407 n8n Anthropic Claude workflow templates

The Anthropic Chat Model sub-node supplies Claude to whichever agent, chain or classifier node consumes it, so it rarely appears alone — it is the model half of a larger structure. The templates gathered here lean towards long-document work: intake triage, contract and email summarisation, and extraction passes over text too long to fit a smaller context window. Because it is a sub-node, check which parent node each template wires it into; that is what determines what the workflow can actually do.

• Notion AI Assistant Generator

  by Max Tkacz · web · 42,016 clicks

  This n8n workflow template lets teams easily generate a custom AI chat assistant based on the schema of any Notion data

  • 7 nodes
  • 42,016 views

  Workflow detailsImport from n8n.ioAutomation, AI

• Gmail AI Email Manager

  by Max Mitcham · web · 29,066 clicks

  https://maxmitcham.substack.com/ https://www.linkedin.com/in/max-mitcham/ Email Manager - Intelligent Gmail Classification This automation flow is designed to automatically monitor incoming Gmail messages, analyze their content and context using AI, and intelligently classify them with appropriate labels for better email organization and prioritization. ⚙️ How It Works (Step-by-Step): 📧 Gmail Monitoring (Trigger) Continuously monitors your Gmail inbox: Polls for new emails every minute Captures all incoming messages automatically Triggers workflow for each new email received 📖 Email Content Extraction Retrieves complete email details: Full email body and headers Sender information and recipient lists Subject line and metadata Existing Gmail labels and categories Email threading information (replies/forwards) 🔍 Email History Analysis AI agent checks relationship context: Searches for previous emails from the same sender Checks sent folder for prior outbound correspondence Determines if this is a first-time contact (cold email) Analyzes conversation thread history 🤖 Intelligent Classification Agent Advanced AI categorization using: Claude Sonnet 4 for sophisticated email analysis Context-aware classification based on email history Content analysis for intent and urgency detection Header analysis for automated vs. human-sent emails 🏷️ Smart Label Assignment Automatically applies appropriate Gmail labels: To Respond: Requires direct action/reply FYI: For awareness, no action needed Notification: Service updates, policy changes Marketing: Promotional content and sales pitches Meeting Update: Calendar-related communications Comment: Document/task feedback 📋 Structured Processing Ensures consistent labeling: Uses structured output parsing for reliability Returns specific Label ID for Gmail integration Applies label automatically to the email Maintains classification accuracy 🛠️ Tools Used: n8n: Workflow automation platform Gmail API: Email monitoring and label management Anthropic Claude: Advanced email content analysis Gmail Tools: Email history checking and search Structured Output Parser: Consistent AI responses 📦 Key Features: Real-time email monitoring and classification Context-aware analysis using email history Intelligent cold vs.

  • 4 nodes
  • 29,066 views

  Workflow detailsImport from n8n.ioAutomation, AI

• 🤖 AI content generation for Auto Service 🚘 Automate your social media📲!

  by N8ner · web · 26,664 clicks

  🚘This workflow is designed for auto service / car repair businesses looking to streamline their social media marketing with Ai tools and automation via n8n. Whether you’re a small garage owner, a car repair shop, an automotive specialist or automechanic - this tool helps you maintain an active online presence without spending hours creating content. 💪🏼 Though this template is set up for Auto Service daily content uploads, but the underlying logic is universal. You can easily adapt it for any niche by editing prompts, adding nodes, and creating or uploading a variety of content to any platform. You can use any LLM and generative AI of your choice. Personally, I prefer the smooth and effective results from ChatGPT 4.1 combined with GPT Image 1. But you can generate videos instead of images for your posts as well 😉 What Problem Is This Workflow Solving? 🤦‍♂️ Many auto service businesses struggle with consistently posting engaging content due to time constraints or lack of marketing expertise. 💎This workflow solves that by automating the content creation and posting process, ensuring your social media channels stay fresh and active, ultimately attracting more customers. What This Workflow Does: Generates daily social media posts tailored specifically to the auto service niche using AI. Allows easy customization of post and image prompts. Integrates research links through the Tavily Internet Search tool for relevant content. Supports starting posts based on reference article links via Google Sheets. Automatically publishes posts to your connected social media platforms. Enables scheduled or trigger-based posting for maximum flexibility. How It Works? Easy, actually ☺️ AI creates daily social media content made just for Auto Service. You can simply edit prompts for both posts and images, set up news or articles research links via the Tavily Internet Search tool. You can also start the workflow with a reference article link through Google Sheets. 🎯 Consistently posting relevant and actual niche content helps attract new customers, all while leveraging AI and n8n tools to keep the process seamless and cost-effective. Set Up Steps: I kept it quick and simple for you ✨ If you’re happy with the current LLM and image model configurations, just connect your OpenAI API credentials to enable AI content generation. Link your social media accounts (Facebook, Telegram, X, etc.) for autoposting.

  • 18 nodes
  • 26,664 views

  Workflow detailsImport from n8n.ioAutomation, AI

• Advanced AI Demo (Presented at AI Developers #14 meetup)

  by Max Tkacz · web · 24,254 clicks

  AI workflows Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Text Classifier node, simplifying this usecase. Ingest a PDF into a Pinecone vector store and chat with it (RAG example) AI Agent example showcasing the HTTP Request tool. We teach the agent how to check availability on a Google Calendar and book an appointment. An n8n automation workflow template by Max Tkacz.

  • 16 nodes
  • 24,254 views

  Workflow detailsImport from n8n.ioAutomation, AI

• Generate SEO Seed Keywords Using AI

  by simonscrapes · web · 22,715 clicks

  This flow uses an AI node to generate Seed Keywords to focus SEO efforts on based on your ideal customer profile. You can use these keywords to form part of your SEO strategy. Outputs: List of 20 Seed Keywords Setup Fill the Set Ideal Customer Profile (ICP) Connect with your credentials Replace the Connect to your own database with your own database Pre-requisites / Dependencies You know your ideal customer profile (ICP) An AI API account (either OpenAI or Anthropic recommended) More templates and n8n workflows >>> @simonscrapes. An n8n automation workflow template by simonscrapes.

  • 2 nodes
  • 22,715 views

  Workflow detailsImport from n8n.ioAutomation, AI

• AI Personal Assistant

  by Max Mitcham · web · 17,754 clicks

  This automation flow is designed to proactively monitor email, calendar, and Slack communications, analyze priorities across all channels, and generate a comprehensive daily briefing with actionable tasks for executive productivity management. ⚙️ How It Works (Step-by-Step): ⏰ Automated Daily Trigger Runs automatically on weekdays: Scheduled execution every weekday at 8:00 AM Manual trigger available for on-demand analysis Comprehensive daily communication audit 📧 Email Assistant Agent Analyzes inbox priorities and context: Scans unread emails across "To Respond" and "FYI" labels Checks email history to determine relationship context Identifies *company-related opportunities and partnerships Categorizes emails by urgency (High, Medium, Low) Cross-references with sent emails for follow-up context 📅 Follow-Up Assistant Agent Monitors meeting follow-up requirements: Reviews last 3 days of calendar meetings Fetches Fireflies transcripts for recorded sessions Identifies meetings without post-meeting communication Flags meetings requiring action items or follow-ups Checks sent emails and Slack for completed follow-ups 💬 Slack Assistant Agent Tracks Slack communication priorities: Monitors direct messages and @mentions Identifies unreplied Slack conversations Cross-references with email and calendar context Prioritizes responses based on sender importance Checks for threaded conversations requiring attention 🎯 Master Orchestrator Agent Synthesizes all communication data: Combines reports from all three assistant agents Cross-references with existing Google Sheets to-do list Prioritizes tasks by urgency and business impact Identifies correlations between different communication channels Creates comprehensive daily action plan 📊 Task Management Integration Automated tracking and delivery: Appends new tasks to Google Sheets to-do tracker Sends personalized daily briefing via Slack DM Maintains conversation memory for context continuity Tracks outstanding vs.

  • 5 nodes
  • 17,754 views

  Workflow detailsImport from n8n.ioAutomation, AI

• Deep Research - Sales Lead Magnet Agent

  by Max Mitcham · web · 14,914 clicks

  https://maxmitcham.substack.com/ https://www.linkedin.com/in/max-mitcham/ This automation flow is designed to generate comprehensive, research-backed lead magnet articles based on a user-submitted topic, conduct deep research across multiple sources, and automatically create a professional Google Doc ready for LinkedIn sharing. ⚙️ How It Works (Step-by-Step): 📝 Chat Input (Entry Point) A user submits a topic through the chat interface: Topic for lead magnet content Target audience (automatically detected) Company context (when relevant) 🔍 Query Builder Agent An AI agent refines the input by: Converting the topic into 5 targeted research queries Determining if topic relates to *company for specialized research Using structured output parsing for consistent results 📚 Research Leader Agent Conducts comprehensive research that: Uses Perplexity API for real-time web research Integrates *company knowledge base when relevant Creates detailed table of contents with research insights Identifies key trends, expert opinions, and case studies 📋 Project Planner Agent Structures the content by: Generating professional title and subtitle Creating 8-10 logical chapter outlines Developing detailed writing prompts for each section Ensuring step-by-step actionable guidance ✍️ Research Assistant Team Multiple AI agents write simultaneously: Each agent writes one chapter with proper citations Maintains consistent voice across all sections Includes real-world examples and implementation steps Uses both web research and *company knowledge 📝 Editor Agent Professional content polishing: Refines tone for authenticity and engagement Adds image placeholders where appropriate Ensures proper flow between chapters Optimizes for LinkedIn lead magnet format 📄 Google Docs Creation Automated document generation: Creates new Google Doc with formatted content Sets proper sharing permissions (public link) Organizes in designated company folder Returns shareable URL for immediate use 🛠️ Tools Used: n8n: Workflow orchestration platform Anthropic Claude: Primary AI model for content generation OpenRouter: Backup AI model options Perplexity API: Real-time research capabilities *Company Knowledge Hub: Internal documentation access Google Docs API: Document creation and formatting Google Drive API: File management and sharing 📦 Key Features: End-to-end automation from topic to published document Multi-agent approach ensures comprehensive coverage Real-time research with proper citations…

  • 9 nodes
  • 14,914 views

  Workflow detailsImport from n8n.ioAutomation, AI

• Build an AI-Powered Tech Radar Advisor with SQL DB, RAG, and Routing Agents

  by Sean Lon · web · 12,453 clicks

  This project is built on top of the famous open source ThoughtWorks Tech Radar. You can use this template to build your own AI-Powered Tech Radar Advisor for your company or group of companies. Target Audience This template is perfect for: Tech Audit & Governance Leaders:** Those seeking to build a tech landscape AI platform portal. Tech Leaders & Architects:** Those aiming to provide modern AI platforms that help others understand the rationale behind strategic technology adoption. Product Managers:** Professionals looking to align product innovation with the company's current tech trends. IT & Engineering Teams:** Teams that need to aggregate, analyze, and visualize technology data from multiple sources efficiently. Digital Transformation Experts:** Innovators aiming to leverage AI for actionable insights and strategic recommendations. Data Analysts & Scientists:** Individuals who want to combine structured SQL analysis with advanced semantic search using vector databases. Developers:** Those interested in integrating RAG chatbot functionality with conversation storage. 1. Description Tech Constellation is an AI-powered Tech Radar solution designed to help organizations visualize and steer their technology adoption strategy. It seamlessly ingests data from a Tech Radar Google Sheet—converting it into both a MySQL database and a vector index—to consolidate your tech landscape in one place. The platform integrates an interactive AI chat interface powered by four specialized agents: AI Agent Router:** Analyzes and routes user queries to the most suitable processing agent. SQL Agent:** Executes precise SQL queries on structured data. RAG Agent:** Leverages semantic, vector-based search for in-depth insights. Output Guardrail Agent:** Validates responses to ensure they remain on-topic and accurate. This powerful template is perfect for technology leaders, product managers, engineering teams, and digital transformation experts looking to make data-driven decisions aligned with strategic initiatives across groups of parent-child companies. 2. Features Data Ingestion A Google Sheet containing tech radar data is used as the primary source. The data is ingested and converted into a MySQL database. Simultaneously, the data is indexed into a vector database for semantic (vector-based) search. Interactive AI Chat Chat Integration:** An AI-powered chat interface allows users to ask questions about the tech radar.

  • 16 nodes
  • 12,453 views

  Workflow detailsImport from n8n.ioAutomation, AI

• Zoom AI Meeting Assistant creates mail summary, ClickUp tasks and follow-up call

  by Friedemann Schuetz · web · 11,796 clicks

  Change from OpenAI to Claude 3.7 Sonnet module Adding the Think Tool The update enables significantly better results to be achieved. This is particularly noticeable during longer meetings! What this workflow does This workflow retrieves the Zoom meeting data from the last 24 hours. The transcript of the last meeting is then retrieved, processed, a summary is created using AI and sent to all participants by email. AI is then used to create tasks and follow-up appointments based on the content of the meeting. Important: You need a Zoom Workspace Pro account and must have activated Cloud Recording/Transcripts! This workflow has the following sequence: manual trigger (Can be replaced by a scheduled trigger or a webhook) retrieval of of Zoom meeting data filter the events of the last 24 hours retrieval of transcripts and extract of the text creating a meeting summary, format to html and send per mail create tasks and follow-up call (if discussed in the meeting) in ClickUp/Outlook (can be replaced by Gmail, Airtable, and so forth) via sub workflow Requirements: Zoom Workspace (via API and HTTP Request): Documentation Microsoft Outlook: Documentation ClickUp: Documentation AI API access (e.g. via OpenAI, Anthropic, Google or Ollama) SMTP access data (for sending the mail) You must set up the individual sub-workflows as separate workflows. Then set the “Execute workflow trigger” here. Then select the corresponding sub-workflow in the AI Agent Tools. You can select the number of domains yourself. If the data queries are not required, simply delete the corresponding tool (e.g. “Analytics_Domain_5). Feel free to contact me via LinkedIn, if you have any questions!. An n8n automation workflow template by Friedemann Schuetz.

  • 9 nodes
  • 11,796 views

  Workflow detailsImport from n8n.ioAutomation, AI

• VEO3 Video Generator with AI Optimization and Google Drive Storage

  by Friedemann Schuetz · web · 7,500 clicks

  This automated workflow transforms simple text descriptions into professional 8-second videos using Google's cutting-edge VEO3 AI model. Users submit video ideas through a web form, and the system automatically generates optimized prompts, creates high-quality videos with native audio, and delivers them via Google Drive - all powered by Claude 4 Sonnet for intelligent prompt optimization. This workflow has the following sequence: VEO3 Generator Form - Web form interface for users to input video content, format, and duration Video Prompt Generator - AI agent powered by Claude 4 Sonnet that: Analyzes user input for video content requirements Creates factual, professional video titles Generates detailed VEO3 prompts with subject, context, action, style, camera motion, composition, ambiance, and audio elements Optimizes prompts for 16:9 landscape format and 8-second duration Create VEO3 Video - Submits the optimized prompt to fal.ai VEO3 API for video generation Wait 30 seconds - Initial waiting period for video processing to begin Check VEO3 Status - Monitors the video generation status via fal.ai API Video completed? - Decision node that checks if video generation is finished If not completed: Returns to wait cycle If completed: Proceeds to video retrieval Get VEO3 Video URL - Retrieves the final video download URL from fal.ai Download VEO3 Video - Downloads the generated MP4 video file Merge - Combines video data with metadata for final processing Save Video to Google Drive - Uploads the video to specified Google Drive folder Video Output - Displays completion message with Google Drive link to user The following accesses are required for the workflow: Anthropic API** (Claude 4 Sonnet): Documentation Fal.ai API** (VEO3 Model): Create API key at https://fal.ai/dashboard/keys Google Drive API**: Documentation Workflow Features: User-friendly web form**: Simple interface for video content input AI-powered prompt optimization**: Claude 4 Sonnet creates professional VEO3 prompts Automatic video generation**: Leverages Google's VEO3 model via fal.ai Status monitoring**: Real-time tracking of video generation progress Google Drive integration**: Automatic upload and sharing of generated videos Structured output**: Consistent video titles and professional prompt formatting Audio optimization**: VEO3's native audio generation with ambient sounds and music Current Limitations: Format**: Only 16:9 landscape videos supported Duration**: Only 8-second videos supported…

  • 5 nodes
  • 7,500 views

  Workflow detailsImport from n8n.ioAutomation, AI

• Lead Workflow: Yelp & Trustpilot Scraping + OpenAI Analysis via BrightData

  by Incrementors · web · 7,460 clicks

  > Description: Automated lead generation workflow that scrapes business data from Yelp and Trustpilot based on location and category, analyzes credibility, and sends personalized outreach emails using AI. > ⚠️ Important: This template requires a self-hosted n8n instance to run. 📋 Overview This workflow provides an automated lead generation solution that identifies high-quality prospects from Yelp and Trustpilot, analyzes their credibility through reviews, and sends personalized outreach emails. Perfect for digital marketing agencies, sales teams, and business development professionals. ✨ Key Features 🎯 Smart Location Analysis** AI breaks down cities into sub-locations for comprehensive coverage 🛍 Yelp Integration** Scrapes business details using BrightData's Yelp dataset ⭐ Trustpilot Verification** Validates business credibility through review analysis 📊 Data Storage** Automatically saves results to Google Sheets 🤖 AI-Powered Outreach** Generates personalized emails using Claude AI 📧 Automated Sending** Sends emails directly through Gmail integration 🔄 How It Works User Input: Submit location, country, and business category through a form AI Location Analysis: Gemini AI identifies sub-locations within the specified area Yelp Scraping: BrightData extracts business information from multiple locations Data Processing: Cleans and stores business details in Google Sheets Trustpilot Verification: Scrapes reviews and company details for credibility check Email Generation: Claude AI creates personalized outreach messages Automated Outreach: Sends emails to qualified prospects via Gmail 📊 Data Output | Field | Description | Example | |---------------|----------------------------------|----------------------------------| | Company Name | Business name from Yelp/Trustpilot | Best Local Restaurant | | Website | Company website URL | https://example-restaurant.com | | Phone Number | Business contact number | (555) 123-4567 | | Email | Business email address | demo@example.com | | Address | Physical business location | 123 Main St, City, State | | Rating | Overall business rating | 4.5/5 | | Categories | Business categories/tags | Restaurant, Italian, Fine Dining | 🚀 Setup Instructions ⏱️ Estimated Setup Time: 10–15 minutes Prerequisites n8n instance (self-hosted or cloud) Google account with Sheets access BrightData account with Yelp and Trustpilot datasets Google Gemini API access Anthropic API key for Claude Gmail account for sending emails Step 1…

  • 7 nodes
  • 7,460 views

  Workflow detailsImport from n8n.ioAutomation, AI

• Slack AI Chatbot for business team with RAG, Claude 3.7 Sonnet and Google Drive

  by Davide Boizza · web · 7,366 clicks

  Imagine having an AI chatbot on Slack that seamlessly integrates with your company’s workflow, automating repetitive re

  • 11 nodes
  • 7,366 views

  Workflow detailsImport from n8n.ioAutomation, AI

All n8n workflow automations — every integration, filterable by platform and complexity.