AI n8n Workflows

n8n AI workflow templates and automation recipes2728 free workflow templates ready to import.

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Capture and score website leads with Gemini RAG, Supabase, Google Sheets and Slack alerts

Turn your website chat into a lead-generating machine. Visitors chat with an AI that answers questions from your knowledge base, captures their contact info, syncs everything to Google Sheets, and automatically scores leads based on buying signals - all without manual intervention. What it does Gates conversations behind identity capture (requires name + email before answering questions) Saves user identity to Supabase per session (name, email, session_id)—supports updates if user changes their

22個のノード· 👁 1agentchatchattrigger

作成者:Dean Pike

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Post Long-Form Threads to X / Twitter, Threads, and Bluesky

Description Fully automated pipeline where you send an email to yourself with a rough idea (subject contains “thread”), n8n’s Gmail trigger picks it up, OpenAI ChatGPT rewrites/apply a viral-thread template, and Blotato posts the long-form thread to X/Twitter, Bluesky, and Meta Threads (optionally schedule or include images/videos). Template is easily extensible to other social platforms. Who Is This For? Digital creators, content marketers, social media managers, agencies, entrepreneurs, and i

11個のノード· 👁 1@blotato/n8n-nodes-blotato.blotatoagentgmail

作成者:Sabrina Ramonov 🍄

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Automate WooCommerce Inventory & AI Product Drafting with n8n

Stop manual data entry and price monitoring with this advanced n8n automation designed for high-scale e-commerce operations. This workflow bridges the gap between supplier websites and your WooCommerce storefront by leveraging BrowserAct for intelligent web scraping and Google Gemini AI for content enrichment. The process begins by monitoring supplier stock levels and pricing in real-time. If a product exists, the workflow instantly synchronizes your inventory to prevent overselling. For new arrivals, the system utilizes a Gemini-powered agent to scrape technical specifications and transform them into SEO-optimized product titles and descriptions. By integrating Google Sheets for data logging and Slack for instant status notifications, this template provides a robust command center for dropshippers and multi-vendor retailers. It eliminates the human error associated with manual updates, ensuring your store is always profitable and your product listings are professionally curated without lifting a finger. **Common Use Cases:** - Automated Dropshipping Sync: Monitor supplier stock changes and auto-update retail prices based on margin rules. - AI-Enhanced Catalog Expansion: Automatically draft SEO-friendly product descriptions for new inventory items scraped from manufacturer portals. - Multi-Channel Price Guard: Prevent losses by instantly syncing WooCommerce prices whenever a third-party distributor changes their wholesale cost.

20個のノード· 👁 1agentcodegooglesheets

作成者:Madame AI Team | Kai

medium

AI LinkedIn Automation: RSS to Visual Posts with Gemini & n8n

Stop manual content curation and scale your professional brand with this high-performance n8n automation. This workflow functions as a 24/7 digital editor for your LinkedIn Company Page. It begins by monitoring industry-specific RSS feeds to capture the latest trends and news. Instead of simple reposting, the engine utilizes Google Gemini AI to critically analyze the source material, selecting only the highest-value insights that resonate with your target audience. The intelligence layer then transforms long-form articles into engaging, human-centric LinkedIn copy, while simultaneously triggering the Templated.io API to generate branded, high-conversion visuals featuring dynamic headlines. This ensures your posts aren't just text-heavy, but visually striking and consistent with your corporate identity. By integrating structured output parsers and conditional logic, the flow guarantees that only polished, high-quality content reaches your feed. This is an essential solution for marketing agencies and thought leaders who need to maintain a consistent social media presence without the overhead of manual copywriting and graphic design. **Common Use Cases:** - Automated Thought Leadership: Curating niche industry news to position executives as subject matter experts. - Agency Content Scaling: Managing multiple client LinkedIn pages by syncing specific industry feeds to unique brand templates. - Real Estate & Market Updates: Automatically turning daily market report RSS feeds into visual social media snippets.

15個のノード· 👁 1agentaggregatecode

作成者:Shrishti S Nagar

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AI Telegram Chatbot for Lead Gen: n8n, RAG & GPT-4o Guide

Transform your customer engagement with this advanced n8n automation that bridges the gap between instant AI support and structured lead management. This workflow deploys a sophisticated RAG (Retrieval-Augmented Generation) chatbot via Telegram, utilizing GPT-4o and Pinecone vector storage to provide hyper-accurate answers based on your specific business documentation. Unlike basic bots, this system intelligently distinguishes between general inquiries and high-intent sales queries. When a potential lead interacts, the AI agent autonomously extracts contact details and syncs them directly to Google Sheets in real-time. This eliminates manual data entry and ensures your sales team never misses a follow-up opportunity. The workflow utilizes a Buffer Window Memory to maintain conversational context, ensuring a human-like interaction. By automating repetitive FAQs and centralizing lead capture, businesses can reduce support overhead by up to 40% while maintaining a 24/7 presence. It is the perfect solution for scaling agencies and service providers who need a white-label support infrastructure that works while they sleep. **Common Use Cases:** - Real Estate Lead Capture: Qualifying property inquiries and booking viewings via Telegram. - SaaS Technical Support: Automated troubleshooting using a private knowledge base and Pinecone. - E-commerce Concierge: Handling product availability questions and collecting pre-order contact info.

10個のノード· 👁 1agentchattriggerembeddingsopenai

作成者:Karol Otręba

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AI Gmail Assistant: Human-in-the-Loop GPT-4o Email Automation

Transform your inbox into a high-efficiency productivity engine with this advanced n8n workflow. By leveraging GPT-4o-mini and LangChain, this automation intelligently categorizes incoming Gmail messages and drafts contextually aware responses. Unlike fully autonomous bots that risk sending inaccurate information, this 'Human-in-the-Loop' pattern creates a draft and pauses for your approval, ensuring every outgoing message maintains your professional brand voice. The technical flow begins with a Gmail trigger that captures new emails. A LangChain text classifier determines the intent of the message, which then routes through an LLM chain to generate a structured, personalized reply. Using structured output parsers, the workflow prepares a draft within your Gmail account. Finally, it utilizes an approval mechanism, allowing you to review, edit, or send the AI-generated text with a single click. This architecture eliminates the 'blank page' syndrome and slashes response times by up to 80%, making it an essential tool for scaling operations without sacrificing the human touch. **Common Use Cases:** - Scalable Customer Support: Automatically draft technical troubleshooting steps for common tickets for agent verification. - B2B Sales Outreach: Instant drafting of personalized follow-ups for inbound leads based on specific inquiry details. - Recruitment Screening: Streamline high-volume candidate communication by drafting interview invites or status updates.

10個のノード· 👁 1chainllmgmailgmailtrigger

作成者:Yusuke Yamamoto

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Build a Custom AI Knowledge Base with n8n, Supabase & Drive

Transform your fragmented company data into a high-performance AI knowledge assistant with this advanced n8n RAG (Retrieval-Augmented Generation) automation. Unlike basic chatbots, this workflow establishes a continuous synchronization pipeline between your Google Drive folders and a Supabase vector database. It utilizes OpenAI’s advanced embeddings to index your documents, ensuring that every response generated by the LangChain agent is grounded in your specific business facts rather than generic AI training data. The automation handles the heavy lifting of document management: it monitors for new files, extracts text, handles deduplication, and manages long-term memory via Postgres. This prevents 'hallucinations' by forcing the AI to reference your internal PDFs and docs before answering. By automating the data ingestion and retrieval cycle, you eliminate the manual task of updating AI models. This setup is perfect for organizations needing a secure, private, and scalable way to query their internal documentation in real-time, providing a seamless bridge between cloud storage and conversational intelligence. **Common Use Cases:** - Automated Customer Support Desk for complex technical product manuals - Internal Legal & Compliance AI for searching corporate policy documents - Sales Enablement Bot to query past proposals and case studies during calls

32個のノード· 👁 1agentchattriggerdocumentdefaultdataloader

作成者:Jainik Sheth

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Automate Zoho CRM Leads with AI Agents & MCP (n8n Guide)

Transform your sales operations by deploying an autonomous AI Agent to manage your Zoho CRM pipeline. This advanced n8n workflow leverages the Model Context Protocol (MCP) and OpenAI’s GPT models to bridge the gap between natural language and structured data management. Instead of manual data entry, users can interact with their CRM using conversational commands to instantly create, retrieve, or update lead records. The flow utilizes a LangChain-powered agent equipped with a Buffer Window Memory to maintain context across interactions, ensuring seamless lead qualification and follow-ups. By integrating the n8n Zoho CRM toolset with an MCP Client, this template eliminates the friction of navigating complex CRM interfaces. It is ideal for sales teams looking to automate repetitive admin tasks, maintain high data integrity, and respond to opportunities faster. From updating lead statuses after a meeting to bulk-fetching prospects for outreach, this automation serves as a 24/7 virtual sales assistant that understands your business logic and executes tasks with precision. **Common Use Cases:** - Voice-to-CRM Lead Entry: Convert transcribed sales meeting notes into structured Zoho CRM leads automatically using AI interpretation. - Automated Lead Qualification: Use the AI agent to analyze incoming lead data and update custom fields or priority scores based on pre-defined business criteria. - Conversational Pipeline Audits: Allow sales managers to query lead statuses and recent updates using natural language via Slack or Mattermost integrations.

11個のノード· 👁 1agentchattriggerlmchatopenai

作成者:Rohit Dabra

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AI BIM Cost Estimation: Revit & IFC to Excel with n8n

Transform your pre-construction phase with this advanced AI-driven BIM cost estimation workflow. By bridging the gap between architectural models and financial forecasting, this automation eliminates hours of manual data entry and price research. The process begins by ingesting architectural data from Revit or IFC files, utilizing a local exporter when necessary. It then leverages the analytical power of GPT-4 and Claude to interpret complex element groups, applying real-time material pricing and quantity takeoff logic. Unlike traditional spreadsheets, this workflow evaluates data confidence and enriches each line item with context-aware financial insights. The final output is a professional-grade suite of deliverables: a comprehensive multi-sheet Excel workbook for granular analysis and a polished HTML executive summary for stakeholder presentations. This is an essential tool for AEC firms looking to minimize human error in quantity surveying, accelerate the bidding process, and maintain high-accuracy cost projections using state-of-the-art LLM orchestration. **Common Use Cases:** - Automated Quantity Surveying for rapid pre-construction bidding and tender preparation. - Real-time material price auditing to identify budget variances in large-scale Revit projects. - Generating executive-level financial feasibility reports directly from IFC architectural models.

47個のノード· 👁 1agentcodeexecutecommand

作成者:Artem Boiko

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Create Personalized B2B Outreach Emails with Tavily Research & OpenRouter LLM

🧠 About this workflow This workflow automatically generates personalized B2B outreach email messages by combining AI-based company research and text generation. It’s designed to help sales and marketing professionals automate the creation of tailored cold emails for prospects. ⚙️ How it works Get rows from Google Sheets — Retrieves companies marked as “ready” for outreach. Loop Over Items — Processes each company individually. Company Research (LangChain Agent) — Uses the Tavily search to

12個のノード· 👁 1@tavily/n8n-nodes-tavily.tavilytoolagentchainllm

作成者:Haruki Kuwai

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Turn new Shopify products into SEO blogs with Perplexity, Gemini and Sheets

Shopify Product-to-Blog Automation with Perplexity web search, Gemini AI Agent & Google Sheets Shopify Blog Automation (From Shopify product to SEO-optimized blog post — fully automated) This workflow is an advanced n8n-powered automation that transforms newly created Shopify products into professionally written, SEO-ready blog posts using AI. By combining **Shopify Webhooks, Google Sheets, AI research, structured content generation, and automated HTML formatting**, this workflow removes al

17個のノード· 👁 1agentcodegooglesheets

作成者:MANISH KUMAR

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Create curated industry trend reports from Medium to Google Docs with Claude via OpenRouter and BrowserAct

Create curated industry trend reports from Medium to Google Docs This workflow automates the process of market research by generating high-quality, curated digests of Medium articles for specific topics. It scrapes recent content, uses AI to filter out spam and duplicates, categorizes the stories into readable buckets, and compiles everything into a formatted Google Doc report. Target Audience Content marketers, market researchers, product managers, and investors looking to track industry tren

16個のノード· 👁 1agentgoogledocsif

作成者:Madame AI Team | Kai

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Generate audio documentaries from web articles with ElevenLabs and BrowserAct

Generate audio documentaries from web articles to Telegram with ElevenLabs & BrowserAct This workflow transforms any web article or blog post into a high-production-value audio documentary. It automates the entire production chain—from scraping content and writing an engaging narrative script to generating realistic voiceovers—delivering a listenable MP3 file directly to your Telegram chat. Target Audience Commuters, podcast enthusiasts, content creators, and researchers who prefer listening t

15個のノード· 👁 1@elevenlabs/n8n-nodes-elevenlabs.elevenlabsagentlmchatgooglegemini

作成者:Madame AI Team | Kai

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Handle clinic WhatsApp support with GPT-4o-mini, Pinecone RAG and Gmail alerts

🏥 Clinic WhatsApp Customer Service Bot This workflow automates patient communication for medical clinics using the WhatsApp Business API. It supports appointment booking, rescheduling, service inquiries, follow-ups, and document submissions. The workflow includes AI capabilities, appointment management, human escalation logic, memory storage, and CRM synchronization. Good to know Supports text, voice notes, images, and document uploads. Uses an AI agent powered by GPT-4o-mini with retrieval-a

60個のノード· 👁 1agentcodedatatable

作成者:Mira Melhem

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Automate Document Q&A with Multi-Agent RAG Orchestration using Contextual AI & Gemini

PROBLEM Managing multiple RAG AI agents can be complex when each has its own purpose and vector database. Manually tracking agents and deciding which one to query wastes time. LLMs often struggle to determine which agent best fits a user’s request. This workflow enables automated multi-agent orchestration, dynamically selecting and querying the correct agent using Contextual AI Query Tool and Gemini 2.5 Flash. How it works A form trigger allows users to create new agents by specify

14個のノード· 👁 1agentchattriggercode

作成者:Jinash Rouniyar

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Convert Meeting Recordings to Notes & Action Items with AssemblyAI, GPT-4 & Sheets

This workflow automates the process of turning meeting recordings into structured notes and actionable tasks using AssemblyAI and Google Sheets. It is ideal for teams who want to save time on manual note-taking and ensure that action items from meetings are never missed. What it does Receives a meeting recording (audio file) via webhook Transcribes the audio using AssemblyAI Uses AI to generate structured meeting notes and extract action items (tasks) Logs meeting details and action items to a

15個のノード· 👁 1agentcodegooglesheets

作成者:Țugui Dragoș

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Transform Product Photos into Ad Campaigns with Gemini Vision and Claude via Telegram

AI Creative Director: Transform Phone Photos into Viral Ad Campaigns Description Turn amateur product snapshots into high-conversion advertising assets automatically. This agentic workflow acts as your personal Art Director. Simply send a photo to a Telegram bot, and the AI will analyze the image, conceptualize 3 distinct marketing angles, and generate professional-grade commercial photography. How it Works Ingest: Receives a photo and user caption via Telegram. Analyze: Uses Gemini Vision to

17個のノード· 👁 1agentconverttofileextractfromfile

作成者:Alvin Chandra

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Generate Content Ideas with AI: Scrape Google & Facebook Posts to Slack

Description This workflow automates the process of finding new content ideas by scraping trending news and social media posts, analyzing them with AI, and delivering a summarized report to Slack. It is perfect for content marketers, social media managers, and strategists who spend hours researching trending topics manually. Who is this for Content Marketers: To discover trending topics for blogs or newsletters. Social Media Managers: To keep up with competitor activity or industry news. Market

13個のノード· 👁 1@apify/n8n-nodes-apify.apifyagentcode

作成者:飯盛 正幹

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Automate Lead Intelligence & Outreach with GPT-4o, LinkedIn, HubSpot & Outlook

AI Lead Intelligence & Outreach: Verified Emails, HubSpot Sync & Outlook Drafts Who is this for? This workflow is designed for sales/RevOps teams, B2B founders, SDR/AE teams, and agencies who live in HubSpot and need consistent, compliant first-touch outreach at scale. If you regularly build reusable, multi-client n8n automations, this template will save you hours of manual work. What problem is this workflow solving? / Use case Manual lead handling is slow and inconsistent: Leads arrive me

93個のノード· 👁 1@apify/n8n-nodes-apify.apifyagentagenttool

作成者:Kumar Shivam

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Automated RSS to Telegram Publisher with Groq AI Rewriting

Telegram RSS Autoposter This workflow monitors multiple RSS feeds, detects new posts, rewrites them using AI, and sends the formatted output to your Telegram account. It helps you keep your Telegram feed active with clear, polished, and ready-to-publish content — all fully automated. How It Works A scheduled trigger runs every 30 minutes and loads all RSS feed URLs from an n8n Data Table. Each feed is fetched, and only the most recent item is selected. The workflow checks whether this pos

11個のノード· 👁 1agentdatatablelimit

作成者:Anton Bezman

medium

Article to LinkedIn Post Generator with Telegram, GPT-4 & Google Sheets

🚀 Automated LinkedIn Post Generator from Article Links (Telegram → AI → Google Sheets → LinkedIn) This workflow lets you collect article links through a Telegram bot, automatically analyze and summarize them with AI, store everything neatly in Google Sheets, and generate polished LinkedIn posts on demand whenever the user types “generate”. Perfect for creators, marketers, and founders who want to post consistently without spending hours analyzing articles or writing drafts. 🧠 How It Works 1️

14個のノード· 👁 1agentcodegooglesheets

作成者:Shachar Shamir

medium

Generate Branded Word Documents with Claude AI and Json2Doc (up to 20 Pages)

Overview This n8n workflow automatically generates professionally formatted Word documents (DOCX) with consistent company branding using AI. It leverages Json2Doc and the Json2Doc MCP server to transform simple text prompts into complete, multi-page documents. Get your free API key at: app.json2doc.com Use Cases Generate first drafts of: Contracts and legal agreements Internal forms and templates Company announcements and notices Internal documentation and policies Business reports and prese

11個のノード· 👁 1agentformtriggerhttprequest

作成者:8Automator

medium

AI-Powered Body Measurement & Clothing Size Estimator from Image with Fal.ai

This workflow automates the process of estimating a person’s fashion size from an uploaded image using an AI model. This workflow is an automated pipeline that uses an AI model to estimate a person's body measurements and clothing size from an image URL. Key Features 🔁 Full Automation** – From image submission to result display, the process requires no manual steps. ⚙️ Easy Integration** – Uses n8n’s native nodes and simple HTTP requests to connect with Fal.ai’s API. 🕒 Real-Time Processing**

13個のノード· 👁 1agentformformtrigger

作成者:Davide Boizza

medium

Chat with GitHub Issues using OpenAI and Redis Vector Search

Chat with Your GitHub Issues Using AI 🤖 Ever wanted to just ask your repository what's going on instead of scrolling through endless issue lists? This workflow lets you do exactly that. What Does It Do? Turn any GitHub repo into a conversational knowledge base. Ask questions in plain English, get smart answers powered by AI and vector search. "Show me recent authentication bugs"** → AI finds and explains them "What issues are blocking the release?"** → Instant context-aware answers "Are ther

11個のノード· 👁 1agentchattriggerdocumentdefaultdataloader

作成者:Tihomir Mateev