AI n8n Workflows

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

🔥 人気順✨ ノード数順
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Auto-label Gmail with Ollama AI and draft smart replies

Who is this for This workflow is built for professionals, founders, freelancers, and anyone drowning in email who wants to automatically triage their inbox using AI — sorting emails into categories, applying Gmail labels, and generating reply drafts for important messages, all running locally with Ollama (zero paid API costs). What this workflow does It watches your Gmail inbox for new unread emails, uses a local AI model (Ollama) to classify each email into one of six categories (Urgent, A

16個のノードagentcodegmail

作成者:Tony Adijah

high

Track AI search visibility across ChatGPT, Claude, DeepSeek and Perplexity

Description This workflow automates AI Search Engine Optimization (ASEO) tracking for digital marketing agencies. It tests your client's website visibility across four major AI platforms—ChatGPT, Claude, DeepSeek, and Perplexity—using brand-neutral prompts, analyzes ranking position and presence strength on each platform, identifies top competitors, and returns a structured 27-field scorecard with actionable recommendations. Designed as a sub-workflow, it integrates directly into your existing

17個のノードagentexecuteworkflowtriggerlmchatanthropic

作成者:Incrementors

🔗high

Moderate and govern user content with OpenAI GPT-4o, Slack and Gmail

How It Works This workflow automates end-to-end AI-driven content moderation for platforms managing user-generated content, including marketplaces, communities, and enterprise systems. It is designed for product, trust & safety, and governance teams seeking scalable, policy-aligned enforcement without subjective scoring. The workflow validates structured review, goal, and feedback data using a Performance Signal Agent that standardizes moderation signals and removes ambiguity. A Governance Agent

28個のノードagentagenttoolcode

作成者:Cheng Siong Chin

high

Get multimodal AI dating advice on Telegram with Google Gemini and Sheets

Rizz AI: The Multimodal Dating Assistant 💘 Rizz AI is not just a chatbot; it's a full-featured, AI-powered CRM for your dating life. Built entirely in n8n, this workflow turns Telegram into a powerful "Wingman" that helps you craft the perfect reply, remember details about your matches, and optimize your dating strategy using Google Gemini 1.5 Pro. 🔥 Key Features 👁️ Multimodal Vision:** Send a screenshot of a Tinder/Hinge profile or a WhatsApp chat, and the AI will analyze the text, subtext,

31個のノードagentcodegooglegemini

作成者:John Alejandro SIlva

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Crawl documentation sites and build an AI knowledge base with Olostep

AI Documentation Crawler & Knowledge Base Builder This n8n template automatically crawls technical documentation websites, scrapes their content, and converts it into clean, structured, developer-friendly documentation. Each page is organized into folders and saved as Google Docs, making it easy to build or maintain an internal knowledge base. Who’s it for Developer teams maintaining internal or external documentation SaaS companies onboarding users or support teams AI builders creat

26個のノードagentgoogledocsgoogledrive

作成者:Yasser Sami

high

Mine user complaints and generate insight reports with Olostep, Gemini and Google Docs

AI Complaint Mining & Insight Extraction This n8n template automates complaint mining from unstructured text sources and turns raw user feedback into clear, actionable insights. It uses AI to identify recurring complaints, pain points, and themes, helping teams understand what users are unhappy about and why. Who’s it for Product managers identifying recurring user pain points Customer support and success teams Founders validating product-market fit issues UX researchers analyzing

25個のノードagentaggregatechainllm

作成者:Yasser Sami

high

Validate academic promotion decisions with GPT-4o, policy rules, and Gmail

How It Works This workflow automates performance governance and policy compliance monitoring for HR leaders, talent managers, and organizational development teams across enterprises. It solves the challenge of maintaining consistent performance standards while ensuring human judgment on promotion and termination decisions. Scheduled triggers initiate governance cycles that fetch performance data and policy rules, then orchestrate specialized AI agents working in parallel: governance assessment e

21個のノードagentagenttooldatatable

作成者:Cheng Siong Chin

high

Monitor academic integrity signals with GPT-4o, email alerts and case archiving

How It Works This workflow automates integrity signal detection and investigation orchestration for compliance officers, ethics teams, and risk managers in financial services, healthcare, and regulated industries. It solves the challenge of identifying potential misconduct while ensuring human judgment governs sensitive investigations. Scheduled triggers initiate assessments on synthetic integrity signals, which flow to an AI agent for severity classification based on risk indicators. High-risk

22個のノードagentagenttooldatatable

作成者:Cheng Siong Chin

high

Analyze workforce data and generate planning reports with GPT-4o

How It Works This workflow automates workforce intelligence analysis and strategic planning for HR directors, workforce planners, and operations managers in enterprises managing distributed teams. It solves the challenge of transforming raw workforce data into actionable insights while maintaining human oversight on critical staffing decisions. Weekly triggers initiate the analysis cycle, generating synthetic workforce metrics that flow through specialized AI agents operating in parallel: workfo

22個のノードagentagenttoolaggregate

作成者:Cheng Siong Chin

medium

Implement on-prem RAG with Qdrant and Ollama for a self-hosted KB

Try It This n8n template provides a self hosted RAG implementation. How it works Provides one workflow to maintain the knowledge base and another one to query the knowledge base. Uploaded documents are saved into the Qdrant vector store. When a query is made, the most relevant documents are retrieved from the vector store and sent to the LLM as context for generating a response. How to use Start the workflow by clicking Execute workflow Use the file upload form to upload a document into the kn

9個のノードagentchattriggerdocumentdefaultdataloader

作成者:Mabura Ze Guru

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Send Shopify new product announcements via WhatsApp using Google Sheets and GPT-4.1 mini

Who is this for? This workflow is designed for e-commerce store owners, digital marketers, and Shopify merchants who want to automate their product announcement and marketing campaigns. It's particularly useful for businesses that rely on WhatsApp marketing to inform customers about new products and want to streamline their notification process while ensuring message delivery to verified numbers only. Key Features Triggers automatically for new Shopify products Extracts and processes product im

17個のノードagentcodegooglesheets

作成者:SpaGreen Creative

medium

Search hardware inventory with Supabase vector RAG and Google Gemini

Advanced AI Inventory Agent: Supabase Vector RAG & Gemini This workflow upgrades your AI agent from simple sheet reading to high-performance Vector RAG. It allows your assistant to search through thousands of items with lightning speed and high accuracy. Purpose: To provide a scalable, professional-grade retrieval system for hardware inventory. It uses "semantic search" to find products even when the user makes typos or uses different terminology. Setup Instructions: Supabase: Run the provi

11個のノードagentchattriggerdocumentdefaultdataloader

作成者:Viktor Klepikovskyi

🔗high

Generate M&A due diligence PDF reports with LlamaIndex, OpenAI, Pinecone, and S3

Streamline M&A due diligence with AI. This n8n workflow automatically parses financial documents using LlamaIndex, embeds data into Pinecone, and generates comprehensive, AI-driven reports with GPT-5-mini, saving hours of manual review and ensuring consistent, data-backed insights. Why Use This Workflow? Time Savings: Reduces manual document review and report generation from days to minutes. Cost Reduction: Minimizes reliance on expensive human analysts for initial data extraction and summary.

31個のノードagentaggregatecode

作成者:Khairul Muhtadin

🔗high

Create tutorial videos from documentation URLs with Claude, Google TTS, Remotion and YouTube

This automated n8n workflow converts any technical documentation or blog post URL into a professional, step-by-step developer tutorial video complete with AI-generated narration, code syntax highlighting, terminal command animations, and visual diagrams. The system intelligently analyzes documentation structure, extracts code examples, generates natural voiceover narration, creates synchronized visual scenes, and automatically publishes the finished video to YouTube with SEO-optimized descriptio

16個のノードagentcodegoogledrive

作成者:Oneclick AI Squad

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Build a Telegram AI chatbot with human takeover using Trilox and GPT-4o-mini

> ⚠️ This template uses the Trilox community node (n8n-nodes-trilox) and requires self-hosted n8n. Who is this for n8n developers building Telegram chatbots who need to take over from the bot when it fails — without the customer getting double replies. How it works Customer sends a message on Telegram (text or voice) The message is recorded to Trilox and the handler status is checked If the bot is in control → the AI Agent responds with a structured escalation flag After the AI responds,

29個のノードagentiflmchatopenai

作成者:Trilox

medium

Research and summarize B2B leads from Google Sheets to Airtable with BrowserAct

Automate B2B lead research from Google Sheets to Airtable With BrowserAct This workflow automates the time-consuming process of B2B market research. It takes a list of company website URLs from a Google Sheet, uses BrowserAct to scrape their profiles and news sections, analyzes the data using AI to determine strategic focus and key activities, and saves a comprehensive executive summary into an Airtable database. Target Audience Sales operations managers, SDRs (Sales Development Representativ

14個のノードagentaggregateairtable

作成者:Madame AI Team | Kai

medium

Monitor competitor campaigns weekly using BrowserAct, OpenRouter, Google Sheets and Slack

Automate competitor campaign monitoring using BrowserAct & Openrouter This workflow acts as an automated marketing analyst. It runs weekly to scrape competitor landing pages, compare them against historical data to detect changes in pricing, messaging, or offers, and delivers a strategic intelligence report to your Slack channel. Target Audience Marketing managers, product strategists, and e-commerce owners who need to track competitor moves without manual checking. How it works Scheduled Sca

15個のノードagentaggregategooglesheets

作成者:Madame AI Team | Kai

medium

Generate SEO articles from search queries to WordPress with BrowserAct and OpenRouter

Generate SEO articles from search queries to WordPress with BrowserAct This workflow automates a programmatic SEO pipeline by turning a list of search queries into fully researched, authoritative blog posts. It scrapes search results (focusing on community insights like Reddit) for real-world data, uses AI to draft comprehensive guides, and publishes them directly to your WordPress site. Target Audience SEO specialists, content marketers, niche site builders, and editorial teams looking to sc

10個のノードagentlmchatopenroutermanualtrigger

作成者:Madame AI Team | Kai

medium

Post curated remote job listings to Slack with BrowserAct and OpenRouter

Auto-post curated remote jobs to Slack with BrowserAct and OpenRouter This workflow acts as an intelligent job board curator for your Slack community. It scrapes multiple sources (e.g., Dice, Indeed), uses AI to filter out spam and low-quality listings based on your specific profile, formats the best jobs into professional posts, and publishes them automatically on a schedule. Target Audience Community managers running job boards, recruiters, and developers building niche job aggregators. How

10個のノードagentlmchatopenroutern8n-nodes-browseract.browseract

作成者:Madame AI Team | Kai

high

Monitor Clutch categories for new agencies with BrowserAct, Gemini, and Slack

Monitor Clutch categories for new agencies to Slack With BrowserAct and Gemini Introduction This workflow automates the discovery of new B2B service providers entering the market. It scrapes a specific category on Clutch.co weekly, standardizes the data using AI, and compares it against a historical database to identify only the fresh "new entrants." These leads are then sent to Slack as a "Hot Alert." Target Audience Sales Development Representatives (SDRs), partnership managers, and lead g

25個のノードagentaggregatecode

作成者:Madame AI Team | Kai

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Track competitor pricing and features with BrowserAct and Google Sheets

Track competitor pricing and features from BrowserAct to Google Sheets Introduction This workflow automates competitive intelligence by continuously monitoring competitor websites for pricing and feature updates. It scrapes current data using BrowserAct, compares it against historical records using AI to identify specific changes (like price increases or removed features), and archives the findings in a new Google Sheet tab every week. Target Audience Product managers, pricing analysts, and

18個のノードagentaggregategooglesheets

作成者:Madame AI Team | Kai

medium

Track brand visibility on Perplexity and ChatGPT with BrowserAct and OpenRouter

Track brand visibility on Perplexity and ChatGPT with BrowserAct & OpenRouter Introduction This workflow acts as a "Generative Engine Optimization" (GEO) tracker. It automatically monitors how your brand is being recommended on AI-powered search engines by simulating real user queries on Perplexity and ChatGPT, analyzing the responses for visibility and sentiment, and reporting the findings to Slack. Target Audience Brand managers, SEO specialists, and marketing teams who need to monitor the

12個のノードagentlmchatopenroutermerge

作成者:Madame AI Team | Kai

high

Analyze public consultation data and coordinate governance with Claude AI

How It Works This workflow automates environmental, social, and governance (ESG) data collection, compliance validation, and sustainability reporting for corporations managing complex regulatory requirements and stakeholder transparency expectations. Designed for sustainability officers, compliance teams, and investor relations departments, it solves the challenge of aggregating ESG metrics across global operations, validating data accuracy, and generating standardized reports for multiple frame

22個のノードagentaggregatecode

作成者:Cheng Siong Chin

high

Create Shopify products via a Telegram bot with Google Gemini AI

Now you can create Shopify products remotely on your shop in just a few clicks! How it works? Telegram Trigger polls for actions done on the Telegram bot The callback query is checked for the abort command, and if it's not found, it moves to the switch node for the product creation process. User is notified to enter the details required for product creation. AI Agents create information required for Product Creation. Product is created on the user's Shopify Store via API call User is noti

95個のノードagentchainllmcode

作成者:Kshitij Matta