Build custom workflows automatically with GPT-4o, RAG, and web search
🚀 What the “Agent Builder” template does Need to turn a one-line chat request into a fully-wired n8n workflow template—complete with AI agents, RAG, and web-search super-powers—without lifting a finger? That’s exactly what Agent Builder automates: Listens to any incoming chat message (via the Chat Trigger). Spins up an AI architect that analyses the request, searches the web, reads n8n docs from a Pinecone vector store, and designs the smallest possible set of nodes. Auto-generates a ready-to-import JSON template and hands it back as a downloadable file—plus all the supporting assets (embeddings, vector store etc.) so the next prompt is even smarter. Think of it as your personal “workflow chef”: you shout the order, it shops for ingredients, cooks, plates, and serves the meal. All you do is eat. --- 🤗 Who will love this? No-code builders / power users who don’t want to wrestle with AI node wiring. Agencies & consultants delivering lots of bespoke automations. Internal platform teams who need a “workflow self-service portal” for non-technical colleagues. --- 🧩 How it’s wired | Sub-process | What happens inside | Key nodes | | -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------- | | Web Crawler (optional) | Firecrawl scrapes docs.n8n.io (or any URL you drop in) and streams raw markdown back. | Set URL → HTTP Request (Extract) → Wait & Retry | | RAG Trainer | Splits the scraped docs, embeds them with OpenAI, and upserts vectors into Pinecone. | Recursive Text Splitter → Embeddings OpenAI → Train Pinecone | | Agent Builder | The star of the show – orchestrates GPT-4o (via OpenRouter), SerpAPI web-search, your Pinecone index and a Structured Output Parser to produce → validate → prettify the final n8n template. | Chat Trigger → AI Agent → OpenAI (validator) → Code (extract) → Convert to JSON file | Every arrow in the drawn workflow is pre-connected, so the generated template always passes n8n’s import check. --- 🛠️ Getting set up (5 quick creds) | Service | Credential type | | --------------------------------------------------- | ---------------------------------------------------------- | | OpenAI / Azure OpenAI – embeddings & validation | OpenAI API | | Pinecone – vector store | Pinecone API | | OpenRouter – GPT-4o LLM | OpenRouter API Key | | SerpAPI – web search | SerpAPI Key | | Firecrawl (only if you plan to crawl) | Generic Header Auth → Authorization: Bearer YOUR_KEY | Each node already expects those creds; just create them once, select in the dropdown, hit Activate. --- 🏃♀️ What a typical run looks like User says: “Build me a workflow that monitors our support inbox, summarises new tickets with GPT and posts to Slack.” Chat Trigger captures the message. AI Agent: queries Pinecone for relevant n8n docs, fires a SerpAPI search for “n8n gmail trigger example”, sketches an architecture (Gmail Trigger → GPT Model → Slack). The agent returns JSON ➜ OpenAI node double-checks field names, connections, type versions. A tiny JS Code node slices the JSON out of the chat blob and saves it as template.json ready for download. You download, import, and… done. --- ✏️ Customising Switch the LLM – plug in Claude 3, Gemini 1.5, or a local model; just swap the OpenRouter Chat Model* node. Point the RAG at your own docs – change the crawl URL or feed PDFs via the Default Data Loader*. Hard-code preferred nodes – edit the “User node preferences” in the system message so the agent always chooses Notion* for databases, etc. --- 🥡 Take-away notes It's a prototype feel free to experiment with it to improve its capabilities. Have fun building!
By FranzAutomate competitor research with Exa.ai, Notion and AI agents
This n8n workflow demonstrates a simple multi-agent setup to perform the task of competitor research. It showcases how using the HTTP request tool could reduce the number of nodes needed to achieve a workflow like this. How it works For this template, a source company is defined by the user which is sent to Exa.ai to find competitors. Each competitor is then funnelled through 3 AI agents that will go out onto the internet and retrieve specific datapoints about the competitor; company overview, product offering and customer reviews. Once the agents are finished, the results are compiled into a report which is then inserted in a notion database. Check out an example output here: https://jimleuk.notion.site/2d1c3c726e8e42f3aecec6338fd24333?v=de020fa196f34cdeb676daaeae44e110&pvs=4 Requirements An OpenAI account for the LLM. Exa.ai account for access to their AI search engine. SerpAPI account for Google search. Firecrawl.dev account for webscraping. Notion.com account for database to save final reports. Customising the workflow Add additional agents to gather more datapoints such as SEO keywords and metrics. Not using notion? Feel free to swap this out for your own database.
By JimleukAI personal assistant for Google Tasks
Who’s it for This template is designed for anyone who wants to use Telegram as a personal AI assistant hub. If you often juggle tasks, emails, calendars, and expenses across multiple tools, this workflow consolidates everything into one seamless AI-powered agent. What it does Jarvis listens to your Telegram messages (text or audio) and processes them with OpenAI. Based on your request, it can:
By minhCompetitor price monitoring with web scraping,Google Sheets & Telegram
How it works ++Download the google sheet here++ and replace this with the googles sheet node: Google sheet , upload to google sheets and replace in the google sheets node. Scheduled trigger: Runs once a day at 8 AM (server time). Fetch product list: Reads your “master” sheet (product_url + last known price) from Google Sheets. Loop with delay: Iterates over each row (product) one at a time, inserting a short pause (20 s) between HTTP requests to avoid blocking. Scrape current price: Loads each product_url, extracts the current price via a simple CSS selector. Compare & normalize: Compares the newly scraped price against the “lastprice” from your sheet, calculates percentage change, and tags items where pricechanged == true. On price change: Send alert: Formats a Telegram message (“Price Drop” or “Price Hike”) and pushes it to your configured chat. Log history: Appends a new row to a separate “price_tracking” tab with timestamp, old price, new price, and % change. Update master sheet: After a 1 min pause, writes the updated current_price back to your “master” sheet so future runs use it as the new baseline. Set up step Google Sheets credentials (~5 min) Create a Google Sheets OAuth credential in n8n. Copy your sheet’s ID and ensure you have two tabs: productdata (columns: producturl, price) pricetracking (columns: timestamp, producturl, lastprice, currentprice, pricediffpct, price_changed) Paste the sheet ID into both Google Sheets nodes (“Read” and “Append/Update”). Telegram credentials (~5 min) Create a Telegram Bot token via BotFather. Copy your chat_id (for your target group or personal chat). Add those credentials to n8n and drop them into the “Telegram” node. Workflow parameters (~5 min) Verify the schedule in the Schedule Trigger node is set to 08:00 (or adjust to your preferred run time). In the Loop Over Items node, confirm “Batch Size” is 1 (to process one URL at a time). Adjust the Delay to avoid Request Blocking node if your site requires a longer pause (default is 20 s). In the Parse Data From The HTML Page node, double-check the CSS selector matches how prices appear on your target site. Once credentials are in place and your sheet tabs match the expected column names, the flow should be ready to activate. Total setup time is under 15 minutes—detailed notes are embedded as sticky comments throughout the workflow to help you tweak selectors, change timeouts, or adjust sheet names without digging into code.
By Tony PaulGenerate text images from the Free DummyJSON API using the HTTP request node
Who is this for? This workflow template is ideal for marketers, designers, content creators, and developers who need to generate custom text-based images dynamically. Whether you want to create social media graphics, placeholder images, or text-based LinkedIn carousels, this workflow provides a simple, no-code solution using an API that requires no authentication. What problem does this workflow solve? Creating text-based images often requires design software or complex integrations with graphic tools. This workflow eliminates that hassle by allowing users to generate images with custom text, font styles, colors, and background colors using a simple HTTP request. It’s perfect for automating image generation without relying on external tools or manual effort. What this workflow does This workflow leverages an HTTP request to a free API that generates text-based images dynamically. Here's what it enables you to do: Define custom image text Set image dimensions (width x height) Choose a background color and text color using hex codes Select a font family and font size Specify the image format (PNG, JPG, or WebP) The generated image can be used immediately, making it ideal for automating content creation workflows. Setup Open the workflow in n8n. Modify the Set node to define your preferred image properties: text: The message displayed on the image. size: Image dimensions (e.g., 500x300 pixels). backgroundColor: Hex color code for the background. textColor: Hex color code for the text. fontFamily: Select from available font options (e.g., Pacifico, Ubuntu). fontSize: Define the text size. type: Choose the image format (PNG, JPG, or WebP). Execute the workflow to generate an image. The HTTP request returns the generated image, ready for use. How to customize this workflow Adjust the Set node values to match your desired design. Use dynamic data for text, allowing personalized images based on user input. Automate image delivery by adding email or social media posting nodes. Integrate this workflow into larger automation sequences, such as content marketing pipelines.
By Akram KadriPersonal portfolio CV Rag chatbot - with conversation store and email summary
Personal Portfolio CV Rag Chatbot - with Conversation Store and Email Summary Target Audience This template is perfect for: Individuals looking to create a working professional and interactive personal portfolio chatbot. Developers interested in integrating RAG Chatbot functionality with conversation storage. Description Create a stunning Personal Portfolio CV with integrated RAG Chatbot capabilities, including conversation storage and daily email summaries. 2.Features: Training: Setup Ingestion stage Upload your CV to Google Drive and let the Drive trigger updates to read your resume cv and convert it into your vector database (RAG purpose). Modify any parts as needed. Chat & Track: Use any frontend/backend interface to call the chat API and chat history API. Reporting Daily Chat Conversations: Receive daily automatic summaries of chat conversations. Data stored via NocoDB. 3.Setup Guide: Step-by-Step Instructions: Ensure all credentials are ready. Follow the notes provided. Ingestion: Upload your CV to Google Drive. The Drive triggers RAG update in your vector database. You can change the folder name, files and indexname of the vector database accordingly. Chat: Use any frontend/backend interface to call the chat API (refer to the notes for details) . [optional] Use any frontend/backend interface to call the update chat history API (refer to the notes for details). 3.Tracking Chat: Get daily automatic summaries of chat conversations.Format email conversations report as you like. You are ready to go!
By Sean LonAutomate Google Business reviews with AI responses, Slack alerts & sheets logging
How it works This workflow automatically monitors your Google Business Profile for new reviews and uses AI to generate personalized response suggestions. When a review is detected, the system formats the review data, generates an appropriate AI response based on the rating and content, sends differentiated Slack notifications (urgent alerts for negative reviews, celebration messages for positive ones), and logs everything to Google Sheets for tracking and analysis. Who is this for Local business owners, restaurant managers, retail store operators, service providers, and reputation management teams who want to stay on top of customer feedback and respond promptly with thoughtful, AI-generated responses. Perfect for businesses that receive regular reviews and want to maintain consistent, professional customer engagement without manually monitoring multiple platforms. Requirements Google Business Profile: Active business profile with review monitoring enabled Google API Credentials: Service account with access to Business Profile API and Sheets API Slack Webhook: Incoming webhook URL for team notifications Google Sheets: Spreadsheet with "Reviews" sheet for logging review data Environment Variables: Setup for secure credential storage Basic n8n Knowledge: Understanding of triggers, expressions, and credential management How to set up Configure Google Business Profile API - Create Google Cloud project, enable Business Profile API, set up service account credentials, and add your Business Account ID and Location ID to environment variables Prepare Google Sheets Integration - Create Google Sheet with "Reviews" sheet, add required headers, set GOOGLESHEETID environment variable, and ensure service account has edit access Setup Slack Notifications - Create Slack webhook in your workspace and set SLACKWEBHOOKURL environment variable Customize Business Settings - Update Business Configuration node with your business name and adjust AI response tone preferences How to customize the workflow Modify the Business Configuration node to change your business name, adjust the AI response tone (professional, friendly, casual), customize Slack notification messages in the HTTP Request nodes, or add additional review sources by duplicating the trigger structure.
By Grace Gbadamosi🤖 AI customer support agent - never sleep, never miss a customer again!
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 24/7 AI Support Agent: Handle 10x More Customers While You Sleep! 💰 --- 🚀 Transform Your Customer Support Into a Profit Machine Stop losing customers to slow responses! This revolutionary AI Customer Support Agent workflow turns your n8n into a 24/7 customer service powerhouse that: ✅ Handles unlimited customers simultaneously ✅ Responds in under 3 seconds across ALL channels ✅ Reduces support costs by 70% (proven ROI) ✅ Works while you sleep - never miss another sale ✅ Escalates complex issues to humans automatically --- 💎 What You Get ⚡ The Workflow Multi-Channel Integration: WhatsApp, Telegram, Email, Website Chat GPT-4 Powered Intelligence: Context-aware, professional responses Smart Escalation System: Knows when humans are needed Conversation Memory: Remembers every customer interaction Analytics Dashboard: Track performance and ROI 📋 Setup Materials Complete JSON Workflow (drag & drop installation) Step-by-Step PDF Guide (non-technical friendly) Troubleshooting Guide (solve any issue) --- 🔥 Why This Workflow is a Game-Changer Problem It Solves: Lost Sales: 67% of customers abandon purchases due to poor support High Costs: Average support agent costs $50,000+/year Limited Hours: Miss 60% of inquiries outside business hours Inconsistent Quality: Human agents have bad days Scaling Issues: Can't hire fast enough for growth The Solution: Zero Response Delays: Instant replies 24/7/365 Consistent Excellence: Perfect responses every time Unlimited Scaling: Handle 1 or 10,000 customers Massive Cost Savings: $500/month vs $50,000/year per agent Never Misses Anything: Catches every single inquiry --- 🛠️ Integrations & Tools Used AI & Automation: OpenAI GPT-4 Turbo - Industry-leading AI responses n8n Workflow Engine - Reliable automation backbone Smart Decision Trees - Perfect escalation logic Communication Channels: WhatsApp Business API - Reach 2+ billion users Telegram Bot API - Lightning-fast messaging IMAP/SMTP Email - Professional email support Webhook Integration - Connect any chat widget Data & Analytics: Notion Database - Conversation history & analytics Slack Integration - Instant team notifications Custom Webhooks - Connect to any CRM/tool Advanced Features: Multi-language Support - Serve global customers Sentiment Analysis - Detect frustrated customers Auto-categorization - Organize inquiries automatically Performance Metrics - Track ROI and efficiency --- 🎯 Perfect For: E-commerce Businesses Handle pre-sale questions instantly Provide order status updates Resolve shipping inquiries Increase conversion rates by 34% SaaS Companies Technical support automation Onboarding assistance Feature explanations Reduce churn by 28% Service Businesses Appointment scheduling Service inquiries Quote requests Increase booking rates by 45% Digital Agencies Client communication Project updates Scope clarifications Improve client satisfaction by 52% --- ⚡ Installation is RIDICULOUSLY Easy Step 1: Import JSON (2 minutes) Download the workflow file Import into your n8n instance Activate the workflow Step 2: Configure APIs (10 minutes) Add your OpenAI API key Connect your messaging accounts Set up email credentials Step 3: Test & Launch (5 minutes) Send test messages Verify responses Go live and start saving money! Total Setup Time: Under 20 minutes Technical Skill Required: None (detailed guide included) --- 🔒 Enterprise-Grade Security & Reliability Security Features: End-to-end encryption for all communications API rate limiting to prevent abuse Data privacy compliance (GDPR ready) Secure credential storage in n8n vault Reliability Features: 99.9% uptime with proper n8n hosting Automatic error handling and recovery Failover to human agents when needed Complete conversation logging for compliance Scalability: Handles 1000+ concurrent chats Processes 10,000+ messages/day Auto-scales with your business No performance degradation
By Amanda BenksExtract and organize Colombian invoices with Gmail, GPT-4o & Google Workspace
🧾 Personal Invoice Processor This N8N workflow automates the extraction and organization of personal invoices in Colombia received via Gmail. It includes the following key steps: 🔁 Flow Summary Email Trigger Polls Gmail every 30 minutes for emails with .zip attachments (assumed to contain invoices). Expects ZIP file following DIAN standards. ZIP File Handling Extracts all files. Filters only PDF and XML files for processing. Data Extraction & Processing Uses LangChain Agent + OpenAI (GPT-4o-mini) to extract: Tipo de documento (Factura / Nota Crédito) Número de factura Fecha de emisión (YYYY-MM-DD) NIT emisor y receptor (sin dígito de verificación) Razón social del emisor Subtotal, IVA, Total CUFE Resumen de compra (max 20 words, formatted sentence) Validation Ensures Total = Subtotal + IVA using a calculator node. Storage Uploads the original PDF to Google Drive. Renames the file to: YYYY-MM-DD-NUMERO_FACTURA.pdf. Inserts or updates invoice details in Google Sheets using a unique Key (NITEmisor + NumeroFactura) to prevent duplication. --- > ⚙️ Designed for personal use with minimal latency tolerance and high automation reliability.
By Juan SanchezReal estate property search with SQL database and email delivery
Transform property searches into personalized experiences! This powerful automation delivers dream home matches straight to clients' inboxes with professional CSV reports - all from a simple web form. 🚀 What this workflow does Create a complete real estate search experience that works 24/7: ✨ Smart Web Form - Beautiful property search form captures client preferences 🧠 Dynamic SQL Builder - Intelligently creates optimized queries from user input ⚡ Lightning Database Search - Scans 1000+ properties in milliseconds 📊 Professional CSV Export - Excel-ready reports with complete property details 📧 Automated Email Delivery - Personalized emails with property previews and attachments 🎯 Perfect for: Real Estate Agents - Generate leads and impress clients with instant service Property Managers - Automate tenant matching and recommendations Brokerages - Provide 24/7 self-service property discovery Developers - Showcase available properties with professional automation 💡 Why this workflow is a game-changer > "From property search to professional report delivery in under 30 seconds!" ⚡ Instant Results: Zero wait time for property matches 🎨 Professional Output: Beautiful emails that showcase your expertise 📱 Mobile Optimized: Works flawlessly on all devices 🧠 Smart Filtering: Only searches criteria clients actually specify 📈 Infinitely Scalable: Handles unlimited searches simultaneously 📊 Real Estate Data Source Built on authentic US market data from the Github: 🏘️ 1000+ Real Properties across all US states 💰 Actual Market Prices from legitimate listings 🏠 Complete Property Details (bedrooms, bathrooms, square footage, lot size) 📍 Verified Locations with accurate cities, states, and ZIP codes 🏢 Broker Information for authentic real estate context 🛠️ Quick Setup Guide Prerequisites Checklist ✅ [ ] SQL Server database (MySQL/PostgreSQL also supported) [ ] Gmail account for automated emails [ ] n8n instance (cloud or self-hosted) [ ] 20 minutes setup time Step 1: Import Real Estate Data 📥 🌟 Download the data 💾 Download CSV file (1000+ properties included) 🗄️ Create SQL Server table with this exact schema: sql CREATE TABLE [REALTOR].[dbo].[realtorusaprice] ( brokered_by BIGINT, status NVARCHAR(50), price DECIMAL(12,2), bed INT, bath DECIMAL(3,1), acre_lot DECIMAL(10,8), street BIGINT, city NVARCHAR(100), state NVARCHAR(50), zip_code INT, house_size INT, prevsolddate NVARCHAR(50) ); 📊 Import your CSV data into this table Step 2: Configure Database Connection 🔗 🔐 Set up Microsoft SQL Server credentials in n8n ✅ Test connection to ensure everything works 🎯 Workflow is pre-configured for the table structure above Step 3: Gmail Setup (The Magic Touch) 📧 🌐 Visit Google Cloud Console 🆕 Create new project (or use existing) 🔓 Enable Gmail API in API Library 🔑 Create OAuth2 credentials (Web Application) ⚙️ Add your n8n callback URL to authorized redirects 🔗 Configure Gmail OAuth2 credentials in n8n ✨ Authorize your Google account Step 4: Launch Your Property Search Portal 🚀 📋 Import this workflow template (form is pre-configured) 🌍 Copy your webhook URL from the Property Search Form node 🔍 Test with a sample property search 📨 Check email delivery with CSV attachment 🎉 Go live and start impressing clients! 🎨 Customization Playground 🏷️ Personalize Your Brand javascript // Customize email subjects in the Gmail node "🏠 Exclusive Properties Curated Just for You - ${results.length} Perfect Matches!" "✨ Your Dream Home Portfolio - Handpicked by Our Experts" "🎯 Hot Market Alert - ${results.length} Premium Properties Inside!" 🔧 Advanced Enhancements 🎨 HTML Email Templates: Create stunning visual emails with property images 📊 Analytics Dashboard: Track popular searches and user engagement 🔔 Smart Alerts: Set up automated price drop notifications 📱 Mobile Integration: Connect to React Native or Flutter apps 🤖 AI Descriptions: Add ChatGPT for compelling property descriptions 🌍 Multi-Database Flexibility javascript // Easy database switching // MySQL: Replace Microsoft SQL node → MySQL node // PostgreSQL: Swap for PostgreSQL node // MongoDB: Use MongoDB node with JSON queries // Even CSV files: Use CSV reading nodes for smaller datasets 🚀 Advanced Features & Extensions 🔥 Pro Tips for Power Users 🔄 Bulk Processing: Handle multiple searches simultaneously 💾 Smart Caching: Store popular searches for lightning-fast results 📈 Lead Scoring: Track which properties generate most interest 📅 Follow-up Automation: Schedule nurturing email sequences 🎯 Integration Possibilities 🏢 CRM Connection: Auto-add qualified leads to your CRM 📅 Calendar Integration: Add property viewing scheduling 📊 Price Monitoring: Track market trends and price changes 📱 Social Media: Auto-share featured properties to social platforms 💬 Chat Integration: Connect to WhatsApp or SMS for instant alerts 🔗 Expand Your Real Estate Automation 🌟 Related Workflow Ideas 🤖 AI Property Valuation - Add machine learning for price predictions 📊 Market Analysis Reports - Generate comprehensive market insights 📱 SMS Property Alerts - Instant text notifications for hot properties 🏢 Commercial Property Search - Adapt for office and retail spaces 💹 Investment ROI Calculator - Add financial analysis for investors 🏘️ Neighborhood Analytics - Include school ratings and demographics 🛠️ Technical Extensions 📷 Image Processing: Auto-resize and optimize property photos 🗺️ Map Integration: Add interactive property location maps 📱 Progressive Web App: Create mobile app experience 🔔 Push Notifications: Real-time alerts for saved searches 🚀 Get Started Now Import this workflow template Configure your database and Gmail Customize branding and messaging Launch your professional property search portal Watch client satisfaction soar!
By DataMinexGenerate YouTube SEO content & thumbnail from video scripts with GPT-4o & Runway
Who’s it for This template is ideal for YouTube video creators who spend a lot of time manually generating SEO assets like descriptions, tags, titles, keywords, and thumbnails. If you're looking to automate your YouTube SEO workflow, this is the perfect solution for you. How it works / What it does Connect a Google Sheet to n8n and pull in the Hindi script (or any language). Use OpenAI to generate SEO content: Video description Tags Keywords Titles Thumbnail titles etc. Use the generated description as input to create a thumbnail image using an image generation API. Store all outputs in the same Google Sheet in separate columns. Optionally, use tools like VidIQ or TubeBuddy to test the SEO strength of generated titles, tags, and keywords. 💡 Note: This example uses Runway’s image generation API, but you can plug in any other image-generation service of your choice. Requirements A Google Sheet with clearly named columns Hindi, English, or other language scripts in the sheet OpenAI API key Runway API key (or any other image generation API) How to set up You can set up this workflow in 15 minutes by following the pre-defined steps. Replace the manual Google Sheet trigger with a scheduled trigger for daily or timed automation. You may also swap Google Sheets with any database or data source of your choice. No Google Sheets API required. Requires minimal JavaScript or Python knowledge for advanced customizations.
By Janak PatelAutomate outbound voice calls from Go High Level opportunities with Vapi
This workflow triggers when a new opportunity is created in Go High Level (GHL), fetches the associated contact details, and initiates an outbound call using Vapi. The call is made by a Vapi assistant configured with the appropriate credentials. --- 🧾 Requirements Go High Level (GHL) A Go High Level account GHL developer private app and credentials enabled in n8n Webhook URL from n8n added to your GHL private app Vapi A Vapi account with credit A connected phone number to make calls An assistant created and ready to make calls Your Vapi API key 🔗 Useful Links GHL Docs Vapi Docs n8n GHL Credentials Setup --- 🔄 Workflow Breakdown Trigger: GHL Opportunity Created Triggered by a Webhook (POST) from Go High Level when a new opportunity is created. Webhook URL must be enabled in your GHL private app. Get a GHL Contact Retrieves contact details from GHL CRM using the contact ID from the opportunity. Includes information such as phone number, name, and custom fields. Wait 5 Minutes Introduces a short delay before making the call to avoid immediate outreach. Helps ensure data is synced and gives the system time for any follow-up automation. Set Vapi Fields (Manual Step) Set the required fields for the Vapi API call: vapiPhoneNumberId – the number id making the call vapiAssistantId – the assistant who will handle the call vapiApi – your secure Vapi API key Start Outbound Vapi Call Sends a POST request to https://api.vapi.ai/call Payload includes: Contact’s phone number Selected Vapi assistant Vapi phone number id to start the call --- ✅ Summary This n8n automation connects your CRM (Go High Level) with voice automation (Vapi) to immediately respond to new opportunities. Once a lead is created, they will receive a personalized voice call from a Vapi AI assistant. --- 🙋♂️ Need Help? Feel free to contact us at 1 Node Get instant access to a library of free resources we created.
By Aitor | 1Node