatsApp as text or audio\n\n## Examples\n1)\nInput: \"What’s on my calendar tomorrow?\"\n- Action: Use Calendar Agent to check tomorrow’s events\n- Output: \"You have 2 events tomorrow: 10 AM – Project Review, 2 PM – Client Call.\"\n\n2)\nInput: Voice message: \"Send an email to Sarah about the meeting.\"\n- Action: Use E-Mails Agent to draft and send email\n- Output: \"Email sent to2"��iP7=xC�l�q2# Sarah: Subject – Meeting Update...\"\n\n3)\nInput: \"Search the latest AI news.\"\n- Action: Use Web Search Agent\n- Output: \"Latest AI news from Hacker News: OpenAI released a new API feature...\"\n\n4)\nInput: \"Post on Twitter: Excited about our new product launch!\"\n- Action: Use Social Media Agent\n- Output: \"Tweet posted: 'Excited about our new product launch!'\"\n"}},"type":"@n8n/n8n-nodes-langchain.agent","typeVersion":2.1,"position":[1792,96],"id":"4dd8a6c0-5e90-4dd9-aa0d-eb45b7e169bb","name":"Orchestrator Agent","retryOnFail":false},{"parameters":{"content":"# Text\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[2432,160],"typeVersion":1,"id":"bf94b7f0-798e-4ebd-8410-8b6440bd7daa","name":"Sticky Note4"},{"parameters":{"content":"# Text\n\n","height":176,"width":576,"color":4},"type":"n8n-nodes-base.stickyNote","position":[2432,368],"typeVersion":1,"id":"e8702373-797a-44f7-8125-4a308559bce5","name":"Sticky Note5"},{"parameters":{"content":"# Output\n","height":720,"width":800},"type":"n8n-nodes-base.stickyNote","position":[2288,0],"typeVersion":1,"id":"0fed0f50-ed26-4506-825c-3a6a1493beb4","name":"Sticky Note6"},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.toolThink","typeVersion":1.1,"position":[2080,416],"id":"84580ab8-92c9-423d-aeee-0382c0b6199d","name":"Think"},{"parameters":{"content":"# Orchestrator Agent\n\n","height":720,"width":736,"color":5},"type":"n8n-nodes-base.stickyNote","position":[1536,0],"typeVersion":1,"id":"503783ec-7512-4d28-8c13-f349f44d0b50","name":"Sticky Note7"},{"parameters":{"options":{}},"type":"@n8n/n8n-nodes-langchain.toolSerpApi","typeVersion":1,"position":[1328,1616],"id":"f618ddb5-b806-4c14-830f-87b76ebf735c","name":"Google Search","disabled":true},{"parameters":{},"type":"@n8n/n8n-nodes-langchain.toolWikipedia","typeVersion":1,"position":[1184,1616],"id":"a273eca0-02ae-4c21-bbf9-2b7929f0e38c","name":"Wikipedia","disabled":true},{"parameters":{"articleId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Article_ID', ``, 'string') }}","additionalFields":{}},"type":"n8n-nodes-base.hackerNewsTool","typeVersion":1,"position":[1040,1616],"id":"3eaa0a1a-94e9-4c19-a246-58bfa79f5c9d","name":"Get an article in Hacker News","disabled":true},{"parameters":{"content":"# Web Search Agent\n\n","height":496,"width":1520,"color":7},"type":"n8n-nodes-base.stickyNote","position":[0,1296],"typeVersion":1,"id":"b8d8b9ee-e490-4c80-b17b-5637fc553025","name":"Sticky Note8","disabled":true},{"parameters":{"calendar":{"__rl":true,"value":"alyfar601@gmail.com","mode":"list","cachedResultName":"alyfar601@gmail.com"},"start":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}","end":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}","useDefaultReminders":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Use_Default_Reminders', ``, 'boolean') }}","additionalFields":{"attendees":[],"description":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') 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/*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}","options":{"appendAttribution":false}},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[608,1088],"id":"be2ba26c-cd9e-4dc1-b4a1-4acaacd1931c","name":"Send a message","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","disabled":true},{"parameters":{"operation":"getAll","returnAll":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}","simple":false,"filters":{},"options":{}},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[768,1088],"id":"63b17edb-93bc-4ce7-a7f1-786d2779df0e","name":"Get many e-mails","webhookId":"bb7a5919-6824-4026-8720-4dc83b7f247e","disabled":true},{"parameters":{"operation":"markAsRead","messageId":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}"},"type":"n8n-nodes-base.gmailTool","typeVersion":2.1,"position":[976,1088],"id":"03a15a92-dccb-46d7-9b59-43ef5ae3819e","name":"Mark as 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Detect","type":"main","index":0}]]}}{"executionOrder":"v1"}{}ba3b7d54-04c9-40ad-8c9b-00c59f6d8d4f2025-10-26 18:15:59.0832025-10-26 18:15:59.083[]26��iP7=R���D�2�\n recommendations.push('Optimize landing pages for better conversions');\n } else {\n insights.push(`Low conversion rate: ${conversionRate.toFixed(2)}% (0 points)`);\n recommendations.push('CRITICAL: Review landing page experience and targeting');\n alertLevel = 'critical';\n }\n \n // Cost Efficiency Analysis\n if (costPerConversion > 0) {\n if (costPerConversion <= 25) {\n performanceScore += 25;\n insights.push(`Excellent cost per conversion: $${costPerConversion.toFixed(2)} (+25 points)`);\n } else if (costPerConversion <= 50) {\n performanceScore += 15;\n insights.push(`Good cost per conversion: $${costPerConversion.toFixed(2)} (+15 points)`);\n } else if (costPerConversion <= 100) {\n performanceScore += 8;\n insights.push(`Fair cost per conversion: $${costPerConversion.toFixed(2)} (+8 points)`);\n recommendations.push('Look for ways to reduce cost per conversion');\n } else {\n insights.push(`High cost per conversion: $${costPerConversion.toFixed(2)} (0 points)`);\n recommendations.push('URGENT: Review bid strategy and audience targeting');\n alertLevel = alertLevel === 'critical' ? 'critical' : 'warning';\n }\n }\n \n // Volume Analysis\n if (clicks >= 1000) {\n performanceScore += 10;\n insights.push(`High traffic volume: ${clicks} clicks (+10 points)`);\n } else if (clicks >= 500) {\n performanceScore += 5;\n insights.push(`Good traffic volume: ${clicks} clicks (+5 points)`);\n } else if (clicks < 100) {\n insights.push(`Low traffic volume: ${clicks} clicks (0 points)`);\n recommendations.push('Consider increasing budget or expanding targeting');\n }\n \n // Determine performance tier\n let performanceTier = 'Underperforming';\n if (performanceScore >= 75) {\n performanceTier = 'Excellent';\n } else if (performanceScore >= 55) {\n performanceTier = 'Good';\n } else if (performanceScore >= 35) {\n performanceTier = 'Fair';\n }\n \n // Add strategic recommendations\n if (performanceTier === 'Excellent') {\n recommendations.push('Scale this campaign - increase budget by 20-30%');\n recommendations.push('Use this as a template for new campaigns');\n } else if (performanceTier === 'Good') {\n recommendations.push('Test incremental budget increases');\n recommendations.push('Identify top-performing ad groups to scale');\n }\n \n analyzedItems.push({\n json: {\n ...data,\n campaignId: data.campaign?.id,\n campaignName: data.campaign?.name,\n campaignStatus: data.campaign?.status,\n performanceScore: performanceScore,\n performanceTier: performanceTier,\n alertLevel: alertLevel,\n insights: insights,\n recommendations: recommendations,\n metrics: {\n clicks: clicks,\n impressions: impressions,\n cost: cost.toFixed(2),\n conversions: conversions,\n ctr: ctr.toFixed(2),\n conversionRate: conversionRate.toFixed(2),\n costPerConversion: costPerConversion.toFixed(2),\n avgCpc: avgCpc.toFixed(2)\n },\n analyzedAt: new Date().toISOString()\n }\n });\n}\n\nreturn analyzedItems;"},"id":"ab0c016e-06e5-48fc-9944-21b70e1608e5","name":"AI Performance Analysis","type":"n8n-nodes-base.code","position":[-16,672],"typeVersion":2},{"parameters":{"conditions":{"options":{"caseSensitive":true,"leftValue":"","typeValidation":"strict","version":1},"conditions":[{"id":"excellent","operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.performanceTier }}","rightValue":"Excellent"},{"id":"good","operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.performanceTier }}","rightValue":"Good"}],"combinator":"or"},"options":{}},"id":"f4a07ca8-3df8-4a1c-9804-47a7f39e6178","name":"Route by Performance","type":"n8n-nodes-base.if","position":[208,672],"typeVersion":2},{"parameters":{"operation":"appendOrUpdate","documentId":{"__rl":true,"mode":"list","value":"your-dashboard-spreadsheet-id","cachedResultName":"PPC Performance Dashboard"},"sheetName":{"__r2B��iP7=��AK4y�E ��5��L � � >���
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Your campaign \"${campaignName}\" is performing exceptionally well.\n\n📊 PERFORMANCE SUMMARY\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\nPerformance Score: ${data.performanceScore}/100\nPerformance Tier: ${tier}\nDaily Spend: $${data.metrics.cost}\nConversions: ${data.metrics.conversions}\nConversion Rate: ${data.metrics.conversionRate}%\nCost per Conversion: $${data.metrics.costPerConversion}\n\n💡 KEY INSIGHTS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.insights.map(2���iP7=w��{�&�2�(insight, i) => `${i + 1}. ${insight}`).join('\\n')}\n\n🎯 RECOMMENDED ACTIONS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.recommendations.map((rec, i) => `${i + 1}. ${rec}`).join('\\n')}\n\n📈 SCALING STRATEGY\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n• Increase daily budget by 20-30%\n• Monitor performance closely for next 3-5 days\n• If metrics hold, continue scaling gradually\n• Consider duplicating successful ad groups\n• Test expansion to similar audiences\n\nThis campaign is ready to scale. Let's capitalize on this momentum!\n\nBest,\nAutomated PPC Intelligence System`;\n } else if (alertLevel === 'critical' || alertLevel === 'warning') {\n priority = 'Urgent';\n emailSubject = `⚠️ ${campaignName}: Performance Issues Detected`;\n emailBody = `Hi PPC Team,\n\n⚠️ ATTENTION REQUIRED\n\nYour campaign \"${campaignName}\" requires immediate attention due to performance concerns.\n\n📊 PERFORMANCE SUMMARY\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\nPerformance Score: ${data.performanceScore}/100\nPerformance Tier: ${tier}\nAlert Level: ${alertLevel.toUpperCase()}\nDaily Spend: $${data.metrics.cost}\nConversions: ${data.metrics.conversions}\nConversion Rate: ${data.metrics.conversionRate}%\nCost per Conversion: $${data.metrics.costPerConversion}\n\n⚠️ IDENTIFIED ISSUES\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.insights.map((insight, i) => `${i + 1}. ${insight}`).join('\\n')}\n\n🔧 REQUIRED ACTIONS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.recommendations.map((rec, i) => `${i + 1}. ${rec}`).join('\\n')}\n\n🚨 IMMEDIATE NEXT STEPS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n1. Review campaign settings and targeting\n2. Analyze recent changes that may have impacted performance\n3. Check landing page experience and load times\n4. Review competitor activity\n5. Consider pausing low-performing ad groups\n6. Test new ad variations\n\nPlease address these issues within 24 hours to prevent budget waste.\n\nBest,\nAutomated PPC Intelligence System`;\n } else {\n emailSubject = `📊 ${campaignName}: Daily Performance Report`;\n emailBody = `Hi PPC Team,\n\nHere's your daily performance summary for \"${campaignName}\".\n\n📊 PERFORMANCE SUMMARY\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\nPerformance Score: ${data.performanceScore}/100\nPerformance Tier: ${tier}\nDaily Spend: $${data.metrics.cost}\nConversions: ${data.metrics.conversions}\nConversion Rate: ${data.metrics.conversionRate}%\nCost per Conversion: $${data.metrics.costPerConversion}\n\n💡 INSIGHTS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.insights.map((insight, i) => `${i + 1}. ${insight}`).join('\\n')}\n\n📋 RECOMMENDATIONS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.recommendations.map((rec, i) => `${i + 1}. ${rec}`).join('\\n')}\n\nContinue monitoring and optimizing for best results.\n\nBest,\nAutomated PPC Intelligence System`;\n }\n \n actionPlanItems.push({\n json: {\n ...data,\n emailSubject: emailSubject,\n emailBody: emailBody,\n priority: priority,\n actionRequired: alertLevel === 'critical' || alertLevel === 'warning',\n scaleRecommended: tier === 'Excellent' || tier === 'Good'\n }\n });\n}\n\nreturn actionPlanItems;"},"id":"b0976ee8-3cec-4048-a796-b315339bdda9","name":"Generate Action Plan","type":"n8n-nodes-base.code","position":[432,672],"typeVersion":2},{"parameters":{"fromEmail":"ppc-alerts@yourcompany.com","toEmail":"ppc-team@yourcompany.com","subject":"={{ $json.emailSubject }}2���iP7=4�e�1u
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Underperforming 🔴\n\nTotal Spend: ${{ $('Generate Daily Summary').item.json.totalSpend }}\nTotal Conversions: {{ $('Generate Daily Summary').item.json.totalConversions }}"}]},"options":{}},"id":"81f68764-3eeb-4532-bf57-7b08d7cd5cea","name":"Generate Daily Summary","type":"n8n-nodes-base.set","position":[880,576],"typeVersion":3.3},{"parameters":{"content":"# 📊 PPC Campaign Intelligence System\n\nAutomatically monitors Google Ads campaigns daily, analyzes performance with AI scoring, and alerts your team about scaling opportunities or issues requiring attention.\n\n**AI Analysis:** Evaluates CTR, conversion rate, cost efficiency, and traffic volume to assign performance scores (0-100).\n\n**Setup:**\n- Connect Google Ads, Sheets, Slack, SMTP\n- Update spreadsheet IDs and Slack channels\n- Customize scoring thresholds in code\n- Adjust email recipients\n\n**Benefits:**\n- Never miss scaling opportunities\n- Catch underperforming campaigns early\n- Data-driven optimization decisions\n- Automated daily reporting\n\n*Built by Daniel Shashko*\n[Connect on LinkedIn](https://www.linkedin.com/in/daniel-shashko/)","height":572,"width":500},"id":"02d50948-16cd-4bb9-bea5-2ca79312224d","name":"Sticky Note","type":"n2���iP7=���B8n-nodes-base.stickyNote","position":[-1056,496],"typeVersion":1},{"parameters":{"content":"Triggers workflow automatically every morning at 9 AM daily","height":96,"width":160},"id":"65f1d574-76db-4ec4-a62a-321959a33ca0","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-496,544],"typeVersion":1},{"parameters":{"content":"Pulls all campaign metrics from Google Ads API","height":96,"width":160},"id":"55b5db99-dd48-4db8-9eec-61b3b83551b5","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[-272,544],"typeVersion":1},{"parameters":{"content":"Scores campaigns based on CTR, conversions, and cost efficiency\n","height":96,"width":160},"id":"ca2e3673-b621-40b3-a12b-361b6a3a1075","name":"Sticky 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Based on this product description, generate 3 distinct name + tagline options.\n\nReturn your output in this format:\n[\n { \"name\": \"Name1\", \"tagline\": \"Tagline1\" },\n { \"name\": \"Name2\", \"tagline\": \"Tagline2\" },\n { \"name\": \"Name3\", \"tagline\": \"Tagline3\" }\n]\n"}},"id":"d0a5b97f-fb30-4b1a-a27e-8ae938bac193","name":"AI Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[256,-464],"typeVersion":2},{"parameters":{"options":{"reset":true}},"id":"785a5de3-f1b1-457d-9375-b182045ffd6f","name":"Loop Over Items","type":"n8n-nodes-base.splitInBatches","position":[656,-464],"typeVersion":3},{"parameters":{"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"or","conditions":[{"id":"595ebd64-59de-470c-9827-24d204db58f9","operator":{"type":"number","operation":"equals"},"leftValue":"={{ $json.turn }}","rightValue":5},{"id":"fb2ec186-4676-4e91-85b1-af7ce745b203","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.done }}","rightValue":"Yes"}]},"options":{}},"id":"69d1a624-883b-4bc6-9a1a-b45e2da6feb1","name":"If","type":"n8n-nodes-base.if","position":[1088,-336],"typeVersion":2.2},{"parameters":{"promptType":"define","text":"=Ideas:\n{{JSON.stringify($('Edit Fields').item.json.ideas)}}","options":{"systemMessage":"You are a critical branding analyst. For each name + tagline below, provide a short flaw summary and a suggestion for improvement."}},"id":"f00169ff-9cd9-44b1-a908-398ef8f1ffcc","name":"Critic Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[1328,-288],"typeVersion":2},{"parameters":{"promptType":"define","text":"=**Original Ideas:** {{ JSON.stringify($('Edit Fields').item.json.ideas) }}\n\n**Critics Feedback:** {{ $json.output }}","options":{"systemMessage":"You are a refiner. Use the original ideas and the critic’s feedback to 2'2���iP7=8�D�a�2�alue for Trigify: Rare \"To Respond.\"\n* **Prior Email History = \"Yes\":** Indicates an **existing relationship/conversation**.\n * If it's an update on terms, policies, or service changes from this known entity: Likely \"Notification.\"\n * If it's a newsletter Max subscribed to: Could be \"FYI\" or \"Marketing\" based on content.\n * If it's a direct message requiring action: Likely \"To Respond.\"\n* **`List-Unsubscribe` Header or Unsubscribe Links in Body:**\n * Common in \"Marketing\" emails.\n * Also present in many legitimate \"Notification\" emails (e.g., service updates, policy changes like the DPA example) and some \"FYI\" newsletters for compliance.\n * **Therefore, an unsubscribe link alone does not define the category. Consider it alongside Prior Email History and email content/purpose.**\n* **`Precedence: Bulk` Header:** Often indicates mass mailings, common for Marketing, Notifications, and some FYIs.\n\n---\n\n* **To Respond (Label ID: `Label_5151750749488724401`):**\n * **Primary Criteria:** Requires direct, timely action/reply from `[REDACTED_EMAIL]`.\n * **Key Indicators (especially if Prior Email History = \"Yes\"):** Direct questions to Max, assigned tasks, requests for info for Trigify, deadlines for Max, part of an active conversation (indicated by `In-Reply-To`/`References`).\n * **Sales Process Prioritization (Warm Leads/Active Processes - typically Prior Email History = \"Yes\"):** Ongoing, active Trigify sales process discussions.\n * **High-Value Cold Outreach (Exceptional Cases - Prior Email History = \"No\"):** Highly personalized, strategic opportunity for Trigify requiring Max's personal attention. (Default for cold sales is \"Marketing\").\n\n* **FYI (Label ID: `Label_7518716752151077752`):**\n * **Primary Criteria:** For Max's awareness; no immediate action/reply required.\n * **Key Indicators:**\n * Max is CC'd, primary action for others.\n * General announcements, *non-promotional* newsletters from *known entities/subscriptions* (Prior Email History = \"Yes\" or sender is clearly a subscribed source) that aren't critical service notifications.\n * Informational updates within ongoing projects where Max isn't the primary actor.\n * If an email is a mass mailing (`Precedence: Bulk`, `List-Unsubscribe` present) from a *known entity* (Prior Email History = \"Yes\") and is purely informational without a direct call to action or critical service update, it could be \"FYI.\"\n\n* **Comment (Label ID: `Label_1470120230130814788`):**\n * Comment/feedback on a document, task, system (e.g., subject \"New comment on...\").\n\n* **Notification (Label ID: `Label_9`):**\n * **Primary Criteria:** Provides important, often non-promotional, updates or alerts regarding an existing service, account, or system that `[REDACTED_EMAIL]` or Trigify uses or is affected by. Action is typically awareness, potential configuration change, or noting a deadline, rather than a conversational reply.\n * **Key Indicators:**\n * **Updates from Known Service Providers (Prior Email History = \"Yes\" is common):**\n * Changes to Terms of Service, Privacy Policies, Data Processing Agreements (DPAs like the \"Plain\" example).\n * Critical service availability announcements (outages, maintenance).\n * Security alerts related to an account Max uses.\n * Important updates about features or functionality of a service Trigify relies on, which are not primarily marketing new features.\n * System-generated alerts (e.g., `Auto-Submitted Header` = `auto-generated`) like social media notifications, non-meeting calendar reminders, some financial transaction alerts.\n * Subject lines may contain: \"Important Update,\" \"Service Notification,\" \"Policy Change,\" \"DPA Update,\" \"Security Alert.\"\n * Even if a `List-Unsubscribe` link is present (for compliance), if the core content is a critical service/account/legal update from a company Max/Trigify does business with, it's a \"Notification2���iP7=&6�V����.\"\n * The `Existing Gmail Labels` might include `CATEGORY_UPDATES`.\n\n* **Meeting Update (Label ID: `Label_7958083858424702466`):**\n * Update specifically regarding a scheduled meeting (e.g., \"Accepted:\", \"Declined:\", \"Updated Invitation:\", \"Cancelled:\").\n\n* **Marketing (Label ID: `Label_5274550748854913384`):**\n * **Primary Criteria:** Unsolicited promotional sales pitch, advertisement, or general marketing newsletter, especially if **Prior Email History = \"No.\"**\n * **Key Indicators:**\n * **No prior email history found with the `Sender Email`,** AND the email is primarily aimed at selling a product/service or promoting a company/event to Max/Trigify.\n * Content is generic, focused on features/benefits without strong personalization to Max's known, active projects.\n * Contains a `List-Unsubscribe Header` AND the content is promotional.\n * `Existing Gmail Labels` may include `CATEGORY_PROMOTIONS`.\n * If **Prior Email History = \"Yes\"**: Could still be \"Marketing\" if it's a clearly promotional newsletter/offer from a known contact that doesn't fit \"Notification\" or demand a \"To Respond.\"\n\n---\n\n**Email Data for Classification (Summary):**\n* **Prior Email History with Sender (Yes/No) - From the new capability**\n* Sender Email: `{{ $json.from.value[0].address }}`\n* Sender Name: `{{ $json.from.value[0].name }}`\n* Direct Recipient Emails (To): `{{ $json.to.value.map(r => r.address).join(', ') }}`\n* CC Recipient Emails: `{{ $json.cc.value.map(r => r.address).join(', ') }}`\n* Subject: `{{ $json.subject }}`\n* Body (Plain Text): `{{ $json.text }}`\n* Existing Gmail Labels: `{{ $json.labelIds.join(', ') }}`\n* Auto-Submitted Header: `{{ $json.headers['auto-submitted'] }}`\n* Original Sender Header: `{{ $json.headers.sender }}`\n* In-Reply-To Header: `{{ $json.headers['in-reply-to'] }}`\n* References Header: `{{ $json.headers.references }}`\n* List-Unsubscribe Header: `{{ $json.headers['list-unsubscribe'] }}`\n* Precedence Header: `{{ $json.headers.precedence }}`\n\n**Output:** [Provide ONLY the Label ID here]"}},"id":"0e64b31f-04fd-4956-9b81-f9a5d325b372","name":"AI Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[-528,80],"typeVersion":1.9},{"parameters":{"operation":"getAll","returnAll":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Return_All', ``, 'boolean') }}","filters":{"q":"=from:{{ $fromAI('email') }}"}},"id":"e0097f6d-57cf-49e3-ab61-af6cf6fc3765","name":"Get Email","type":"n8n-nodes-base.gmailTool","position":[-256,368],"webhookId":"[REDACTED_WEBHOOK_ID]","typeVersion":2.1,"credentials":{"gmailOAuth2":{"id":"6zeZfhesQ4wkWVzB","name":"Gmail account API Key"}}},{"parameters":{"operation":"getAll","filters":{"labelIds":["SENT"],"q":"=to:{{ $fromAI('email') }}"}},"id":"6e2cc0c6-0ad6-4872-a87d-8095cc9f885b","name":"Check Sent","type":"n8n-nodes-base.gmailTool","position":[-464,400],"webhookId":"[REDACTED_WEBHOOK_ID]","typeVersion":2.1,"credentials":{"gmailOAuth2":{"id":"6zeZfhesQ4wkWVzB","name":"Gmail account API Key"}}},{"parameters":{"options":{}},"type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","typeVersion":1,"position":[-672,288],"id":"9a4d65dc-9af4-41dc-bf4f-43ee8f3a76d5","name":"Google Gemini Chat Model","credentials":{"googlePalmApi":{"id":"xTC5bggV3FN3kz5r","name":"Google Gemini(PaLM) Api account"}}}]{"Gmail":{"main":[[{"node":"AI Agent","type":"main","index":0}]]},"AI Agent":{"main":[[{"node":"Gmail1","type":"main","index":0}]]},"Get Email":{"ai_tool":[[{"node":"AI Agent","type":"ai_tool","index":0}]]},"Check Sent":{"ai_tool":[[{"node":"AI Agent","type":"ai_tool","index":0}]]},"Gmail Trigger":{"main":[[{"node":"Gmail","type":"main","index":0}]]},"Anthropic Chat Model":{"ai_languageModel":[[]]},"Structured Output Parser":{"ai_outputParser":[[{"node":"AI Agent","type":"ai_outputParser","index":0}]]},"Google Gemini Chat Model":{"ai_languageModel":[[{"node":"AI Agent","type":"ai_languageModel","index":0}]]}}{"executionOrder":"v1"}{}4496b30f-ab69-436c-9541-545b32e84aa82025-11-04 17:11:29.1452025-11-05 13:48:09[]2���iP7=���K�Uw1�ike its being written by me (Max Mitcham). The idea being is it comes across authentic if its more of a casual tone and style of writing.","hasOutputParser":true,"options":{"systemMessage":"=# Expert Editing Guidelines\n\nYou are an expert Editor specializing in refining and polishing content to ensure it meets the highest quality standards. Your role is to review and improve the written material produced by multiple writers while maintaining academic integrity and proper source attribution. Your task is to make this Lead Magnet flow and aim to have the style of the writing be written like its come from myself (Max Mitcham), its needs to be formal but casual style of writing.\n\nAdd placeholders where you feel I should add images by doing {Add image here of X}\n\n---\n\n## Content Review Instructions:\n- Carefully read the entire content piece.\n- Check for grammar, spelling, and punctuation errors.\n- Ensure consistency in tone, style, and voice throughout the piece.\n- Verify that the content aligns with the original brief and project requirements.\n- Improve sentence structure and flow for better readability.\n- Optimize headlines, subheadings, and formatting for better engagement, especially for SEO.\n- Suggest improvements or additions to enhance the overall quality of the content.\n\n---\n"}},"id":"cf27135c-a542-4bb4-b89f-ecbe85243344","name":"Editor","type":"@n8n/n8n-nodes-langchain.agent","position":[2048,0],"typeVersion":1.7},{"parameters":{"folderId":"1V_pWutQIYm0QFuUeO1RI5eYd2v_kYRaf","title":"={{ $node[\"Project Planner\"].json[\"output\"][\"title\"] }}"},"id":"6a6c33d1-fd62-4482-b1ff-f8fd11600422","name":"Google Docs","type":"n8n-nodes-base.googleDocs","position":[2368,0],"typeVersion":2,"credentials":{"googleDocsOAuth2Api":{"id":"BN1fUIweWn9mWabd","name":"Google Docs account"}}},{"parameters":{"options":{}},"id":"207adc95-b4a1-4c8d-952a-f5f13390aae6","name":"When chat message received","type":"@n8n/n8n-nodes-langchain.chatTrigger","position":[-208,64],"webhookId":"[REDACTED_WEBHOOK_ID]","typeVersion":1.1},{"parameters":{"toolDescription":"Trigify knowledge hub.","method":"POST","url":"https://www.chatbase.co/api/v1/chat","sendHeaders":true,"parametersHeaders":{"values":[{"name":"Authorization","valueProvider":"fieldValue","value":"Bearer [REDACTED_API_TOKEN]"},{"name":"Content-Type","valueProvider":"fieldValue","value":"application/json"}]},"sendBody":true,"specifyBody":"json","jsonBody":"{\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"{placeholder}\"\n }\n ],\n \"chatbotId\": \"[REDACTED_CHATBOT_ID]\",\n \"stream\": false,\n \"temperature\": 0,\n \"model\": \"claude-3-5-sonnet\"\n}"},"id":"c02badde-719a-4462-9cc4-91bdb857559c","name":"Trigify knowledge hub","type":"@n8n/n8n-nodes-langchain.toolHttpRequest","position":[1568,240],"typeVersion":1.1},{"parameters":{"model":"=claude-3-7-sonnet-20250219","options":{}},"id":"395a2263-9932-4d1f-afca-16b5c029f486","name":"Anthropic Chat Model1","type":"@n8n/n8n-nodes-langchain.lmChatAnthropic","position":[672,688],"typeVersion":1.2,"credentials":{"anthropicApi":{"id":"JpQ3sNJUz1a7dvDf","name":"Anthropic account"}},"disabled":true},{"parameters":{"assignments":{"assignments":[{"id":"ff1378ca-ad8a-4656-a82b-2c85ccfdef35","name":"field","type":"string","value":"=https://docs.google.com/document/d/{{ $('Google Docs1').item.json.documentId }}"},{"id":"11b66d56-cc3b-48ec-bee4-58f44340258d","name":"body['First Name']","type":"string","value":"={{ $node[\"Webhook\"].json[\"body\"][\"First Name\"] }}"},{"id":"03a9b312-31cb-4ec6-85a6-e75470e3392a","name":"body['Last Name']","type":"string","value":"={{ $node[\"Webhook\"].json[\"body\"][\"Last Name\"] }}"},{"id":"81f75a32-494c-4b4c-90b5-bbb0a903ae45","name":"body.Domain","type":"string","value":"={{ $node[\"Webhook\"].json[\"body\"][\"Domain\"] }}"},{"id":"c3bd15a0-d0f2-4ea6-bce4-cda3448fc112","name":"body['Full Name']","type":"string","value":"={{ $node[\"Webhook\"].json[\"body\"][\"Full Name\"] }}"},{"id":"5677ab97-6d17-4911-bebf-6582ddee31e7","name":"body['LinkedIn Url']","type":"st2���iP7=r<ږj�X2�ing that has been written by my company Trigify. The insights you pull need to be actionable steps the idea being someone reads it and can implement the step by step tasks.**\n\nGuidelines:\n- Just return the plain text for each chapter (no JSON structure).\n- Use the perplexity_ai_search tool to research the topic in the chapter.\n- Use html format for output\n- Don't add internal titles or headings.\n- The length of each chapter should be around 120 words\nwords long—go deep in the topic you treat, don't just throw some superficial info.\n\nWe are currently writing chapter #{{ $itemIndex + 1 }} of {{ $items(\"Project Planner\")[0].json.output.chapters.length }}.\n\nPrevious chapter:\n{{ $itemIndex > 0 ? $items(\"Project Planner\")[0].json.output.chapters[$itemIndex - 1].title : \"None\" }}\n\nNext chapter:\n{{ $itemIndex < $items(\"Project Planner\")[0].json.output.chapters.length - 1 ? $items(\"Project Planner\")[0].json.output.chapters[$itemIndex + 1].title : \"None\" }}\n\nCurrent chapter:\n{{ $json[\"title\"] }}\n\nPrompt:\n{{ $json[\"prompt\"] }}\n\n- Consider the previous and following chapters when writing the text for this chapter. The text must be coherent with the previous and following chapters.\n- This chapter should not repeat the concepts already exposed in the previous chapter.\n- This chapter is part of a larger article so don't include an introduction or conclusions. This chapter should merge seamlessly with the rest of the article.\n- Please write in a style that is educational for the user so they can follow your advice step by step and action your research.\n- For Trigify topics: Reference specific Trigify functionalities, configurations, and success metrics from the Trigify knowledge hub2\n- For non-Trigify topics: Use the perplexity online tool as source of information\n\nCitation Guidelines:\n- For Trigify topics:\n - Cite information from the Trigify knowledge hub2 as: [Source: Trigify Knowledge Hub]\n - Use Perplexity for supplementary research and cite according to standard guidelines\n\n- For non-Trigify topics:\n - Use the perplexity_ai_search tool to gather information and cite sources.\n - Include citations properly as a source of information, include a hyperlinked inline citation\n - Format citations as HTML links with descriptive text:\n [Source: Publication Name]\n\nExample of proper citation format:\n- \"According to recent data [Source: McKinsey & Company]...\"\n- When directly quoting from a source, use quotation marks and include the citation\n\nFor Trigify topics, ensure the chapter includes:\n- Specific Trigify features or tools relevant to the topic\n- Step-by-step implementation guidance using Trigify\n- Real-world applications or success metrics from Trigify users\n- Technical details on configuration or setup where applicable"}},"id":"3551c436-db17-40ef-bcba-3bcfa84a8b0e","name":"Team of Research Assistants","type":"@n8n/n8n-nodes-langchain.agent","position":[1328,0],"typeVersion":1.7},{"parameters":{"mode":"combine","combineBy":"combineByPosition","options":{}},"id":"63679854-1933-42eb-ace3-de337332605b","name":"Merge","type":"n8n-nodes-base.merge","position":[1712,0],"typeVersion":3},{"parameters":{"jsCode":"const mergeData = $input.all().map((item) => item.json);\nconst combinedData = [];\n\nmergeData.forEach((item) => {\n combinedData.push(item.title, item.output);\n});\n\nreturn { combinedData };\n"},"id":"d31a1c4d-378f-433a-a259-9a6fd07b2983","name":"Code","type":"n8n-nodes-base.code","position":[1872,0],"typeVersion":2},{"parameters":{"promptType":"define","text":"=Edit this text into a nice article: {{ $json.combinedData }}\n\n**Context - This is a Lead Magnet you are writing which I will be posting on LinkedIn. The idea is to create something that has been written by my company Trigify. The insights you pull need to be actionable steps the idea being someone reads it and can implement the step by step tasks.**\n\nI want the text to be structured so that it looks l2���iP7=t8$�hN�2�apter prompt should:\n - Include specific Trigify features, tools, or methodologies relevant to that section\n - Incorporate proven implementation steps from the Trigify knowledge hub2\n - Reference actual use cases or success patterns from Trigify customers when available\n\n- Don't start the chapters with `\"Chapter 1\"`, `\"Chapter 2\"`, `\"Chapter 3\"`... just write the title of the chapter.\n- For the title and the chapters' titles, don't use colons `(:)`.\n- Please use this text format.\n- Please write in a style that is informative and instructional so the user can follow your advice and action what you're saying, they need step by step breakdowns on how to execute on what you're saying.\n- Go deep into the topic you treat, don't just throw some superficial info.\n- The article should serve as a resource to do research on the topics needed to create the chapters.\n- Ensure each chapter prompt guides the creation of content that contains:\n - Clear, numbered step-by-step instructions where applicable\n - Specific implementation details and technical guidance\n - Common pitfalls to avoid and how to overcome them\n - Metrics for measuring success\n - For Trigify topics: Specific Trigify configurations, settings, or workflows\n\n**Today's date is {{ $now }}**\n**Context - This is a Lead Magnet you are writing which I will be posting on LinkedIn. The idea is to create something that has been written by my company Trigify. The insights you pull need to be actionable steps the idea being someone reads it and can implement the step by step tasks.**","hasOutputParser":true,"options":{}},"id":"b8624cd0-86cb-4ea0-a063-dcbe297baac0","name":"Project Planner","type":"@n8n/n8n-nodes-langchain.agent","position":[768,0],"typeVersion":1.7},{"parameters":{"jsonSchemaExample":"{\n \"title\": \"Dynamic AI-Generated Content Example\",\n \"subtitle\": \"A Flexible JSON Structure for AI Content Creation\",\n \"introduction\": \"This JSON example demonstrates a structured yet flexible approach for AI-generated content. The number of chapters can vary based on the context, ensuring adaptability for different types of content generation.\",\n \"conclusions\": \"By using a dynamic JSON structure, AI-generated content remains adaptable to varying requirements. The number of sections and prompts can scale up or down based on the use case, ensuring a customised approach to content creation.\",\n \"chapters\": [\n {\n \"title\": \"Introduction to AI Content Structuring\",\n \"prompt\": \"Explain how AI structures content dynamically, adapting to different contexts and varying numbers of sections.\"\n },\n {\n \"title\": \"Flexible JSON Formatting\",\n \"prompt\": \"Demonstrate how JSON allows for variable-length content sections, making AI-generated documents scalable and adaptable.\"\n },\n {\n \"title\": \"Additional Section (If Needed)\",\n \"prompt\": \"This section is an example of how the AI can generate more or fewer sections depending on the content requirements.\"\n }\n ]\n}"},"id":"ea2b1ac6-a067-45ca-a8aa-5a4d71deb0d1","name":"Structured Output Parser1","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[1072,240],"typeVersion":1.2},{"parameters":{"fieldToSplitOut":"output.chapters","options":{}},"id":"71231911-deae-4c87-98d3-d5b6ac899d41","name":"Split Out","type":"n8n-nodes-base.splitOut","position":[1120,0],"typeVersion":1},{"parameters":{"promptType":"define","text":"=Write a chapter for this article -> {{ $('Project Planner').item.json.output.title }}\n\nwrite a chapter for -> {{ $json.title }} that {{ $json.prompt }}\n\nMake sure to use the Trigify knowledge hub.","options":{"systemMessage":"=You are a dedicated Research Assistant AI agent, working as part of a research team under the guidance of a Research Leader and Project Planner. Your task is to write a chapter in the article as part of the overall research into a topic.\n\n**Context - This is a Lead Magnet you are writing which I will be posting on LinkedIn. The idea is to create someth2���iP7=HKv�l�>�2�sed sections]\n\nV. **Future Perspectives** \n A. Emerging Trends \n B. Potential Developments \n C. Recommendations \n\nVI. **Conclusion** \n A. Summary of Key Insights \n B. Actionable Takeaways \n C. Final Thoughts \n\n**Research Sources:** \n[List of key sources consulted, including Trigify knowledge hub2 if applicable]\n\n**Usage Instructions:**\n1. Provide a specific topic you want to analyze.\n2. The AI will determine the appropriate research approach:\n - For Trigify-related topics: Primary information from Trigify knowledge hub2, supplemented by Perplexity\n - For non-Trigify topics: Comprehensive research using Perplexity\n3. Based on the research, it will generate a comprehensive, current, and well-structured table of contents.\n4. Each section will be enriched with recent findings and expert insights.\n5. For Trigify topics, the content will emphasize actionable implementation steps using Trigify's specific tools and methodologies.\n6. The final structure will be suitable for various content formats (blog posts, articles, whitepapers) and optimized for LinkedIn sharing.\n\nToday's date is {{ $now }}"}},"id":"7a6e652c-2b40-41fc-80eb-e6fbc417a3f5","name":"Research Leader","type":"@n8n/n8n-nodes-langchain.agent","position":[400,0],"typeVersion":1.7},{"parameters":{"name":"Perplexity_tool","description":"Call this tool to run your research.","workflowId":{"__rl":true,"mode":"list","value":"[REDACTED_WORKFLOW_ID]","cachedResultName":"Trigify Agents — My Sub-Workflow 2"},"workflowInputs":{"value":{},"schema":[],"mappingMode":"defineBelow","matchingColumns":[],"attemptToConvertTypes":false,"convertFieldsToString":false}},"id":"2838edc9-f879-4be6-b899-3facfd9206f5","name":"Perplexity tool","type":"@n8n/n8n-nodes-langchain.toolWorkflow","position":[960,704],"typeVersion":2},{"parameters":{"promptType":"define","text":"=Write the title, the subtitle, the chapters details, the introduction, the conclusions.\nPlease use this set of topics to create chapters: \n{{ $json.output }}\n\n### Research Process\n1. Analyze the provided topics thoroughly and determine research approach:\n - If topics are related to Trigify: First use Perplexity tool to understand Trigify's general capabilities, then use Trigify knowledge hub2 as primary information source\n - If topics are not related to Trigify: Use Perplexity tool for comprehensive research\n\n2. Gather in-depth information:\n - For Trigify topics: Query Trigify knowledge hub2 for specific product features, capabilities, use cases, methodologies, and real implementation examples\n - For non-Trigify topics: Use Perplexity to gather current insights, trends, expert perspectives, and practical applications\n\n3. Ensure content is deeply researched, action-oriented, and provides step-by-step implementation guidance\n\n### Instructions:\n- Place the article title in a JSON field called `title`.\n- Place the subtitle in a JSON field called `subtitle`.\n- Place the introduction in a JSON field called `introduction`.\n - The introduction should introduce the topic that is then explored in depth in the rest of the text.\n - The introduction should be around 100 words.\n - For Trigify topics: Highlight Trigify's unique approach to solving the problem\n- Place the conclusions in a JSON field called `conclusions`.\n - The conclusions should be around 100 words.\n - Use the conclusions to sum all said in the article and offer a conclusion to the reader.\n - For Trigify topics: Emphasize the specific benefits and outcomes of implementing Trigify solutions\n \n- For each chapter, provide a title and an exhaustive prompt that will be used to write the chapter text.\n - Place the chapters in an array field called `chapters`.\n - For each chapter, provide the fields `\"title\"` and `\"prompt\"`.\n - The chapters should follow a logical flow and not repeat the same concepts.\n - The chapters should be one related to the other and not isolated blocks of text.\n - The text should be fluent and follow a linear logic.\n - For Trigify topics: Each ch2���iP7= xլj K2�LinkedIn profile targeting strategies\",\n \"Comparing Trigify LinkedIn outreach performance to manual methods\"\n ]\n}\n```"}},"id":"e5035f68-2371-4333-b335-d93596cdaee4","name":"Query Builder","type":"@n8n/n8n-nodes-langchain.agent","position":[0,0],"typeVersion":1.7},{"parameters":{"jsonSchemaExample":"{\n \"topic\": \"USER_INPUT_TOPIC\",\n \"searchQueries\": [\n \"QUERY_1\",\n \"QUERY_2\",\n \"QUERY_3\",\n \"QUERY_4\",\n \"QUERY_5\"\n ]\n}"},"id":"ef7f60f2-65c5-4fb1-b9bb-6e9d70f3c1fd","name":"Structured Output Parser","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[304,160],"typeVersion":1.2},{"parameters":{"promptType":"define","text":"=Research the following topics:\n{{ $json.output.searchQueries[0] }}\n{{ $json.output.searchQueries[1] }}\n{{ $json.output.searchQueries[2] }}\n{{ $json.output.searchQueries[3] }}\n{{ $json.output.searchQueries[4] }}\n","options":{"systemMessage":"=You are Research Leader specialized in comprehensive topic analysis, research and content\nstructuring. Your task is to create an enriched, research-backed table of contents for a given topic.\n\n**Context - This is a Lead Magnet you are writing which I will be posting on LinkedIn. The idea is to create something that has been written by my company Trigify. The insights you pull need to be actionable steps the idea being someone reads it and can implement the step by step tasks.**\n\nFollow these steps:\n1. Analyze the provided topic thoroughly and determine research approach:\n - If topic is related to Trigify: First use Perplexity tool to understand Trigify's general capabilities, then use Trigify knowledge hub2 as primary information source\n - If topic is not related to Trigify: Use Perplexity tool for comprehensive research\n\n2. Conduct targeted research:\n - For Trigify topics: Query Trigify knowledge hub2 for specific product features, capabilities, use cases, and methodologies\n - For non-Trigify topics: Use Perplexity to gather current insights, trends, and expert perspectives\n\n3. Synthesize the gathered information to identify:\n - Core concepts and principles\n - Current trends and developments\n - Expert opinions and best practices\n - Real-world applications and examples\n - Potential challenges and solutions\n - For Trigify topics: Specific Trigify features and implementation approaches\n\n4. Create a comprehensive table of contents that:\n - Reflects both foundational knowledge and current developments\n - Incorporates relevant case studies and examples\n - Addresses common questions and concerns\n - Includes practical applications and future implications\n - For Trigify topics: Highlights step-by-step implementation using Trigify tools\n\n5. Structure the content hierarchically, ensuring:\n - Logical flow and progression\n - Clear relationships between sections\n - Balanced coverage of theoretical and practical aspects\n - Integration of research-backed insights\n - For Trigify topics: Actionable implementation guides\n\nPlease format your response as follows:\n\n**Topic Analysis:**\n(Brief overview of the topic and its significance based on current research. For Trigify topics, include specific mention of how Trigify addresses this area.)\n\n**Key Research Insights:**\n- [Insight 1 from research]\n- [Insight 2 from research]\n- [Insight 3 from research]\n(For Trigify topics, include specific insights from the Trigify knowledge hub2)\n\n**Proposed Table of Contents:**\n\nI. **Introduction**\n A. Topic Overview and Current Relevance \n B. Key Trends and Developments \n C. Why This Matters Now \n\nII. **Background and Context** \n A. Historical Development \n B. Fundamental Concepts \n C. Current State of the Field \n\nIII. **[Main Theme 1 from Research]** \n A. [Key Finding/Aspect] \n B. [Expert Perspectives] \n C. [Real-world Applications] \n\nIV. **[Main Theme 2 from Research]** \n A. [Key Finding/Aspect] \n B. [Case Studies] \n C. [Practical Implications] \n\n[Continue with additional research-ba2�>��iP7=^���h��B2�research on the subject as if someone was typing these questions or statements into a search engine in order to conduct research. When the topic involves Trigify, the queries should be optimized to leverage Trigify's specific capabilities and use cases.\n\n## Instructions\n\n1. **Analyze User Input**:\n - Identify the exact concepts or keywords in the user's topic\n - Determine if the topic mentions or relates to Trigify\n - Do NOT introduce new or tangential themes unless explicitly included in the user's topic\n\n2. **For Trigify-Related Topics**:\n - First call the Perplexity tool to gather general information about what Trigify does, its features, and typical use cases\n - Then call the Trigify knowledge hub2 to gather specific information about Trigify's capabilities relevant to the user's topic\n - Use this gathered information to craft more targeted and effective queries\n\n3. **Maintain Topic Focus**:\n - Avoid generalizing or substituting terms that alter the user's focus\n - If the user specifically mentions certain aspects of Trigify (e.g., \"booking meetings\"), keep that exact focus\n\n4. **Generate Queries**:\n - Create exactly five unique search queries\n - Each query should include:\n - The main keywords from the user's input\n - Minor variations or synonyms that preserve the same narrow focus\n - For Trigify topics: specific features, methodologies, or use cases discovered from the knowledge tools\n\n5. **Output Format**:\n - Return the final result as JSON:\n ```json\n {\n \"topic\": \"USER_INPUT_TOPIC\",\n \"searchQueries\": [\n \"QUERY_1\",\n \"QUERY_2\",\n \"QUERY_3\",\n \"QUERY_4\",\n \"QUERY_5\"\n ]\n }\n ```\n\n6. **Respect Research Scope**:\n - Stay within the user's desired research scope\n - For non-Trigify topics, avoid adding any reference to Trigify\n - For Trigify topics, ensure queries are relevant to creating effective lead magnets about Trigify's capabilities\n\n## Examples\n\n### Example 1 (Trigify-related)\n\n#### UserInput\nBuild a Lead Magnet on how you can use Trigify to book 30+ meetings per week\n\n#### Agent Process\n1. Identifies this is a Trigify-related topic\n2. Calls Perplexity tool to understand Trigify's basic functionality\n3. Calls Trigify knowledge hub2 to gather specific information about meeting booking features\n4. Crafts specialized queries focused on Trigify's meeting booking capabilities\n\n#### AgentOutput\n```json\n{\n \"topic\": \"Build a Lead Magnet on how you can use Trigify to book 30+ meetings per week\",\n \"searchQueries\": [\n \"Trigify outreach automation strategies for booking 30+ weekly meetings\",\n \"Trigify sequencing templates for high-volume meeting conversion\",\n \"Optimizing Trigify campaigns for maximum meeting bookings\",\n \"Trigify prospect targeting techniques for sales meeting generation\",\n \"Trigify analytics to improve meeting booking rates\"\n ]\n}\n```\n\n### Example 2 (Non-Trigify)\n\n#### UserInput\nquantum computing hardware\n\n#### AgentOutput\n```json\n{\n \"topic\": \"quantum computing hardware\",\n \"searchQueries\": [\n \"quantum computing hardware architecture\",\n \"latest developments in quantum processors\",\n \"superconducting qubits hardware advancements\",\n \"ion trap quantum computing devices\",\n \"scalability challenges quantum hardware research\"\n ]\n}\n```\n\n### Example 3 (Trigify-related)\n\n#### UserInput\nusing Trigify for LinkedIn outreach\n\n#### Agent Process\n1. Identifies this is a Trigify-related topic\n2. Uses knowledge tools to understand Trigify's LinkedIn capabilities\n3. Crafts specialized queries focused on Trigify's LinkedIn features\n\n#### AgentOutput\n```json\n{\n \"topic\": \"using Trigify for LinkedIn outreach\",\n \"searchQueries\": [\n \"Trigify LinkedIn connection request automation best practices\",\n \"Trigify personalization techniques for LinkedIn messaging\",\n \"Trigify campaign analytics for LinkedIn outreach optimization\",\n \"Trigify
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�gtableworkflow_entityworkflow_entitypCREATE TABLE "workflow_entity" ("id" varchar(36) PRIMARY KEY NOT NULL, "name" varchar(128) NOT NULL, "active" boolean NOT N�0�9IO�SindexIDX_d7a4aba7440449865e2b924377instance_ai_pending_confirmations-CREATE INDEX "IDX_d7a4aba7440449865e2b924377" ON "instance_ai_pending_confirmations" ("expiresAt") N�0a;indexsqlite_autoindex_instance_ai_checkpoints_1instance_ai_checkpoints��@�/;;�tableinstance_ai_checkpointsinstance_ai_checkpointsCREATE TABLE "instance_ai_checkpoints" ("key" varchar(255) PRIMARY KEY NOT NULL, "runId" varchar(255), "threadId" varchar NOT NULL, "resourceId" varchar(255), "state" text, "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "expiredAt" datetime(3), CONSTRAINT "instance_ai_checkpoints_state_tombstone_check" CHECK (("expiredAt" IS NOT NULL AND "state" IS NULL) OR "expiredAt" IS NULL), CONSTRAINT "FK_2b23f3f24a70bebb990203b011e" FOREIGN KEY ("threadId") REFERENCES "instance_ai_threads" ("id") ON DELETE CASCADE ON UPDATE NO ACTION)Z�*mGindexsqlite_autoindex_instance_ai_observation_locks_1instance_ai_observation_locks �4�8IO�[indexIDX_0babdf6e3b897a86fe4678355einstance_ai_pending_confirmations-CREATE INDEX "IDX_0babdf6e3b897a86fe4678355e" ON "instance_ai_pending_confirmations" ("checkpointKey") �-�7IO�MindexIDX_df5fd25c8bbfd2b042602600d8instance_ai_pending_confirmations-CREATE INDEX "IDX_df5fd25c8bbfd2b042602600d8" ON "instance_ai_pending_confirmations" ("userId") �/�6IO�QindexIDX_ba67ee8dc311830a2eea89b6e9instance_ai_pending_confirmations,�CREATE INDEX "IDX_ba67ee8dc311830a2eea89b6e9" ON "instance_ai_pending_confirmations" ("threadId") b�5uOindexsqlite_autoindex_instance_ai_pending_confirmations_1instance_ai_pending_confirmations�/�4OO�Ktableinstance_ai_pending_confirmationsinstance_ai_pending_confirmations CREATE TABLE "instance_ai_pending_confirmations" ("requestId" varchar(36) PRIMARY KEY NOT NULL, "threadId" varchar NOT NULL, "userId" varchar NOT NULL, "kind" varchar(16) NOT NULL, "runId" varchar(36) NOT NULL, "toolCallId" varchar(64), "messageGroupId" varchar(36), "checkpointKey" varchar(255), "checkpointTaskId" varchar(36), "expiresAt" datetime(3), "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), CONSTRAINT "CHK_instance_ai_pending_confirmations_kind" CHECK ("kind" IN ('suspended', 'inline')), CONSTRAINT "FK_ba67ee8dc311830a2eea89b6e96" FOREIGN KEY ("threadId") REFERENCES "instance_ai_threads" ("id") ON DELETE CASCADE, CONSTRAINT "FK_df5fd25c8bbfd2b042602600d8e" FOREIGN KEY ("userId") REFERENCES "user" ("id") ON DELETE CASCADE, CONSTRAINT "FK_0babdf6e3b897a86fe4678355eb" FOREIGN KEY ("checkpointKey") REFERENCES "instance_ai_checkpoints" ("key") ON DELETE CASCADE)��3I;�AindexIDX_be9d0eca0b19fb93d4eb74b327instance_ai_checkpoints�CREATE INDEX "IDX_be9d0eca0b19fb93d4eb74b327" ON "instance_ai_checkpoints" ("resourceId") ��2I;�=indexIDX_2b23f3f24a70bebb990203b011instance_ai_checkpoints2CREATE INDEX "IDX_2b23f3f24a70bebb990203b011" ON "instance_ai_checkpoints" ("threadId") ��1I;�7indexIDX_768189b506cc26c4fe878b87cbinstance_ai_checkpoints(CREATE INDEX "IDX_768189b506cc26c4fe878b87cb" ON "instance_ai_checkpoints" ("runId") 2B��iP7=�Bŗ�D� S�� ���^�S��~
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tableagent_filesagent_files+CREATE TABLE "agent_files" ("id" varchar(16) PRIMARY KEY NOT NULL, "agentId" varchar(36) NOT NULL, "binaryDataId" text NOT NULL, "fileName" varchar(255) NOT NULL, "mimeType" varchar(255) NOT NULL, "fileSizeBytes" integer NOT NULL, "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), CONSTRAINT "FK_aca4514cb500494b64356c2e164" FOREIGN KEY ("agentId") REFERENCES "agents" ("id") ON DELETE CASCADE):�DM'indexsqlite_autoindex_user_api_keys_3user_api_keys-:�CM'indexsqlite_autoindex_user_api_keys_2user_api_keys-:�BM'indexsqlite_autoindex_user_api_keys_1user_api_keys ԅJ�A''�Qtableuser_api_keysuser_api_keys �CREATE TABLE "user_api_keys" ("id" varchar(36) PRIMARY KEY NOT NULL, "userId" varchar NOT NULL, "label" varchar(100) NOT NULL, "apiKey" varchar NOT NULL, "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "scopes" text, "audience" varchar NOT NULL DEFAULT ('public-api'), "lastUsedAt" datetime(3), CONSTRAINT "UQ_1ef35bac35d20bdae979d917a36" UNIQUE ("apiKey"), CONSTRAINT "UQ_63d7bbae72c767cf162d459fccd" UNIQUE ("userId", "label"), CONSTRAINT "FK_e131705cbbc8fb589889b02d457" FOREIGN KEY ("userId") REFERENCES "user" ("id") ON DELETE CASCADE ON UPDATE NO ACTION)F�@Y3indexsqlite_autoindex_mcp_registry_server_1mcp_registry_serverM��?33�Ctablemcp_registry_servermcp_registry_server �CREATE TABLE "mcp_registry_server" ("slug" varchar(255) PRIMARY KEY NOT NULL, "status" varchar(50) NOT NULL, "version" varchar(50) NOT NULL, "registryUpdatedAt" datetime(3) NOT NULL, "data" text NOT NULL DEFAULT ('{}'), "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), CONSTRAINT "CHK_tmp_mcp_registry_server_status" CHECK ("status" IN ('active', 'deprecated')))�C�>U+�indexIDX_workflow_entity_sourceWorkflowIdworkflow_entity �CREATE INDEX "IDX_workflow_entity_sourceWorkflowId" ON "workflow_entity" ("sourceWorkflowId") WHERE "sourceWorkflowId" IS NOT NULL��=A+�Gtriggerworkflow_version_incrementworkflow_entityCREATE TRIGGER "workflow_version_increment" AFTER UPDATE ON "workflow_entity" FOR EACH ROW WHEN OLD."versionCounter" = NEW."versionCounter" AND (OLD."nodes" IS NOT NEW."nodes" OR OLD."settings" IS NOT NEW."settings") BEGIN UPDATE "workflow_entity" SET "versionCounter" = "versionCounter" + 1 WHERE "id" = NEW."id"; END��<I+
�%indexIDX_e10425f6ab9964c4c1623a4a03workflow_entity$CREATE INDEX "IDX_e10425f6ab9964c4c1623a4a03" ON "workflow_entity" ("name") >�;Q+indexsqlite_autoindex_workflow_entity_1workflow_entity-��:++
�gtableworkflow_entityworkflow_entitypCREATE TABLE "workflow_entity" ("id" varchar(36) PRIMARY KEY NOT NULL, "name" varchar(128) NOT NULL, "active" boolean NOT NULL, "nodes" text, "connections" text, "settings" text, "staticData" text, "pinData" text, "versionId" varchar(36) NOT NULL, "triggerCount" integer DEFAULT (0), "meta" text, "parentFolderId" varchar(36), "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "isArchived" boolean NOT NULL DEFAULT (FALSE), "versionCounter" integer NOT NULL DEFAULT (1), "description" text, "activeVersionId" varchar(36), "nodeGroups" text NOT NULL DEFAULT ('[]'), "sourceWorkflowId" varchar, CONSTRAINT "FK_04a4db5906fbc5606c71448d912" FOREIGN KEY ("parentFolderId") REFERENCES "folder" ("id") ON DELETE CASCADE ON UPDATE NO ACTION, CONSTRAINT "FK_08d6c67b7f722b0039d9d5ed620" FOREIGN KEY ("activeVersionId") REFERENCES "workflow_history" ("versionId") ON DELETE RESTRICT ON UPDATE NO ACTION)2f��iP7=bP�c&�% W�� d � D= v E��kW  � ��S��RI7�7indexIDX_f45d0535a2ed59b6c2dd6da98aagent_task_definition-CREATE INDEX "IDX_f45d0535a2ed59b6c2dd6da98a" ON "agent_task_definition" ("agentId") ��P77
�Otableagent_task_definitionagent_task_definitionCREATE TABLE "agent_task_definition" ("id" varchar(32) PRIMARY KEY NOT NULL, "agentId" varchar(36) NOT NULL, "name" varchar(128) NOT NULL, "objective" text NOT NULL, "cronExpression" varchar(128) NOT NULL, "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), CONSTRAINT "FK_f45d0535a2ed59b6c2dd6da98a0" FOREIGN KEY ("agentId") REFERENCES "agents" ("id") ON DELETE CASCADE)�,�M�-tableprojectproject�CREATE TABLE "project" ("id" varchar(36) PRIMARY KEY NOT NULL, "name" varchar(255) NOT NULL, "type" varchar(36) NOT NULL, "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "icon" text, "description" varchar(512), "creatorId" varchar, "customTelemetryTags" text NOT NULL DEFAULT ('[]'), CONSTRAINT "projects_creatorId_foreign" FOREIGN KEY ("creatorId") REFERENCES "user" ("id") ON DELETE SET NULL ON UPDATE NO ACTION)�*�J##�tablebinary_databinary_data�CREATE TABLE "binary_data" ("fileId" varchar PRIMARY KEY NOT NULL, "sourceType" varchar(50) NOT NULL, "sourceId" varchar(255) NOT NULL, "data" blob NOT NULL, "mimeType" varchar(255), "fileName" varchar(255), "fileSize" integer NOT NULL, "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), CONSTRAINT "CHK_binary_data_sourceType" CHECK ("sourceType" IN ('execution', 'chat_message_attachment', 'agent_file')))J�Q]7indexsqlite_autoindex_agent_task_definition_1agent_task_definition-� �OG+
�-indexIDX_shared_workflow_projectIdshared_workflowCREATE INDEX "IDX_shared_workflow_projectId" ON "shared_workflow" ("projectId") .�NAindexsqlite_autoindex_project_1project-��LI#�AindexIDX_56900edc3cfd16612e2ef2c6a8binary_dataHCREATE INDEX "IDX_56900edc3cfd16612e2ef2c6a8" ON "binary_data" ("sourceType", "sourceId") 6�KI#indexsqlite_autoindex_binary_data_1binary_dataׁ�GI#�=indexIDX_45dafc48fe2ce95eac30fc8ffdagent_files-CREATE INDEX "IDX_45dafc48fe2ce95eac30fc8ffd" ON "agent_files" ("agentId", "createdAt") 6�FI#indexsqlite_autoindex_agent_files_1agent_files,T##�
tableagent_filesagent_files+CREATE TABLE "agent_files" ("id" varchar(16) PRIMARY KEY NOT NULL, "agentId" b�XuOindexsqlite_autoindex_temporary_agent_execution_threads_1temporary_agent_execution_threads ���U33�=tableagent_task_run_lockagent_task_run_lock-$CREATE TABLE "agent_task_run_lock" ("agentId" varchar(36) NOT NULL, "taskId" varchar(32) NOT NULL, "holderId" varchar NOT NULL, "heldUntil" datetime(3) NOT NULL, "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), CONSTRAINT "FK_b57a2862ae869aab24e54cefd48" FOREIGN KEY ("agentId") REFERENCES "agents" ("id") ON DELETE CASCADE, PRIMARY KEY ("agentId", "taskId"))F�VY3indexsqlite_autoindex_agent_task_run_lock_1agent_task_run_lock-%��^�S33�atabl��E##�
tableagent_filesagent_files+CREATE TABLE "agent_files" ("id" varchar(16) PRIMARY KEY NOT NULL, "agentId" varchar(36) NOT NULL, "binaryDataId" text NOT NULL, "fileName" varchar(255) NOT NULL, "mimeType" varchar(255) NOT NULL, "fileSizeBytes" integer NOT NULL, "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), CONSTRAINT "FK_aca4514cb500494b64356c2e164" FOREIGN KEY ("agentId") REFERENCES "agents" ("id") ON DELETE CASCADE):�DM'indexsqlite_autoindex_user_api_keys_3user_api_keys-:�CM'indexsqlite_autoindex_user_api_keys_2user_api_keys-2|��iP7=ك&�+��� ��+ � �#F��nnn z �0


\>�VQ+indexsqlite_autoindex_agent_execution_1agent_execution �N�Ra;indexsqlite_autoindex_agent_execution_threads_1agent_execution_threads ��Y�O;;�Gtableagent_published_versionagent_published_version CREATE TABLE "agent_published_version" ("agentId" varchar(36) PRIMARY KEY NOT NULL, "schema" text, "publishedFromVersionId" varchar(36) NOT NULL, "model" varchar(128), "provider" varchar(128), "credentialId" varchar(36), "publishedById" varchar, "tools" text, "skills" text, "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), CONSTRAINT "FK_6e3d48c80859dffaf06bace8297" FOREIGN KEY ("agentId") REFERENCES "agents" ("id") ON DELETE CASCADE, CONSTRAINT "FK_fe29118f41ad56aa88ba4dd9bbe" FOREIGN KEY ("publishedById") REFERENCES "user" ("id") ON DELETE SET NULL)N�Pa;indexsqlite_autoindex_agent_published_version_1agent_published_version ��(�NY+�WindexIDX_agents_messages_threadId_createdAtagents_messages ~CREATE INDEX "IDX_agents_messages_threadId_createdAt" ON "agents_messages" ("threadId", "createdAt") ��MI+�GindexIDX_fc7bf858660bfafd19181e8e35agents_messages }CREATE INDEX "IDX_fc7bf858660bfafd19181e8e35" ON "agents_messages" ("threadId", "createdAt") ��K++�stableagents_messagesagents_messages xCREATE TABLE "agents_messages" ("id" varchar(36) PRIMARY KEY NOT NULL, "threadId" varchar(255) NOT NULL, "resourceId" varchar(255) NOT NULL, "role" varchar(36) NOT NULL, "type" varchar(36), "content" text NOT NULL, "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), CONSTRAINT "FK_0a8057a61afabd2999608ffd0d9" FOREIGN KEY ("threadId") REFERENCES "agents_threads" ("id") ON DELETE CASCADE)>�LQ+indexsqlite_autoindex_agents_messages_1agents_messages { ^ ��JI)�/indexIDX_54fa1b94f34a409beafae567a4agents_threads wCREATE INDEX "IDX_54fa1b94f34a409beafae567a4" ON "agents_threads" ("resourceId") <�IO)indexsqlite_autoindex_agents_threads_1agents_threads vn
m))�qtableagents_threadsagents_threads uCREATE TABLE "agents_threads" ("id" varchar(36) PRIMARY KEY NOT NULL, "resourceI��SI;�;indexIDX_0468a9dc35597314e641d4722aagent_execution_threads �CREATE INDEX "IDX_0468a9dc35597314e641d4722a" ON "agent_execution_threads" ("agentId") N�Ra;indexsqlite_autoindex_agent_execution_threads_1agent_execution_threads ��\�H))�qtableagents_threadsagents_threads uCREATE TABLE "agents_threads" ("id" varchar(36) PRIMARY KEY NOT NULL, "resourceId" varchar(255) NOT NULL, "title" varchar(255), "metadata" text, "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')))@�GS-indexsqlite_autoindex_agents_resources_1agents_resources t�;;�1tableagent_execution_threadsagent_execution_threads �CREATE TABLE "agent_execution_threads" ("id" varchar(36) PRIMARY KEY NOT NULL, "agentId" varchar(36) NOT NULL, "agentName" varchar(255) NOT NULL, "projectId" varchar(255) NOT NULL, "sessionNumber" integer NOT NULL DEFAULT (0), "totalPromptTokens" integer NOT NULL DEFAULT (0), "totalCompletionTokens" integer NOT NULL DEFAULT (0), "totalCost" real NOT NULL DEFAULT (0), "totalDuration" integer NOT NULL DEFAULT (0), "title" varchar(255), "emoji" varchar(8), "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), CONSTRAINT "FK_0468a9dc35597314e641d4722aa" FOREIGN KEY ("agentId") REFERENCES "agents" ("id") ON DELETE CASCADE, CONSTRAINT "FK_0e2f8bf92a7a9c88b89670f701c" FOREIGN KEY ("projectId") REFERENCES "project" ("id") ON DELETE CASCADE)2}��iP7=��]�%l�c q� c " �����LLL
�� � �^==�Qtableagents_observation_locksagents_observation_locks �CREATE TABLE "agents_observation_locks" ("scopeKind" varchar(20) NOT NULL, "sP�ac=indexsqlite_autoindex_agents_observation_locks_1agents_observation_locks ��T�_gAindexsqlite_��kI+
�%indexIDX_e10425f6ab9964c4c1623a4a03workflow_entitypCREATE INDEX "IDX_e10425f6ab9964c4c1623a4a03" ON "workflow_entity" ("name") >�jQ+indexsqlite_autoindex_workflow_entity_1workflow_entity և|�i++
�/tableworkflow_entityworkflow_entity$CREATE TABLE "workflow_entity" ("id" varchar(36) PRIMARY KEY NOT NULL, "name" varchar(128) NOT NULL, "active" boolean NOT NULL, "nodes" text, "connections" text, "settings" text, "staticData" text, "pinData" text, "versionId" varchar(36) NOT NULL, "triggerCount" integer DEFAULT (0), "meta" text, "parentFolderId" varchar(36), "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "isArchived" boolean NOT NULL DEFAULT (FALSE), "versionCounter" integer NOT NULL DEFAULT (1), "description" text, "activeVersionId" varchar(36), "nodeGroups" text NOT NULL DEFAULT ('[]'), CONSTRAINT "FK_08d6c67b7f722b0039d9d5ed620" FOREIGN KEY ("activeVersionId") REFERENCES "workflow_history" ("versionId") ON DELETE RESTRICT ON UPDATE NO ACTION, CONSTRAINT "FK_04a4db5906fbc5606c71448d912" FOREIGN KEY ("parentFolderId") REFERENCES "folder" ("id") ON DELETE CASCADE ON UPDATE NO ACTION)F�hY3indexsqlite_autoindex_mcp_registry_server_1mcp_registry_server �c33�ctablemcp_registry_servermcp_registry_server �CREATE TABLE "mcp_registry_server" ("id" integer PRIMARY KEY NOT NULL, "slug" varchar(255) NOT NULL, "status" varchar(50) NOT NULL, "version" varchar(50) NOT NULL, "registryUpdatedAt" datetime(3) NOT NULL, "data" text NOT NULL DEFAULT ('{}'), "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), CONSTRAINT "UQ_846d77f33b39a55738af446b58a" UNIQUE ("slug"), CONSTRAINT "CHK_mcp_registry_server_status" CHECK ("status" IN ('active', 'deprecated')))� �fG%�3indexIDX_insights_raw_timestamp_idinsights_raw �CREATE INDEX "IDX_insights_raw_timestamp_id" ON "insights_raw" ("timestamp", "id") ��dI+�GindexIDX_63d3c3a68b9cebf05f967f0b1cagent_execution �CREATE INDEX "IDX_63d3c3a68b9cebf05f967f0b1c" ON "agent_execution" ("threadId", "createdAt") >�cQ+indexsqlite_autoindex_agent_execution_1agent_execution ҈ �b++�Itableagent_executionagent_execution �CREATE TABLE "agent_execution" ("id" varchar(36) PRIMARY KEY NOT NULL, "threadId" varchar(36) NOT NULL, "status" varchar(16) NOT NULL, "startedAt" datetime(3), "stoppedAt" datetime(3), "duration" integer NOT NULL DEFAULT (0), "userMessage" text NOT NULL, "assistantResponse" text NOT NULL, "model" varchar(255), "promptTokens" integer, "completionTokens" integer, "totalTokens" integer, "cost" real, "toolCalls" text, "timeline" text, "error" text, "hitlStatus" varchar(16), "source" varchar(32), "createdAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), "updatedAt" datetime(3) NOT NULL DEFAULT (STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), CONSTRAINT "CHK_agent_execution_status" CHECK (("status" IN ('success', 'error'))), CONSTRAINT "CHK_agent_execution_hitlStatus" CHECK (("hitlStatus" IN ('suspended', 'resumed'))), CONSTRAINT "FK_add2432fb6034cc18b6af299dce" FOREIGN KEY ("threadId") REFERENCES "agent_execution_threads" ("id") ON DELETE CASCADE ON UPDATE NO ACTION)
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