Workflow Templates

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

Appointment Reminder Agent automates phone call reminders for upcoming appointments by seamlessly connecting Google Calendar with Retell AI. This powerful workflow is designed to help businesses, clinics, and service providers ensure clients never miss their scheduled appointments—reducing no-shows and increasing efficiency. ##Use Cases Healthcare practitioners reminding patients of upcoming visits Salons, spas, and beauty services confirming bookings Consultants, therapists, and coaches sending appointment reminders Any service-based business wanting to reduce missed appointments ##Workflow Overview Trigger – A scheduler node runs every day at 9 AM (configurable) to start the workflow. Fetch Events – Pulls all events scheduled in the next 12 hours from Google Calendar. Extract Details – A Code node parses each event’s description for: Name Phone number (must be in E.164 format, e.g., +14155552671) Reason for appointment Start and end time Configure Retell – Uses credentials to set up: from_number (Retell-registered phone number) agent_id (Retell agent ID) Send Call – Calls Retell AI’s API to place a personalized reminder call to the client. ##Setup Instructions Add your Retell API key to n8n credentials (never hardcode it). Add your Google Calendar account to credentials. Set the from_number (Retell-registered number). Set the agent_id (Retell agent ID). Ensure all calendar event descriptions include required fields (Name, Phone number, Reason, Start & End times) in the specified format. Adjust the scheduler trigger time if needed. ##Requirements Retell AI account with API key Registered Retell phone number Google Calendar account Event descriptions formatted properly with all required details ##Customization Options Modify the trigger schedule (e.g., nightly, hourly, or webhook-based). Add logging or tracking (e.g., use Google Sheets or Airtable to log call attempts/results). Tailor the Retell agent script to suit different appointment types (e.g., “Consultation,” “Follow-up,” “Service Visit”). Expand with additional channels (e.g., SMS or email reminders before or after calls).

🌟 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-Enriched Cold Outreach: Research → Draft → QA → Write-back What this template does Automates cold email drafting from a lead list by: Enriching each lead with LinkedIn profile, LinkedIn company, and Crunchbase data Generating a personalized subject + body with Gemini Auto-reviewing with a Judge agent and writing back only APPROVED drafts to your Data Table Highlights Hands-off enrichment via RapidAPI; raw JSON stored back on each row Two-agent pattern: Creative Outreach Agent (draft) + Outreach Email Judge (QA) Structured outputs guaranteed by LangChain Structured Output Parsers Data Table–native: reads “unprocessed” rows, writes results to the same row Async polling with Wait nodes for scraper task results How it works (flow) Trigger: Manual (replace with Cron if needed) Fetch leads: Data Table “Get row(s)” filters rows where email_subject is empty (pending) Loop: Split in Batches iterates rows Enrichment (runs in parallel): LinkedIn profile: HTTP (company_url) → Wait → Results → Data Table update → linkedin_profile_scrape LinkedIn company: HTTP (company_url) → Wait → Results → Data Table update → linkedin_company_scrape Crunchbase company: HTTP (url_search) → Wait → Results → Data Table update → crunchbase_company_scrape (All calls use host cold-outreach-enrichment-scraper with a RapidAPI key.) Draft (Gemini): “Agent One” composes a concise, personalized email using row fields + enrichment + ABOUT ME block. Structured Output Parser enforces: { "email_subject": "text", "email_content": "text" } Prep for QA: “Email Context” maps email_subject, email_content, and email for the judge. QA (Judge): “Judge Agent” returns APPROVED or REVISE (brief feedback allowed). Route: If APPROVED → Data Table “Update row(s)” writes email_subject + email_body (a.k.a. email_content) back to the row. If REVISE → Skipped; loop continues. Required setup Data Table: “email_linkedin_list” (or your own) with at least: email, First_name, Last_name, Title, Location, Company_Name, Company_site, Linkedin_URL, company_linkedin (if used), Crunchbase_URL, email_subject, email_body, linkedin_profile_scrape, linkedin_company_scrape, crunchbase_company_scrape (string fields for JSON). Credentials: RapidAPI key for cold-outreach-enrichment-scraper (store securely as credential, not hardcoded) Google Gemini (PaLM) API configured in the Google Gemini Chat Model node ABOUT ME block: Replace the sample persona (James / CEO / Company Sample / AI Automations) with your own. Nodes used Data Table** HTTP Request:** AI Agent:** Google Gemini Chat Model** Split in Batches:** Main Loop Set:** RapidAPI-Key Customization ideas Process flags:** Add email_generated_at or processed boolean to prevent reprocessing. Human-in-the-loop:** Send drafts to Slack/Email for spot check before write-back. Delivery:** After approval, optionally email the draft to the sender for review. Quotas & costs RapidAPI: Multiple calls per row (three tasks + result polls). Gemini: Token usage for generator + judge per row. Tune batch size and schedule accordingly. Privacy & compliance You are scraping and storing person/company data. Ensure lawful basis, respect ToS, and minimize stored data.

🤖 AI-Powered Hardware Store Assistant with PostgreSQL & MCP Supercharge your customer service with this conversational AI agent! This n8n workflow provides a complete solution for a hardware store chatbot that connects to a PostgreSQL database in real-time. It uses Google Gemini for natural language understanding and the powerful MCP (My Credential Provider) nodes to securely expose database operations as tools for the AI agent. ✨ Key Features 💬 Conversational Product Queries: Allow users to ask for products by name, category, description, or even technical notes. 📦 Real-time Inventory & Pricing: The agent fetches live data directly from your PostgreSQL database, ensuring accurate stock and price information. 💰 Automatic Quote Generation: Ask the agent to create a detailed quote for a list of materials, and it will calculate quantities and totals. 🧠 Smart Project Advice: The agent is primed with a system message to act as an expert, helping users calculate materials for projects (e.g., "How much drywall do I need for a 10x12 foot room?"). 🛠️ Tech Stack & Core Components Technologies Used 🗄️ PostgreSQL: For storing and managing product data. ✨ Google Gemini API: The large language model that powers the agent's conversational abilities. 🔗 MCP (My Credential Provider): Securely exposes database queries as callable tools without exposing credentials directly to the agent. n8n Nodes Used @n8n/n8n-nodes-langchain.agent: The core AI agent that orchestrates the workflow. @n8n/n8n-nodes-langchain.chatTrigger: To start a conversation. @n8n/n8n-nodes-langchain.lmChatGoogleGemini: The connection to the Google Gemini model. n8n-nodes-base.postgresTool: Individual nodes for querying products by ID, name, category, etc. @n8n/n8n-nodes-langchain.mcpTrigger: Exposes the PostgresTools. @n8n/n8n-nodes-langchain.mcpClientTool: Allows the AI agent to consume the tools exposed by the MCP Trigger. 🚀 How to Get Started: Setup & Configuration Follow these steps to get your AI assistant up and running: Configure your Database: This template assumes a PostgreSQL database named bd_ferreteria with a productos table. You can adapt the PostgresTool nodes to match your own schema. Set up Credentials: Create and assign your PostgreSQL credentials to each of the six PostgresTool nodes. Create and assign your Google Gemini API credentials in the Language Model (Google Gemini) node. Review the System Prompt: The main AI Agent node has a detailed system prompt that defines its persona and capabilities. Feel free to customize it to better fit your business's tone and product line. Activate the Workflow: Save and activate the workflow. You can now start interacting with your new AI sales assistant through the chat interface! 💡 Use Cases & Customization While designed for a hardware store, this template is highly adaptable. You can use it for: Any e-commerce store with a product database (e.g., electronics, clothing, books). An internal IT support bot that queries a database of company assets. A booking assistant that checks availability in a database of appointments or reservations.

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.

🧑‍💻 Description This workflow automatically compares the version of your n8n instance with the latest release available. Keeping your n8n instance up-to-date is essential for security patches, bug fixes, performance improvements, and access to new automation features. By running this workflow, you’ll know right away if your instance is behind and whether it’s time to upgrade. After the comparison, the workflow clearly shows whether your instance is up-to-date or outdated, along with the version numbers for both. This makes it easy to plan updates and keep your automation environment secure and reliable. ⚙️ Setup Instructions 1️⃣ Set Up n8n API Credentials In your n8n instance → go to Admin Panel → API Copy your API Key In n8n → Credentials → New → n8n API Paste the API Key Save it Attach this credential to the n8n node (Set up your n8n credentials) ✅ How It Works Get Most Recent n8n Version** → Fetches the latest release info from docs.n8n.io. Extract Version + Clean Value** → Parses the version string for accuracy. Get your n8n version** → Connects to your own n8n instance via API and retrieves the current version. Compare* → Evaluates the difference and tells you if your instance is *current* or needs an *update**. 🎛️ Customization Guidance Notifications**: Add an Email or Slack node to automatically notify your team when a new n8n update is available. Scheduling: Use a **Schedule Trigger to run this workflow daily or weekly for ongoing monitoring. Conditional Actions**: Extend the workflow to log version mismatches into Google Sheets, or even trigger upgrade playbooks. Multi-Instance Tracking**: Duplicate the version-check step for multiple n8n environments (e.g., dev, staging, production). 💬 Example Output “Your instance (v1.25.0) is up-to-date with the latest release (v1.25.0).” “Your instance (v1.21.0) is behind the latest release (v1.25.0). Please update to get the latest bug fixes and features.” 📬 Contact Need help setting up API credentials or automating version checks across environments? 📧 robert@ynteractive.com 🔗 Robert Breen 🌐 ynteractive.com

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.