Workflow Templates

n8n Forum Job Aggregator - AI-Powered Email Digest Overview Automate your n8n community job board monitoring with this intelligent workflow that scrapes, analyzes, and delivers opportunities straight to your inbox. Perfect for freelancers, agencies, and developers looking to stay on top of n8n automation projects without manual checking. How It Works Scrapes the n8n community job board to find new postings from the last 7 days Extracts key metadata including job titles, descriptions, posting dates, and client details Analyzes each listing using OpenRouter AI to generate concise summaries of project requirements and client needs Delivers a professionally formatted email digest with all opportunities organized and ready for review Prerequisites OpenRouter API Key**: Sign up at OpenRouter.ai to access AI summarization capabilities SMTP Email Account**: Gmail, Outlook, or any SMTP-compatible email service Setup Steps Time estimate: 5-10 minutes Configure OpenRouter Credentials Add your OpenRouter API key in n8n credentials manager Recommended model: GPT-3.5-turbo or Claude for cost-effective summaries Set Up SMTP Email Configure sender email address Add recipient email(s) for digest delivery Test connection to ensure delivery Customize Date Range (Optional) Default: Last 7 days of job postings Adjust the date filter node to match your preferred frequency Test & Refine Run a test execution Review email formatting and AI summary quality Customize HTML template styling to match your preferences Customization Options Scheduling**: Set up cron triggers (daily, weekly, or custom intervals) Filtering**: Add keyword filters for specific technologies or project types AI Prompts**: Modify the summarization prompt to extract different insights Email Design**: Customize HTML/CSS styling in the email template node Example Use Cases Freelance Developers**: Never miss relevant n8n automation opportunities Agencies**: Monitor market demand and competitor activity Job Seekers**: Track n8n-related positions and consulting gigs Market Research**: Analyze trends in automation project requests Example Output Each email digest includes: Job title and posting date AI-generated summary (e.g., "Client needs workflow automation for Shopify order processing with Slack notifications") Direct link to original posting Organized by recency

Automated project status tracking with Airtable and Motion Who's it for Project managers, team leads, and agencies who need to automatically monitor project completion status across multiple clients and send notifications when specific milestones are reached. What it does This workflow automatically tracks project progress by connecting Airtable project databases with Motion task management. It monitors specific tasks within active projects and triggers email notifications when key milestones are completed. The system is designed to handle multiple projects simultaneously and can be customized for various notification triggers. How it works The workflow follows a structured monitoring process: Data Retrieval: Fetches project information from Airtable (project names and Motion workspace IDs) Motion Integration: Connects to Motion API using HTTP requests to retrieve project details Project Filtering: Identifies only active projects with "Todo" status containing "SEO" in the name Task Monitoring: Checks for specific completed tasks (e.g., "Intégrer les articles de blog") Conditional Notifications: Sends email alerts only when target tasks are marked as "Completed" Database Updates: Updates Airtable with last notification timestamps Requirements Airtable account with project database Motion account with API access Gmail account for email notifications HTTP request authentication for Motion API How to set up Step 1: Configure your Airtable database Ensure your Airtable contains the following fields: Project names: Names of projects to monitor Motion Workspace ID: Workspace identifiers for Motion API calls Status - Calendrier éditorial: Project status field (set to "Actif" for active projects) Last sent - Calendrier éditorial: Timestamp tracking for notification frequency Email addresses: Client and team member contact information Step 2: Set up API credentials Configure the following authentication in n8n: Airtable Personal Access Token: For database access Motion API: HTTP header authentication for Motion integration Gmail OAuth2: For email notification sending Step 3: Configure Motion API integration Base URL: Uses Motion API v1 endpoints Project retrieval: Fetches projects using workspace ID parameter Task monitoring: Searches for specific task names and completion status Custom filtering: Targets projects with "SEO" in name and "Todo" status Step 4: Customize scheduling Default schedule: Runs daily between 10th-31st of each month at 8 AM Cron expression: 0 8 10-31 * * (modify as needed) Frequency options: Can be adjusted for weekly, daily, or custom intervals Step 5: Set up email notifications Configure Gmail settings: Recipients: Project managers, clients, and collaborators Subject line: Dynamic formatting with project name and month Message template: HTML-formatted email with professional signature Sender name: Customizable organization name How to customize the workflow Single project, multiple tasks monitoring To adapt for monitoring one project with several different tasks: Modify the filter conditions to target your specific project Add multiple HTTP requests for different task names Create conditional branches for each task type Set up different notification templates per task Multi-project customization Database fields: Add custom fields in Airtable for different project types Filtering logic: Modify conditions to match your project categorization Motion workspace: Support multiple workspaces per client Notification rules: Set different notification frequencies per project Alternative notification methods Replace or complement Gmail with: Slack notifications: Send updates to team channels Discord integration: Alert development teams SMS notifications: Urgent milestone alerts Webhook integrations: Connect to custom internal systems Teams notifications: Enterprise communication Task monitoring variations Multiple task types: Monitor different milestones (design, development, testing) Task dependencies: Check completion of prerequisite tasks Progress tracking: Monitor task progress percentages Deadline monitoring: Alert on approaching deadlines Conditional logic features Smart filtering system Active project detection: Only processes projects marked as "Actif" Date-based filtering: Prevents duplicate notifications using timestamp comparison Status verification: Confirms task completion before sending notifications Project type filtering: Targets specific project categories (SEO projects in this example) Notification frequency control Monthly notifications: Prevents spam by tracking last sent dates Conditional execution: Only sends emails when tasks are actually completed Database updates: Automatically records notification timestamps Loop management: Processes multiple projects sequentially Results interpretation Automated monitoring outcomes Project status tracking: Real-time monitoring of active projects Milestone notifications: Immediate alerts when key tasks complete Database synchronization: Automatic updates of notification records Team coordination: Ensures all stakeholders are informed of progress Email notification content Each notification includes: Project identification: Clear project name and context Completion confirmation: Specific task that was completed Calendar reference: Links to editorial calendars or project resources Professional formatting: Branded email template with company signature Action items: Clear next steps for recipients Use cases Agency project management Client deliverable tracking: Monitor when content is ready for client review Milestone notifications: Alert teams when phases complete Quality assurance: Ensure all deliverables meet completion criteria Client communication: Automated updates on project progress Editorial workflow management Content publication: Track when articles are integrated into websites Editorial calendar: Monitor content creation and publication schedules Team coordination: Notify writers, editors, and publishers of status changes Client approval: Alert clients when content is ready for review Development project tracking Feature completion: Monitor when development milestones are reached Testing phases: Track QA completion and deployment readiness Client delivery: Automate notifications for UAT and launch phases Team synchronization: Keep all stakeholders informed of progress Workflow limitations Motion API dependency: Requires stable Motion API access and proper authentication Single task monitoring: Currently tracks one specific task type per execution Email-only notifications: Default setup uses Gmail (easily expandable) Monthly frequency: Designed for monthly notifications (customizable) Project naming dependency: Filters based on specific naming conventions Manual configuration: Requires setup for each new project type or workspace

Transform chaotic employee departures into secure, insightful offboarding experiences - achieving zero security breaches, 100% equipment recovery, and actionable retention insights from every exit interview. What This Workflow Does Revolutionizes employee offboarding with AI-driven exit interview analysis and automated task orchestration: 📝 Exit Interview Capture - Jotform collects resignation details, ratings, feedback, and equipment inventory 🤖 AI Sentiment Analysis - Advanced AI analyzes exit interviews for retention insights, red flags, and patterns ⚠️ Red Flag Detection - Automatically identifies serious issues (harassment, discrimination, ethics) for immediate escalation 👤 Manager Intelligence - Flags management issues and provides coaching recommendations 🔐 Access Revocation - Schedules automatic system access removal on last working day 📦 Equipment Tracking - Generates personalized equipment return checklist for each employee 📚 Knowledge Transfer - Assesses knowledge transfer risk and creates handover plan 💰 Retention Analytics - Identifies preventable departures and competitive intelligence 📧 Automated Notifications - Sends checklists to employees, action items to managers, IT requests 📊 Boomerang Prediction - Calculates likelihood of rehire and maintains alumni relationships Key Features AI Exit Interview Analysis: GPT-4 provides 2+ analytical dimensions including sentiment, preventability, and red flags Preventability Scoring: AI calculates 0-100% score on whether departure was preventable Red Flag Escalation: Automatic detection of harassment, discrimination, ethics, or legal concerns Manager Performance Insights: Identifies management issues requiring coaching or intervention Sentiment Analysis: Analyzes tone, emotions, and overall sentiment from qualitative feedback Competitive Intelligence: Tracks where employees go and what competitors offer Knowledge Transfer Risk Assessment: Evaluates complexity and criticality of knowledge handover Boomerang Probability: Predicts likelihood (0-100%) of employee returning in future Department Trend Analysis: Identifies systemic issues in specific teams or departments Compensation Benchmarking: Flags compensation competitiveness issues Retention Recommendations: AI-generated actionable improvements prioritized by impact Equipment Tracking: Automatic inventory of laptops, phones, cards, and other company property Perfect For Growing Companies: 50-5,000 employees with monthly turnover requiring structured offboarding Tech Companies: Protecting IP and system access with departing engineers and developers Healthcare Organizations: Compliance-critical offboarding with HIPAA and patient data access Financial Services: Regulated industries requiring audit trails and secure access revocation Professional Services: Knowledge-intensive businesses where brain drain is costly Retail & Hospitality: High-turnover environments needing efficient, consistent offboarding Remote-First Companies: Distributed teams requiring coordinated equipment recovery What You'll Need Required Integrations Jotform - Exit interview and resignation form (free tier works) Create your form for free on Jotform using this link OpenAI API - GPT-4 for AI exit interview analysis (~$0.20-0.50 per exit interview) Gmail - Automated notifications to employees, managers, IT, and HR Google Sheets - Exit interview database and retention analytics Quick Start Import Template - Copy JSON and import into n8n Add OpenAI Credentials - Set up OpenAI API key (GPT-4 for best insights) Create Jotform Exit Interview - Build comprehensive form with these sections: Configure Gmail - Add Gmail OAuth2 credentials Setup Google Sheets: Create spreadsheet with "Exit_Interviews" sheet Replace YOUR_GOOGLE_SHEET_ID in workflow Columns will auto-populate on first submission Customization Options AI Prompt Refinement: Tailor analysis for your industry, company culture, and specific concerns Red Flag Categories: Customize what constitutes a red flag for your organization Equipment Types: Add specialized equipment (tools, uniforms, parking passes) Access Systems: Integrate with your specific IT systems for automated revocation Knowledge Transfer Templates: Create role-specific handover checklists Manager Notifications: Add more details based on department or seniority Exit Interview Questions: Add industry-specific or company-specific questions Retention Focus Areas: Adjust AI to focus on specific retention priorities Rehire Workflows: Add automatic alumni network invitations for boomerang candidates Severance Processing: Add nodes for severance agreement generation and tracking Reference Check Process: Include reference policy notifications Benefits COBRA: Automate COBRA benefits notification workflows Expected Results Zero security breaches from lingering access - automated revocation on last day 100% equipment recovery - automated tracking and follow-up 3x faster offboarding - 30 minutes vs 2 hours of manual coordination 85% actionable insights from exit interviews vs 20% with manual reviews 60% improvement in identifying preventable turnover 90% manager compliance with knowledge transfer (vs 40% manual) 50% reduction in repeat management issues through coaching identification 40% increase in boomerang rehires through positive offboarding experience Complete audit trail for legal compliance and investigations Department-level insights identifying systemic retention issues Use Cases Tech Startup (100 Employees, High Growth) Engineer resigns to join competitor. AI detects compensation issue (40% below market), flags manager micromanagement concerns, and identifies preventable departure (preventability: 85%). HR immediately initiates compensation review for engineering team, schedules manager coaching, and retains 3 other engineers considering leaving. Access to codebase revoked automatically on last day. Boomerang probability: 70% - maintains relationship for future recruiting. Healthcare System (500 Nurses) Nurse leaves citing burnout. AI identifies systemic staffing issues in ER department affecting 15% of departures. Flags potential HIPAA violation concern requiring investigation. Automatically revokes EHR access on final day. Equipment recovery (badge, pager, scrubs) tracked with 100% success. Exit insights lead to ER staffing model changes, reducing nurse turnover by 30%. Financial Services Firm Compliance officer departs. AI red flags potential ethics concern requiring immediate investigation. Legal team notified within minutes. Knowledge transfer flagged as "critical risk" due to regulatory expertise. Detailed 30-day handover plan auto-generated. All system access revoked immediately. Complete audit trail maintained for regulatory review. Investigation reveals process gap, not ethical issue, preventing regulatory exposure. Retail Chain (2,000 Employees) Store manager exits. AI aggregates insights across 50 recent retail departures, identifying district manager as common thread (manager rating consistently 2/5). Regional HR intervenes with district manager coaching. Equipment return (keys, registers codes, uniforms) automated via checklist. 95% equipment recovery vs previous 60%. Sentiment trends show seasonal staff prefer flexible scheduling - policy updated chain-wide. Remote Software Company Developer in different timezone resigns. Automated offboarding coordinates across 3 time zones: access revoked at EOD local time, equipment return label emailed internationally, knowledge transfer scheduled with overlap hours. AI detects "career growth" as preventable issue - company implements career ladder framework, reducing senior developer attrition by 45%. Pro Tips Timing Matters: Send Jotform link 1 week before last day for honest feedback (not on exit day) Anonymity Option: Consider anonymous feedback for more candid responses (separate form) Benchmark Scoring: After 50+ exits, calculate your company's average preventability score Manager Patterns: Track exits by manager to identify coaching needs early Department Trends: Monthly reviews of AI insights by department for systemic issues Compensation Data: Cross-reference "compensation issue" flags with market data Boomerang Program: Create formal alumni network for high-probability boomerang candidates Equipment Deposits: Consider requiring deposits for easier equipment recovery Exit Interview Training: Train managers on how to act on AI insights constructively Legal Review: Have legal team review red flag escalation categories quarterly Continuous Improvement: Use AI recommendations to create quarterly retention action plans Stay Interviews: Use exit interview insights to inform "stay interview" questions for current employees Learning Resources This workflow demonstrates advanced n8n automation patterns: AI Agents with complex structured output for multi-dimensional analysis, Sentiment analysis and natural language processing Conditional escalation based on severity and red flags Multi-stakeholder notifications with role-specific messaging Risk assessment algorithms for knowledge transfer and preventability Pattern recognition across qualitative feedback Equipment inventory management with dynamic list generation Compliance automation for access revocation scheduling Predictive analytics for boomerang probability Perfect for learning AI-powered HR automation and organizational analytics! 📊 Workflow Architecture 📝 Jotform Exit Interview Submission ↓ 🧾 Parse Offboarding Data ↓ 🤖 AI Exit Interview Analysis (GPT-4) │ ├─ Retention analysis (preventability scoring) │ ├─ Sentiment analysis (tone, emotions) │ ├─ Manager performance evaluation │ ├─ Department insights │ ├─ Compensation benchmarking │ ├─ Knowledge transfer risk assessment │ ├─ Competitor intelligence │ ├─ Red flag detection │ ├─ Boomerang probability │ └─ Action item generation ↓ 🔗 Extract AI Analysis (JSON) ↓ 🧩 Merge Exit Analysis with Data │ ├─ Calculate days until last day │ ├─ Build equipment checklist │ └─ Assess urgency levels ↓ ⚠️ Has Red Flags? ├─ TRUE → 🚨 Send Red Flag Alert (HR Director/Legal) │ ↓ └─ FALSE → 📧 Send Manager Action Items ↓ ✉️ Send Employee Checklist ↓ 🔐 Send IT Offboarding Request ↓ 📊 Log to Google Sheets Ready to transform employee offboarding? Import this template and turn departures into retention insights while maintaining security and professionalism. Every exit becomes a learning opportunity! 🚪✨ Questions or customization needs? The workflow includes detailed sticky notes explaining each AI analysis component and routing decision.

Description Automatically re-engage old or inactive clients by sending AI-personalized follow-up emails using Claude 3.7 Sonnet, Gmail, and Google Sheets — with smart reply detection to avoid messaging clients who are already in active conversation. What this workflow does This workflow runs every day on a schedule and processes your entire old client database automatically. For each client, it checks whether they've replied to any of your emails in the last 30 days. If they have, it pauses automation and flags that client for manual reply. If they haven't, it fetches their last 10 email conversations, pulls scenario-based AI prompts and follow-up message direction templates from your Google Sheet, feeds everything into Claude 3.7 Sonnet to draft a highly personalized re-engagement email, sends it via Gmail, and updates your tracking sheet — all without any manual intervention. Perfect for agencies and freelancers who have past clients sitting idle in their database and want a fully automated, intelligent outreach system that feels human, not spammy. Key Features Smart 30-day reply detection: Before sending any email, the workflow checks the client's most recent email timestamp. If they replied within the last 30 days, automation is skipped and the sheet is flagged as "Reply Manually" so your team knows to handle it personally. Scenario-based AI prompting: Each client in your sheet is tagged with a Scenario. The workflow pulls the exact AI prompt and follow-up message direction that matches that scenario from your Google Sheet, so Claude always writes from the right context and angle. Full conversation context for Claude: Instead of drafting blindly, Claude receives the last 10 email conversations with the client, their original goal when hiring your agency, the detailed reason their contract ended, their industry, industry vertical, and the specific services they used — resulting in emails that feel genuinely personalized. Structured email output: Claude outputs a properly structured JSON with subject line, greeting, body content, and closing — ensuring the email is always cleanly formatted before sending. Live Google Sheets tracking: After every email sent, the workflow increments the email count in your sheet and updates the workflow status, giving you a live dashboard of where each client stands in the re-engagement sequence. Rate limiting built-in: A 1-minute wait between each client prevents Gmail API rate limit errors and ensures smooth processing even for large client lists. Loop-based batch processing: Every client in your database is processed one by one in a controlled loop — no skipped records, no duplicates. How it works Step 1 — Daily trigger fires: The workflow runs automatically every day using a Schedule Trigger. No manual action needed. Step 2 — Loads client database: Reads all rows from the "Database" sheet in your Google Sheet where the "Manually Stop Workflow" column is not flagged, so already-stopped clients are excluded automatically. Step 3 — Loops through each client: Passes each client record one by one into the processing loop using the Split In Batches node. Step 4 — Checks latest email from client: Fetches the single most recent email from the client's address using Gmail's filter by sender. Step 5 — 30-day window check: A JavaScript code node calculates how many days ago that email was sent, checks if it falls within the last 30 days, and formats the date cleanly (e.g., 21-Mar-2026). Step 6 — Routes based on reply status: A Switch node branches the flow: If replied within 30 days → Updates sheet with "Reply Manually" status and the latest email content, then loops back to next client. If no recent reply → Continues to AI email generation path. Step 7 — Parallel data fetching: Three nodes run in parallel — fetching the scenario-specific follow-up message template, the situation-based AI prompt, and the last 10 email conversations with the client from Gmail. Step 8 — Bundles email history: All 10 fetched emails are aggregated into a single text bundle to be passed into Claude as conversation context. Step 9 — Merges all inputs: A Merge node combines the follow-up template, situation prompt, and email conversation bundle into one unified data object. Step 10 — AI drafts the email: Claude 3.7 Sonnet receives the full context — prompt, follow-up direction, conversation history, client's goal, reason for contract ending, industry details, and services used — and drafts a re-engagement email tailored specifically to that client. Step 11 — Structured output parsing: The output is parsed into a clean JSON structure with subject, greeting, content, and closing fields using a Structured Output Parser. Step 12 — Sends email via Gmail: The formatted email is sent directly from your Gmail account to the client. Step 13 — Updates sheet and loops: The "Number of Emails Sent" counter is incremented in your sheet, the workflow waits 1 minute for rate limiting, then loops back to process the next client. Setup Requirements Tools you'll need: Active n8n instance (self-hosted or n8n Cloud) Google Sheets with OAuth access for client database management Gmail account with OAuth credentials Anthropic API key (for Claude 3.7 Sonnet) Estimated setup time: 20–30 minutes Configuration Steps Add credentials in n8n: Google Sheets OAuth API Gmail OAuth2 API Anthropic API (for Claude 3.7 Sonnet) Set up your Google Sheet with these tabs: Tab 1 — Database (main client list) Client Name Email Address Scenario Number of Emails Sent Followup Workflow (Running / Reply Manually) Latest Email from Client Date of Latest Email from Client The goal which client wanted to achieve by hiring an agency Detailed Reason Why Contract Got Ended Client is from Industry of Client's Industry Vertical Specific services they used Manually Stop Workflow (STOP) Tab 2 — Follow-up Messages (message templates) Scenario Number of Emails Sent Followup Message Direction Tab 3 — Situation (AI prompts per scenario) Scenario Prompt Update the Google Sheet ID: Replace all instances of YOUR_GOOGLE_SHEET_ID in the workflow nodes with your actual Google Sheet ID. Update the send email address: In the "Send Re-engagement Email" node, replace YOUR_EMAIL@yourdomain.com with the Gmail address you want to send from. Fill your client database: Add all old/inactive clients with their details, scenario tags, and goals into the Database tab. Create your scenarios and templates: Fill the Follow-up Messages and Situation tabs with the re-engagement angles and AI prompt instructions relevant to your business. Activate the workflow: Turn it on and let it run daily automatically. Use Cases Marketing & digital agencies: Re-engage a full database of past clients who stopped using your services — automatically, every single day, with zero manual effort. Freelancers: Keep past clients warm by sending intelligent, personalized check-in emails based on what they originally hired you for and why they left. SaaS companies: Run structured win-back campaigns for churned users by mapping scenarios to different churn reasons and tailoring AI messages accordingly. Consultants: Maintain long-term relationships with former clients by sending contextually relevant follow-ups that reference their original goals and show how you've improved. Sales teams: Use the 30-day reply detection to automatically filter out recently responsive leads and focus AI outreach only on truly cold contacts in your pipeline. Customization Options Change the AI model: Swap Claude 3.7 Sonnet for any other Anthropic model or replace with OpenAI GPT-4 in the LLM node — the agent and parser work with any LangChain-compatible model. Adjust the reply detection window: Change the 30 in the Date Checker code node to any number of days that fits your follow-up cadence (e.g., 14 days for more aggressive outreach). Add more scenario types: Simply add new rows to your Follow-up Messages and Situation sheets — the workflow dynamically fetches matching templates so no node changes are needed. Modify email structure: Edit the Structured Output Parser schema to add or remove fields like a PS section, CTA button text, or custom signature block. Add notifications: Connect a Slack, Discord, or webhook node after the Send Email node to notify your team every time a re-engagement email goes out. Expand tracking: Add more columns to your Google Sheet update nodes (e.g., last sent date, email subject used) to build a richer outreach history. Troubleshooting Gmail not fetching emails: Confirm your Gmail OAuth credentials are correctly connected and the sender filter is using the exact email address format from your sheet. Make sure Gmail API access is enabled in your Google Cloud Console. Claude not generating emails: Verify your Anthropic API key is active and has sufficient credits. Check that the Merge node is receiving all 3 inputs before passing data to the AI agent. Sheet not updating: Ensure the Google Sheets OAuth token has edit permissions on your spreadsheet. Confirm the "Email Address" column is set as the matching key in all update nodes. Emails sending to wrong address: Double-check that the sendTo field in the Send Email node is pointing to YOUR_EMAIL@yourdomain.com or the correct dynamic field reference. Loop not processing all clients: If some clients are being skipped, check the filter in the Old Client Database node — make sure the "Manually Stop Workflow (STOP)" column filter is only excluding rows where the value is explicitly set. Rate limit errors on Gmail: Increase the wait time in the Rate Limit Wait node from 1 minute to 2–3 minutes if you have a large client list or are hitting Gmail's sending limits. Resources n8n Documentation Anthropic Claude API Gmail API Reference Google Sheets API n8n LangChain Agent Node Important Notes This workflow is designed specifically for re-engagement outreach to past or inactive clients. It does not handle inbound replies — once a client responds, the workflow flags them for manual handling and stops automation for that contact. Make sure your Google Sheet is properly structured with all required columns before activating, as missing fields will cause the AI prompt to be incomplete and affect email quality. Always test with a small batch of 2–3 clients first before activating at full scale. Support Need help setting this up or want a custom version built for your specific use case? 📧 Email: info@isawow.com 🌐 Website: https://isawow.com/

Zendesk New Ticket → WooCommerce Order Matching, Tagging & Email Automation Automatically enrich Zendesk tickets with WooCommerce order details and reduce manual lookups. This workflow listens for new Zendesk tickets, fetches the ticket requester’s details, retrieves recent WooCommerce orders, matches them by customer email and updates the ticket with order information and relevant tags. If a matching order is marked as completed, it also sends a confirmation email to the customer. Quick Implementation Steps Connect Zendesk, WooCommerce and Gmail credentials in n8n. Import the workflow JSON and review node credentials. Adjust the WooCommerce order fetch limit if needed. Activate the workflow. That’s it — new tickets will now automatically include order context. What It Does This workflow bridges the gap between customer support and order management by linking Zendesk tickets with WooCommerce orders. When a new ticket is created, the workflow retrieves the requester’s profile to identify their email address, which is then used to find related orders in WooCommerce. Because direct email-based filtering is not available in the WooCommerce node, the workflow fetches the latest five orders and performs email matching internally within n8n. This ensures accurate matching while working around platform limitations. Once a matching order is found, the workflow extracts essential details such as order number, status, currency and purchased items. It updates the Zendesk ticket with a private internal note and applies clear order-status-based tags. If the order is marked as completed, the workflow also sends a confirmation email to the customer. Who’s It For Customer support teams using Zendesk and WooCommerce E-commerce businesses handling frequent order-related inquiries Support managers aiming to reduce manual order lookups Teams that want faster, more consistent ticket responses Requirements to Use This Workflow An active Zendesk account with API access A WooCommerce store with REST API credentials A Gmail account (OAuth2) for sending customer emails An active n8n instance Permission to update tickets and users in Zendesk How It Works & How To Set Up Workflow Logic Overview Trigger on New Ticket The workflow starts when a new Zendesk ticket is created with status new. Fetch Ticket Requester Details The requester’s user profile is retrieved to obtain their email address. Fetch Recent WooCommerce Orders The workflow retrieves the latest five orders from WooCommerce. Match Customer Email Each order’s billing email is compared with the Zendesk requester’s email. Only matching orders continue through the workflow. Generate Zendesk Tags Order status is evaluated and mapped to meaningful Zendesk tags. Prepare Ticket Update Payload Order details and tags are formatted for the Zendesk update. Update Zendesk Ticket A private internal note is added to the ticket, along with order-related tags. Check for Completed Orders If the order status is completed, the workflow proceeds to send an email. Send Confirmation Email The customer receives a confirmation email with their order details. Setup Instructions Update credentials in all Zendesk, WooCommerce and Gmail nodes. Review the WooCommerce order fetch limit (default: 5). Verify the email comparison logic in the IF node. Activate the workflow once testing is complete. How To Customize Nodes WooCommerce – Fetch Recent Orders** Increase or decrease the limit value to control how many recent orders are checked. Match Customer Email (IF Node)** Modify comparison logic (for example, make it case-insensitive). Generate Zendesk Tags (Code Node)** Add or change tags based on custom order statuses. Zendesk – Update Ticket** Customize the internal note format or add additional fields. Send Order Confirmation Email** Edit the email content or disable this node if emails are not required. Add-ons (Additional Features) SLA-based ticket prioritization Shipment tracking number enrichment Refund and cancellation detection Slack or Microsoft Teams notifications Extended reporting using Zendesk tags Use Case Examples Automatically attaching order details to “Where is my order?” tickets Speeding up refund or replacement requests Reducing agent time spent switching between Zendesk and WooCommerce Applying consistent order-status tags for analytics Sending proactive confirmation emails for completed orders There are many more possible use cases depending on how this workflow is extended or customized. Troubleshooting Guide | Issue | Possible Cause | Solution | |------|---------------|----------| | No order found | Customer used a different email | Ask the customer to confirm the checkout email | | Wrong order matched | Order not in recent fetch range | Increase the WooCommerce order fetch limit | | No email sent | Order status is not completed | Confirm order status or customize the IF condition | | Ticket not updated | Zendesk permission issue | Verify API credentials and scopes | | Tags missing | Code node not triggered | Check order status logic in the Code node | Need Help? If you need help setting up this workflow, customizing nodes or building additional automation, WeblineIndia is here to support you. Our team specializes in n8n workflow automation, Zendesk integrations and WooCommerce process optimization. Whether you want to extend this workflow or build a similar solution tailored to your business, feel free to reach out to WeblineIndia for expert assistance.

Who is this for? This template is designed for B2B sales teams, recruiters, and business development professionals who want to identify sales opportunities by monitoring hiring signals from target companies. It's particularly useful for: Sales teams selling HR tech, recruitment software, or staffing services Consultancies offering technical talent or project-based work Any B2B company that uses "intent data" from job postings to time their outreach What this workflow does This workflow automates the entire process of monitoring job postings and converting hiring signals into actionable sales leads: Daily Job Scraping: Automatically scrapes job postings from Google Jobs, LinkedIn, and Indeed for your target companies using Apify actors Data Normalization: Standardizes job data from multiple sources into a unified format Keyword Filtering: Filters jobs based on your target keywords to identify relevant opportunities AI-Powered Analysis: Uses GPT-4o to analyze each qualified job posting and generate: Inferred pain points from the hiring signal Strategic sales approach angles Urgency scoring (1-10) Ready-to-send cold email drafts Slack Notifications: Sends real-time alerts with AI insights to your sales channel Weekly Reports: Generates comprehensive trend analysis reports every Monday with AI-powered insights Setup Google Sheets: Create a spreadsheet with 4 sheets: Target Companies (columns: Company Name, Target Keywords, My Solution) Raw Jobs (for all scraped jobs) Qualified Leads (for filtered opportunities) Weekly Reports (for trend analysis) Apify: Set up accounts and get Actor IDs for: Google Jobs Scraper LinkedIn Jobs Scraper Indeed Scraper Credentials: Connect your Google Sheets, Slack, Gmail, OpenAI, and Apify credentials Configuration: Update the placeholder values in the workflow for your specific IDs and channel names Requirements n8n instance (self-hosted or cloud) Apify account with credits OpenAI API key (GPT-4o access) Google Sheets access Slack workspace (optional, for notifications) Gmail account (optional, for email reports) Customization Adjust maxJobsPerSource and daysToCheck in the Configuration node Modify AI prompts to match your sales style and language preferences Add or remove job sources based on your needs Customize Slack message format and notification triggers

Introduction Automate peer review assignment and grading with AI-powered evaluation. Designed for educators managing collaborative assessments efficiently. How It Works Webhook receives assignments, distributes them, AI generates review rubrics, emails reviewers, collects responses, calculates scores, stores results, emails reports, updates dashboards, and posts analytics to Slack. Workflow Template Webhook → Store Assignment → Distribute → Generate Review Rubric → Notify Slack → Email Reviewers → Prepare Response → Calculate Score → Store Results → Check Status → Generate Report → Email Report → Update Dashboard → Analytics → Post to Slack → Respond to Webhook Workflow Steps Receive & Store: Webhook captures assignments, stores data. Distribute & Generate: Assigns peer reviewers, AI creates rubrics. Notify & Email: Alerts via Slack, sends review requests. Collect & Score: Gathers responses, calculates peer scores. Report & Update: Generates reports, emails results, updates dashboard. Analyze & Alert: Posts analytics to Slack, confirms completion. Setup Instructions Webhook & Storage: Configure endpoint, set up database. AI Configuration: Add OpenAI key, customize rubric prompts. Communication: Connect Gmail, Slack credentials. Dashboard: Link analytics platform, configure metrics. Prerequisites OpenAI API key Gmail account Slack workspace Database or storage system Dashboard tool Use Cases University peer review assignments Corporate training evaluations Research paper assessments Customization Multi-round review cycles Custom scoring algorithms Benefits Eliminates manual distribution Ensures consistent evaluation

Quick Overview This workflow monitors Gmail for new unread emails, uses Google Gemini to classify each email’s intent, then creates Gmail draft replies and Slack alerts for questions/requests, escalates complaints with Slack and Google Tasks, and logs FYI and spam activity to Google Sheets. How it works Triggers when a new unread email arrives in Gmail. Extracts the sender, subject, body text, and message ID, then bundles incoming emails for batch processing. Sends the bundled emails to Google Gemini to classify each message as Question, Request, Complaint, FYI, or Spam and to generate the required action payloads. Parses Gemini’s JSON response, splits it back into one item per email, and routes each email by its classified intent. For Question or Request emails, creates a Gmail draft reply, posts a Slack notification with a preview, and logs the action to Google Sheets. For Complaint emails, posts an urgent Slack alert, creates a high-priority follow-up in Google Tasks, and logs the action to Google Sheets. For FYI and Spam emails, skips external actions and logs the outcome to Google Sheets. Setup Connect credentials for Gmail OAuth2, Google Gemini (PaLM) API, Slack OAuth2, Google Sheets OAuth2, and Google Tasks OAuth2. Update the Gmail trigger settings and mailbox access to match the account and unread-email behavior you want to monitor. Set the target Google Sheets document and ensure it has columns for Timestamp, Email ID, Sender, Subject, Intent, and Action. Select the Slack channels for general notifications and urgent complaint alerts. Choose the Google Tasks list and update the task list ID used for complaint follow-ups.

Stay ahead in your job search with this Automated Job Intelligence System! This workflow scans company career pages daily for new job listings, uses AI to analyze job relevance and seniority levels, and sends personalized email alerts for high-priority opportunities while maintaining a comprehensive job database. Perfect for job seekers, recruiters, and career coaches tracking ideal opportunities across target companies. What This Template Does Triggers daily at 9 AM to scan for new job opportunities. Retrieves company URLs from Google Sheets database. Uses Decodo scraper to extract job listings from career pages. Analyzes job data with AI to identify company names and positions. Converts job data into individual listing items for processing. Compares new jobs against existing database to filter duplicates. Uses AI to assign relevance scores, seniority levels, and tech stack analysis. Filters high-relevance jobs (score >8/10) for priority alerts. Stores all new jobs in Google Sheets for historical tracking. Sends personalized email alerts for high-relevance opportunities. Key Benefits Automated daily scanning of target company career pages AI-powered relevance scoring and job matching Duplicate prevention to avoid redundant notifications Comprehensive job database for tracking and analysis Personalized alerts for high-priority opportunities Time-saving automation for job search activities Features Daily automated scheduling for consistent monitoring AI-powered job extraction and data structuring Decodo web scraping for reliable career page access Intelligent relevance scoring and seniority analysis Duplicate detection and filtering Google Sheets integration for job tracking Personalized email alerts for premium opportunities Multi-company monitoring capability Historical job data maintenance Requirements Decodo API credentials for web scraping OpenAI API credentials for AI analysis Google Sheets OAuth2 credentials with edit access Gmail OAuth2 credentials for email alerts Slack Bot Token for error notifications (optional) Environment variables for configuration settings Target Audience Job seekers and career changers Recruitment and talent acquisition teams Career coaches and placement agencies HR professionals monitoring competitor hiring Technology professionals tracking market opportunities University career services and placement offices Step-by-Step Setup Instructions Connect Decodo API credentials for career page scraping Set up OpenAI credentials for job relevance analysis Configure Google Sheets with company URLs and job tracking sheets Add Gmail credentials for personalized job alerts Optional: Set up Slack for error notifications Populate company URLs in your Google Sheets database Test with sample companies to verify job extraction and analysis Customize relevance thresholds for your job preferences Activate for daily automated job intelligence monitoring Pro Tip: Use coupon code "YARON" to get 23K requests for testing (in Decodo) This workflow transforms your job search with automated intelligence, smart filtering, and personalized opportunity alerts!

AI-Powered Lead Qualification using Zoho CRM, People Data Labs, and Google Gemini This workflow automatically checks Zoho CRM every 5 minutes for newly created leads, enriches each lead using People Data Labs, evaluates its quality using Google Gemini (LLM Chain) and updates the lead status in Zoho CRM as Qualified or Not Qualified. Qualified leads trigger an automated Gmail notification to the sales team. Quick Start Setup Add Zoho CRM OAuth credentials. Add your People Data Labs API key. Add your Google Gemini (PaLM) LLM API credentials. Add Gmail OAuth credentials and set your recipient email. Activate the workflow. Create a test lead and verify enrichment → scoring → update → email. What It Does This workflow serves as an automated AI-driven lead qualification engine. Every 5 minutes, it fetches leads from Zoho CRM, filters newly created ones, enriches them using People Data Labs and scores them via Google Gemini. Based on the AI-generated score, the workflow updates the lead status and optionally sends an email notification. Who’s It For Sales teams using Zoho CRM SDR/Marketing automation teams Agencies performing automated lead pre-qualification Businesses with high inbound lead volume Anyone wanting AI-powered CRM automation via n8n Requirements n8n instance Zoho CRM OAuth credentials People Data Labs API key (can use another service , modify accordingly) Google Gemini API credentials Gmail OAuth credentials Zoho fields: Company, Email, First_Name, Last_Name, Created_Time, Lead_Status How It Works & Setup Steps Step 1: Run every 5 minutes via Schedule Trigger Triggers the workflow and computes a timestamp window. Step 2: Fetch Zoho leads Retrieves all leads from Zoho CRM. Step 3: Filter newly created leads Compares Created_Time with timestamp from previous run. Step 4: Extract website field Extract the website field, Used for People Data Labs enrichment API for search about that company. Step 5: Enrich via People Data Labs Adds company size, industry, founding year, etc. Step 6: Score using Google Gemini LLM produces a JSON response: summary, score, factors. Step 7: Update CRM status IF score > 80 → Qualified Else → Not Qualified Step 8: Send Gmail notification Send gmail notifications to sales team, Only for Qualified leads - informs that this Lead is marked as Qualified Leads Customization Adjust score threshold in IF node Edit email recipients in Gmail node Modify AI prompt in LLM Chain Change 3rd party api for enrichment, if required Modify PDL parameters Change Zoho CRM fields Add‑Ons Slack notifications Google Sheets logging Auto-create Deals in Zoho Add CRM notes Owner reassignment Tagging Use Case Examples Automated B2B lead scoring High-intent lead notifications CRM hygiene automation Enriched lead analytics SDR productivity boost Troubleshooting Guide | Issue | Cause | Solution | |-------|--------|----------| | No new leads detected | Timestamp mismatch | Validate “Compute Last Check” logic | | No enrichment data | Empty website / invalid API key | Check PDL credentials & website value | | AI output invalid | Prompt overwritten | Restore original prompt | | CRM update fails | Wrong leadId mapping | Confirm Zoho lead ID | | Gmail errors | OAuth expired | Reconnect Gmail credentials | | No qualified leads | Score too strict | Lower IF threshold | Need Help? WeblineIndia can help with workflow customization, advanced automations, CRM integrations and AI-driven business processes. Contact us for expert assistance.

Transform your fleet operations from paper-based chaos to intelligent automation - achieving 40% reduction in breakdowns, 100% inspection compliance, and predictive maintenance that saves thousands in repair costs. What This Workflow Does Revolutionizes fleet management with AI-driven vehicle inspections and predictive maintenance: 📝 Digital Inspections - Jotform captures daily vehicle checks with photos, mileage, and comprehensive checklists 🤖 AI Condition Analysis - Advanced AI Agent evaluates vehicle condition, safety ratings, and maintenance needs ⚠️ Smart Prioritization - Automatically flags critical issues (brakes, safety concerns, DOT compliance) 🔧 Maintenance Routing - Routes issues to appropriate shop teams with detailed work orders 📊 Predictive Maintenance - Tracks mileage thresholds and predicts upcoming service needs ✉️ Automated Notifications - Sends alerts to maintenance teams and confirmation to drivers 📈 Compliance Tracking - Monitors DOT inspections, registrations, and annual certifications 💰 Cost Management - Estimates repair costs and tracks downtime to optimize fleet budget 📋 Complete Documentation - Logs all inspections to Google Sheets for audits and analytics Key Features AI-Powered Vehicle Assessment: GPT-4 analyzes inspection data across 10+ components with safety ratings (0-100) Critical Issue Detection: Automatic identification of safety concerns, DOT violations, and immediate action items Mileage-Based Scheduling: Tracks oil changes, tire rotations, brake inspections with automated reminders Compliance Management: Monitors annual inspections, DOT certifications, and registration expiries Work Order Generation: Creates detailed maintenance orders with instructions, parts needed, and cost estimates Driver Performance Tracking: Evaluates vehicle care quality and identifies training needs Predictive Analytics: Forecasts upcoming maintenance based on usage patterns and vehicle age Emergency Routing: Critical issues trigger immediate alerts to maintenance supervisors Photo Documentation: Captures damage and odometer photos for insurance and warranty claims Real-Time Fleet Status: Tracks operational, out-of-service, and maintenance-required vehicles Cost Estimation: AI-generated repair cost ranges and downtime predictions DOT Audit Ready: Complete inspection logs formatted for regulatory compliance Perfect For Commercial Fleet Operators: Delivery companies, logistics firms managing 10-500+ vehicles Transportation Companies: Trucking fleets requiring DOT compliance and safety standards Service Businesses: Plumbing, HVAC, electrical companies with service vehicle fleets Government Fleets: Municipal vehicles, police departments, public works departments Rental Car Companies: Daily inspections and damage documentation for rental fleets Construction Companies: Heavy equipment and vehicle maintenance tracking Food Delivery Services: High-mileage vehicles requiring frequent inspections Ride-Share Fleet Managers: TNC vehicles needing daily safety checks What You'll Need Required Integrations Jotform - Digital inspection form with photo upload (free tier works) Create your form for free on Jotform using this link OpenAI API - GPT-4 for AI vehicle analysis (~$0.15-0.40 per inspection) Gmail - Automated notifications to maintenance teams and drivers Google Sheets - Inspection database, maintenance tracking, and compliance logs Optional Enhancements Twilio - SMS alerts for critical issues and driver notifications Google Calendar - Automated maintenance scheduling QuickBooks - Expense tracking and repair cost management Fleet Management Software - Integration with Geotab, Samsara, or Fleetio Zapier - Additional integration bridges for specialty systems Google Drive - Photo backup and document storage Maintenance Software - Connect to shop management systems Telematics Integration - Real-time mileage and diagnostics data Quick Start Import Template - Copy JSON and import into n8n Add OpenAI Credentials - Set up OpenAI API key (GPT-4 recommended for accuracy) Create Jotform - Build vehicle inspection form with these essential fields: Driver Info: Name, Email Vehicle Details: Vehicle ID, Make, Model, Year, License Plate Mileage: Current Odometer Reading Fuel Level: Dropdown (Full, 3/4, 1/2, 1/4, Empty) Inspection Checklist: Dropdowns for each component (Good, Fair, Poor, Needs Immediate Attention) Tires Brakes Lights (headlights, taillights, turn signals) Fluid Levels (oil, coolant, brake fluid) Engine Transmission Interior Condition Exterior Condition Issues: Yes/No dropdown + Long text for description Photos: File upload for damage photos and odometer photo Cleanliness Rating: 1-5 star rating Driver Notes: Textarea for additional comments Configure Gmail - Add Gmail OAuth2 credentials for notifications Setup Google Sheets: Create new spreadsheet for fleet tracking Add sheet named "Inspections" Replace YOUR_GOOGLE_SHEET_ID in the workflow Google Sheets will auto-populate columns on first run Customization Options AI Prompt Refinement: Tailor analysis for specific vehicle types (trucks, vans, sedans, heavy equipment) Custom Maintenance Intervals: Adjust service schedules based on manufacturer recommendations Multi-Location Support: Route work orders to different shop locations based on vehicle assignment Priority Escalation: Add manager approval workflows for expensive repairs Driver Training Module: Track recurring issues per driver and generate training recommendations Seasonal Adjustments: Different inspection criteria for winter/summer (tire tread, AC, heating) Vehicle Categories: Separate workflows for passenger vehicles, trucks, specialty equipment Cost Approval Thresholds: Require manager sign-off for repairs over $X amount Parts Inventory Integration: Check parts availability before scheduling maintenance Vendor Management: Route different issue types to specialized vendors Mobile Optimization: Design Jotform specifically for mobile/tablet use in vehicles Offline Mode: Enable Jotform offline submissions for areas with poor connectivity Expected Results 40% reduction in breakdowns - Predictive maintenance catches issues early 100% inspection compliance - Digital tracking eliminates missed checks 24-hour turnaround on maintenance scheduling vs days of manual coordination 30% cost savings - Preventive maintenance avoids expensive emergency repairs 60% faster inspections - Digital forms take 5 minutes vs 15+ for paper Zero lost paperwork - All inspections digitally stored and searchable 85% better DOT audit results - Complete, organized documentation 50% reduction in vehicle downtime - Proactive maintenance scheduling 95% driver compliance - Easy mobile forms increase participation Real-time fleet visibility - Instant status of all vehicles Pro Tips QR Code Access: Place QR codes in each vehicle linking directly to that vehicle's inspection form Pre-Fill Vehicle Data: Use Jotform conditional logic to auto-fill vehicle details when driver enters Vehicle ID Photo Requirements: Make damage and odometer photos mandatory for compliance Daily Reminders: Set up automated daily email/SMS reminders for drivers to complete inspections Seasonal Checklists: Adjust inspection criteria seasonally (winter: tire tread/battery; summer: AC/coolant) Benchmark Analysis: After 100+ inspections, analyze AI accuracy and refine the prompt with real examples Driver Training: Use AI driver performance ratings to identify training needs Telematics Integration: Connect to vehicle GPS/diagnostics for automatic mileage updates Parts Pre-Ordering: Use predictive maintenance to pre-order common parts before needed Maintenance History: Track vehicle-specific patterns (e.g., Vehicle #12 always needs brake work) Incentive Programs: Reward drivers with best vehicle care ratings Mobile-First Design: Ensure Jotform works perfectly on phones - most inspections done on mobile Learning Resources This workflow demonstrates advanced n8n automation: AI Agents with structured JSON output for reliable vehicle assessment Conditional routing based on criticality and safety ratings Database lookups for vehicle maintenance history Predictive analytics using mileage thresholds and time intervals Multi-recipient notifications with role-based messaging Compliance tracking with automatic deadline monitoring Cost estimation algorithms for budget planning Photo handling for documentation and insurance claims Error handling with fallback assessments Perfect for learning fleet operations automation and AI integration! 📊 Workflow Architecture 📝 Jotform Daily Inspection ↓ 🧾 Parse Inspection Data ↓ 📊 Get Vehicle History │ ├─ Last service dates │ ├─ Mileage calculations │ └─ Compliance deadlines ↓ 🤖 AI Fleet Analysis (GPT-4) │ ├─ Condition assessment │ ├─ Safety rating (0-100) │ ├─ Critical issue detection │ ├─ Maintenance recommendations │ ├─ Cost estimation │ ├─ DOT compliance check │ └─ Work order generation ↓ 🔗 Extract & Merge AI Analysis ↓ ⚡ Critical Issue Check ├─ TRUE → 🚨 Critical Alert Email (Maintenance) └─ FALSE → 📋 Routine Report Email (Maintenance) ↓ ✉️ Driver Confirmation Email │ ├─ Inspection received │ ├─ Vehicle status │ ├─ Maintenance scheduled │ └─ Safety notices ↓ 📊 Log to Google Sheets └─ Inspection database └─ Audit trail └─ Analytics data 🔐 Compliance & Security Ready to transform your fleet management? Import this template and eliminate breakdowns, ensure compliance, and save thousands in maintenance costs through AI-powered predictive maintenance! 🚗✨ Questions or customization needs? The workflow includes detailed sticky notes explaining each component and decision point.

Video → Newsletter AI Agent This n8n workflow converts a YouTube video into a polished, email-ready newsletter. It scrapes the transcript, extracts a thumbnail/logo and brand color theme, uses multiple AI agents to (1) clean & summarize the transcript into three newsletter sections, (2) convert that content into a styled HTML newsletter (color-aware), then saves the draft to Google Sheets and sends the email to subscribers via Gmail. The flow is optimized for batch sending and brand-consistent HTML output. How it works (step-by-step) Trigger — On form submission accepts Brand Name, Brand Website, and YouTube video link. Site scrape & colour study — HTTP requests + Information Extractor → AI agent derives brand color theme (primary/secondary/accent/background). Transcript retrieval — Two YouTube transcript scrapers (Apify acts) fetch the video transcript and thumbnail; a small Code node merges transcript chunks. Summarization & journalism — AI Agent2 (LangChain/Gemini) cleans the transcript, extracts thesis + key points, and writes 3 newsletter sections in a journalistic tone. HTML conversion — Convert Newsletter to HTML (AI) agent applies the fixed layout and injects only text color variables (keeps layout intact) and outputs Subject + HTML body (≤1000 words). Aggregate & merge — Merge + Aggregate assemble files, assets, and parsed outputs. Save & send — Save the email draft to Google Sheets (Save Newsletter Draft in Google Sheet) and loop through subscribers from a subscribers sheet; Sending Emails to all the Subscribers (Gmail node) sends the HTML to each address in batches. Batching & looping — Split In Batches handles large subscriber lists; Loop Over Items triggers the HTML-conversion per recipient batch. Quick Setup Guide 👉 Demo & Setup Video 👉 Sheet Template 👉 Course Nodes of interest On form submission (formTrigger) — entry point for video + brand inputs. You Tube Transcript Scraper, You Tube Transcript Scraper1 (HTTP Request → Apify) — transcript + thumbnail fetching. Information Extractor & AI Agent1 — website color/theme extraction. Code in JavaScript — merges transcript pieces into a single text payload. AI Agent2 (LangChain agent + Gemini Chat Model) — transcript → journalist-style newsletter sections. Convert Newsletter to HTML (AI) (LangChain agent + Structured Output Parser) — builds constrained, brand-aware HTML email and subject. Structured Output Parser1/2 — enforce schemas for color theme / structured outputs. Get row(s) in sheet & Save Newsletter Draft in Google Sheet (Google Sheets) — subscriber list + draft storage. Loop Over Items / Split In Batches — batch processing for sends. Sending Emails to all the Subscribers (Gmail) — SMTP/OAuth send. OpenRouter Chat Model — LM compute provider configured in the workflow. What you’ll need (credentials & resources) Google Sheets OAuth2 (for reading subscribers & saving drafts). Gmail OAuth2 (for sending HTML emails). Gemini / LLM provider credentials (Gemini API key or equivalent) for the LangChain agents. Apify API key (for the YouTube transcript scrapers). ConvertAPI (or similar) key if you convert logos (SVG→PNG) server-side. Host storage / publicly accessible URLs for images (thumbnails, logos) or a file-store (S3). Optional: SendGrid / Mailgun credentials if you swap Gmail for a transactional email provider. Security note: do NOT hardcode credentials in node parameters; use n8n credentials manager or environment variables. Recommended settings & best practices Batch size & rate-limits:** set Split In Batches to a conservative batch size (e.g., 50–200) and add delays between batches to avoid provider rate limits and Gmail throttling. Retries & timeouts:** enable retries for HTTP Request nodes and set sensible timeouts (e.g., 30–60s). Use exponential backoff. LM controls:** set token/response length limits and max_output_tokens (or equivalent) to avoid runaway costs; enforce the 1000-word HTML hard limit in the prompt. Validation:** validate the YouTube URL and that transcript content exists before invoking AI summarization (fail fast with a clear error). Schema enforcement:** use Structured Output Parser nodes with strict JSON schemas to prevent malformed outputs. Testing:** run with a small subscriber test sheet and use a safety test Gmail account before sending to production lists. Logging & monitoring:** log each run (video URL, subject, send count, errors) to a monitoring sheet or external logging service. Privacy & compliance:** ensure recipients have consent to receive emails (store opt-ins); include unsubscribe handling if you move beyond one-off sends. Comply with CAN-SPAM / local laws. Credential rotation:** rotate API keys periodically and revoke compromised tokens. Content safety:** instruct the LM agents to avoid hallucinated citations — only include links you can verify. Customization ideas Multi-language support: auto-detect video language and run summarizer in that language. A/B subject testing: generate 2–3 subject lines and send variations to subsets. Scheduling: add a scheduler node to delay sends or publish at optimal send-times per recipient timezone. Integrate with SendGrid/Mailgun for higher throughput and analytics (opens/clicks). Add personalization tokens (first name, company) from subscribers sheet to the HTML (merge fields). Auto-attach transcript as plain-text footer or include “Read more” link to a hosted full article. Add analytics: record opens, clicks, and engagement back into Google Sheets or a database. Support other platforms: ingest videos from Vimeo, Loom, or uploaded MP4s. Use a templating engine to allow multiple newsletter layouts and style variants. Auto-generate social posts (Twitter/X, LinkedIn) from the newsletter summary. Tags n8n newsletter youtube transcript langchain gemini apify gmail google-sheets html-email automation batching ai content-ops