Workflow Templates

How It Works This workflow automates end-to-end code repository governance scanning using a multi-agent AI orchestration system. Designed for engineering leads, DevSecOps teams, and CTOs, it replaces manual code audits with a structured, AI-driven compliance and security analysis pipeline. The workflow begins by extracting repository metadata, which is passed to a Governance Orchestrator Agent coordinating four specialised sub-agents: Static Code Analysis, Architectural Compliance, CTO Report Generation, and Security Vulnerability Analysis. Outputs are consolidated into a Structured Governance Output, formatted as a final report, then routed by severity level. Critical findings trigger escalation alerts and are aggregated separately, while medium findings are handled independently. All paths converge to merge analysis results, enrich the final output, and deliver a board-ready governance report with full audit traceability. Setup Steps Configure Extract Repository Metadata with your Git provider or repository API credentials. Set severity thresholds in the Check Critical Issues Threshold node to match your governance policy. Configure Prepare Escalation Alert with your notification channel. Prerequisites OpenAI or compatible LLM API credentials Git repository access (GitHub, GitLab, or Bitbucket API) Notification channel (Slack, email, or webhook) Use Cases Automated pre-release security and compliance audits Customisation Adjust severity thresholds to match internal risk frameworks Benefits Eliminates manual code audit effort across engineering teams

Creative Design Agency Simulation with OpenAI O3 and GPT-4.1-mini Multi-Agent Team This n8n workflow simulates a full-service creative agency powered by AI. At the center is a Creative Director Agent (O3 model) who takes client requests, plans the creative direction, and delegates work to a specialized design team. Each specialist runs on GPT-4.1-mini, keeping execution fast and cost-efficient. 🟢 Section 1 – Entry & Strategic Leadership Nodes: 💬 When chat message received → Entry point, listens for design briefs. 🎨 Creative Director Agent (O3) → The “agency head” who interprets requirements and decides which specialists to involve. 💡 Think Tool → Helps the Director brainstorm, evaluate alternatives, and refine direction. 🧠 OpenAI Chat Model Director (O3) → Strategic reasoning engine for the Director. ✅ Benefit for beginners: Think of this as the project manager’s desk — you submit a design request, and the Director figures out how to make it happen. ✍️ Section 2 – Core Creative Specialists Nodes: 🖼️ Graphic Designer → Logos, visual identity, print, packaging. 📱 UI/UX Designer → Wireframes, prototypes, interaction design. 🎯 Brand Strategist → Market positioning, brand guidelines, competitive research. 📝 Creative Copywriter → Taglines, messaging, campaign copy. Each agent is powered by GPT-4.1-mini. ✅ Benefit for beginners: This section is your creative studio team — they craft visuals, design user experiences, and write compelling words. 🚀 Section 3 – Extended Design & Motion Team Nodes: 🎬 Motion Graphics Designer → Animations, promo videos, explainer graphics. 🌐 Web Designer → Websites, responsive layouts, accessibility improvements. 🖌️ OpenAI Chat Model Agents (GPT-4.1-mini) → Back each specialist with creative power. ✅ Benefit for beginners: This section brings motion and web into the mix, ensuring your creative package isn’t static — it moves, animates, and lives online. 📊 Summary Table | Section | Key Roles | Model | Purpose | Beginner Benefit | | ------------------- | --------------------------------- | ------------ | --------------------- | ------------------------------------- | | 🟢 Entry & Strategy | Chat Trigger, Director, Think | O3 | Leadership & planning | Turns briefs into action plans | | ✍️ Core Creatives | Graphic, UI/UX, Brand, Copywriter | GPT-4.1-mini | Design & content | Produces visuals, UX, and words | | 🚀 Extended Team | Motion Graphics, Web | GPT-4.1-mini | Motion & web design | Animates, builds, and scales projects | 🌟 Why This Workflow Rocks Complete agency in a box** → Strategy + Design + Motion + Web + Copy Smart leadership** → Director (O3) only used for high-level thinking Cost-effective execution** → GPT-4.1-mini runs most tasks Parallel creativity** → Specialists work simultaneously Scalable** → Adaptable to any design or branding request 👉 Example: Send a message like “Design a brand identity for a sustainable clothing startup”. Within minutes, your AI agency produces: A logo & color scheme 🎨 A UX prototype 📱 A brand positioning doc 🎯 Animated ad ideas 🎬 Website mockups 🌐 A tagline & ad copy ✍️

Creating high-quality, SEO-friendly blog posts consistently can be time-consuming. This template helps content creators, bloggers, SEO specialists, and agencies fully automate their blogging workflow. By combining AI content generation (GPT), Google Sheets for keyword management, and WordPress for direct publishing, this workflow saves hours of manual work and ensures professional results. ⚡ Use Cases Automate content creation for niche blogs. Generate SEO-optimized articles from keyword lists. Keep a consistent publishing schedule without manual effort. Scale content production for agencies or affiliate sites. ✅ Pre-requirements Before using this template, you will need: Google Sheets API credentials (for managing topics & keywords). AI API key (e.g., OpenAI, LM Studio, Ollama, or any connected model). WordPress credentials with API access. Basic understanding of n8n workflow editor. 🔧 Step-by-Step Setup Connect Google Sheets: Add your API credentials.- Use the sheet to store keywords, titles, and categories. Integrate AI Model (GPT or others): Insert your API key into the AI node. Customize the SEO writing prompt for Rank Math 90+ score. Content Processing: The workflow will fetch one keyword at a time. AI will generate a 1200–1500+ word SEO blog post. Output is cleaned into proper HTML. Publish to WordPress: Configure the WordPress node with your site credentials. Automatically post as Draft or Published.

Overview Meet Maria, a sophisticated AI Booking Agent designed for Veterinary Clinics (but easily adaptable to any service business). This workflow transforms a simple chat interface into a full-scale administrative assistant that handles client lookups, lead generation, and scheduling without human intervention. Key Features Intelligent CRM Lookup: Automatically checks Google Sheets to see if a customer is a "New" or "Existing" client. Automated Lead Capture: If the client doesn't exist, the agent collects their details and creates a new entry in real-time. Full Calendar Management: Maria can Get, Create, Reschedule, and Delete appointments directly in Google Calendar. Smart Escalation: Uses a "Human-in-the-loop" logic; if a query is medical or complex, Maria triggers a Gmail notification to alert the professional staff. Dual-Model Reliability: Powered by OpenRouter, utilizing GPT-4o for complex reasoning with built-in fallback support. How it works Normalization: Incoming phone numbers are cleaned to ensure database consistency. The Brain: The AI Agent uses a Window Buffer Memory to maintain context throughout the conversation. Tooling: Maria is equipped with custom tools for Google Sheets (Database), Google Calendar (Booking), and Gmail (Escalation). Confirmation: No appointment is finalized until the agent confirms the date and time with the user in natural language. Setup Instructions Credentials: Connect your Google Sheets, Calendar, and Gmail accounts. API: Add your OpenRouter API key to the AI Agent node. Sheet ID: Update the Google Sheets nodes to point to your specific Spreadsheet. Timezone: Ensure your n8n Workflow settings match your local clinic's timezone.

AI-powered "Second Brain" that can answer questions about any YouTube channel's content using Neo4j Graph Database and RAG. Turn any YouTube channel into a searchable knowledge base. The AI agent understands relationships between videos, topics, tools, and concepts - enabling powerful queries like "Which videos talk about automation AND mention n8n?" or "What are the most discussed topics?". Good to know Neo4j Aura Free Tier is sufficient for most channels (up to 200k nodes) Apify credits are required for YouTube scraping (~$5 for 500 videos) LLM costs are minimal (~$0.01 per video for entity extraction) How it works Ingestion Flow**: Scrapes YouTube videos via Apify, including titles, descriptions, and transcripts. Entity Extraction**: GPT-4o-mini analyzes each video and extracts Topics, Tools, and Concepts mentioned. Graph Storage**: Data is stored in Neo4j with relationships: Video → COVERS → Topic, Video → USES → Tool, Video → EXPLAINS → Concept. AI Agent**: Receives user questions, generates Cypher queries to search the graph, and returns natural language responses with relevant video links. How to use Set up a free Neo4j Aura instance and save credentials Convert your Neo4j username:password to Base64 for authentication Configure Apify with your target YouTube channel URL Run the ingestion workflow to populate the database Chat with the AI agent to query your video knowledge base Requirements Neo4j Aura account (free tier available) Apify account for YouTube scraping OpenAI API key (GPT-4o-mini) for entity extraction Anthropic API key (Claude) or OpenAI for the AI agent Customization Modify the system prompt to change response style or language Add more entity types (e.g., People, Companies, Frameworks) Connect multiple YouTube channels into one knowledge base Extend to other content sources (blogs, podcasts, Notion docs)

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" }'

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

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

Overview: Recrutei ATS - Ultimate Internal AI Agent This workflow transforms Slack into a powerful command center for recruitment. Using an AI Agent (LangChain) integrated with the Recrutei ATS API and MCP, your team can manage candidates, vacancies, tags and a lot more directly through Slack messages. Key Features Natural Language Processing:** Use GPT-4 to interpret complex requests like "Find candidates for the Python role and tag them as 'Senior'". Candidate Management:** Create prospects, disqualify candidates, or move them between pipeline stages. Vacancy Insights:** Add and read comments on vacancies directly from the chat. Tagging System:** Create, list, and delete tags dynamically. Setup Instructions Slack Trigger: Connect your Slack account and invite the bot to your desired channel. OpenAI: Configure your API Key. This agent uses GPT-4o-mini (or GPT-4) for high-reasoning capabilities. HTTP Request Tools: Every "Tool" node (Pink nodes) needs your Recrutei API Token. Replace the Authorization header with your Bearer YOUR_TOKEN. Update the Base URL if necessary. Slack Post: Ensure the bot has permissions to write in the channel.

✅ What problem does this workflow solve? Call centers often record conversations for quality control and training, but reviewing every transcript manually is tedious and inefficient. This workflow automates sentiment analysis for each call, providing structured feedback across multiple key categories, so managers can focus on improving performance and training. ⚙️ What does this workflow do? Accepts a Google Sheet containing: Call transcript Agent name Customer name Analyzes each call transcript across multiple sentiment dimensions: 👋 Greeting Sentiment 🧑‍💼 Agent Friendliness ❓ Problem-Solving Sentiment 🙂 Customer Sentiment 👋 Closing Sentiment ✅ Issue Resolved (Yes/No) Add Conversation Topics discussed in a call Calculates an overall call rating based on combined analysis. Updates the Google Sheet with: Individual sentiment scores Issue resolution status Final call rating 🔧 Setup Instructions 📄 Google Sheets Prepare a sheet with the following columns: Transcript Agent Name Customer Name The workflow will append results in new columns automatically: Greeting Sentiment Closing Sentiment Agent Friendliness Problem Solving Customer Sentiment Issue Resolved Overall Call Rating (out of 5 or 10) 🧠 OpenAI Setup Connect OpenAI API to perform NLP-based sentiment classification. For each transcript, use structured prompts to analyze individual components. 🧠 How it Works – Step-by-Step Sheet Scan – The workflow reads rows from the provided Google Sheet. Loop Through Calls – For each transcript, it: Sends prompts to OpenAI to analyze: Greeting tone (friendly/neutral/rude) Problem-solving quality (clear/confusing/helpful) Closing sentiment Agent attitude Customer satisfaction Whether the issue was resolved Calculates a composite rating from all factors. Update Sheet – All analyzed data is written back into the Google Sheet. 📊 Example Output https://docs.google.com/spreadsheets/d/1aWU28D_73nvkDMPfTkPkaV53kHgX7cg0W4NwLzGFEGU/edit?gid=0#gid=0 👤 Who can use this? This workflow is ideal for: ☎️ Call Centers 🎧 Customer Support Teams 🧠 Training & QA Departments 🏢 BPOs or Support Vendors If you want deeper insight into every customer interaction, this workflow delivers quantified, actionable sentiment metrics automatically. 🛠 Customization Ideas 📅 Add scheduled runs (daily/weekly) to auto-analyze new calls. 📝 Export flagged or low-rated calls into a review dashboard. 🧩 Integrate with Slack or email to send alerts for low-score calls. 🗂 Filter by agent, category, or score to track performance trends. 🚀 Ready to Use? Just connect: ✅ Google Sheets (with transcript data) ✅ OpenAI API …and this workflow will automatically turn your raw call transcripts into actionable sentiment insights.

💬 Chat with Your Trello Board (n8n + OpenAI) 📖 Description Turn your Trello board into a conversational assistant. This workflow pulls your board → lists → cards, aggregates the context, and lets you ask natural-language questions (“what’s overdue?”, “summarize In Progress”, “what changed this week?”). OpenAI reasons over the live board data and replies with concise answers or summaries. Great for standups, planning, and quick status checks—without opening Trello. > Setup steps are already embedded in the workflow (Trello API + OpenAI + board URL). Just follow the sticky notes inside the canvas. 🧪 Example prompts “Give me a one-paragraph summary of the board.” “List all cards due this week with their lists.” “What’s blocking items in ‘In Progress’?” “Show new cards added in the last 2 days.” ⚙️ Setup Instructions 1️⃣ Connect Trello (Developer API) Get your API key: https://trello.com/app-key Generate a token (from the same page → Token) In n8n → Credentials → New → Trello API, paste API Key and Token, save. Open each Trello node (Get Board, Get Lists, Get Cards) and select your Trello credential. 2️⃣ 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 3️⃣ Add Your Board URL to “Get Board” Copy your Trello board URL (e.g., https://trello.com/b/DCpuJbnd/administrative-tasks). Open the Get Board node → Resource: Board, Operation: Get. In ID, choose URL mode and paste the board URL. The node will resolve the board and output its id → used by Get Lists / Get Cards. 📬 Contact Need help customizing this or adding Slack/Email outputs? 📧 robert@ynteractive.com 🔗 Robert Breen 🌐 ynteractive.com

Create a Telegram bot that answers questions using AI-powered web search from Linkup and an LLM agent (GPT-4.1). This template handles both text and voice messages (voice transcribed via a Mistral model by default), routes queries through an agent that can call a Linkup tool to fetch up-to-date information from the web, and returns concise, Telegram-friendly replies. A security switch lets you restrict use to a single Telegram username for private testing, or remove the filter to make the bot public. Who is this for? Anyone needing quick answers:** Build a personal assistant that can look up current events, facts, and general knowledge on the web. Support & ops teams:** Provide quick, web-sourced answers to user questions without leaving Telegram. Developers & automation engineers:** Use this as a reference for integrating agents, transcription, and web search tools inside n8n. No-code builders:** Quickly deploy a chat interface that uses Linkup for accurate, source-backed answers from the web. What it does / What problem does this solve? Provides accurate, source-backed answers:* Routes queries to *Linkup** so replies are grounded in up-to-date web search results instead of the LLM's static knowledge. Handles voice & text transparently:* Accepts Telegram voice messages, transcribes them (via the *Mistral** API node by default), and treats transcripts the same as typed text. Simple agent + tool architecture:* Uses a *LangChain AI Agent* with a *Web search** tool to separate reasoning from information retrieval. Privacy control:* Includes a *Myself?** filter to restrict access to a specific Telegram username for safe testing. How it works Trigger: Telegram Trigger receives incoming messages (text or voice). Route: Message Router detects voice vs text. Voice files are fetched with Get Audio File. Transcribe: Mistral transcribe receives the audio file and returns a transcript; the transcript or text is normalized into preset_user_message and consolidated in Consolidate user message. Agent: AI Agent (GPT-4.1-mini configured) runs with a system prompt that instructs it to call the Web search tool when up-to-date knowledge is required. Respond: The agent output is sent back to the user via Telegram answer. How to set up Create a Linkup account: Sign up at https://linkup.so to get your API key. They offer a free tier with monthly credits. Add credentials in n8n: Configure Telegram API, OpenAI (or your LLM provider), and Mistral Cloud credentials in n8n. Configure Linkup tool: In the Web search node, find the "Headers" section. In the Authorization header, replace Bearer <your-linkup-api-key> with your actual Linkup API Key. Set Telegram privacy (optional): Edit the Myself? If node and replace <Replace with your Telegram username> with your username to restrict access. Remove the node to allow public use. Adjust transcription (optional): Swap the Mistral transcribe HTTP node for another provider (OpenAI, Whisper, etc.). Connect LLM: In OpenAI Chat Model node, add your OpenAI API key (or configure another LLM node) and ensure the AI Agent node references this model. Activate workflow: Activate the workflow and test by messaging your bot in Telegram. Requirements An n8n instance (cloud or self-hosted) A Telegram Bot token added in n8n credentials A Linkup account and API Key An LLM provider account (OpenAI or equivalent) for the OpenAI Chat Model node A Mistral API key (or other transcription provider) for voice transcription How to take it further Add provenance & sources:** Parse Linkup responses and include short citations or source links in the agent replies. Rich replies:** Use Telegram media (images, files) or inline keyboards to create follow-up actions (open web pages, request feedback, escalate to humans). Multi-user access control:** Replace the single-username filter with a list or role-based access system (Airtable or Google Sheets lookup) to allow multiple trusted users. Logging & analytics:* Save queries and agent responses to *Airtable* or *Google Sheets** for monitoring, quality checks, and prompt improvement.