Workflow Templates

3 nodes

Search Outlook Emails with Natural Language Queries using GPT-4o

by Robert Breen

This workflow allows you to search your Outlook mailbox with natural language. You type what you’re looking for (e.g., “invoice from last week”), and the workflow: Uses OpenAI to generate a search query. Searches Outlook emails and ranks them by relevance. Outputs results in a simple table with score + link to each email. 👉 The number of results can be changed (default: 5). ⚙️ Setup Instructions 1️⃣ Set Up OpenAI Connection Go to OpenAI Platform Navigate to OpenAI Billing Add funds to your billing account Copy your API key into the OpenAI credentials in n8n 2️⃣ Set Up Outlook Connection In n8n → Credentials → New → Microsoft Outlook OAuth2 API Log in with your Outlook account & approve access Attach this credential to the Search Outlook node in the workflow (Optional) Change the limit parameter in the node if you want more/less than 5 results 📬 Contact Information Need help customizing this workflow or building similar automations? 📧 robert@ynteractive.com 🔗 Robert Breen 🌐 ynteractive.com

5 nodes

Prevent Prompt Injection Attacks with a GPT-4O Security Defense System

by inderjeet Bhambra

AI Security Pipeline - Prompt Injection Defense System using GPT-4O Protect your AI workflows from prompt injection attacks, XSS attempts, and malicious content with this multi-layer security sanitization system. > Important: The n8n workflow template uploader did not allow me to upload the complete system prompt for the Input Validation & Pattern Detection. Copy the complete System Prompt from here What it does This workflow acts as a security shield for AI-powered automations, preventing indirect prompt injection and other threats. It processes content through a multi-layered defense pipeline that detects malicious patterns, sanitizes markdown, validates URLs, and provides comprehensive security assessments. How it works Receives content via webhook endpoint Detects threats including prompt injections, XSS attempts, and data URI attacks Sanitizes markdown by removing HTML, dangerous protocols, and suspicious links Validates URLs blocking suspicious IP addresses, domains, and URL shorteners Returns security report with risk assessment and sanitized content Setup Import and activate the workflow Use the generated webhook URL: /webhook/security-sanitize Send POST requests with JSON: {"content": "your_text", "source": "identifier"} Use cases Secure AI chatbots and LLM integrations Process user-generated content before AI processing Protect RAG systems from data poisoning Sanitize external webhook payloads Ensure compliance with security standards Perfect for any organization using AI that needs to prevent prompt manipulation, data exfiltration, and injection attacks while maintaining audit trails for compliance.

3 nodes1 views

Scan URLs for Security Threats with urlscan.io and GPT-4o mini

by Calistus Christian

How it works • Webhook → urlscan.io → GPT-4o mini → Gmail • Payload example: { "url": "https://example.com" } • urlscan.io returns a Scan ID and raw JSON. • AI node classifies the scan as malicious / suspicious / benign, assigns a 1-10 risk score, and writes a two-sentence summary. • Gmail sends an alert that includes the URL, Scan ID, AI verdict, screenshot link, and full report link. Set-up steps (~5 min) • Create three credentials in n8n urlscan.io API key OpenAI API key (GPT-4o mini access) Gmail OAuth (or SMTP) • Replace those fields in the nodes, or reference env vars like {{ $env.OPENAI_API_KEY }}. • Switch the Webhook to Production → copy the live URL. • Test with: curl -X POST <your-webhook-url> \ -H "Content-Type: application/json" \ -d '{ "url": "https://example.com" }'

3 nodes2 views

Query Monday.com Tasks with Natural Language using GPT-4o

by Robert Breen

Ask natural-language questions about your Monday.com tasks (e.g., “Which tasks are overdue?”, “Show me all items stuck”, “Summarize what’s due this week”). The assistant fetches real data from your Monday.com board and answers based only on that. ⚙️ Setup Instructions 1️⃣ Set Up OpenAI Connection Go to OpenAI Platform Navigate to OpenAI Billing Add funds to your billing account Copy your API key into the OpenAI credentials in n8n 2️⃣ Connect Monday.com Node In Monday.com → go to your Admin → API Copy your Personal API Token Docs: Generate Monday API Token In n8n → Credentials → New → Monday.com API Paste your token and save. Open the Get many items node → choose your credential → select your Board ID and Group ID. 🧠 How it works Sample Chatbot**: webhook/chat trigger for your questions Get many items (Monday.com)**: pulls board/group tasks Set Fields → Combine → Convert to text**: formats task data OpenAI Chat Model + Memory**: lets you ask questions and keeps context across turns Chat with Monday.com**: generates the final AI answer 📬 Contact Need help customizing this for your own board structure? 📧 robert@ynteractive.com 🔗 Robert Breen 🌐 ynteractive.com

4 nodes2 views

Daily Trello Task Tracker with Google Sheets History Log

by Robert Breen

💬Communication & Collaboration

This workflow pulls all tasks from your Trello board every day and logs them into a Google Sheet. Use it to track project progress, due dates, and keep a daily snapshot of your board’s status. ⚙️ Setup Instructions 1️⃣ Connect Trello (Developer API) Get your API key: Trello App Key On the same page, generate a Token (click Token) In n8n → Credentials → New → Trello API, paste your API Key + Token, then save. Open each Trello node (Get Board, Get Lists, Get Cards) and select your Trello credential. 🧠 How It Works Schedule Trigger**: Runs daily (can be customized). Get Board → Get Lists → Get Cards**: Pulls every task, its list, due date, and description. Map Fields**: Normalizes the data (board name, list name, task name, description, due date, URL). Today's Date Node**: Adds a timestamp column so each run is logged. Google Sheets (Append): Appends all task rows into a sheet → creating a **daily history log. 📬 Contact Need help customizing this (e.g., filtering by list, or sending reports by email/Slack)? 📧 rbreen@ynteractive.com 🔗 Robert Breen 🌐 ynteractive.com

3 nodes42 views

Extract and Verify Book Titles from Bookshelf Photos using GPT-4o and Google Books

by Arlene Martin

*Use Case: * Analyze images with multiple subjects. In this use case I have a bookshelf and am extracting and verifying book titles/authors from a bookshelf photo. *How it works: * 1) Webhook receives an image url from a front end in which a user can upload a picture. In this use case, it is an image of a book shelf. 2) Edit Field (Set): Saves image in a consistent location so AI can find it. 3) Analyze Image: Image is analyzed. Extracts titles from the book spines 4) Code: Splits extracted subjects to single item to be able to validate each item separately. Books are individualized to their own entity 5) *HTTP Request *validates each subject. Queries Google Books to validate books in case only partial titles were found. 6) Edit Field (Set): Tidies the result. 7) Code: Aggregates and deduplicates Titles and authors are aggregate into a list 8) Respond to Webhook returns list to front end How to use: Use with a frontend that can capture images and receive back the result. For this use case Supabase was used to store images from which the image analyzer could reference.

3 nodes2 views

Automated Cover Letter Generator with Indeed Job Scraping and GPT-4o-mini

by Robert Breen

This workflow automates the process of writing tailored cover letters for job applications. It: Uses Apify’s Indeed Scraper to pull live job postings based on your chosen search term. Sends the job description along with your resume into OpenAI, which writes an optimized cover letter — one paragraph plus bullet points — only using details from your resume. Perfect for quickly generating professional, customized cover letters for each role you want to apply to. ⚙️ Setup Instructions 1️⃣ Set Up OpenAI Connection Go to OpenAI Platform Navigate to OpenAI Billing Add funds to your billing account Copy your API key into the OpenAI credentials in n8n 2️⃣ Set Up Apify Connection Go to Apify Console and sign up/login Get your API token here: Apify API Keys Set up this scraper in your Apify account: Indeed Scraper In n8n, create a HTTP Query Auth credential Query Key: token Value: YOUR_APIFY_API_KEY Attach this credential to the HTTP Request node (Search Indeed) 📬 Contact Information Need help customizing this workflow or building similar automations? 📧 robert@ynteractive.com 🔗 Robert Breen 🌐 ynteractive.com

4 nodes2 views

Automate Customer Support with Multilingual Chatbot using GPT-5 Nano for eCommerce

by Robert Breen

This workflow creates a multilingual eCommerce chatbot that automatically detects the customer’s language and provides tailored responses. It is designed for online shops to improve customer support in English, Spanish, and French. The chatbot is powered by OpenAI’s GPT-5 Nano and runs entirely inside n8n, with built-in memory to keep conversations contextual and helpful. 🔑 Key Features Language Detection**: Identifies customer language automatically (English, Spanish, or French). Localized Responses**: Uses pre-defined system prompts for each language. Customer Support Ready**: Handles product questions, order tracking, returns, and general inquiries. Human Handoff**: If details are missing, it guides the user to contact human support. Conversation Memory**: Tracks sessions for smoother, contextual replies. ⚙️ Setup Instructions 1️⃣ Set Up OpenAI Connection Get API Key Go to OpenAI Platform Go to OpenAI Billing Add funds to your billing account Copy your API key into the OpenAI credentials in n8n 2️⃣ Configure Your Languages & Prompts Open the Set Node named Ecommerce Language Prompts. Update or expand the list of languages and their system prompts. Example already includes: English Spanish French That’s it! Your chatbot is ready to run 🎉 📬 Contact Information Need help customizing this workflow or building similar automations? 📧 Email: robert@ynteractive.com 🔗 LinkedIn: Robert Breen 🌐 Website: ynteractive.com

4 nodes2 views

Add Project Tasks to Google Sheets with GPT-4.1-mini Chat Assistant

by Robert Breen

Let your team create, track, and manage project tasks through natural conversation. This workflow uses an AI Project Manager Agent that chats with users, gathers the task details it needs, and automatically adds them to a Google Sheet. ✅ What this template does Lets you chat naturally with an AI to add new project tasks Automatically detects if the user wants to create or update an item (updates coming soon) Collects Task, Description, and Status fields — allows “don’t know” responses Appends new entries directly into your connected Google Sheets Provides real-time confirmation when the task is added > Trigger: n8n Chat Trigger > Integrations: OpenAI GPT-4.1-mini + Google Sheets (OAuth2) 🧠 How it works The Chat Trigger starts a chat with the user. The AI Project Manager Agent asks guiding questions to gather the task name, description, and status. When all fields are complete (all Info = Yes), the data is passed to the Google Sheets node. The task is automatically added to your project tracker sheet. The AI confirms completion in chat. ⚙️ Setup instructions 1. Connect OpenAI Go to OpenAI Platform → copy your API key. In n8n, create New Credentials → OpenAI API and paste your key. Ensure your account has active billing under OpenAI Billing. 2. Connect Google Sheets (OAuth2) In n8n → Credentials → New → Google Sheets (OAuth2) Sign in with your Google account and grant access. Select your spreadsheet and tab (e.g., “Tasks”) when prompted. Example sheet: https://docs.google.com/spreadsheets/d/1pbK-B-Q9p8fVjxJIsjEVrAfRgqEPCeYw8rZojZPAb84/edit 3. Test your chat Click Execute Workflow, then start chatting: > “Add a task for reviewing the project report tomorrow.” The agent will ask questions if needed, then add the record to your sheet. 🧩 Customization ideas Add a Date Added or Assigned To column to the Google Sheet Integrate with Slack or Outlook to message assigned users Extend the agent to support task updates and deletes Replace Google Sheets with Airtable or Notion if preferred 🪄 Requirements n8n version ≥ 1.100 OpenAI API key Google Sheets account 📬 Contact Need help customizing this (e.g., adding deadlines, linking to Notion, or Slack notifications)? 📧 robert@ynteractive.com 🔗 Robert Breen 🌐 ynteractive.com

5 nodes12 views

Smart Gmail Inbox Management with Gemini: Auto-label and Draft Replies

by Salvador

💬Communication & Collaboration

Keep your Gmail inbox organized and stress-free with this AI-powered workflow. Ideal for freelancers, small business owners, and productivity enthusiasts who receive a high volume of mixed emails. This template automatically sorts messages into predefined labels and drafts a professional reply when follow-up is needed. How it works Gmail Trigger starts the workflow whenever a new email arrives. AI Classifier (Gemini or compatible model) analyzes the message, checks your previous conversations and sent emails, and assigns the correct Gmail label. Smart rules ensure irrelevant messages are deleted or archived, while actionable ones are prepared for a response. AI Draft Node creates a concise, friendly, and professional draft reply — stored safely in your Gmail drafts folder (never auto-sent). Optional tools like CheckCalendar can suggest time slots for meetings automatically. Together, these steps make your inbox work for you: sorting, prioritizing, and drafting responses. Set up steps Connect your Gmail account and ensure your label categories already exist. Connect your Gemini (or other AI) credentials. (Optional) Enable CheckCalendar for scheduling suggestions. Adjust the labeling rules and prompt text to match your personal or business workflow. Requirements Gemini account for LLM Google OAuth2 credentials

4 nodes

Generate PII-Safe Helpdocs from Crisp Support Chats with GPT-4.1-mini

by Cooper

Turn Crisp chats into Helpdocs Automatically create help articles from resolved Crisp chats. This n8n workflow listens for chat events, formats Q&A pairs, and uses an LLM to generate a PII‑safe helpdoc saved to a Data Table. Highlights 🧩 Trigger: Crisp Webhook when a chat is marked resolved. 🗂️ Store: Each message saved in a Data Table (crisp). 🧠 Generate: LLM turns Q&A into draft helpdoc. 💾 Save: Draft stored in another Data Table (crisphelp) for review. How it works Webhook receives message:send, message:received, and state:resolved events from Crisp. Data Table stores messages by session_id. On state:resolved, workflow fetches the full chat thread. Code node formats messages into Q: and A: pairs. LLM (OpenAI gpt-4.1-mini) creates a redacted helpdoc. Data Table crisphelp saves the generated doc with publish = false. Requirements Crisp workspace with webhook access (Settings → Advanced → Webhooks) n8n instance with Data Tables and OpenAI credentials Customize Swap the model in the LLM node. Add a Slack or Email node after store-doc to alert reviewers. Extend prompt rules to strengthen PII redaction. Tips Ensure Crisp webhook URL is public. Check IF condition: {{$json.body.data.content.namespace}} == "state:resolved". Use the publish flag to control auto‑publishing. Category: AI • Automation • Customer Support