Workflow Templates

How it works This workflow automatically monitors multiple websites using AI-powered analysis and MCP (Model Context Protocol) tools. The system runs scheduled checks, analyzes website performance and security using browser-tools-mcp and mcp-recon servers, categorizes issues by severity (critical, warning, info), sends appropriate alerts through Slack and email, and logs all findings to Google Sheets for historical tracking and trend analysis. Who is this for DevOps engineers, website administrators, system monitors, digital agencies, and technical teams responsible for maintaining multiple websites. Perfect for organizations that need automated website health monitoring with intelligent analysis, comprehensive security checks, and immediate alerting for critical issues. Requirements MCP Servers**: Browser-tools-mcp and mcp-recon servers running locally or remotely OpenAI API**: API key for AI-powered website analysis Google Sheets**: Spreadsheet with "Websites" and "Monitoring Log" sheets Slack Integration**: Slack workspace with webhook or bot token for alerts Email Configuration**: SMTP settings for critical email notifications Environment Variables**: Secure storage for all credentials and endpoints How to set up Install and Configure MCP Servers - Set up browser-tools-mcp and mcp-recon servers, configure endpoints in environment variables (MCP_BROWSER_TOOLS_URL, MCP_RECON_URL) Prepare Google Sheets Integration - Create spreadsheet with "Websites" sheet (URL column) and "Monitoring Log" sheet, set GOOGLE_SHEET_ID environment variable Configure Notification Systems - Set up Slack webhook/bot and email SMTP settings, configure SLACK_CHANNEL, ALERT_EMAIL, FROM_EMAIL variables Customize Monitoring Parameters - Update Configuration Variables node with your monitoring thresholds, batch sizes, and website lists How to customize the workflow Modify the Configuration Variables node to adjust monitoring thresholds (response times, performance scores), change batch processing sizes, update notification preferences, or add additional websites to monitor. Customize alert severity rules in the Alert Severity Router and modify notification templates in the Slack and Email nodes.

SEO Anchor Text Generator with n8n and Claude AI Generate optimized SEO anchor texts for internal linking using AI automation. This workflow processes your website pages and creates diverse, SEO-compliant anchor variations automatically. Who's it for SEO specialists managing large websites with extensive internal linking needs Content managers looking to automate anchor text creation for better search rankings Digital marketers seeking to optimize internal linking strategies at scale Web agencies handling multiple client websites with SEO requirements What it does This workflow automatically generates 10 unique SEO anchor texts with 3-5 linguistic variations each (40-50 total variations per page) using Claude AI. It analyzes your page content, applies advanced SEO criteria, and creates diverse anchor types including exact match, brand anchors, long-tail keywords, contextual phrases, and call-to-action variants. How it works The system connects to your Google Sheets document containing page information, filters pages needing anchor generation, processes each page individually through Claude AI, and updates your spreadsheet with generated anchor texts. The workflow ensures semantic relevance, keyword optimization, natural language flow, and linguistic diversity while avoiding over-optimization penalties. Requirements Google Sheets with OAuth2 authentication configured in n8n Anthropic API key for Claude AI model access Template spreadsheet with proper column structure (Page, URL, Description, Anchors) Pages must have URL and description but empty anchor fields to trigger processing How to set up Step 1: Prepare Your Data Duplicate the template spreadsheet: https://docs.google.com/spreadsheets/d/1VNl8xLYgRrNcKrmN9hCdfov1dMnwD44tAALJZAlagCo Fill in your page information in the "Anchor" sheet: Page: Name/title of your page (can use hierarchical levels Niv 0-3) URL: Complete URL of the page Description: Brief description of page content to help AI generate relevant anchors Leave the "Anchors" column empty for pages needing anchor generation Step 2: Configure n8n Credentials Set up Google Sheets OAuth2: Go to n8n credentials settings Add new Google Sheets OAuth2 API credential Follow OAuth flow to authenticate with Google Test connection with your spreadsheet Configure Anthropic API: Obtain API key from Anthropic Console Add new Anthropic API credential in n8n Enter your API key and test connection Step 3: Import and Activate Workflow Import the workflow from the provided JSON Update credential references to match your configured credentials Test the Chat Trigger webhook to ensure it's accessible Activate the workflow in n8n Step 4: Execute the Workflow Send a chat message with your Google Sheets URL to trigger the workflow Monitor execution through n8n interface to track progress Check your spreadsheet for automatically generated anchor texts Review and customize generated anchors as needed for your content How to customize the workflow Modify AI Prompt Instructions Update the "Générateur d'ancres" node prompt to: Change the number of anchor variations generated Adjust SEO criteria and anchor types Modify linguistic variation requirements Customize language style and tone Add specific industry terminology Adjust Data Processing Customize the "Filter" node conditions to: Change criteria for pages requiring anchor generation Add additional validation rules Modify column names to match your spreadsheet structure Enhance Output Formatting Modify the "Import Sheets" code node to: Change data transformation logic Add additional processing steps Customize how results are formatted for Google Sheets Include timestamp or processing metadata Scale for Large Datasets Optimize the "Loop Over Items" batch processing: Adjust batch sizes for better performance Add error handling for failed API calls Implement retry logic for robustness Add progress tracking mechanisms Integration Extensions Extend functionality by adding nodes for: Slack notifications when processing completes Email reports with generation statistics Integration with content management systems Automated content publishing with generated anchors Advanced Customization Tips Language Adaptation: Modify the AI prompt for different languages by adjusting linguistic variation rules Industry Specialization: Add domain-specific terminology and SEO best practices to the prompt Quality Control: Implement additional filtering to review generated anchors before updating sheets Analytics Integration: Connect with Google Analytics to prioritize high-traffic pages for anchor generation Content Integration: Add nodes to automatically insert generated anchors into CMS or static site generators

🔗 Automated Blockchain Transaction Audit System Transform your blockchain compliance workflow with this enterprise-grade automation that monitors transactions across Ethereum and Solana networks, automatically generates professional audit reports, and maintains complete documentation trails. 🚀 What This Workflow Does This comprehensive automation system: 📊 Multi-Chain Monitoring**: Real-time transaction tracking for Ethereum (via Alchemy API) and Solana networks 🤖 AI-Powered Risk Analysis**: Intelligent scoring algorithm that evaluates transaction risk (0-100 scale) 📄 Automated PDF Generation**: Professional audit reports created instantly using APITemplate.io ☁️ Cloud Storage Integration**: Seamless uploads to Google Drive with organized folder structure 📋 Database Management**: Automatic Notion database entries for complete audit trail tracking 📧 Smart Notifications**: Multi-channel alerts to finance teams with detailed transaction summaries 🔒 Compliance Verification**: Built-in KYC/AML checks and regulatory compliance monitoring 💼 Perfect For FinTech Companies** managing blockchain transactions DeFi Protocols** requiring audit documentation Enterprise Finance Teams** handling crypto compliance Blockchain Auditors** automating report generation Compliance Officers** tracking regulatory requirements 🛠 Key Integrations Alchemy API** - Ethereum transaction monitoring Solana RPC** - Native Solana network access APITemplate.io** - Professional PDF report generation Google Drive** - Secure cloud document storage Notion** - Comprehensive audit database Email/SMTP** - Multi-recipient notification system Etherscan/Solscan** - Smart contract verification ⚡ Technical Highlights 10 Optimized Nodes** with parallel processing capabilities Sub-30 Second Processing** for complete audit cycles Enterprise Security** with credential management Error Handling** with automatic retry mechanisms Scalable Architecture** supporting 1000+ transactions/hour Risk Scoring Algorithm** with customizable parameters 📊 Business Impact 80% Cost Reduction** in manual audit processes 95% Error Elimination** through automation 100% Compliance Coverage** with immutable audit trails 70% Time Savings** for finance teams 🔧 Setup Requirements Before using this workflow, ensure you have: Alchemy API key for Ethereum monitoring APITemplate.io account with audit report template Google Drive service account with folder permissions Notion workspace with configured audit database SMTP credentials for email notifications Etherscan API key for contract verification 📈 Use Cases Transaction Compliance Monitoring**: Automatic flagging of high-risk transactions Regulatory Reporting**: Scheduled audit report generation for authorities Internal Auditing**: Complete documentation for financial reviews Risk Management**: Real-time scoring and alert systems Multi-Chain Portfolio Tracking**: Unified reporting across blockchain networks 🎯 Why Choose This Workflow This isn't just another blockchain monitor - it's a complete document management ecosystem that transforms raw blockchain data into professional, compliant documentation while maintaining enterprise-grade security and scalability. Perfect for organizations serious about blockchain compliance and audit trail management! 🚀 🔄 Workflow Process Webhook Trigger receives blockchain event Parallel Monitoring queries Ethereum & Solana networks AI Processing analyzes transaction data and calculates risk Document Generation creates professional PDF audit reports Multi-Channel Distribution uploads to Drive, logs in Notion, sends notifications Verification & Response confirms all processes completed successfully Ready to automate your blockchain compliance? Import this workflow and transform your audit processes today! ✨

Title (suggested): Extract business card data from Telegram to Google Sheets Who’s it for Teams that receive business cards digitally (sales, marketing, back-office) and want a plug-and-play way to capture contacts into a sheet without manual typing. What it does / How it works This workflow ingests a business card sent to your Telegram bot, detects whether the message contains an image or text, extracts key fields with an AI Vision Agent (company, full name, department, job title, postal code, address, phone, mobile, fax, email, website), and appends or updates a contact row in Google Sheets automatically. How to set up Connect Telegram (bot token) and enable file download. Connect your AI provider (OpenRouter or equivalent) used by the AI Vision Agent. Connect Google Sheets and select your spreadsheet + sheet tab. Rename nodes clearly and keep sticky notes: one overview note (this description) + step notes. Test by sending a sample card image to your bot and verify the row is appended/updated. Requirements Telegram Bot API credential AI chat/vision credential Google Sheets OAuth credential and an accessible spreadsheet How to customize the workflow Map fields to your sheet headers (add/remove columns as needed). Adjust the system prompt to prefer your locale or specific field formats. Change the matching key for update logic (e.g., company name or email). Add downstream steps (CRM push, dedupe rules, notifications). Security note: Do not hardcode API keys or include real IDs/emails. Use credentials and environment configs only. JSON [ { "company_name": "Example Company Ltd.", "department": "Sales", "job_title": "Sales Manager", "full_name": "Taro Yamada", "postal_code": "100-0001", "address": "1-1-1 Marunouchi, Chiyoda-ku, Tokyo", "phone_number": "+81-3-0000-0000", "mobile_phone_number": "+81-90-0000-0000", "fax_number": "+81-3-1111-1111", "email": "example@company.com", "website_url": "https://example.com" } ] Troubleshooting Nothing appears in Google Sheets Solution: Verify that your Google Sheets credentials are correctly authorized. Confirm the Spreadsheet ID and Sheet Name in the node match your target file. Make sure the Google Sheets node is connected downstream of the AI Vision Agent. If the workflow runs successfully but nothing is added, check whether the matching column (company_name) already exists — in appendOrUpdate mode it will only update that row. AI returns incomplete or invalid data Solution: Review the system prompt in the AI Vision Agent to ensure it instructs the model to return a structured JSON object with all required fields (company name, full name, department, job title, address, etc.). If the result is partial, verify the image quality of the uploaded business card — low contrast or skewed images can reduce OCR accuracy. You can reduce temperature in the AI node to make output more deterministic. Workflow doesn’t start automatically Solution: Check that the workflow is activated (toggle is ON in the top right of n8n). Verify the Webhook URL is correctly registered in Telegram’s bot settings. Run manually once to ensure all credentials and nodes are configured correctly.

AI Personal Assistant Telegram Bot Template Description Transform your Telegram into a powerful AI-powered personal assistant that manages your calendar, sends daily schedules, searches the web, and accesses your contacts - all through simple text messages. What This Template Does This workflow creates an intelligent Telegram bot that serves as your personal assistant, capable of: Daily Schedule Management**: Automatically checks your Google Calendar and emails you a formatted daily schedule summary Intelligent Conversations**: Uses OpenAI GPT-4o-mini with conversation memory for natural interactions Web Research**: Searches Wikipedia and the web using SerpAPI for any questions you have Contact Management**: Accesses your Google Sheets contact database to find email addresses and information Email Automation**: Sends emails on your behalf using Gmail integration Calendar Integration**: Reads and manages your Google Calendar events Target Users Busy Professionals** who need quick access to their schedule and want to automate daily planning Small Business Owners** who want an AI assistant for managing contacts and communications Personal Productivity Enthusiasts** who want to streamline their daily workflow Anyone** who prefers text-based interaction over switching between multiple apps Key Features ✅ Multi-Tool AI Agent: Combines Wikipedia, web search, calendar, email, and contacts in one interface ✅ Conversation Memory: Remembers context across multiple interactions ✅ Automatic Daily Scheduling: Proactive daily schedule emails ✅ Contact Intelligence: Automatically finds contact information before sending emails ✅ Telegram Integration: Works through the familiar Telegram interface Use Cases "What's on my schedule today?" → Receives formatted email with daily agenda "Send an email to John about the meeting" → Finds John's email and sends message "What's the weather in Paris?" → Gets current weather information via web search "Tell me about quantum computing" → Provides Wikipedia information "Schedule a meeting with Sarah tomorrow at 2 PM" → Creates calendar event Prerequisites Before setting up this template, you'll need accounts and API access for: Telegram Bot** (free via @BotFather) OpenAI API** (paid service) Google Calendar API** (free) Gmail API** (free) Google Sheets API** (free) SerpAPI** (freemium web search) Setup Instructions 1. Create Telegram Bot Message @BotFather on Telegram Use /newbot command and follow instructions Save your bot token for later 2. Set Up Google APIs Go to Google Cloud Console Create a new project or select existing Enable Google Calendar, Gmail, and Sheets APIs Create OAuth2 credentials Download credentials JSON file 3. Get API Keys OpenAI: Visit platform.openai.com, create API key SerpAPI: Sign up at serpapi.com, get API key 4. Configure Credentials in n8n Add Telegram Bot credentials using your bot token Set up Google OAuth2 for Calendar, Gmail, and Sheets Add OpenAI API credentials Add SerpAPI credentials 5. Customize the Workflow Update Calendar ID: Replace a________@gmail.com with your calendar Set Google Sheets ID: Replace the sheet ID with your contacts spreadsheet Modify System Message: Update the AI agent's instructions to match your preferences Adjust Memory Settings: Configure conversation memory window as needed 6. Test the Setup Activate the workflow Message your Telegram bot Verify all integrations are working Customization Options Change AI Model**: Switch between OpenAI models (GPT-3.5, GPT-4, etc.) Adjust Memory**: Modify conversation memory window length Add More Tools**: Integrate additional services like Notion, Slack, or weather APIs Modify Schedule**: Change when daily schedule emails are sent Customize Responses**: Update the system message to change assistant personality Important Notes Privacy**: This bot has access to your calendar, contacts, and email - ensure proper security API Costs**: OpenAI and SerpAPI usage will incur costs based on usage Rate Limits**: Be aware of API rate limits for each service Security**: Use environment variables for sensitive credentials Troubleshooting Bot not responding**: Check Telegram credentials and webhook configuration Calendar access issues**: Verify Google Calendar API permissions Email not sending**: Confirm Gmail API scopes include send permissions Memory not working**: Check that session keys are properly configured Support For issues with this template, check: n8n Community Forum Individual API service documentation Google Cloud Console for API errors OpenAI usage dashboard for model issues

How it works 🧠 AI-Powered News Update Bot for Zalo using Gemini and RSS Feeds This workflow allows you to build a smart Zalo chatbot that automatically summarizes and delivers the latest news using Google Gemini and RSS feeds. It’s perfect for keeping users informed with AI-curated updates directly inside Vietnam’s most popular messaging app. 🚀 What It Does Receives user messages via Zalo Bot webhook Fetches the latest articles from an RSS feed (e.g., AI news) Summarizes the content using Google Gemini Formats the response and sends it back to the user on Zalo 📱 What Is Zalo? Zalo is Vietnam’s leading instant messaging app, with over 78 million monthly active users—more than 85% of the country’s internet-connected population. It handles 2 billion messages per day and is deeply embedded in Vietnamese daily life, making it a powerful channel for communication and automation. 🔧 Setup Instructions 1. Create a Zalo Bot Open the Zalo app and search for "Zalo Bot Creator" Tap "Create Zalo Bot Account" Your bot name must start with "Bot" (e.g., Bot AI News) After creation, Zalo will send you a message containing your Bot Token 2. Configure the Webhook Replace [your-webhook URL] in Zalo Bot Creator with your n8n webhook URL Use the Webhook node in this workflow to receive incoming messages 3. Set Up Gemini Add your Gemini API key to the HTTP Request node labeled Summarize AI News Customize the prompt if you want a different tone or summary style 4. Customize RSS Feed Replace the default RSS URL with your preferred news source You can use any feed that provides timely updates (e.g., tech, finance, health) 🧪 Example Interaction User: "What's new today?" Bot: "🧠 AI Update: Google launches Gemini 2 with multimodal capabilities, revolutionizing how models understand text, image, and code..." ⚠️ Notes Zalo Bots currently do not support images, voice, or file attachments Make sure your Gemini API key has access to the model you're calling RSS feeds should be publicly accessible and well-formatted 🧩 Nodes Used Webhook HTTP Request (Gemini) RSS Feed Read Set & Format Zalo Message Sender (via API) 💡 Tips You can swap Gemini with GPT-4 or Claude by adjusting the API call Add filters to the RSS node to only include articles with specific keywords Use the Function node to personalize responses based on user history Built by Nguyen Thieu Toan (Nguyễn Thiệu Toàn) (https://nguyenthieutoan.com). Read more about this workflow by Vietnamese: https://nguyenthieutoan.com/share-workflow-n8n-zalo-bot-cap-nhat-tin-tuc/

Overview Automate AI content creation from request to approval. While AI writes quickly, human review often delays delivery—and multiple tools create workflow gaps and version confusion. This unified solution streamlines the entire process, enabling teams to produce quality content at scale with transparent tracking. How it works Submit a form with your topic, tone, and keywords. GPT-4o generates the content and assigns a quality score (0–100). The reviewer receives an email to approve, edit, or reject the draft—all actions are automatically logged in Google Sheets for tracking and audit purposes. Setup steps Import the workflow JSON file into n8n Connect your OpenAI and Google account credentials Update three variables in the workflow: SHEET_ID (your Google Sheets document ID), REVIEWER_EMAIL (recipient for review notifications), and WEBHOOK_URL (for form submissions) Test the workflow with a sample submission Workflow Stages Submit a form with topic, tone, and keywords. GPT-4o generates content and assigns a quality score (0–100). Reviewer receives an email to approve, edit, or reject the draft. All review actions are automatically logged in Google Sheets with timestamps and approval status. Requirements n8n v1.0+ instance, OpenAI API key with GPT-4o access, and Google Workspace with OAuth2 credentials. Custom options Choose model: gpt-4o, 4o-mini, or 3.5-turbo. Adjust score weights: Readability 40%, Keywords 30%, Length 30%. Key benefits Generate drafts 99% faster and approve content 95% quicker. Centralized tracking ensures clarity and accountability.

This n8n template demonstrates how to automate blog post creation with AI and WordPress This workflow is designed for creators who want to maintain an active blog without spending hours writing — while still taking advantage of SEO benefits. It connects OpenAI and WordPress to help you schedule AI-generated posts or create content from simple one- or two-word prompts. 🧠 Good to know At the time of writing, each AI-generated post will use your OpenAI API credits according to your model and usage tier. This workflow requires an active WordPress site with API access and your OpenAI API key. Setup is quick — in less than 5 minutes, you can have everything running smoothly! ⚙️ How it works The workflow connects to your WordPress API and your OpenAI account. You can choose between two modes: Scheduled mode: AI automatically creates and publishes posts based on your defined schedule. Prompt mode: Enter a short phrase (one or two words) and let AI generate a complete SEO-optimized post. The generated content is formatted and published directly to your WordPress blog. You can easily customize prompts, post styles, or scheduling frequency to match your brand and goals. 🚀 How to use Start with the Manual Trigger node (as an example) — or replace it with other triggers such as webhooks, cron jobs, or form submissions. Adjust your OpenAI prompts to fine-tune the tone, structure, or SEO focus of your posts. You can also extend this workflow to automatically share posts on social media or send notifications when new articles go live. ✅ Requirements Active OpenAI API key WordPress site** with API access 🧩 Customising this workflow AI-powered content creation can be adapted for many purposes. Try using it for: Automated content calendars Generating product descriptions Creating newsletter drafts Building SEO-focused blogs effortlessly

This workflow automates the process of monitoring multiple RSS feeds, intelligently identifying new articles, maintaining a record of processed content, and delivering timely notifications to a designated Slack channel. It leverages AI to ensure only truly new and relevant articles are dispatched, preventing duplicate alerts and information overload. 🚀 Main Use Cases Automated News Aggregation:** Continuously monitor industry news, competitor updates, or specific topics from various RSS feeds. 📈 Content Curation:** Filter and deliver only new, unprocessed articles to a team or personal Slack channel. 🎯 Duplicate Prevention:** Maintain a persistent record of seen articles to avoid redundant notifications. 🛡️ Enhanced Information Delivery:** Provide a streamlined and intelligent way to stay updated without manual checking. 📧 How it works The workflow operates in distinct, interconnected phases to ensure efficient and intelligent article delivery: 1. RSS Feed Data Acquisition 📥 Initiation:** The workflow is manually triggered to begin the process. 🖱️ RSS Link Retrieval:** It connects to a Baserow database to fetch a list of configured RSS feed URLs. 🔗 Individual Feed Processing:** Each RSS feed URL is then processed independently. 🔄 Content Fetching & Parsing:** An HTTP Request node downloads the raw XML content of each RSS feed, which is then parsed into a structured JSON format for easy manipulation. 📄➡️🌳 2. Historical Data Management 📚 Seen Articles Retrieval:** Concurrently, the workflow queries another Baserow table to retrieve a comprehensive list of article GUIDs or links that have been previously processed and notified. This forms the basis for duplicate detection. 🔍 3. Intelligent Article Filtering with AI 🧠 Data Structuring for AI:** A Code node prepares the newly fetched articles and the list of already-seen articles into a specific JSON structure required by the AI Agent. 🏗️ AI-Powered Filtering:** An AI Agent, powered by an OpenAI Chat Model and supported by a Simple Memory component, receives this structured data. It is precisely prompted to compare the new articles against the historical "seen" list and return only those articles that are genuinely new and unprocessed. 🤖 Output Validation:** A Structured Output Parser ensures that the AI Agent's response adheres to a predefined JSON schema, guaranteeing data integrity for subsequent steps. ✅ JSON Cleaning:** A final Code node takes the AI's raw JSON string output, parses it, and formats it into individual n8n items, ready for notification and storage. 🧹 4. Notification & Record Keeping 🔔 Persistent Record:** For each newly identified article, its link is saved to the Baserow "seen products" table, marking it as processed and preventing future duplicate notifications. 💾 Slack Notification:** The details of the new article (title, content, link) are then formatted and sent as a rich message to a specified Slack channel, providing real-time updates. 💬 Summary Flow: Manual Trigger → RSS Link Retrieval (Baserow) → HTTP Request → XML Parsing | Seen Articles Retrieval (Baserow) → Data Structuring (Code) → AI-Powered Filtering (AI Agent, OpenAI, Memory, Parser) → JSON Cleaning (Code) → Save Seen Articles (Baserow) → Slack Notification 🎉 Benefits: Fully Automated:** Eliminates manual checking of RSS feeds and Slack notifications. ⏱️ Intelligent Filtering:** Leverages AI to accurately identify and deliver only new content, avoiding duplicates. 💡 Centralized Data Management:** Utilizes Baserow for robust storage of RSS feed configurations and processed article history. 🗄️ Real-time Alerts:** Delivers timely updates directly to your team or personal Slack channel. ⚡ Scalable & Customizable:** Easily adaptable to monitor various RSS feeds and integrate with different Baserow tables and Slack channels. ⚙️ Setup Requirements: Baserow API Key:** Required for accessing and updating your Baserow databases. 🔑 OpenAI API Key:** Necessary for the AI Agent to function. 🤖 Slack Credentials:** Either a Slack OAuth token (recommended for full features) or a Webhook URL for sending messages. 🗣️ Baserow Table Configuration:** A table with an rssLink column to store your RSS feed URLs. A table with a Nom column to store the links of processed articles. For any questions or further assistance, feel free to connect with me on LinkedIn: https://www.linkedin.com/in/daniel-shashko/

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 LMS integration (Canvas, Moodle) Benefits Eliminates manual distribution Ensures consistent evaluation Provides instant feedback and analytics

This n8n template demonstrates how to automate personalized cold email follow-ups using AI personalization and database tracking. Perfect for sales teams, recruiters, and agencies managing high-volume outreach. Use cases: Follow up with cold leads, re-engage trial users, nurture conference contacts, recruit candidates, or follow up with proposal recipients. PS: 1) This was created as a Follow Up workflow it was not meant for inital outreach. (However if you can customize it to include initial outreach then go ahead) 2)This workflow sends a maximum of 4 follow Ups How it works NocoDB fetches all leads and filters those needing follow-up today based on the "Next Follow up/Contact" date A switch node routes leads to the appropriate follow-up stage (1-4) based on which follow-ups have already been sent AI personalizes each email template by inserting the recipient's name while keeping the rest of the content intact Emails are sent via SMTP (or Gmail node), then the database updates to mark the follow-up as sent and schedule the next one The workflow runs daily at 10 AM to automatically process follow-ups without manual intervention Good to know Each AI personalization costs ~$0.001 with Groq (free tier available). See Groq pricing for details. Follow-up schedule: Day 3, 7, 12, 16 after initial contact (fully customizable) Leads marked "Not Interested" are automatically excluded from future follow-ups The workflow only processes leads with an "Initial Contact Date" set - this triggers the entire sequence (The initial Contact is done manually and updated manually) How to use The schedule trigger runs daily but can be replaced with manual trigger or webhook for immediate testing Customize the 4 email templates in the AI nodes to match your brand voice and offering Adjust follow-up intervals by modifying the "Update a row" nodes (currently +4 or +5 days between follow-ups) Import your lead list to NocoDB with minimum required fields: first_name, last_name, email, Initial Contact Date Requirements NocoDB account** - Free lead database (You can use any database-Google Sheets, Airtable etc. However ensure the essential details below are in the database) Groq API key** (or OpenAI/Ollama) - For AI personalization (Swap this for any LLM you like/have) SWITCH* the 'Send Email' nodes for the *Gmail** Node and set it up using OAuth

How It Works The system collects real-time wearable health data, normalizes it, and uses AI to analyze trends and risk scores. It detects anomalies by comparing with historical patterns and automatically triggers alerts and follow-up actions when thresholds are exceeded. Setup Steps Configure Webhook Endpoint - Set up webhook to receive data from wearable devices Connect Database - Initialize storage for health metrics and historical data Set Normalization Rules - Define data standardization parameters for different devices Configure AI Model - Set up health score calculation and risk prediction algorithms Define Thresholds - Establish alert triggers for critical health metrics Connect Notification Channels - Configure email and Slack integrations Set Up Reporting - Create automated report templates and schedules Test Workflow - Run end-to-end tests with sample health data Workflow Template Webhook → Store Database → Normalize Data → Calculate Health Score → Analyze Metrics → Compare Previous → Check Threshold → Generate Reports/Alerts → Email/Slack → Schedule Follow-up Workflow Steps Ingest real-time wearable data via webhook, store and standardize it, and use GPT-4 for trend analysis and risk scoring. Monitor metrics against thresholds, trigger SMS, email, or Slack alerts, generate reports, and schedule follow-ups. Setup Instructions Configure webhook, database, GPT-4 API, notifications, calendar integration, and customize alert thresholds. Prerequisites Wearable API, patient database, GPT-4 key, email SMTP, optional Slack/Twilio, calendar integration. Use Cases Monitor glucose for diabetics, track elderly vitals/fall risk, assess corporate wellness, and post-surgery recovery alerts. Customization Adjust risk algorithms, add metrics, integrate telemedicine. Benefits Early intervention reduces readmissions and automates 80% of monitoring tasks.