Workflow Templates

Personal AI Assistant on Telegram Who It’s For: This workflow is designed for developers, founders, community managers, and automation enthusiasts who want to bring a personal AI assistant directly into their Telegram chat. It lets users interact naturally—either through text or voice messages—and get instant, AI-powered replies without switching apps or opening dashboards. ⚡ What It Does / How It Works 📥 Message Trigger: A Telegram Trigger node listens for incoming messages. 🧭 Smart Routing: A Switch node decides if the user sent a text or voice message. 🗣️ Voice to Text: If it’s voice, the workflow uses OpenAI Whisper Transcription to convert it into text. 🧠 AI Processing: The text is passed to an AI Agent powered by GPT-4.1-mini to understand intent and craft a response. 💬 Reply: The bot sends a clean, structured, and polite answer back to the user on Telegram. 🧠 Memory: A buffer memory node keeps short-term conversation history for a more contextual, human-like experience. 🧰 How to Set It Up: Telegram Integration Create a bot via @BotFather on Telegram. https://telegram.me/BotFather Add your Telegram API Key to n8n credentials. Connect the Telegram Trigger and Send a Message nodes. OpenAI Setup Get your API key from platform.openai.com. https://platform.openai.com/api-keys Configure the OpenAI Chat Model and Transcribe a Recording nodes with GPT-4.1-mini. Workflow Logic Use the Switch node to detect message type (text or voice). Route voice messages through transcription before sending them to the AI agent. Add Simple Memory to maintain short conversational context. Go Live Activate the workflow. Send a message or voice note to your bot. Get instant replies from your personal AI assistant. 🚀 🛡️ Requirements: n8n (self-hosted or cloud) Telegram Bot API key OpenAI API key (for GPT-4.1-mini) Basic understanding of n8n nodes and connections 🌟 Why Use This Workflow: ✅ Hands-free experience: Just talk or type. 🧠 AI-powered responses: Natural language understanding with GPT. ⚡ Real-time interaction: Fast replies via Telegram. 🔁 Memory-aware conversations: Feels more human. 🧩 Modular design: Easily extend to other AI tools or platforms.

Create a Fall 2025 course schedule for each student based on what they’ve already completed, catalog prerequisites, and term availability (Fall/Both). Reads students from Google Sheets → asks an AI agent to select exactly 5 courses (target 15–17 credits, no duplicates, prereqs enforced) → appends each student’s schedule to a schedule tab. 🧠 Summary Trigger:* Manual — *“When clicking ‘Execute workflow’” I/O:** Google Sheets in → OpenAI decisioning → Google Sheets out Ideal for:** Registrars, advisors, degree-planning prototypes ✅ What this template does Reads: StudentID, Name, Program, Year, CompletedCourses (pipe-separated CourseIDs) from **Sheet1 Decides: AI **Scheduling Agent chooses 5 courses per student following catalog rules and prerequisites Writes: Appends StudentID + Schedule strings to **schedule worksheet Credits target**: 15–17 total per term Catalog rules** (enforced in the agent prompt): Use Fall or Both courses for Fall 2025 Enforce AND prereqs (e.g., CS-102|CS-103 means both) Priority: Major Core → Major Elective → Gen Ed (include Gen Ed if needed) No duplicates or already-completed courses Prefer 200-level progression when prereqs allow ⚙️ Setup (only 2 steps) 1) Connect Google Sheets (OAuth2) In n8n → Credentials → New → Google Sheets (OAuth2), sign in and grant access In the Google Sheets nodes, select your spreadsheet and these tabs: Sheet1 (input students) schedule (output) > Example spreadsheet (replace with your own): > - Input: .../edit#gid=0 > - Output: .../edit#gid=572766543 2) Connect OpenAI (API Key) In n8n → Credentials → New → OpenAI API, paste your key In the OpenAI Chat Model node, select that credential and a chat model (e.g., gpt-4o) 📥 Required input (Sheet1) Columns**: StudentID, Name, Program, Year, CompletedCourses CompletedCourses**: pipe-separated IDs (e.g., GEN-101|GEN-103|CS-101) Program* names should match those referenced in the embedded catalog (e.g., *Computer Science BS, Business Administration BBA, etc.) 📤 Output (schedule tab) Columns**: StudentID Schedule → a selected course string (written one row per course after splitting) 🧩 Nodes in this template Manual Trigger* → *Get Student Data (Google Sheets)* → *Scheduling Agent (OpenAI)** → Split Schedule → Set Fields → Clear sheet → Append Schedule (Google Sheets) 🛠 Configuration tips If you rename tabs, update both Get Student Data and Append Schedule nodes Keep CompletedCourses consistent (use | as the delimiter) To store rationale as well, add a column to the output and map it from the agent’s JSON 🧪 Test quickly 1) Add 2–3 sample student rows with realistic CompletedCourses 2) Run the workflow and verify: 5 course rows per student in schedule Course IDs respect prereqs & Fall/Both availability Credits sum ~15–17 🧯 Troubleshooting Sheets OAuth error:** Reconnect “Google Sheets (OAuth2)” and re-select the spreadsheet & tabs Empty schedules:** Ensure CompletedCourses uses | and that programs/courses align with the provided catalog names Prereq violations:** Check that students actually have all AND-prereqs in CompletedCourses OpenAI errors (401/429):** Verify API key, billing, and rate-limit → retry with lower concurrency 🔒 Privacy & data handling Student rows are sent to OpenAI for decisioning. Remove or mask any fields you don’t want shared. Google Sheets retains input/output. Use spreadsheet sharing controls to limit access. 💸 Cost & performance OpenAI**: Billed per token; cost scales with student count and prompt size Google Sheets**: Free within normal usage limits Runtime**: Typically seconds to a minute depending on rows and rate limits 🧱 Limitations & assumptions Works for Fall 2025 only (as written). For Spring, update availability rules in the agent prompt Assumes catalog in the agent system message is your source of truth Assumes Program names match catalog variants (case/spacing matter for clarity) 🧩 Customization ideas Add a Max Credits column to cap term credits per student Include Rationale in the sheet for advisor review Add a “Gen Ed needed?” flag per student to force at least one Gen Ed selection Export to PDF or email the schedules to advisors/students 🧾 Version & maintenance n8n version:** Tested on recent n8n Cloud builds (2025) Community nodes:** Not required Maintenance:** Update the embedded catalog and offerings each term; keep prerequisites accurate 🗂 Tags & category Category:** Education / Student Information Systems Tags:** scheduling, registrar, google-sheets, openai, prerequisites, degree-planning, catalog, fall-term 🗒 Changelog v1.0.0** — Initial release: Sheets in/out, Fall 2025 catalog rules, prereq enforcement, 5-course selection, credits target 📬 Contact Need help customizing this (e.g., cohort logic, program-specific rules, adding rationale to the sheet, or emailing PDFs)? 📧 rbreen@ynteractive.com 🔗 Robert Breen — https://www.linkedin.com/in/robert-breen-29429625/ 🌐 ynteractive.com — https://ynteractive.com

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🤖 AI-Powered Twitter Content Generator Transform topic ideas into ready to post Twitter drafts (text + image) using fresh web data and AI agents 🎯 What does this workflow do? This end to end automation creates complete Twitter posts by: Taking your topic input (e.g., "Agentic AI") via chat interface Generating fresh, research-backed content using AI agents: First agent uses GPT-4.1-MINI + Tavily to bypass LLM knowledge limits with real-time web data Second agent creates optimized prompt for image generation Producing custom visuals through OpenAI's gpt-image-1 Delivering polished drafts (text + image) via Gmail for review ⚙️ How it works User input: You provide a topic through chat node Content research: Agent 1 (GPT-4.1-mini + Tavily) researches current web data Generates factually fresh tweet content Visual creation: Agent 2 optimizes prompt for image generation HTTP request node calls OpenAI's gpt-image-1 model to generate the image Convert to file node converst the base64 string to a file so we can send it as an attachment Delivery: Gmail node sends compiled draft with text body + image attachment 🔑 Required setup Have a verified organization: OpenAI Org Settings OpenAI API Key: Create a Key Here Tavily API Key: Get it Here Gmail credentials: Google Cloud Console

This workflow fetches live financial data from SerpApi and generates a daily market recap using OpenAI. ⚙️ Setup Instructions 1️⃣ Set Up SerpApi Connection Create a free account at SerpApi Copy your API Key from the SerpApi dashboard In n8n → Credentials → New → SerpApi Paste your API Key → Save In the workflow, select your SerpApi credential in the Finance Search node. 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 🧠 How it works SerpApi Finance Search** → pulls market data (example: S&P 500, ticker ^GSPC) OpenAI Model** → summarizes into a daily report with a paragraph + key bullet points 📬 Contact Need help customizing (e.g., pulling multiple tickers, exporting to Google Sheets, or sending Slack/Email updates)? 📧 robert@ynteractive.com 🔗 Robert Breen 🌐 ynteractive.com

🌟 AI-05: CCO Customer Success Team - Multi-Agent AI Workflow 📋 Overview Transform your customer success operations with this comprehensive AI-powered workflow featuring a strategic Chief Customer Officer (CCO) agent and six specialized customer success agents. This multi-agent system handles everything from onboarding to retention, ensuring maximum customer satisfaction and revenue expansion. 🔗 Links: YouTube Channel**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Website**: https://nofluff.online ⚙️ How It Works Customer Success Request: Chat interface receives requests like "Create a comprehensive onboarding program for enterprise customers" CCO Strategic Analysis: O3-powered CCO agent analyzes customer lifecycle and determines optimal success strategy Specialist Delegation: Work distributed to 6 specialized agents for execution Comprehensive Output: Integrated customer success deliverables with actionable recommendations 👥 Meet Your AI Customer Success Team | Agent | Specialization | Model | Primary Output | |-------|----------------|-------|---------------| | 🌟 CCO Agent | Customer success strategy & retention oversight | O3 | Strategic customer success planning | | 🚀 Customer Onboarding Specialist | Onboarding flows, welcome sequences, setup guides | GPT-4.1-mini | Onboarding programs | | 🆘 Customer Support Specialist | Support workflows, troubleshooting, help documentation | GPT-4.1-mini | Support systems | | 💊 Customer Health Analyst | Health scoring, risk identification, usage analytics | GPT-4.1-mini | Health assessments | | 📈 Upsell & Expansion Specialist | Growth opportunities, expansion strategies, upgrade paths | GPT-4.1-mini | Expansion plans | | 🎓 Customer Training Specialist | Training programs, certification courses, skill development | GPT-4.1-mini | Training curricula | | 🔄 Retention & Loyalty Specialist | Churn prevention, loyalty programs, renewal strategies | GPT-4.1-mini | Retention campaigns | 💡 Use Cases Complete Onboarding Programs**: Welcome sequences → Setup guides → Success milestones Customer Health Monitoring**: Usage tracking → Risk identification → Intervention strategies Expansion Revenue**: Account analysis → Upsell opportunities → Growth planning Support Excellence**: Knowledge bases → Workflow automation → Response optimization Training & Certification**: Learning paths → Skill assessments → Certification programs Retention Campaigns**: Churn prediction → Win-back strategies → Loyalty building 🎯 Key Benefits Proactive Success Management**: Identify and address customer needs before they become issues Revenue Expansion**: Systematic approach to identifying and capturing growth opportunities Operational Efficiency**: Streamlined processes for onboarding, support, and retention Data-Driven Insights**: Customer health scoring and predictive analytics Scalable Training**: Automated customer education and certification programs 💸 Cost Optimization Strategy O3 for CCO**: High-level customer success strategy and complex relationship management GPT-4.1-mini for Specialists**: 90% cost reduction for execution tasks Parallel Processing**: Multiple customer success workstreams handled simultaneously Template Reuse**: Proven customer success frameworks and best practices 🏗️ Building Blocks Approach This workflow provides foundational customer success components that you should customize: Adjust agent prompts** to match your industry, product, and customer segments Add relevant tools** like CRM integrations, analytics platforms, and communication systems Customize outputs** to align with your customer success methodology and KPIs Integrate workflows** with your existing customer success tech stack 🏷️ Tags #CustomerSuccess #CustomerExperience #ChurnPrevention #CustomerOnboarding #CustomerRetention #RevenueExpansion #CustomerHealth #CustomerSupport #CustomerTraining #LoyaltyPrograms #CustomerAnalytics #n8n #OpenAI #MultiAgentWorkflow #CustomerSuccessOps #CSMAutomation

💬 Conversational Calendar Bot for Telegram This workflow creates an AI chatbot on Telegram that intelligently manages your Google Calendar using natural language. It even checks for conflicts before scheduling! AI Models: Anthropic Claude 3.5 Haiku (Primary) & OpenAI GPT-4.1-mini (Fallback) How It Works Listen 👂: Triggered by a message in your Telegram chat. Understand 🧠: An AI Agent extracts the event details (title, date, time). Check 🧐: It first checks Google Calendar for any conflicting events. Decide ✅: If the slot is free, it creates the event. If not, it asks you for a new time. Confirm 👍: Sends a final confirmation message back to you. Nodes Used Telegram Trigger LangChain Agent Anthropic & OpenAI Models Google Calendar & Telegram Tools Setup Credentials: Add API keys for Telegram, Google Calendar, Anthropic, and OpenAI. Configure Nodes: Telegram Trigger: Add your specific Chat ID. Google Calendar Nodes ("Create" & "Get"): Select your calendar from the dropdown list. Example Usage To create a timed event: 🗓️ "Add an appointment to pick up graduation certificates on July 17th at 9 AM" To create an all-day event: PASSPORT "Remind me to renew my passport on August 20th"

Automate Market Problem Discovery from Reddit with OpenAI Who’s it for This workflow is perfect for entrepreneurs, startup founders, product managers, researchers, and market analysts who want to automatically discover and analyze real market problems from online discussions. While this example focuses on identifying issues in the future of work and future of education, it can be fully adapted to detect any type of market pain point by changing the data sources and AI prompts. If you’re looking to automate market research, find customer pain points, or detect unmet needs in your industry, this template is for you. What it does This no-code n8n automation: Collects fresh discussions from Reddit (default: Teachers, Education, RemoteWork subreddits). Filters posts by engagement (more than 5 upvotes by default). Uses OpenAI GPT-4.1 to: Detect if a post describes a real market problem. Identify the underlying pain or unmet need. Suggest a practical, tech/AI-based solution. Score the problem’s Impact, Confidence, and Ease of prototyping (ICE framework). Saves results to Google Sheets for easy prioritization and action. This allows you to automate the detection of market opportunities without manually reading through hundreds of posts. How it works Schedule Trigger**: Runs the workflow at your preferred interval (daily, hourly, etc.). Reddit Nodes**: Pull posts from the targeted subreddits (you can replace them with any niche communities). Filter Node**: Keeps only posts with engagement above your threshold. OpenAI Node: Analyzes each post using a **User Prompt and System Prompt in English, returning structured JSON data. Google Sheets Node**: Stores all results with full scoring for later review and prioritization. Requirements Reddit OAuth2 API credentials. OpenAI API key. Google Sheets OAuth2 API credentials. A Google Sheet with these columns: SubReddit, Title, Content, Short Description, Detected Pain, Possible Solution, Impact, Confidence, Ease, URL, ICE Score How to customize Change the market focus**: Replace example subreddits with your own industry forums or communities. Adjust the filter criteria**: Modify the upvote threshold or other parameters. Edit the AI prompts**: Tailor them to detect specific types of problems (healthtech, fintech, sustainability, etc.). Integrate more sources**: Add Twitter, LinkedIn, or customer support logs for richer insights. 💡 With this automation, you can continuously monitor and capture market pain points, turning raw online discussions into actionable business opportunities.

🏡 AI-Powered Real Estate Lead Qualifier (n8n Workflow) Description This n8n workflow automates lead engagement and qualification for real estate buyers. When someone submits a form on your real estate website, the system instantly responds via SMS, starting a conversation powered by an AI Agent. The AI asks pre-qualifying questions (like budget, location, and timeline), logs the entire conversation, and then summarizes and sends the lead info to a real estate agent. Chat history is stored in a PostgreSQL database (via Supabase) and tied to each buyer's phone number. Key Features 📩 Instant SMS Response: Follows up immediately after form submission. 🤖 AI Chat-Based Qualification: Conversational agent gathers buyer needs and preferences. 🗂 Supabase Chat Memory: Stores chat history tied to the buyer’s phone number to maintain context. 📊 Lead Summary & Agent Handoff: Summarizes conversation and logs it to Google Sheets for the agent. 🔁 Customizable AI Questions: Easily edit the questions asked by the AI to suit your process. 🤝 Connect with Me Description I’m Robert Breen, founder of Ynteractive — a consulting firm that helps businesses automate operations using n8n, AI agents, and custom workflows. I’ve helped clients build everything from intelligent chatbots to complex sales automations, and I’m always excited to collaborate or support new projects. If you found this workflow helpful or want to talk through an idea, I’d love to hear from you. Links 🌐 Website: https://www.ynteractive.com 📺 YouTube: @ynteractivetraining 💼 LinkedIn: https://www.linkedin.com/in/robert-breen 📬 Email: rbreen@ynteractive.com

What It Does Stop chasing the market—let the market come to you. This Done-For-You AI Crypto Bot is a fully configured n8n workflow that scrapes CoinMarketCap for trending cryptocurrencies, analyzes them with cutting-edge OpenAI AI (GPT-4o-mini), and delivers concise, actionable insights directly to your Discord channel. Forget tedious manual research and complex setups; this system is ready for instant deployment, giving you and your community an unfair advantage by providing daily, automated crypto trend intelligence without lifting a finger. It’s the ultimate shortcut to staying ahead in the fast-paced crypto world with a pre-built crypto automation solution. ⚙️ Key Features ⏰ Automated Daily Crypto Updates:* Pre-scheduled to run multiple times a day, ensuring you never miss a trending coin. 🧠 AI-Powered Market Analysis:* Leverages GPT-4o-mini to distill complex data into digestible, insightful summaries. 💬 Seamless Discord Integration:* Delivers beautifully formatted, Markdown-compatible messages directly to your chosen channel. ⚡ Zero-Setup n8n Workflow:* Simply import the JSON, plug in your API keys, and go live within minutes. 📈 Actionable Insights:* Provides ticker, price, market cap, volume, and direct links for quick research and trading decisions. 😩 Pain Points Solved Tired of missing crucial crypto market trends and potential opportunities? Wasting countless hours on manual research and data aggregation from multiple sources? Struggling to provide timely, concise, and professional crypto insights to your community or personal trading strategy? Frustrated by the complexity and time investment of setting up custom AI and automation workflows from scratch? Need a reliable, hands-off solution to stay informed and competitive in the volatile cryptocurrency landscape? 📦 What’s Included Fully configured n8n workflow JSON file (ready to import) Pre-optimized AI prompt for expert crypto analysis Step-by-step setup guide for API keys and Discord integration Lifetime access to workflow updates 🚀 Call to Action Get your AI Crypto Bot live today. Automate insights, dominate trends. 🏷️ Optimized Tags done for you crypto bot, n8n workflow, ai crypto analysis, discord bot, trending coins, coinmarketcap automation, crypto insights, market intelligence, ready made solution, pre built automation, digital product, crypto trading tool, passive income bot

Who’s it for This template is perfect for content creators, social media strategists, and marketing teams who want to uncover trending questions directly from real TikTok audiences. If you spend hours scrolling through videos to find content ideas or audience pain points, this workflow automates the entire research process and delivers clean, ready-to-use insights in minutes. What it does The workflow takes a keyword, searches TikTok for matching creator profiles, retrieves their latest videos, extracts viewer comments, and uses GPT-4 to identify the most frequently asked questions. These questions can be used to inspire new content, shape engagement strategies, or create FAQ-style videos that directly address what your audience is curious about. Here’s what happens step by step: Accepts a keyword from a form trigger Uses Dumpling AI to search TikTok for relevant profiles Fetches the most recent videos from each profile Extracts and cleans comments using a Python script Sends cleaned comments to GPT-4 to find recurring audience questions Saves the top questions and video links into a Data Table for easy review How it works Form Trigger: Collects the keyword input from the user Dumpling AI: Searches TikTok to find relevant creators based on the keyword Video Retrieval: Gets recent videos from the discovered profiles Comments Extraction: Gathers and cleans all video comments using Python GPT-4: Analyzes the cleaned text to extract top audience questions Data Table: Stores the results for easy access and content planning Requirements ✅ Dumpling AI API key stored as credentials ✅ OpenAI GPT-4 credentials ✅ Python node enabled in n8n ✅ A Data Table in n8n to store questions and related video details How to customize Adjust the GPT prompt to refine the tone or format of the extracted questions Add filters to target specific types of TikTok profiles or content niches Integrate the output with your content calendar or idea tracking tool Set up scheduled runs to build a constantly updating library of audience questions Extend the workflow to analyze TikTok hashtags or trends alongside comments > This workflow turns TikTok keyword searches into structured audience insights, helping you quickly discover real questions your audience is asking—perfect for fueling content strategies, campaigns, and engagement.

Trigger & Topic Extraction The workflow starts manually or from a chat/Telegram/webhook input. A “topic extractor” node scans the incoming text and cleans it (handles /topic … commands). If no topic is detected, it defaults to a sample news headline. Style & Structure Setup A style guide node defines the blog’s tone: practical, medium–low formality, clear sections, clean HTML only. It also enforces do’s (citations, links, actionable steps) and don’ts (no clickbait, no low-quality sources). Research & Drafting A GPT node generates a 1,700–1,800 word article following the style guide. Sections include: What happened, Why it matters, Opportunities/risks, Action plan, FAQ. The draft is then polished for clarity and flow. Quality Control A word count guard checks that the article is at least 1,600 words. If too short, a GPT “expand draft” node deepens the Why it matters, Risks, and Action plan sections. Image Creation The final article’s title and content are used to generate an editorial-style image prompt. Leonardo AI creates a cinematic, text-free featured image suitable for Google News/Discover. The image is uploaded to WordPress, with proper ALT text generated by GPT. Publishing to WordPress The final post (title, content, featured image) is automatically published. Sources are extracted from the article, compiled into a “Sources” section with clickable links. Posts are categorized and published immediately.

Auto backup n8n workflows to GitLab with AI-generated documentation This n8n template automatically backs up your workflows to a GitLab repository whenever they're updated or activated, and generates README documentation using AI. This workflow can be aslo added as a sub-workflow to any existing workflow to enable backup functionality. Who's it for This template is perfect for n8n users who want to: Maintain version control of their workflows Create automatic backups in Git repositories Generate documentation for their workflows using AI Keep their workflow library organized and documented How it works The workflow monitors n8n for workflow updates and activations, then automatically saves the workflow JSON to GitLab and generates a README file using OpenAI: Trigger Detection: Uses n8n Trigger to detect when workflows are updated or activated Workflow Retrieval: Fetches the complete workflow data using the n8n API Repository Check: Lists existing files in GitLab to determine if the workflow already exists Smart File Management: Either creates a new file or updates an existing one based on the repository state AI Documentation: Generates a README.md file using OpenAI's GPT model to document the workflow GitLab Storage: Saves both the workflow JSON and README to organized folders in your GitLab repository Requirements GitLab account** with API access and a repository named "all_projects" n8n API credentials** for accessing workflow data OpenAI API key** for generating documentation GitLab personal access token** with repository write permissions How to set up Configure GitLab credentials: Add your GitLab API credentials in the GitLab nodes Set up n8n API: Configure your n8n API credentials for the workflow retrieval node Add OpenAI credentials: Set up your OpenAI API key in the "Message a model" node Update repository details: Modify the owner and repository name in GitLab nodes to match your setup Test the workflow: Save and activate the workflow to test the backup functionality How to customize the workflow Change repository structure**: Modify the file path expressions to organize workflows differently Customize commit messages**: Update the commit message templates in GitLab nodes Enhance AI documentation**: Modify the OpenAI prompt to generate different styles of documentation Add file filtering**: Include conditions to backup only specific workflows Extend triggers**: Add webhook or schedule triggers for different backup scenarios Multiple repositories**: Duplicate GitLab nodes to backup to multiple repositories simultaneously