AI n8n Workflows
n8n AI workflow templates and automation recipes — 2728 free workflow templates ready to import.
Cost-Efficient n8n Telegram AI with Dynamic Model Routing
Stop overpaying for high-end LLM tokens. This advanced n8n workflow optimizes your AI operations by implementing a multi-tier architectural approach to Telegram automation. By utilizing a sophisticated Model Selector, the system dynamically routes queries to the most cost-effective LLM based on complexity, ensuring you only use premium models when strictly necessary. To maintain long-term context without hitting token limits, the flow leverages PostgreSQL-backed chat history combined with an automated summarization engine. This process condenses previous interactions into a concise memory buffer, preserving vital context while slashing overhead. The workflow begins with a Telegram trigger, processes the intent via structured output parsing, manages stateful data in Postgres, and delivers lightning-fast responses. It is the perfect blueprint for developers and businesses looking to scale AI assistants that are both context-aware and budget-conscious, effectively solving the common trade-off between performance and operational expenditure. **Common Use Cases:** - Scalable Customer Support Bot: Provide 24/7 technical assistance on Telegram using budget models for FAQs and routing complex issues to high-reasoning models. - Personal Knowledge Management: Build a private research assistant that summarizes long-form Telegram notes and stores them in a permanent Postgres database for retrieval. - Interactive Lead Qualification: Automate initial prospect screening via chat, using dynamic routing to handle basic data collection cheaply while escalating high-value inquiries to advanced models.
作成者：John Alejandro SIlva
Gmail Auto-Reply Generator with ChatGPT
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Gmail Auto-Reply with AI Automatically draft smart email replies using ChatGPT. Reclaim your time typing the same responses again and again. Who is this for? If you're overwhelmed with emails and constantly repeating yourself in replies, this workflow is for you. Whether you're a freelancer, business owner, or team lead, it saves you time by handling email triage and drafting replies for you
作成者：Matt Chong | n8n Creator
Automated Facebook Sentiment Analysis & Crisis Alert System
Transform your social media monitoring from reactive to proactive with this advanced n8n automation. This workflow serves as an AI-driven brand guardian, utilizing GPT-4 to dissect the emotional context of Facebook audience interactions. Instead of manually scrolling through threads, this solution programmatically extracts posts and comments via the Facebook Graph API to evaluate public perception in real-time. The logic is designed for high-stakes brand management: it uses structured data parsing to categorize feedback, instantly triggers Slack alerts for negative sentiment to mitigate PR crises, and archives all interactions in Google Sheets for long-term trend mapping. The process culminates in a professional executive summary delivered via Microsoft Outlook, ensuring stakeholders remain informed of community health without lifting a finger. By integrating LLM-powered intelligence with cross-platform reporting, businesses can reduce manual moderation time by 90% while ensuring no critical customer feedback ever goes unnoticed. **Common Use Cases:** - Enterprise PR Crisis Management & Rapid Response - Automated Brand Reputation Monitoring for Digital Agencies - Customer Satisfaction Tracking for Social Media Campaigns
作成者：Rahul Joshi
Build a WhatsApp AI Chatbot for PDF Support via n8n & RAG
Transform your static business documents into an interactive AI support system with this advanced n8n automation. This workflow leverages Retrieval-Augmented Generation (RAG) to bridge the gap between your private Google Drive repository and your customers' favorite messaging app. The process begins with an automated trigger: whenever a new PDF is uploaded to a designated Google Drive folder, the system instantly parses the text, generates high-dimensional embeddings via OpenAI, and indexes them within a Pinecone vector database. On the front end, the workflow manages incoming WhatsApp inquiries through a sophisticated LangChain agent powered by Google Gemini. Instead of providing generic AI responses, the agent queries your specific Pinecone index to retrieve factual snippets from your documents, ensuring high accuracy and reduced hallucination. This setup eliminates the manual overhead of searching through manuals or FAQs, providing instant, context-aware answers 24/7. It is a professional-grade solution for businesses looking to deploy a private knowledge base without writing complex code, ensuring data remains organized and accessible via a seamless chat interface. **Common Use Cases:** - Automated Customer Support for Technical Product Manuals - Internal Employee Policy & HR Benefits Assistant - Real Estate Agent Tool for Instant Property Portfolio Queries
作成者：Neeraj Chouhan
Automate AI Video Generation with Gemini & Kie AI (n8n)
This advanced n8n workflow revolutionizes content production by establishing a fully autonomous pipeline for hyper-realistic AI video creation. By integrating Google Gemini’s creative reasoning with the Kie AI (Sora 2) video engine, the system eliminates the manual labor associated with prompt engineering and video editing. The process begins with a scheduled trigger that prompts Gemini to conceptualize unique cinematic nature scenes. These prompts are dynamically injected into the Kie AI API to generate high-definition, 10-second clips. The workflow then manages the asynchronous processing state using a wait-and-poll logic to ensure the video is fully rendered before retrieval. Finally, the finished asset is pushed directly to a Telegram channel. This is an essential tool for digital agencies and social media managers who need to maintain a consistent posting cadence without the overhead of traditional stock footage costs. It transforms a complex, multi-step creative process into a 'set-and-forget' background operation, ensuring a steady stream of high-quality visual assets for any marketing platform. **Common Use Cases:** - Automated B-roll production for faceless YouTube channels and TikTok creators. - Daily cinematic content delivery for luxury brand Telegram communities. - Batch generation of high-quality nature backgrounds for digital signage and retail displays.
作成者：Daniel Nkencho
Summarize YouTube videos and generate thumbnails using AI Agent and deAPI
Who is this for? YouTube creators who want to speed up their post-production workflow Content repurposers who turn videos into written summaries Social media managers handling multiple YouTube channels Anyone who needs quick, AI-generated thumbnails from video content What problem does this solve? Watching a full video to write a summary and then designing a matching thumbnail is tedious. This workflow does both automatically — transcribe, summarize, and generate a professional 1280x720 thumb
作成者：deAPI Team
Rewrite web content with exact character counts using GPT-4.1 and Google Sheets
Description An AI-powered content rewriter that maintains exact character counts line-by-line while rewriting web pages for SEO. Fetches reference URL content, preserves layout-critical formatting, and logs detailed comparisons to Google Sheets—perfect for agencies rewriting competitor content while maintaining design consistency. What this workflow does This workflow solves a unique SEO challenge: rewriting web content while preserving exact character counts on every single line. When you ne
作成者：isaWOW
Create and validate Meta ad copy with GPT-4o, OriginalVoices, and Sheets
Generate 50 Meta ad copy variations informed by target audience insights, then validate with real human feedback to identify the top 10 performers — all before spending a dollar on ads. Why This Matters Traditional ad copy generation relies on AI guesswork about what might resonate. This workflow grounds every variation in real human insight from your target audience — what actually matters to them, their specific concerns, the language they respond to, the benefits they care about. Instead o
作成者：Vedad Sose
Send a daily media briefing email with GPT-4.1-mini, NewsAPI, Gmail and Google Sheets
This workflow creates a daily media briefing based on public news sources. It retrieves relevant articles, summarizes key coverage, evaluates sentiment, and compares the current media volume against historical data. If an unusual spike in coverage is detected, the agent autonomously performs additional research and highlights the anomaly in the briefing. The result is sent as a structured HTML email, ready for executive consumption.
作成者：Timo
Scrape Apollo leads with BrowserAct, draft Gemini emails, and save to Sheets
This workflow creates a fully automated B2B lead generation & outreach pipeline. It combines BrowserAct (for scraping) with Google Gemini AI (for writing) to automate the entire prospecting process. It takes a search request via a Form, scrapes verified leads from Apollo.io, uses AI to write a personalized cold email for EACH lead, saves everything to Google Sheets, and notifies you via Gmail when the batch is done. How it works Form Trigger:** You input the Target Role (e.g., "Engineer") and
作成者：browseract
Chat with Google Drive documents using Pinecone and OpenAI RAG
Google Drive → Pinecone RAG Chatbot (Auto-Sync & Query) This n8n workflow implements a fully automated Retrieval-Augmented Generation (RAG) pipeline powered by Google Drive, OpenAI embeddings, and Pinecone. It continuously keeps a vector database in sync with your company documents and exposes them through an AI chat interface. What this workflow does The workflow monitors a Google Drive folder and automatically reacts to document lifecycle events: File created File updated File deleted
作成者：Alberto Idrio
Create a Code Assistant that Learns from your GitHub Repository using OpenAI
AI Agent for GitHub AI Agent to learn directly from your GitHub repository. It automatically syncs source files, converts them into vectorized knowledge How It Works Provide your GitHub repository — the workflow will automatically pull your source files and update the knowledge base (vectorstore) for the AI Agent. This allows the AI Agent to answer questions directly based on your repository’s content. How to Use Commit your files to your GitHub repository. Trigger the Sync Data workfl
作成者：Nghia Nguyen
Automate Google Meet Notes with GPT-4.1-mini, Notion, Slack & Gmail Distribution
🧾 An intelligent automation system that turns Google Meet recordings into structured meeting notes — integrating Fireflies.ai, OpenAI GPT-4.1-mini, Notion, Slack, Google Drive, and Gmail via n8n. 🎥 Demo: Watch the Loom walkthrough ⚙️ What It Does The Google Meet Notes Generator & Distributor automates the entire post-meeting workflow. Workflow Summary: Fetches Google Meet transcript via Fireflies.ai webhook. Aggregates and summarizes transcript using OpenAI GPT-4.1-mini into: Title S
作成者：Atharva
Scrape Hotel Listings with Prices from Booking.com using Brightdata & AI
This workflow automates the search and extraction of hotel data from Booking.com. Triggered by a chat message, it uses a combination of web scraping with Bright Data's Web Scraper and AI-powered data processing with OpenRouter to deliver a concise, human-friendly list of hotels. The final output is a clean and formatted report, making it a valuable tool for travelers, event planners, and business professionals who need to quickly find accommodation options. Who's it for This template is ideal
作成者：phil
Create a Data Analyst Chatbot for Real-time Google Sheets Analysis with GPT-5
Who is this for? This workflow is ideal for: Business analysts* and *data professionals** who need to quickly analyze spreadsheet data through natural conversation Small to medium businesses** seeking AI-powered insights from their Google Sheets without complex dashboard setups Sales teams* and *marketing professionals** who want instant access to customer, product, and order analytics What problem is this workflow solving? Traditional data analysis requires technical skills and time-consuming
作成者：Billy Christi
Production AI Playbook: Deterministic Steps & AI Steps (5 of 5)
The full end-to-end workflow that chains all patterns together. This template processes customer feedback from intake to team routing, with normalization, validation, native guardrails, AI classification, and confidence-based branching at every step. What you'll do Send customer feedback through a webhook and watch it flow through every stage. See the data get normalized, validated, and scanned by n8n's native Guardrails node for jailbreak attempts and PII. Watch the AI classify feedback (bug r
作成者：Elvis Sarvia
Monitor workflow errors via n8n API with Gemini analysis and Telegram alerts
Monitor n8n Workflow Errors with AI Diagnosis & Instant Telegram Alerts This n8n template automatically catches errors from any workflow on your instance, analyzes them with Google Gemini AI, and delivers a structured diagnostic report directly to your Telegram — including error classification, root cause analysis, and specific fix steps. If you manage multiple n8n workflows in production and want to stop manually debugging failures, this workflow is your always-on error watch. How it works
作成者：Nguyễn Thiệu Toàn (Jay Nguyen)
Generate PII-Safe Helpdocs from Crisp Support Chats with GPT-4.1-mini
Turn Crisp chats into Helpdocs Automatically create help articles from resolved Crisp chats. This n8n workflow listens for chat events, formats Q&A pairs, and uses an LLM to generate a PII‑safe helpdoc saved to a Data Table. Highlights 🧩 Trigger: Crisp Webhook when a chat is marked resolved. 🗂️ Store: Each message saved in a Data Table (crisp). 🧠 Generate: LLM turns Q&A into draft helpdoc. 💾 Save: Draft stored in another Data Table (crisphelp) for review. How it works Webhook receives messa
作成者：Cooper
Triage Slack and Gmail requests with an AI-powered intake layer
This n8n template helps you turn inbound messages into a clean, deduped queue of actionable tickets. It includes Slack and Gmail as ready to use examples, but the key idea is the universal intake normalizer: you can plug in other sources later (forms, webhooks, chat tools, other inboxes) as long as you map them into the same normalized schema. Good to know This workflow sends message content to an LLM for classification. Keep sensitive data out of the prompt, and only process messages you are
作成者：Paul Karrmann
Extract YouTube video clips with Claude and Apify from natural language prompts
Who is this for? Content creators, marketers, and video editors who want to automatically extract highlight clips from YouTube videos using natural language descriptions—no manual timestamp hunting required. What problem does it solve? Manually scrubbing through long videos to find specific moments is time-consuming and tedious. This workflow automates the entire process: describe what clips you want in plain English, and AI analyzes the transcript to find and extract them automatically. How i
作成者：Matty Reed
Turn HR news into policy update tasks and a weekly Gmail digest with RSS, Google Drive, Gemini, and GPT-5.2
HR Weekly Radar AI powered workflow that scans HR news via RSS, checks which of your policies or contract templates might need updates, and sends a weekly internal newsletter as HTML. What this template is for If you maintain an HR policy and template library, this helps you spot relevant changes faster and turn them into a small, actionable review list. Good to know This workflow fetches article pages and sends extracted text to LLMs Respect the publisher’s terms and avoid redistributing full
作成者：Paul Karrmann
Qualify leads from Gemini chat to Google Sheets and Slack with self-optimization
Who is this for? This workflow is designed for growth agencies, SaaS founders, and sales teams who want to move beyond static lead forms. It is ideal for those who need a "living" system that not only captures leads but also provides immediate value through AI-generated strategies and evolves based on performance data. How it works The template operates in two distinct phases: The Lead Engine**: A user interacts with a chat bubble. A Gemini-powered agent conversationally qualifies the lead (Na
作成者：Pawan
Classify job applicants from CVs using Claude, PDF.co, Google Docs and Gmail
An automated workflow that processes job applications by analyzing CVs/resumes submitted through a form and intelligently routing candidates based on qualification criteria. How It Works Form Submission Candidates submit their personal information and CV through an intake form. File Processing The system detects the file format and handles three paths: Converting URLs to PDFs Processing existing PDFs Extracting content directly Information Extraction Key details such as skills, experience, an
作成者：ius AI Agency
Generate AI Meeting Summaries and Tasks from Fathom Recordings to Dart
Automatically generate a meeting summary from your meetings through Fathom, save it to a Dart document, and create a review task with the Fathom link attached. What it does This workflow activates when a Fathom meeting ends (via a webhook). It uses an AI model to generate a structured summary of the meeting. The workflow then: Who’s it for Teams or individuals needing automatic meeting notes. Project managers tracking reviews and actions from meetings. Users of Fathom and Dart who want to str
作成者：Dart