Workflow Templates

⚡ AI Copywriter Pro: Instant Ad Copy & CTA Generator Transform product details into compelling marketing copy in seconds. This intelligent n8n workflow takes basic product information and generates professional ad copy with powerful calls-to-action using GPT-4, then distributes the results to your team via Slack or stores them in Airtable for future use. 🚀 How It Works This streamlined 4-step automation delivers professional marketing copy instantly: Step 1: Simple Form Input Users submit basic product information through a clean web form - just product name and key features required. Step 2: AI-Powered Generation The workflow sends product details to GPT-4 with a specialized copywriting prompt that creates: Compelling 2-sentence ad copy optimized for conversions 3 powerful call-to-action phrases with different urgency levels Professional tone tailored for marketing campaigns Step 3: Structured Processing The AI response is automatically parsed into clean, labeled fields ready for immediate use across marketing channels. Step 4: Multi-Channel Distribution Generated content is simultaneously: Posted to your designated Slack channel for team review Logged in Airtable for campaign tracking and reuse ⚙️ Setup Steps Prerequisites Active OpenAI API account with GPT-4 access Slack workspace with admin permissions Airtable account for content storage n8n instance (cloud or self-hosted) Configuration Steps 1. Credential Setup OpenAI API Key**: Required for GPT-4 content generation Slack OAuth2**: Needed for posting messages to channels Airtable Personal Access Token**: Essential for database operations 2. Form Configuration The workflow automatically generates a web form at: your-n8n-instance.com/form/[webhook-id] Form fields are pre-configured for: Product Name (text input) Product Features (textarea for detailed descriptions) Form can be embedded on websites or shared as standalone link 3. Slack Integration Setup Connect your Slack workspace to n8n Create or select target channel for ad copy notifications Update the channelId parameter with your channel's ID Test connection with sample message 4. Airtable Database Preparation Create new base or use existing one Set up table with columns: Product Name (Single line text) Product Features (Long text) Ad Copy (Long text) CTAs (Long text) Copy base and table IDs from Airtable URLs Update workflow parameters accordingly 5. AI Prompt Customization The default prompt generates versatile marketing copy, but you can customize for: Industry-specific terminology Brand voice and tone Target audience demographics Campaign objectives (awareness, conversion, retention) 🎯 Use Cases E-commerce & Retail Product Launch Campaigns**: Generate copy for new product announcements Seasonal Promotions**: Create urgency-driven messaging for sales events Category Pages**: Develop compelling descriptions for product collections Social Media Ads**: Produce scroll-stopping copy for Facebook and Instagram SaaS & Technology Feature Announcements**: Craft clear, benefit-focused messaging Free Trial Campaigns**: Generate conversion-optimized trial signup copy Case Study Promotions**: Create compelling success story headlines Webinar Marketing**: Develop registration-driving event descriptions Agency & Freelance Client Presentations**: Rapidly prototype copy concepts for pitches A/B Testing**: Generate multiple copy variations for campaign testing Campaign Brainstorming**: Kickstart creative sessions with AI-generated ideas Content Calendar Filling**: Populate social media schedules efficiently Startup & Small Business MVP Marketing**: Create professional copy without hiring agencies Investor Pitches**: Generate compelling product descriptions Website Content**: Populate landing pages with conversion-focused copy Email Campaigns**: Develop subject lines and promotional content Content Marketing Blog Post Promotions**: Generate social media copy for article shares Newsletter CTAs**: Create compelling subscription and engagement prompts Video Descriptions**: Develop YouTube and social video copy Podcast Promotions**: Generate episode descriptions and listener CTAs 🔧 Advanced Customization Options Multi-Tone Generation Modify the prompt to generate different copy styles: Professional & Corporate: "Generate formal, trust-building copy..." Casual & Friendly: "Create conversational, approachable messaging..." Urgent & Scarcity: "Develop time-sensitive, action-driving copy..." Luxury & Premium: "Craft sophisticated, high-end positioning..." Batch Processing Enhancement Add nodes for processing multiple products: Split in Batches**: Handle bulk product lists Merge**: Combine results for team review Item Lists**: Process CSV uploads of product catalogs Quality Control Integration Implement approval workflows: Human Review Step**: Add manual approval before publishing Sentiment Analysis**: Score copy for emotional impact Brand Guidelines Check**: Validate against company voice standards A/B Test Setup**: Generate multiple variations automatically Extended Distribution Connect additional platforms: Email Marketing**: Send to Mailchimp, ConvertKit, or HubSpot Social Media**: Post directly to Facebook, Twitter, LinkedIn CMS Integration**: Push to WordPress, Webflow, or custom sites Project Management**: Create tasks in Asana, Trello, or Monday.com 📊 Output Examples Sample Input: Product Name: EcoSmart Water Bottle Product Features: Self-cleaning UV technology, 24-hour temperature retention, BPA-free stainless steel, leak-proof design, 500ml capacity Generated Ad Copy: Stay hydrated and eco-conscious with the EcoSmart Water Bottle—featuring revolutionary self-cleaning UV technology that eliminates 99.9% of bacteria while keeping your drinks perfectly chilled for 24 hours! Experience the future of hydration with premium stainless steel construction that's as durable as it is sustainable. CTAs: • Order Your EcoSmart Bottle Today • Join the Clean Hydration Revolution • Get 24-Hour Freshness Now Slack Notification Format: 🎯 NEW AD COPY GENERATED Product: EcoSmart Water Bottle 📝 Ad Copy: Stay hydrated and eco-conscious with the EcoSmart Water Bottle—featuring revolutionary self-cleaning UV technology that eliminates 99.9% of bacteria while keeping your drinks perfectly chilled for 24 hours! Experience the future of hydration with premium stainless steel construction that's as durable as it is sustainable. 🔥 Call-to-Actions: • Order Your EcoSmart Bottle Today • Join the Clean Hydration Revolution • Get 24-Hour Freshness Now Ready to use in campaigns! 🚀 🛠️ Troubleshooting & Best Practices Common Issues & Solutions API Rate Limits Monitor OpenAI usage dashboard Implement delay nodes for high-volume processing Consider upgrading to higher tier plans Inconsistent Output Quality Refine prompts with specific examples Add output validation rules Include brand guidelines in system prompt Integration Failures Verify all API credentials are current Test connections individually before full workflow Check service status pages for outages Optimization Strategies Cost Management Use GPT-4o-mini for routine copy generation Reserve GPT-4 for premium campaigns Cache common responses to reduce API calls Quality Enhancement A/B test different prompt variations Collect team feedback on generated copy Maintain library of high-performing examples Workflow Efficiency Set up monitoring alerts for failures Create backup workflows for critical campaigns Document customizations for team reference 📈 Performance Tracking Key Metrics to Monitor Generation Speed**: Average time from input to output Approval Rate**: Percentage of AI copy used without edits Campaign Performance**: Click-through rates of AI-generated content Cost Per Copy**: API costs per generated piece Success Indicators Reduced copywriting turnaround time (target: under 30 seconds) Increased campaign launch frequency Higher team satisfaction with copy quality Measurable improvement in conversion rates 📞 Questions & Support Need help setting up or customizing your AI Copywriter Pro workflow? 📧 Direct Support Email**: Yaron@nofluff.online Response Time**: Within 24 hours on business days Specialties**: Custom prompt engineering, integration troubleshooting, workflow optimization 🎥 Video Tutorials YouTube Channel**: https://www.youtube.com/@YaronBeen/videos Complete setup walkthrough Advanced customization techniques Integration with popular marketing tools Prompt engineering masterclass 🤝 Professional Network LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Connect for ongoing automation support Share your copywriting success stories Get early access to new workflow templates 💬 What to Include in Support Requests Your specific industry or use case Current marketing tools and platforms Sample products you want to test with Any custom requirements or brand guidelines Screenshots of any errors or unexpected outputs Ready to revolutionize your copywriting process? Deploy this workflow and watch your marketing team's productivity soar while maintaining professional, conversion-focused messaging!

📰 AI News Digest Agent: Auto News Summarizer & Email Newsletter Create an intelligent news curation system that automatically fetches breaking headlines, generates AI-powered summaries, and delivers personalized news digests to your subscriber list. Perfect for newsletter creators, team leaders, and content curators who want to keep their audience informed without the manual effort of news monitoring and summarization. 🔄 How It Works This streamlined 5-step automation delivers fresh news insights around the clock: Step 1: Automated News Collection The workflow runs on a configurable schedule (default: every 10 minutes) to fetch the latest headlines from NewsAPI, ensuring your content stays current with breaking developments. Step 2: Intelligent Content Curation The system pulls top headlines from reliable news sources, filtering by country, category, and relevance to deliver the most important stories of the day. Step 3: AI-Powered Summarization GPT-4 processes the collected headlines and creates: Concise 5-bullet point summaries Key insights and implications Easy-to-digest news overviews Professional formatting for email distribution Step 4: Subscriber Management The workflow accesses your Google Sheets subscriber list, retrieving names and email addresses for personalized delivery. Step 5: Automated Email Distribution Personalized news digests are automatically sent to each subscriber via Gmail, with custom greetings and professionally formatted content. ⚙️ Setup Steps Prerequisites NewsAPI account (free tier available) OpenAI API access for content summarization Google Sheets for subscriber management Gmail account for email distribution n8n instance (cloud or self-hosted) Required Google Sheets Structure Create a simple subscriber database: | Name | Email | |---------------|--------------------------| | John Smith | john@example.com | | Sarah Johnson | sarah@company.com | | Mike Chen | mike.chen@startup.co | Configuration Steps Credential Setup NewsAPI Key: Sign up at newsapi.org for free headline access OpenAI API Key: Required for AI-powered news summarization Google Sheets OAuth2: Access your subscriber spreadsheet Gmail OAuth2: Enable automated email sending News Source Configuration Country Selection: Choose target region (US, UK, CA, AU, etc.) Category Filters: Focus on specific topics (technology, business, health) Source Selection: Prefer certain news outlets or avoid others Language Settings: Configure for international audiences AI Summarization Customization Default prompt creates 5-bullet summaries, but can be tailored for: Industry Focus: Technology, finance, healthcare, politics Audience Type: General public, professionals, executives Content Depth: Brief overviews vs detailed analysis Tone & Style: Formal, conversational, or technical Email Template Personalization Subject Line Formatting: Include date, breaking news indicators Greeting Customization: Use subscriber names for personal touch Content Layout: Professional formatting with clear sections Branding Elements: Add your organization's signature or logo Delivery Schedule Optimization Frequency Settings: Every 10 minutes, hourly, or daily Time Zone Considerations: Optimize for subscriber locations Breaking News Alerts: Immediate delivery for urgent stories Digest Compilation: Collect multiple stories for periodic summaries 🚀 Use Cases Newsletter Publishers Content Automation: Generate newsletter content without manual curation Consistent Publishing: Maintain regular delivery schedules automatically Audience Growth: Provide value that encourages subscriptions and shares Time Savings: Eliminate hours of daily news monitoring and writing Corporate Communications Employee Updates: Keep teams informed about industry developments Executive Briefings: Deliver curated news summaries to leadership Client Communications: Share relevant industry insights with customers Stakeholder Relations: Maintain informed investor and partner networks Educational Institutions Student Resources: Provide current events for academic discussions Faculty Updates: Keep educators informed about relevant developments Research Support: Deliver news related to specific academic fields Parent Communications: Share educational policy and school-related news Professional Services Client Value Addition: Provide industry-specific news as a service benefit Thought Leadership: Position your firm as an informed industry expert Business Development: Share insights that demonstrate market knowledge Team Knowledge Sharing: Keep entire organization current on industry trends Community Organizations Member Engagement: Keep community members informed and engaged Local News Focus: Customize for regional or local news coverage Event Planning: Stay informed about developments affecting your community Advocacy Support: Monitor news relevant to your organization's mission 🔧 Advanced Customization Options Multi-Source News Aggregation Expand beyond NewsAPI with additional sources: RSS Feed Integration: Add specialized industry publications Social Media Monitoring: Include trending topics from Twitter/LinkedIn Government Sources: Official announcements and policy updates International Coverage: Global perspectives on major stories Intelligent Content Filtering Implement smart curation features: Sentiment Analysis: Filter positive, negative, or neutral news Relevance Scoring: Prioritize stories based on subscriber interests Duplicate Detection: Avoid sending repetitive story coverage Quality Assessment: Ensure content meets editorial standards Subscriber Segmentation Create targeted news experiences: Interest Categories: Technology, business, sports, entertainment Geographic Preferences: Local, national, or international focus Delivery Preferences: Frequency and format customization Engagement Tracking: Monitor opens, clicks, and subscriber behavior Enhanced Email Features Professional newsletter capabilities: HTML Templates: Rich formatting with images and links Call-to-Action Buttons: Drive engagement with your content or services Social Sharing: Enable easy sharing of newsletter content Analytics Integration: Track email performance and subscriber engagement 📊 Content Generation Examples Sample Email Output: Subject: 📰 Your Daily News Digest - March 15, 2024 Hi John, Please find today's top news headlines summarized below: 📈 BUSINESS & TECHNOLOGY Federal Reserve signals potential rate cuts following inflation data Major tech companies announce AI partnership for healthcare applications Renewable energy sector sees record investment levels in Q1 2024 Cryptocurrency markets stabilize after regulatory clarity announcement Supply chain disruptions ease as global shipping routes normalize 💡 These developments suggest growing economic optimism and continued technology sector innovation. The healthcare AI partnership particularly signals significant advances in medical technology accessibility. Stay informed and have a great day! Powered by AI News Digest Agent Unsubscribe | Update Preferences Breaking News Alert Format: Subject: 🚨 Breaking News Alert - Major Development Hi Sarah, BREAKING: [Headline] Key Details: [Critical point 1] [Critical point 2] [Impact analysis] Full coverage in your next scheduled digest. AI News Digest Agent 🛠️ Troubleshooting & Best Practices Common Issues & Solutions API Rate Limiting Monitor NewsAPI quota usage and upgrade plan if needed Implement intelligent caching to reduce redundant requests Stagger requests during high-traffic periods Set up alerts for approaching rate limits Email Delivery Challenges Monitor Gmail sending limits and implement delays if needed Use professional email authentication (SPF, DKIM) Maintain clean subscriber lists to avoid spam flags Implement unsubscribe functionality for compliance Content Quality Control Review AI summaries periodically for accuracy and bias Implement feedback loops for continuous prompt improvement Create editorial guidelines for consistent tone and style Monitor subscriber feedback and engagement metrics Optimization Strategies Performance Enhancement Use parallel processing for multiple news sources Implement intelligent caching for repeated content Optimize AI prompts for faster processing and better results Monitor workflow execution time and resource usage Subscriber Growth Create compelling value propositions for newsletter signups Implement referral systems for organic growth Share sample newsletters on social media and websites Collect feedback to continuously improve content quality Content Strategy A/B test different summary formats and lengths Analyze which news categories generate most engagement Experiment with sending times for optimal open rates Create themed newsletters for special events or topics 📈 Success Metrics Engagement Indicators Open Rates: Percentage of subscribers reading newsletters Click-Through Rates: Engagement with linked news sources Subscriber Growth: New signups and retention rates Forward/Share Rates: Viral coefficient of your content Content Quality Measurements Relevance Scores: Subscriber feedback on content usefulness Timeliness: How quickly breaking news reaches subscribers Accuracy: Verification of AI-summarized content Completeness: Coverage of important stories in your focus areas 📞 Questions & Support Need assistance with your AI News Digest Agent setup or optimization? 📧 Technical Support Email: Yaron@nofluff.online Response Time: Within 24 hours on business days Specialization: NewsAPI integration, AI content optimization, email deliverability 🎥 Educational Resources YouTube Channel: https://www.youtube.com/@YaronBeen/videos Complete setup and configuration tutorials Advanced customization techniques for different industries Email marketing best practices for automated newsletters Troubleshooting common integration issues Scaling strategies for growing subscriber lists 🤝 Professional Community LinkedIn: https://www.linkedin.com/in/yaronbeen/ Connect for ongoing newsletter automation support Share your news curation success stories Access exclusive templates and workflow variations Join discussions about content automation trends 💬 Support Request Best Practices Include in your support message: Your target audience and newsletter focus Current subscriber count and growth goals Specific news categories or geographic regions of interest Any technical errors or integration challenges Current content creation workflow and pain points

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Auto-Publish Technology News to WordPress with GPT-4o Content Enhancement This comprehensive automated workflow fetches the latest technology news every 3 hours, leverages OpenAI's GPT-4o to analyze and transform news articles into engaging blog posts, and publishes them directly to your WordPress website. The system includes robust error handling with email notifications to ensure smooth operation, making it perfect for keeping your blog updated with fresh, AI-enhanced content without manual intervention. What This Workflow Does The workflow demonstrates several key automation concepts: Schedule recurring automated tasks with precise timing control Fetch data from external APIs (News API) with proper authentication Process content in batches for efficient handling Use AI for intelligent content transformation and enhancement Format and structure data for publishing platforms Publish to content management systems automatically Implement comprehensive error handling and notifications Prerequisites & Requirements Before setting up this workflow, ensure you have: Required API Credentials News API Key**: Sign up at newsapi.org for free access to news articles OpenAI API Key**: Create an account at platform.openai.com and generate an API key with GPT-4o access WordPress API Access**: Your WordPress site must have REST API enabled (default in modern WordPress) SMTP Email Account**: For error notifications (Gmail, Outlook, or custom SMTP) WordPress Setup WordPress 4.7+ with REST API enabled Application password or JWT authentication configured Appropriate user permissions for post creation n8n Configuration n8n instance (cloud or self-hosted) Proper credential storage for all external services Step-by-Step Setup Instructions Step 1: Configure News API Credentials Navigate to n8n Credentials section Create new "News API" credential Enter your API key from newsapi.org Test the connection to ensure it's working Step 2: Set Up OpenAI Integration Add OpenAI credentials in n8n Enter your API key from OpenAI platform Ensure you have access to GPT-4o model Configure rate limiting if needed Step 3: WordPress Connection Create WordPress API credentials Use either application password or JWT token Test connection with a sample API call Verify post creation permissions Step 4: Email Notifications Setup Configure SMTP credentials for error handling Set recipient email addresses Customize error message templates Test email delivery Step 5: Import and Configure Workflow Import the JSON workflow into your n8n instance Update the "News API Batch Processor" node settings Modify the schedule trigger frequency if needed (default: every 3 hours) Customize the AI prompt in the OpenAI node for your brand voice Adjust WordPress post settings (categories, tags, status) Customization Options Content Filtering Modify news categories (technology, business, science, etc.) Adjust country selection for regional news Change article count per batch (default: 10) AI Content Enhancement Customize the system prompt for different writing styles Adjust creativity level (temperature parameter) Modify output length and format requirements Add specific instructions for your brand voice Publishing Settings Configure post status (draft, publish, private) Set default categories and tags Add custom fields or metadata Schedule publishing times Error Handling Customize error notification recipients Modify retry logic for failed requests Add additional error handling branches Configure logging levels Workflow Architecture The workflow consists of 8 strategically connected nodes: Schedule Trigger: Initiates the workflow every 3 hours HTTP Request - News API: Fetches latest technology headlines News API Batch Processor: Splits articles for individual processing OpenAI - Analyze News: Transforms articles into engaging blog posts Set Blog Post: Formats data for WordPress publication WordPress - Create Post: Publishes content to your website Error Handler: Catches and processes any workflow failures Send Error Email: Notifies administrators of issues Expected Output Each processed article generates: SEO-optimized blog post title Well-structured HTML content with headings and paragraphs Engaging introduction and conclusion Source attribution and links Automatic publishing to WordPress Metadata including publish date and source URL Monitoring & Maintenance Performance Monitoring Check execution logs regularly Monitor API rate limits and usage Review generated content quality Track WordPress post metrics Regular Updates Update API keys when they expire Adjust content filters based on performance Refine AI prompts for better output Monitor and update error handling rules Troubleshooting Common Issues API Rate Limits Reduce batch size if hitting News API limits Implement delays between OpenAI requests Monitor usage dashboards Content Quality Refine system prompts for better AI output Add content validation steps Implement human review queues for sensitive topics WordPress Publishing Verify user permissions and authentication Check for plugin conflicts Ensure proper REST API configuration This template provides a solid foundation for automated content creation and can be extended with additional features like social media posting, content scheduling, or advanced analytics integration.

This workflow template demonstrates how to create an AI-powered agent that provides users with current weather information and Wikipedia summaries. By integrating n8n with Ollama's local Large Language Models (LLMs), this template offers a seamless and privacy-conscious solution for real-time data retrieval and summarization. Who is this for? Developers and Enthusiasts: Individuals interested in building AI-driven workflows without relying on external APIs. Privacy-Conscious Users: Those who prefer processing data locally to maintain control over their information. Educators and Students: Learners seeking hands-on experience with AI integrations and workflow automation. What problem does this workflow solve? Accessing up-to-date weather information and concise Wikipedia summaries typically requires multiple API calls to external services, which can raise privacy concerns and incur costs. This workflow addresses these issues by utilizing Ollama's self-hosted LLMs within n8n, enabling users to retrieve and process information locally. What this workflow does: User Input Capture: Begins with a chat interface where users can input queries. AI Processing: The input is sent to an AI Agent node configured with Ollama's LLMs, which interprets the query and determines the required actions. Weather Retrieval: For weather-related queries, the workflow fetches current weather data from a specified source. Wikipedia Summarization: For queries seeking information, it retrieves relevant Wikipedia content and generates concise summaries. Setup: Install Required Tools: Ollama: Install and run Ollama to manage local LLMs. Configure n8n Workflow: Import the provided workflow template into your n8n instance. Set up the AI Agent node to connect with Ollama's API. Ensure nodes responsible for fetching weather data and Wikipedia content are correctly configured. Run the Workflow: Start the workflow and interact with the chat interface to test various queries. How to customize this workflow to your needs: Automate Triggers: Set up scheduled triggers to provide users with regular updates, such as daily weather forecasts or featured Wikipedia articles.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works This workflow demonstrates how to create a resilient AI Agent that automatically falls back to a different language model if the primary one fails. This is useful for handling API errors, rate limits, or model outages without interrupting your process. State Initialization: The Agent Variables node initializes a fail_count to 0. This counter tracks how many models have been attempted. Dynamic Model Selection: The Fallback Models (a LangChain Code node) acts as a router. It receives a list of all connected AI models and, based on the current fail_count, selects which one to use for this attempt (0 for the first model, 1 for the second, etc.). Agent Execution: The AI Agent node attempts to run your prompt using the model selected by the router. The Fallback Loop: On Success: The workflow completes successfully. On Error: If the AI Agent node fails, its "On Error" output is triggered. This path loops back to the Agent Variables node, which increments the fail_count by 1. The process then repeats, causing the Fallback Models router to select the next model in the list. Final Failure: If all connected models are tried and fail, the workflow will stop with an error. Set up steps Setup time: ~3-5 minutes Configure Credentials: Ensure you have the necessary credentials (e.g., for OpenAI, Google AI) configured in your n8n instance. Define Your Model Chain: Add the AI model nodes you want to use to the canvas (e.g., OpenAI, Google Gemini, Anthropic). Connect them to the Fallback Models node. Important: The order in which you connect the models determines the fallback order. The model nodes first created/connected will be tried first. Set Your Prompt: Open the AI Agent node and enter the prompt you want to execute. Test: Run the workflow. To test the fallback logic, you can temporarily disable the First Model node or configure it with invalid credentials to force an error.

Who is this for? This workflow is designed for SEO specialists, content creators, marketers, and website developers who want to ensure their web content is easily accessible, understandable, and indexable by Large Language Models (LLMs) like ChatGPT, Perplexity, and Google AI Overviews. If you're looking to optimize your site for the evolving AI-driven search landscape, this template is for you. What problem is this workflow solving? / Use case Modern AI tools often crawl websites without executing JavaScript. This can lead to them "seeing" a very different version of your page than a human user or traditional search engine bot might. This workflow helps you: Identify how much of your content is visible without JavaScript. Check for crucial on-page SEO elements that AI relies on (headings, meta descriptions, structured data). Detect if your site presents JavaScript-blocking warnings. Get an AI-generated readability score and actionable recommendations to improve AI-friendliness. What this workflow does Receives a URL via a chat interface. Sanitizes the input URL to ensure it's correctly formatted. Fetches the website's HTML content, simulating a non-JavaScript crawler (like Googlebot). Extracts key HTML features: visible text length, presence of H1/H2/H3 tags, meta description, Open Graph data, structured data (JSON-LD), and <noscript> tags. It also checks for common JavaScript-blocking messages. Performs an AI SEO Analysis using an LLM (via OpenAI) based on the extracted features. Provides a report including an AI Readability Score (0-10), a summary, actionable recommendations, and a reminder to check the robots.txt file for AI bot access. Setup Estimated setup time:** 2-5 minutes. Import this workflow into your n8n instance. Ensure you have an OpenAI account and API key. Configure the "OpenAI Chat Model" node with your OpenAI API credentials. If you don't have credentials set up yet, create new ones in n8n. Activate the workflow. Interact with the chat interface provided by the "When chat message received" trigger node (you can access this via its webhook URL). How to customize this workflow to your needs Change LLM Model:** In the "OpenAI Chat Model" node, you can select a different model that suits your needs or budget. Adjust AI Prompt:** Modify the prompt in the "AI SEO Analysis" node (Chain Llm) to change the focus of the analysis or the format of the report. For example, you could ask for more technical details or a different scoring system. User-Agent:** The "Get HTML from Website" node uses a Googlebot User-Agent. You can change this to simulate other bots if needed. JS Block Indicators:** The "Extract HTML Features" node contains a list of common JavaScript-blocking phrases. You can expand this list with other languages or specific messages relevant to your checks.

AI-Powered Proposal Generator - Sales Automation Workflow Overview This n8n workflow automates the entire proposal generation process using AI, transforming client requirements into professional, customized proposals delivered via email in seconds. Use Case Perfect for agencies, consultants, and sales teams who need to generate high-quality proposals quickly. Instead of spending hours writing proposals manually, this workflow captures client information through a web form and uses GPT-4 to generate contextually relevant, professional proposals. How It Works Form Trigger - Captures client information through a customizable web form OpenAI Integration - Processes form data and generates structured proposal content Google Drive - Creates a copy of your proposal template Google Slides - Populates the template with AI-generated content Gmail - Automatically sends the completed proposal to the client Key Features AI Content Generation**: Uses GPT-4 to create personalized proposal content Professional Templates**: Integrates with Google Slides for polished presentations Automated Delivery**: Sends proposals directly to clients via email Form Integration**: Captures all necessary client data through web forms Customizable Output**: Generates structured proposals with multiple sections Template Sections Generated Proposal title and description Problem summary analysis Three-part solution breakdown Project scope details Milestone timeline with dates Cost integration Requirements n8n instance** (cloud or self-hosted) OpenAI API key** for content generation Google Workspace account** for Slides and Gmail Basic n8n knowledge** for setup and customization Setup Complexity Intermediate - Requires API credentials setup and basic workflow customization Benefits Time Savings**: Reduces proposal creation from hours to minutes Consistency**: Ensures all proposals follow the same professional structure Personalization**: AI analyzes client needs for relevant content Automation**: Eliminates manual copy-paste and formatting work Scalability**: Handle multiple proposal requests simultaneously Customization Options Modify AI prompts for different industries or services Customize Google Slides template design Adjust form fields for specific information needs Personalize email templates and signatures Configure milestone templates for different project types Error Handling Includes basic error handling for API failures and form validation to ensure reliable operation. Security Notes All credentials have been removed from this template. Users must configure their own: OpenAI API credentials Google OAuth2 connections for Slides, Drive, and Gmail Form webhook configuration This workflow demonstrates practical AI integration in business processes and showcases n8n's capabilities for complex automation scenarios.

🧩 Workflow: Process Tour PDF from Google Drive to Pinecone Vector DB with OpenAI Embeddings Overview This workflow automates the process of extracting tour information from PDF files stored in a Google Drive folder, processes and vectorizes the extracted data, and stores it in a Pinecone vector database for efficient querying. This is especially useful for building AI-powered search or recommendation systems for travel packages. Setup: Prerequisites A folder in Google Drive with PDF tour package brochures. Pinecone account + API key OpenAI API key n8n cloud or self-hosted instance Workflow Setup Steps Trigger Manual Trigger (When clicking 'Test workflow'): Used for manual testing and execution of the workflow. Google Drive Integration Step 1: Store Tour Packages in PDF Format Upload your curated tour packages containing the tours, activities and sight-seeings in PDF format into a designated Google Drive folder. Step 2: Search Folder Node: PDF Tour Package Folder (Google Drive) This node searches the designated folder for files (filter by MIME type = application/pdf if needed). Step 3: Download PDFs Node: Download Package Files (Google Drive) Downloads each matching PDF file found in the previous step. Process Each PDF File Step 4: Loop Through Files Node: Loop Over each PDF file Iterates through each downloaded PDF file to extract, clean, split, and embed. Data Preparation & Embedding Step 5: Data Loader Node: Data Loader Reads each PDF’s content using a compatible loader. It passes clean raw text to the next node. Often integrated with document loaders like pdf-loader, Unstructured, or pdfplumber. Step 6: Recursive Text Splitter Node: Recursive Character Text Splitter Splits large chunks of text into manageable segments using overlapping window logic (e.g., 500 tokens with 50 token overlap). This ensures contextual preservation for long documents during embedding. Step 7: Generate Embeddings Node: Embeddings OpenAI Uses text-embedding-3-small model to vectorize the split chunks. Outputs vector representations for each content chunk. Store in Pinecone Step 8: Pinecone Vector Store Node: Pinecone Vector Store - Store... Stores each embedding along with its metadata (source PDF name, chunk ID, etc.). This becomes the basis for fast, semantic search via RAG workflows or agents. 🛠️ Tools & Nodes Used Google Drive (Search & Download) Searches for all PDF files in a specified Google Drive folder. Downloads each file for processing. SplitInBatches (Loop Over Items) Loops through each file found in the folder, ensuring each is processed individually. Default Data Loader (LangChain) Reads and extracts text from the PDF files. Recursive Character Text Splitter (LangChain) Splits the extracted text into manageable chunks for embedding. OpenAI Embeddings (LangChain) Converts each text chunk into a vector using OpenAI’s embedding model. Pinecone Vector Store (LangChain) Stores the resulting vectors in a Pinecone index for fast similarity search and querying. 🔗 Workflow Steps Explained Trigger: The workflow starts manually for testing or can be scheduled. Google Drive Search: Finds all PDF files in the specified folder. Loop Over Files: Each file is processed one at a time using the SplitInBatches node. Download File: Downloads the current PDF file from Google Drive. Extract Text: The Default Data Loader node reads the PDF and extracts its text content. *Text Splitting: * The Recursive Character Text Splitter breaks the text into chunks (e.g., 1000 characters with 50 overlap) to optimize embedding quality. **Vectorization: **Each chunk is sent to the OpenAI Embeddings node to generate vector representations. Store in Pinecone: The vectors are inserted into a Pinecone index, making them available for semantic search and recommendations. 🚀 What Can Be Improved in the Next Version? *Error Handling: * Add error handling nodes to manage failed downloads or extraction issues gracefully. File Type Filtering: Ensure only PDF files are processed by adding a filter node. Metadata Storage: Store additional metadata (e.g., file name, tour ID) alongside vectors in Pinecone for richer search results. *Parallel Processing: * Optimize for large folders by processing multiple files in parallel (with care for API rate limits). Automated Triggers: Replace manual trigger with a time-based or webhook trigger for full automation. Data Validation: Add checks to ensure extracted text contains valid tour data before vectorization. User Feedback: Integrate notifications (e.g., email or Slack) to inform when processing is complete or if issues arise. 💡 Summary This workflow demonstrates how n8n can orchestrate a powerful AI data pipeline using Google Drive, LangChain, OpenAI, and Pinecone. It’s a great foundation for building intelligent search or recommendation features for travel and tour data. Feel free to ask for more details or share your improvements! Let me know if you want to see a specific part of the workflow or need help with a particular node!

Who is this for? Professionals and individuals who receive high volumes of emails, those who want to automatically organize their Gmail inbox using AI classification. What problem is this workflow solving? Manual email sorting is time-consuming and inconsistent. This workflow automatically categorizes incoming emails into 8 predefined labels (To respond, FYI, Comment, Notification, Meeting update, Awaiting reply, Actioned, Marketing) to help maintain inbox zero and prioritize responses. What this workflow does Monitors Gmail for new incoming emails Uses AI to analyze email content and classify into appropriate categories Automatically applies the corresponding Gmail label Runs on a schedule to process emails consistently Setup Prerequisites n8n instance (cloud or self-hosted) Gmail account with API access enabled Access to an LLM provider (OpenAI, Anthropic Claude, or similar) Step-by-Step Configure Gmail Credentials Create Gmail Labels Configure LLM Chain Set Email Polling Schedule Test the Workflow Create Gmail Labels Before running the workflow, create these 8 labels in your Gmail account: To respond FYI Comment Notification Meeting update Awaiting reply Actioned Marketing How to customize this workflow to your needs Modify Classification Categories To change the email categories, update two places: In the AI prompt (Basic LLM Chain node): Your new category - Description of what emails fit here Another category - Description [... continue with your categories] In Gmail labels: Create corresponding labels in your Gmail account with the exact same names and numbering. Adjust Classification Rules The AI prompt contains specific rules for each category. To modify: Edit the "Key classification rules" section in the LLM prompt Add examples of emails that should go into each category Specify edge cases and how they should be handled Change Email Sources Currently monitors all incoming emails. To filter specific emails: In the Gmail Trigger node, add filters such as: from:specific-sender@domain.com subject:contains-keyword -label:already-processed You can also change this use Outlook Modify Polling Frequency More frequent**: Add multiple poll times (e.g., 9 AM, 12 PM, 6 PM) Less frequent**: Change to once daily or weekly Real-time**: Switch to webhook-based triggering (requires Gmail API setup) I choose daily for cost.

What this workflow does This workflow automatically turns new technical video uploads into short, engaging Facebook post drafts—complete with a suggested image—and saves the results to Google Sheets for quick review or publishing. It’s designed to help you repurpose tutorial or demo videos into ready-to-use social content without any manual writing or design effort. What problem is this workflow solving? Manually writing Facebook posts for every new tutorial or product video takes time, especially when you want them to be engaging and consistent. This workflow solves that by using AI to watch for new videos, extract meaningful insights, and write posts and create visuals automatically—saving hours of work. Who is this for? This workflow is ideal for: Content creators uploading tutorial videos Marketing teams working with how-to or product videos Agencies and automation pros building scalable social workflows for clients How it works Trigger: Starts when a new video is uploaded to a specific Google Drive folder. Download & Convert: Downloads the video and converts it to base64. Extract Insights: Dumpling AI analyzes the video and extracts structured insights such as topic, tools mentioned, and key steps. Generate Post: GPT-4o creates a short, friendly Facebook post using those insights, along with an image prompt. Create Visual: Dumpling AI generates an image using the prompt. Save to Sheet: The Facebook post and image URL are saved to a Google Sheet. Setup Create a Google Sheet to store the posts and images. Connect your Google Drive, Google Sheets, Dumpling AI, and OpenAI credentials in n8n. Update the workflow with: Your Google Drive folder ID Your target Google Sheet ID (Optional) Edit the prompt used in the GPT node if you want a different tone, style, or structure for the post. How to customize the workflow Change the platform**: Replace “Facebook” in the prompt with LinkedIn, Instagram, or another platform. Use a different image tool**: You can swap Dumpling AI for any other image generation API (e.g. DALL·E, Midjourney via webhook). Add auto-publishing**: Add a Facebook or social media module to publish the generated post directly instead of just saving to Google Sheets. Tag videos by content type**: Use AI to classify videos into categories and store them in separate tabs or sheets.

This n8n template demonstrates how to create an intelligent food recipe assistant that accepts requests via Gmail and web forms, processes them using AI chat models (Ollama and Llama 3.2), and delivers personalized recipes back to users. The system combines multiple input methods with advanced AI processing to provide customized cooking instructions and ingredient lists. Good to know The system accepts recipe requests through both Gmail and web form submissions AI models understand dietary restrictions, cuisine preferences, and cooking skill levels Recipe responses include formatted ingredients, step-by-step instructions, and cooking tips All requests are processed automatically without manual intervention How it works Gmail Recipe Request Workflow Gmail triggers activate when users send emails with recipe requests to the designated email address The system extracts recipe requirements, dietary preferences, and cooking constraints from email content User queries are processed through the Ollama Recipe Generator for intelligent recipe creation AI-generated recipes are formatted with proper ingredients, instructions, and cooking times Formatted recipes are sent back to users via Gmail with a professional presentation Web Form Recipe Request Workflow Web form submissions trigger when users fill out structured recipe request forms Form data includes cuisine type, dietary restrictions, available ingredients, and cooking time preferences The Llama 3.2 Chef Model processes structured requests for optimized recipe generation Recipes are formatted with clear instructions, ingredient measurements, and cooking techniques Users receive formatted recipes via email with additional cooking tips and variations How to use Import the workflow into your n8n instance and configure Gmail integration for recipe requests Set up the web form with fields for cuisine preferences, dietary restrictions, and cooking skill level Configure Ollama and Llama 3.2 AI models with appropriate recipe generation prompts Test both Gmail and web form inputs with sample recipe requests Customize email templates to match your brand and include additional cooking resources The system scales automatically to handle multiple simultaneous recipe requests Requirements Gmail account for email-based recipe requests and responses Ollama installation with Recipe Generator model Llama 3.2 Chef Model access for advanced recipe processing n8n instance with Gmail and AI model integrations Customising this workflow Recipe automation can be adapted for different cuisines, dietary needs, and cooking skill levels Try popular use-cases such as meal planning assistance, ingredient substitution suggestions, or nutritional information inclusion The workflow can be extended to include recipe image generation, shopping list creation, and cooking video recommendations

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automates the process of scraping product data from e-commerce websites and using it to fine-tune a custom OpenAI GPT model for generating high-quality marketing copy and product descriptions. Main Use Cases Fine-tune OpenAI models with real product data from hundreds of supported e-commerce websites for marketing content generation. Create custom AI models specialized in writing compelling product descriptions across different industries and platforms. Automate the entire pipeline from data collection to model training using Bright Data's extensive scraper library. Generate marketing copy using your custom-trained model via an interactive chat interface. How it works The workflow operates in two main phases: model training and model usage, organized into these stages: Data Collection & Processing Manually triggered to start the fine-tuning process. Uses Bright Data's web scraper to extract product information from any supported e-commerce platform (Amazon, eBay, Shopify stores, Walmart, Target, and hundreds of other websites). Collects product titles, brands, features, descriptions, ratings, and availability status from your chosen platform. Easily customizable to scrape from different websites by simply changing the dataset configuration and product URLs. Training Data Preparation A Code node processes the scraped product data to create training examples in OpenAI's required JSONL format. For each product, generates a complete training example with: System message defining the AI's role as a marketing assistant. User prompt containing specific product details (title, brand, features, original description snippet). Assistant response providing an ideal marketing description template. Compiles all training examples into a single JSONL file ready for OpenAI fine-tuning. Model Fine-Tuning Uploads the training file to OpenAI using the OpenAI File Upload node. Initiates a fine-tuning job via HTTP Request to OpenAI's fine-tuning API using the GPT-4o-mini model as the base. The fine-tuning process runs on OpenAI's servers to create your custom model. Interactive Chat Interface Provides a chat trigger that allows real-time interaction with your fine-tuned model. An AI Agent node connects to your custom-trained OpenAI model. Users can chat with the model to generate product descriptions, marketing copy, or other content based on the training. Custom Model Integration The OpenAI Chat Model node is configured to use your specific fine-tuned model ID. Delivers responses trained on your product data for consistent, high-quality marketing content. Summary Flow: Manual Trigger → Scrape E-commerce Products (Bright Data) → Process & Format Training Data (Code) → Upload Training File (OpenAI) → Start Fine-Tuning Job (HTTP Request) | Parallel: Chat Trigger → AI Agent → Custom Fine-Tuned Model Response Benefits: Fully automated pipeline from raw product data to trained AI model. Works with hundreds of different e-commerce websites through Bright Data's extensive scraper library. Creates specialized models trained on real e-commerce data for authentic marketing copy across various industries. Scalable solution that can be adapted to different product categories, niches, or websites. Interactive chat interface for immediate access to your custom-trained model. Cost-effective fine-tuning using OpenAI's most efficient model (GPT-4o-mini). Easily customizable with different websites, product URLs, training prompts, and model configurations. Setup Requirements: Bright Data API credentials for web scraping (supports hundreds of e-commerce websites). OpenAI API key with fine-tuning access. Replace placeholder credential IDs and model IDs with your actual values. Customize the product URLs list and Bright Data dataset for your specific website and use case. The workflow can be adapted for any e-commerce platform supported by Bright Data's scraping infrastructure.