Workflow Templates

Description This workflow is designed to automate the security reputation check of domains and IP addresses using multiple APIs such as VirusTotal, AbuseIPDB, and Google DNS. It assesses potential threats including malicious and suspicious scores, as well as email security configurations (SPF, DKIM, DMARC). The analysis results are processed by AI to produce a concise assessment, then automatically updated into Google Sheets for documentation and follow-up. How It Works Automatic Trigger – The workflow runs periodically via a Schedule Trigger. Data Retrieval – Fetches a list of domains from Google Sheets with status "To do". Domain Analysis – Uses VirusTotal API to get the domain report, perform a rescan, and check IP resolutions. IP Analysis – Checks IP reputation using AbuseIPDB. Email Security Validation – Verifies SPF, DKIM, and DMARC configurations via Google DNS. AI Assessment – Analysis data is processed by AI to produce a short summary in Indonesian. Data Update – The results are automatically updated to Google Sheets, changing the status to "Done" or adding notes if potential threats are found. How to Setup Prepare API Keys Sign up and obtain API keys from VirusTotal and AbuseIPDB. Set up access to Google Sheets API. Configure Credentials in n8n Add VirusTotal API, AbuseIPDB API, and Google Sheets OAuth credentials in n8n. Prepare Google Sheets Create a sheet with columns No, Domain, Customer, Keterangan, Status. Ensure initial data has the status "To do". Import Workflow Upload the workflow JSON file into n8n. Set Schedule Trigger Define the checking interval as needed (e.g., every 1 hour). Test Run Run the workflow manually to ensure all API connections and Google Sheets output work properly.

Description AI-Powered Business Idea Generation & Social Media Content Strategy Workflow This intelligent content discovery and strategy system features 15 nodes that automatically monitor Reddit communities, analyze business opportunities, and generate targeted social media content for AI automation agencies and entrepreneurs. It leverages AI classification, structured analysis, and automated content creation to transform community discussions into actionable business insights and marketing materials. Core Components Reddit Intelligence: Multi-subreddit monitoring across AI automation, n8n, and entrepreneur communities with keyword-based filtering. AI Classification Engine: Intelligent categorization of posts into "Questions" vs "Requests" using LangChain text classification. Dual Analysis System: Specialized AI agents for educational content (questions) and sales-focused content (service requests). Content Strategy Generator: Automated creation of LinkedIn and Twitter content tailored to different audience engagement strategies. Telegram Integration: Real-time delivery of formatted content strategies and business insights. Structured Output Processing: JSON-formatted analysis with relevancy scores, feasibility assessments, and actionable content recommendations. Target Users • AI Automation Agency Owners seeking consistent lead generation and thought leadership content • Entrepreneurs wanting to identify market opportunities and position themselves as industry experts • Content Creators in the automation/AI space needing data-driven content strategies • Business Development Professionals looking for systematic opportunity identification • Digital Marketing Agencies serving tech and automation clients Setup Requirements To get started, you'll need: Reddit API Access: OAuth2 credentials for accessing Reddit's API and monitoring multiple subreddits. Required APIs: • OpenRouter (for AI model access - supports GPT-4, Claude, and other models) • Reddit OAuth2 API (for community monitoring and data extraction) n8n Prerequisites: • Version 1.7+ with LangChain nodes enabled • Webhook configuration for Telegram integration • Proper credential storage and management setup Telegram Bot: Create via @BotFather for receiving formatted content strategies and business insights. Disclaimer: This template uses LangChain nodes and Reddit API integration. Ensure your n8n instance supports these features and verify API rate limits for production use. Step-by-Step Setup Guide Install n8n: Ensure you're running n8n version 1.7 or higher with LangChain node support enabled. Set Up API Credentials: • Create Reddit OAuth2 application at reddit.com/prefs/apps • Set up OpenRouter account and obtain API key • Store credentials securely in n8n credential manager Create Telegram Bot: • Go to Telegram, search for @BotFather • Create new bot and note the token • Configure webhook pointing to your n8n instance Import the Workflow: • Copy the workflow JSON from the template submission • Import into your n8n dashboard • Verify all nodes are properly connected Configure Monitoring Settings: • Adjust subreddit targets (currently: ArtificialIntelligence, n8n, entrepreneur) • Set keyword filters for relevant topics • Configure post limits and sorting preferences Customize AI Analysis: • Update system prompts to match your business expertise • Adjust relevancy and feasibility scoring criteria • Modify content generation templates for your brand voice Test the Workflow: • Run manual execution to verify Reddit data collection • Check AI classification and analysis outputs • Confirm Telegram delivery of formatted content Schedule Automation: • Set up daily trigger (currently configured for 12 PM) • Monitor execution logs for any API rate limit issues • Adjust frequency based on content volume needs Usage Instructions Automated Discovery: The workflow runs daily at 12 PM, scanning three key subreddits for relevant posts about AI automation, business opportunities, and n8n workflows. Intelligent Classification: Posts are automatically categorized as either "Questions" (educational opportunities) or "Requests" (potential service leads) using AI text classification. Dual Analysis Approach: • Questions → Educational content strategy with relevancy and detail scoring • Requests → Sales-focused content with relevancy and feasibility scoring Content Strategy Generation: Each analyzed post generates: • 3 LinkedIn posts (thought leadership, case studies, educational frameworks) • 3 Twitter posts (quick insights, engagement questions, thread starters) Telegram Delivery: Receive formatted content strategies with: • Post summaries and business context • Relevancy/feasibility scores • Ready-to-use social media content • Strategic recommendations Content Customization: Adapt generated content for different tones (business, educational, technical) and posting schedules. Workflow Features Multi-Platform Monitoring: Simultaneous tracking of 3 key Reddit communities with customizable keyword filters. AI-Powered Classification: Automatic categorization of posts into actionable content types. Dual Scoring System: • Relevancy scores (0.05-0.95) for business alignment • Detail/Feasibility scores (0.05-0.95) for content quality assessment Content Variety: Generates both educational and sales-focused social media strategies. Structured Output: JSON-formatted analysis for easy integration with other systems. Real-time Delivery: Instant Telegram notifications with formatted content strategies. Scalable Monitoring: Easy addition of new subreddits and keyword filters. Error Handling: Comprehensive validation with graceful failure management. Performance Specifications • Monitoring Frequency: Daily automated execution with manual trigger capability • Post Analysis: 5 posts per subreddit (15 total daily) • Content Generation: 6 social media posts per analyzed opportunity • Classification Accuracy: AI-powered with structured output validation • Delivery Method: Real-time Telegram integration • Scoring Range: 0.05-0.95 scale for relevancy and feasibility assessment Why This Workflow? Systematic Opportunity Identification: Never miss potential business opportunities or content ideas from key communities. AI-Enhanced Analysis: Leverage advanced language models for intelligent content categorization and strategy generation. Time-Efficient Content Creation: Transform community discussions into ready-to-use social media content. Data-Driven Insights: Quantified scoring helps prioritize opportunities and content strategies. Automated Lead Intelligence: Identify potential service requests and educational content opportunities automatically. Workflow Image Need help customizing this workflow for your specific use case? As a fellow entrepreneur passionate about automation and business development, I'd be happy to consult. Connect with me on LinkedIn: https://www.linkedin.com/in/femi-adedayo-h44/ or email for support. Let's make your AI automation agency even more efficient!

AI-Powered Financial Document Processing with Google Gemini This comprehensive workflow automates the complete financial document processing pipeline using AI. Upload invoices via chat, drop expense receipts into a folder, or add bank statements - the system automatically extracts, categorizes, and organizes all your financial data into structured Google Sheets. What this workflow does Processes three types of financial documents automatically: Invoice Processing**: Upload PDF invoices through a chat interface and get structured data extraction with automatic file organization Expense Management**: Monitor a Google Drive folder for new receipts and automatically categorize expenses using AI Bank Statement Processing**: Extract and organize transaction data from bank statements with multi-transaction support Financial Analysis**: Query all your financial data using natural language with an AI agent Key Features Multi-AI Persona System**: Four specialized AI personas (Mark, Donna, Victor, Andrew) handle different financial functions Google Gemini Integration**: Advanced document understanding and data extraction from PDFs Smart Expense Categorization**: Automatic classification into 17 business expense categories using LLM Real-time Monitoring**: Continuous folder watching for new documents with automatic processing Natural Language Queries**: Ask questions about your financial data in plain English Automatic File Management**: Intelligent file naming and organization in Google Drive Comprehensive Error Handling**: Robust processing that continues even when individual documents fail How it works Invoice Processing Flow User uploads PDF invoice via chat interface File is saved to Google Drive "Invoices" folder Google Gemini extracts structured data (vendor, amounts, line items, dates) Data is parsed and saved to "Invoice Records" Google Sheet File is renamed as "{Vendor Name} - {Invoice Number}" Confirmation message sent to user Expense Processing Flow User drops receipt PDF into "Expense Receipts" Google Drive folder System detects new file within 1 minute Google Gemini extracts expense data (merchant, amount, payment method) OpenRouter LLM categorizes expense into appropriate business category All data saved to "Expenses Recording" Google Sheet Bank Statement Processing Flow User uploads bank statement to "Bank Statements" folder Google Gemini extracts multiple transactions from statement Custom JavaScript parser handles various bank formats Individual transactions saved to "Bank Transactions Record" Google Sheet Financial Analysis Enable the analysis trigger when needed Ask questions in natural language about your financial data AI agent accesses all three spreadsheets to provide insights Get reports, summaries, and trend analysis What you need to set up Required APIs and Credentials Google Drive API** - For file storage and monitoring Google Sheets API** - For data storage and retrieval Google Gemini API** - For document processing and data extraction OpenRouter API** - For expense categorization (supports multiple LLM providers) Google Drive Folder Structure Create these folders in your Google Drive: "Invoices" - Processed invoice storage "Expense Receipts" - Drop zone for expense receipts (monitored) "Bank Statements" - Drop zone for bank statements (monitored) Google Sheets Setup Create three spreadsheets with these column headers: Invoice Records Sheet: Vendor Name, Invoice Number, Invoice Date, Due Date, Total Amount, VAT Amount, Line Item Description, Quantity, Unit Price, Total Price Expenses Recording Sheet: Merchant Name, Transaction Date, Total Amount, Tax Amount, Payment Method, Line Item Description, Quantity, Unit Price, Total Price, Category Bank Transactions Record Sheet: Transaction ID, Date, Description/Payee, Debit (-), Credit (+), Currency, Running Balance, Notes/Category Use Cases Small Business Accounting**: Automate invoice and expense tracking for bookkeeping Freelancer Financial Management**: Organize client invoices and business expenses Corporate Expense Management**: Streamline employee expense report processing Financial Data Analysis**: Generate insights from historical financial data Bank Reconciliation**: Automate transaction recording and account reconciliation Tax Preparation**: Maintain organized records with proper categorization Technical Highlights Expense Categories**: 17 predefined business expense categories (Cost of Goods Sold, Marketing, Payroll, etc.) Multi-format Support**: Handles various PDF layouts and bank statement formats Scalable Processing**: Processes multiple documents simultaneously Error Recovery**: Continues processing even when individual documents fail Natural Language Interface**: No technical knowledge required for financial queries Real-time Processing**: Documents processed within minutes of upload Benefits Time Savings**: Eliminates manual data entry from financial documents Accuracy**: AI-powered extraction reduces human error Organization**: Automatic file naming and categorization Insights**: Query financial data using natural language Compliance**: Maintains organized records for accounting and audit purposes Scalability**: Handles growing document volumes without additional overhead This workflow transforms tedious financial document processing into an automated, intelligent system that grows with your business needs.

AI Ad Scraper & Image Generator with Facebook Ad Library Categories: PPC Automation, Creative Generation, Competitive Intelligence This workflow creates an end-to-end ad library scraper and AI image spinner system that automatically discovers competitor ads, analyzes their design elements, and generates multiple unique variations ready for your own campaigns. Built to eliminate 60-70% of manual creative work for PPC agencies, this system transforms competitor research into actionable ad variants in minutes. Benefits Automated Competitor Research** - Scrapes Facebook Ad Library for active competitor campaigns automatically AI-Powered Creative Analysis** - Uses OpenAI vision to comprehensively analyze ad design elements and copy Intelligent Image Generation** - Creates 3+ unique variations per source ad while maintaining effective layouts Complete Asset Organization** - Automatically organizes source ads and generated variations in structured Google Drive folders Campaign-Ready Output** - Generates Google Sheets database with direct links to all assets for immediate campaign deployment Massive Time Savings** - Replaces hours of manual creative work with automated competitive intelligence and generation How It Works Facebook Ad Library Scraping: Connects to Facebook's Ad Library through Apify scraper integration Searches active ads based on keywords, industries, or competitor targeting Filters for image-based ads and removes video-only content for processing Intelligent Asset Organization: Creates unique Google Drive folder structure for each scraped ad campaign Separates source competitor ads from AI-generated variations Maintains organized asset library for easy campaign management and iteration AI-Powered Creative Analysis: Uses OpenAI's vision model to comprehensively describe each competitor ad Identifies design elements, color schemes, layout patterns, and messaging approaches Generates detailed creative briefs for intelligent variation generation Smart Image Variation System: Creates 3 unique style variations per source ad using advanced AI prompting Maintains effective layout structures while changing colors, fonts, and styling Customizes messaging and branding to match your business requirements Campaign Database Integration: Logs all source ads and generated variations in organized Google Sheets Provides direct links to all assets for immediate campaign deployment Tracks performance data and creative iterations for ongoing optimization Required Setup Configuration Google Drive Structure: The workflow automatically creates this folder organization: PPC Thievery (Parent Folder) ├── [Ad Archive ID] (Per Campaign) │ ├── 1. Source Assets (Original competitor ads) │ └── 2. Spun Assets (AI-generated variations) Google Sheets Database Columns: timestamp - Unique record identifier ad_archive_id - Facebook's internal ad identifier page_id - Advertiser's Facebook page ID original_image_url - Direct link to source competitor ad page_name - Advertiser's business name ad_body - Original ad copy text date_scraped - When the ad was discovered spun_prompts - AI-generated variation instructions asset_folder - Link to campaign's Google Drive folder source_folder - Link to original ads folder spun_folder - Link to generated variations folder direct_spun_image_link - Direct link to generated ad image Set Variables Configuration: Update these values in the "Set Variables" node: googleDriveFolderId - Your parent Google Drive folder ID changeRequest - Your brand-specific variation instructions spreadsheetId - Your Google Sheets database ID Apify API Setup: Create Apify account and obtain API key Replace <your-apify-api-key-here> with actual credentials Customize search terms in the JSON body for your target competitors Adjust scraping count (default: 20 ads per run) Business Use Cases PPC Agencies** - Automate competitive research and creative generation for client campaigns E-commerce Brands** - Monitor competitor advertising strategies and generate response campaigns Marketing Teams** - Scale creative production with AI-powered competitive intelligence Freelance Marketers** - Offer advanced competitive analysis and creative services to clients SaaS Companies** - Track competitor messaging and generate differentiated ad variations Agency Teams** - Replace manual creative research with automated competitive intelligence systems Revenue Potential This system revolutionizes PPC agency economics: 60-70% reduction** in manual creative work and competitive research time 3-5x faster** campaign launch times with ready-to-use creative assets $2,000-$5,000 service value** for comprehensive competitive intelligence and creative generation Scalable competitive advantage** through automated monitoring of competitor campaigns Premium positioning** offering AI-powered creative intelligence that competitors can't match manually Difficulty Level: Advanced Estimated Build Time: 2-3 hours Monthly Operating Cost: ~$100 (Apify + OpenAI + Google APIs) Watch My Complete Live Build Want to see me build this entire system from scratch? I walk through every component live - including the ad library integration, AI analysis setup, image generation pipeline, and all the debugging that goes into creating a production-ready competitive intelligence system. 🎥 See My Live Build Process: "Ad Library Scraper & AI Image Spinner System (N8N Build)" This comprehensive tutorial shows the real development process - including advanced AI prompting for image generation, competitive analysis strategies, and the organizational systems that make this scalable for agency use. Set Up Steps Initial Database Setup: Run the initialization flow once to create your Google Drive folder and Sheets database Copy the generated folder ID and spreadsheet ID into the "Set Variables" node Configure your brand-specific change request template for consistent output Apify Integration: Set up Apify account with Facebook Ad Library scraper access Configure API credentials and test with small ad batches Customize search parameters for your target competitors and industries AI Service Configuration: Connect OpenAI API for vision analysis and image generation Set up appropriate rate limiting to control processing costs Test the complete AI pipeline with sample competitor ads Google Services Setup: Configure Google Drive API credentials for automated folder creation Set up Google Sheets integration for campaign database management Test the complete asset organization and tracking workflow Campaign Customization: Define your brand guidelines and messaging requirements in the change request Set up variation templates for different campaign types and industries Configure batch processing limits based on your API usage requirements Production Optimization: Remove the limit node for full-scale competitive monitoring Set up automated scheduling for regular competitive intelligence gathering Monitor and optimize AI prompts based on generated creative quality Advanced Optimizations Scale the system with: Multi-Platform Scraping:** Extend to LinkedIn, Twitter, and Google Ads for comprehensive competitive intelligence Performance Tracking:** Integrate with ad platforms to track performance of generated variations Style Guide Automation:** Create industry-specific variation templates for consistent brand application A/B Testing Integration:** Automatically test generated variations against source ads for performance optimization CRM Integration:** Connect competitive intelligence data with sales and marketing systems Important Considerations API Rate Limits:** Built-in delays prevent service overload and ensure reliable operation Creative Quality:** System generates multiple variations to account for AI generation variability Legal Compliance:** Use generated variations as inspiration while respecting intellectual property rights Cost Management:** Monitor OpenAI image generation costs and adjust batch sizes accordingly Competitive Ethics:** Focus on learning from successful patterns rather than direct copying Why This System Works The competitive advantage lies in speed and scale: Minutes vs. Hours:** Generate campaign-ready creative variations in minutes instead of hours of manual work Systematic Analysis:** AI vision provides consistent, comprehensive analysis that humans might miss Organized Intelligence:** Structured asset management enables rapid campaign deployment and iteration Scalable Monitoring:** Automated competitive research that scales beyond manual capacity Quality Variations:** Multiple AI-generated options ensure high-quality creative output Check Out My Channel For more advanced automation systems and proven agency-building strategies that generate real revenue, explore my YouTube channel where I share the exact methodologies used to scale automation agencies to $72K+ monthly revenue.

This n8n workflow automates the process of parsing and extracting data from PDF invoices. With this workflow, accounts and finance people can realise huge time and cost savings in their busy schedules. Read the Blog: https://blog.n8n.io/how-to-extract-data-from-pdf-to-excel-spreadsheet-advance-parsing-with-n8n-io-and-llamaparse/ How it works This workflow will watch an email inbox for incoming invoices from suppliers It will download the attached PDFs and processing them through a third party service called LlamaParse. LlamaParse is specifically designed to handle and convert complex PDF data structures such as tables to markdown. Markdown is easily to process for LLM models and so the data extraction by our AI agent is more accurate and reliable. The workflow exports the extracted data from the AI agent to Google Sheets once the job complete. Requirements The criteria of the email trigger must be configured to capture emails with attachments. The gmail label "invoice synced" must be created before using this workflow. A LlamaIndex.ai account to use the LlamaParse service. An OpenAI account to use GPT for AI work. Google Sheets to save the output of the data extraction process although this can be replaced for whatever your needs. Customizing this workflow This workflow uses Gmail and Google Sheets but these can easily be swapped out for equivalent services such as Outlook and Excel. Not using Excel? Simple redirect the output of the AI agent to your accounting software of choice.

This n8n workflow allows you to generate AI images using Nano Banana PRO through a Telegram bot interface, with optional automatic publishing to social media platforms. Users interact with the workflow entirely via Telegram commands and forms. The workflow supports multiple image generation modes and can automatically enhance prompts, compress images, generate captions, and publish content to Facebook, Instagram, and X. This template is especially useful for product visuals, lifestyle scenes, and content creation workflows where manual image generation and posting would otherwise be repetitive. How it works A user sends a command to the Telegram bot (text-to-image, image-to-image, or multi-image fusion). The workflow collects the required inputs (text prompt, uploaded images, aspect ratio, quality). If enabled, an AI Agent enhances the user prompt before image generation. The workflow sends the request to Kie.ai, which runs the Nano Banana PRO image model. The workflow waits for the image generation task to complete and retrieves the result. The generated image is downloaded and sent back to the user via Telegram. Optionally, the image is compressed using TinyPNG. If social sharing is enabled: An AI Agent generates platform-optimized captions. The image and captions are published automatically to selected platforms (Facebook, Instagram, X) via Blotato. How to use Create a Telegram bot using @BotFather and add the bot token to the Telegram Trigger credentials. Configure the required API credentials (see Requirements). Activate the workflow in n8n. Send a command to your Telegram bot: /text_to_image /image_to_image /multi_image Follow the Telegram form prompts to generate and optionally publish images. Requirements The following services are required for the workflow to function: Telegram Bot** – user interaction Kie.ai API** – Nano Banana PRO image generation (Get access) Cloudinary** – image hosting for uploaded files (Create an account) OpenAI API** – prompt enhancement and caption generation Optional services: TinyPNG** – image compression (Get an API key) Blotato** – social media publishing (Connect accounts) Customising the workflow You can disable image compression by removing the TinyPNG nodes. Social media auto-publishing can be disabled by removing the Blotato nodes. Prompt enhancement behavior can be adjusted in the AI Agent system prompt. Additional platforms or posting logic can be added after the caption generation step. The workflow can be adapted to other AI image models by replacing the Kie.ai API calls. Notes This is a self-hosted n8n workflow. All API keys and credentials must be provided by the user. The workflow is modular and can be partially enabled depending on your use case.

Who is this for? Content creators, digital marketers, and social media managers who want to automate the creation of short-form videos for platforms like TikTok, YouTube Shorts, and Instagram Reels without extensive video editing skills. What problem does this workflow solve? Creating engaging short-form videos consistently is time-consuming and requires multiple tools and skills. This workflow automates the entire process from ideation to publishing, significantly reducing the manual effort needed while maintaining content quality. What this workflow does This all-in-one solution transforms ideas into fully produced short-form videos through a 5-step process: Generate video captions from ideas stored in a Google Sheet Create AI-generated images using Flux and the OpenAI API Convert images to videos using Kling's API Add voice-overs to your content with Eleven Labs Complete the video production with Creatomate by adding templates, transitions, and combining all elements The workflow handles everything from sourcing content ideas to rendering the final video, and even notifies you on Discord when videos are ready. Setup (Est. time: 20-30 minutes) Before getting started, you'll need: n8n installation (tested on version 1.81.4) OpenAI API Key (free trial credits available) PiAPI (free trial credits available) Eleven Labs (free account) Creatomate API Key (free trial credits available) Google Sheets API enabled in Google Cloud Console Google Drive API enabled in Google Cloud Console OAuth 2.0 Client ID and Client Secret from your Google Cloud Console Credentials How to customize this workflow to your needs Adjust the Google Sheet structure to include additional data like video length, duration, style, etc. Modify the prompt templates for each AI service to match your brand voice and content style Update the Creatomate template to reflect your visual branding Configure notification preferences in Discord to manage your workflow This workflow combines multiple AI technologies to create a seamless content production pipeline, saving you hours of work per video and allowing you to focus on strategy rather than production.

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 frameworks. The system schedules regular monitoring, fetches consolidated ESG data from operational systems, generates S&D (sustainability and disclosure) submissions, validates compliance through dual AI agents (Compliance Analyzer ensures regulatory adherence, Decision Coordination orchestrates specialized sub-agents for aggregate analysis, traceability monitoring, summary generation, and governance reporting), checks star ratings for data quality, routes findings by compliance status (critical/routine), and produces standardized reports with traceability records. Organizations achieve 90% reduction in reporting cycle time, ensure multi-framework compliance, eliminate manual data aggregation errors, and maintain complete audit trails for regulatory scrutiny. Setup Steps Connect Schedule Trigger for monitoring frequency Configure ESG data sources with API credentials Add AI model API keys to Compliance Analyzer and Decision Coordination Agent nodes Define reporting frameworks and compliance requirements in agent prompts Set quality rating thresholds for data completeness and materiality scoring parameters Configure alert mechanisms for critical compliance gaps requiring immediate remediation Prerequisites ESG data management system access, AI service accounts Use Cases Carbon emissions tracking and reporting, supply chain sustainability monitoring Customization Modify agent prompts for industry-specific materiality topics Benefits Reduces reporting cycle time by 90%, ensures multi-framework compliance simultaneously

This workflow with AI agent is designed to navigate through the page to retrieve specific type of information (in this example: social media profile links). The agent is equipped with 2 tools: text tool:** to retrieve all the text from the page, URLs tool:** to extract all possible links from the page. 💡 You can edit prompt and JSON schema connected to the agent in order to return other data then social media profile links. 👉 This workflow uses Supabase as storage (input/output). Feel free to change it to any other database of your choice. 🎬 See this workflow in action in my YouTube video. How it works? The workflow uses the input URL (website) as a starting point to retrieve the data (e.g. example.com). Using the "URLs tool", the agent is able to retrieve all links from the page and navigate to them. For example, if you want to retrieve contact information, agent will try to find a subpage that might contain this information (e.g. example.com/contact) and extract the information using the text tool. Set up steps Connect database with input data (website addresses) or pin sample data to trigger node. Configure the crawling agent to retrieve the desired data (e.g. modify prompt and/or parsing schema). Set credentials for OpenAI. Optionally: split agent tools to separate workflows. If you like this workflow, please subscribe to my YouTube channel and/or my newsletter.

What it does This n8n workflow creates a cutting-edge, multi-modal AI Memory Assistant designed to capture, understand, and intelligently recall your personal or business information from diverse sources. It automatically processes voice notes, images, documents (like PDFs), and text messages sent via Telegram. Leveraging GPT-4o for advanced AI processing (including visual analysis, document parsing, transcription, and semantic understanding) and MongoDB Atlas Vector Search for persistent and lightning-fast recall, this assistant acts as an external brain. Furthermore, it integrates with Gmail, allowing the AI to send and search emails as part of its memory and response capabilities. This end-to-end solution blurprint provides a powerful starting point for personal knowledge management and intelligent automation. How it works 1. Multi-Modal Input Ingestion 🗣️📸📄💬 Your memories begin when you send a voice note, an image, a document (e.g., PDF), or a text message to your Telegram bot. The workflow immediately identifies the input type. 2. Advanced AI Content Processing 🧠✨ Each input type undergoes specialized AI processing by GPT-4o: Voice notes are transcribed into text using OpenAI Whisper. Images are visually analyzed by GPT-4o Vision, generating detailed textual descriptions. Documents (PDFs) are processed for text extraction, leveraging GPT-4o for robust parsing and understanding of content and structure. Unsupported document types are gracefully handled with a user notification. Text messages are directly forwarded for further processing. This phase transforms all disparate input formats into a unified, rich textual representation. 3. Intelligent Memory Chunking & Vectorization ✂️🏷️➡️🔢 The processed content (transcriptions, image descriptions, extracted document text, or direct text) is then fed back into GPT-4o. The AI intelligently chunks the information into smaller, semantically coherent pieces, extracts relevant keywords and tags, and generates concise summaries. Each of these enhanced memory chunks is then converted into a high-dimensional vector embedding using OpenAI Embeddings. 4. Persistent Storage & Recall (MongoDB Atlas Vector Search) 💾🔍 These vector embeddings, along with their original content, metadata, and tags, are stored in your MongoDB Atlas cluster, which is configured with Atlas Vector Search. This allows for highly efficient and semantically relevant retrieval of memories based on user queries, forming the core of your "smart recall" system. 5. AI Agent & External Tools (Gmail Integration) 🤖🛠️ When you ask a question, the AI Agent (powered by GPT-4o) acts as the central intelligence. It uses the MongoDB Chat Memory to maintain conversational context and, crucially, queries the MongoDB Atlas Vector Search store to retrieve relevant past memories. The agent also has access to Gmail tools, enabling it to send emails on your behalf or search your past emails to find information or context that might not be in your personal memory store. 6. Smart Response Generation & Delivery 💬➡️📱 Finally, using the retrieved context from MongoDB and the conversational history, GPT-4o synthesizes a concise, accurate, and contextually aware answer. This response is then delivered back to you via your Telegram bot. How to set it up (~20 Minutes) Getting this powerful workflow running requires a few key configurations and external service dependencies. Telegram Bot Setup: Use BotFather in Telegram to create a new bot and obtain its API Token. In your n8n instance, add a new Telegram API credential. Give it a clear name (e.g., "My AI Memory Bot") and paste your API Token. OpenAI API Key Setup: Log in to your OpenAI account and generate a new API key. Within n8n, create a new OpenAI API credential. Name it appropriately (e.g., "My OpenAI Key for GPT-4o") and paste your API key. This credential will be used by the OpenAI Chat Model (GPT-4o for processing, chunking, and RAG), Analyze Image, and Transcribe Audio nodes. MongoDB Atlas Setup: If you don't have one, create a free-tier or paid cluster on MongoDB Atlas. Create a database and a collection within your cluster to store your memory chunks and their vector embeddings. Crucially, configure an Atlas Vector Search index on your chosen collection. This index will be on the field containing your embeddings (e.g., embedding field, type knnVector). Refer to MongoDB Atlas documentation for detailed instructions on creating vector search indexes. In n8n, add a new MongoDB credential. Provide your MongoDB Atlas connection string (ensure it includes your username, password, and database name), and give it a clear name (e.g., "My Atlas DB"). This credential will be used by the MongoDB Chat Memory node and for any custom HTTP requests you might use for Atlas Vector Search insertion/querying. Gmail Account Setup: Go to Google Cloud Console, enable the Gmail API for your project, and configure your OAuth consent screen. Create an OAuth 2.0 Client ID for a Desktop app (or Web application, depending on your n8n setup and redirect URI). Download the JSON credentials. In n8n, add a new Gmail OAuth2 API credential. Follow the n8n instructions to configure it using your Google Client ID and Client Secret, and authenticate with your Gmail account, ensuring it has sufficient permissions to send and search emails. External API Services: If your Extract from File node relies on an external service for robust PDF/DocX text extraction, ensure you have an API key and the service is operational. The current flow uses ConvertAPI. Add the necessary credential (e.g., ConvertAPI) in n8n. How you could enhance it ✨ This workflow offers numerous avenues for advanced customization and expansion: Expanded Document Type Support: Enhance the "Document Processing" section to handle a wider range of document types beyond just PDFs (e.g., .docx, .xlsx, .pptx, markdown, CSV) by integrating additional conversion APIs or specialized parsing libraries (e.g., using a custom code node or dedicated third-party services like Apache Tika, Unstructured.io). Fine-tuned Memory Chunks & Metadata: Implement more sophisticated chunking strategies for very long documents, perhaps based on semantic breaks or document structure (headings, sections), to improve recall accuracy. Add more metadata fields (e.g., original author, document date, custom categories) to your MongoDB entries for richer filtering and context. Advanced AI Prompting: Allow users to dynamically set parameters for their memory inputs (e.g., "This is a high-priority meeting note," "This image contains sensitive information") which can influence how GPT-4o processes, tags, and stores the memory, or how it's retrieved later. n8n Tool Expansion for Proactive Actions: Significantly expand the AI Agent's capabilities by providing it with access to a wider range of n8n tools, moving beyond just information retrieval and email External Data Source Integration (APIs): Expand the AI Agent's tools to query other external APIs (e.g., weather, stock prices, news, CRM systems) so it can provide real-time information relevant to your memories. Getting Assistance & More Resources Need assistance setting this up, adapting it to a unique use case, or exploring more advanced customizations? Don't hesitate to reach out! You can contact me directly at nanabrownsnr@gmail.com. Also, feel free to check out my Youtube Channel where I discuss other n8n templates, as well as Innovation and automation solutions.

Enhance Security Operations with the Venafi Slack CertBot! Venafi Presentation - Watch Video Our Venafi Slack CertBot is strategically designed to facilitate immediate security operations directly from Slack. This tool allows end users to request Certificate Signing Requests that are automatically approved or passed to the Secops team for manual approval depending on the Virustotal analysis of the requested domain. Not only does this help centralize requests, but it helps an organization maintain the security certifications by allowing automated processes to log and analyze requests in real time. Workflow Highlights: Interactive Modals**: Utilizes Slack modals to gather user inputs for scan configurations and report generation, providing a user-friendly interface for complex operations. Dynamic Workflow Execution**: Integrates seamlessly with Venafi to execute CSR generation and if any issues are found, AI can generate a custom report that is then passed to a slack teams channel for manual approval with the press of a single button. Operational Flow: Parse Webhook Data**: Captures and parses incoming data from Slack to understand user commands accurately. Execute Actions**: Depending on the user's selection, the workflow triggers other actions within the flow like automatic Virustotal Scanning. Respond to Slack**: Ensures that every interaction is acknowledged, maintaining a smooth user experience by managing modal popups and sending appropriate responses. Setup Instructions: Verify that Slack and Qualys API integrations are correctly configured for seamless interaction. Customize the modal interfaces to align with your organization's operational protocols and security policies. Test the workflow to ensure that it responds accurately to Slack commands and that the integration with Qualys is functioning as expected. Need Assistance? Explore Venafi's Documentation or get help from the n8n Community for more detailed guidance on setup and customization. Deploy this bot within your Slack environment to significantly enhance the efficiency and responsiveness of your security operations, enabling proactive management of CSR's.

The Ultimate Gmail Analysis and Visual Summarization Template This workflow showcases various useful Gmail search, filter, and AI categorization operations and generates a knowledge graph for your mail using the InfraNodus GraphRAG API, which you can use to reveal the main topics and blind spots in your correspondence. InfraNodus will then target those blind spots to generate interesting research questions for you and send the topical summary and insights via Telegram. You can also click the generated graph and explore the blind spots inside InfraNodus using the interactive visual interface: What is it useful for? Learn about advanced Gmail search, filtering, and AI categorization functions** that can be useful for your other workflows Analyze all your personal messages for the last week to get an overview of the main topics Analyze all your Sent messages to find recurrent topics and gaps and generate ideas based. on those gaps Generate ideas based on specific message filters (Personal, Promos, from a specific person, AI-defined criteria, e.g. urgency) Get an overview of an interaction with a specific person / company Get an overview of your notes Generate new ideas based on your correspondence on a certain topic (e.g. "business") Learn about various n8n nodes useful for email processing, filtering, and data conversion Never miss important topics, use AI filter to get notified of the urgent and important emails via Telegram How it works This template can be triggered in multiple ways: automatically in regular intervals (daily, weekly), manually in n8n, or via a private password-protected URL form where you can specify your search and filtering criteria When you start the workflow, you specify: your Gmail search filters (can be combined, e.g. after:2025/06/01 label:personal business to search for all emails received after 1 June 2025, filed in the Personal category containing the word "business". (optional, if empty, will retrieve all the emails or limited to the number you set in the Gmail node) Additional Gmail labels (e.g. SENT or CATEGORY_PERSONAL or your custom categories). Use the search filter for faster processing (e.g. prefer label:person to CATEGORY_PERSONAL, but labels can be useful for additional filtering for your search queries) (optional, if empty, will retrieve all the emails) AI filtering criteria** — set an additional classification criteria used to filter out the emails, e.g. "Only the urgent, personal emails" — in that case, AI classification node working with Google's Gemini AI will be activated and will only pass through the email based on the criteria you specify. Whether you want to build a text graph or a social graph — see the workflow for detailed explanation of each Use snippets of emails (default) or full text (for thorough analysis). We prefer snippets as it's faster and your graph context doesn't get biased towards longer emails this way. Once you set up your search parameters in Steps 1 and 2, the template will follow the following steps: Step 3 — retrieve Google emails that satisfy your filter criteria. Filter them by additional labels provided if applicable. Step 4 - if the user chooses to analyze full text, use additional Gmail node that retrieves the full text of the email message Step 5 — if AI filter rule is provided, use the AI Classifier node with Google Gemini Pro 2.5 model to classify the email based on the rule provided. Bypass if empty. Step 6 - format the text or the email snippets to add the sender meta-data and category and to prepare to submit to InfraNodus Step 7 - submit the data to the InfraNodus HTTP graphAndEntries endpoint and generate a knowledge graph Step 8 - access this graph via the graphAndAdvice endpoint) and generate a topical summary based on the GraphRAG representation and insight questions bridging the gaps identified. Send the results via a Telegram bot. We use Telegram, because it takes only 30 seconds to set up a bot with an API, unlike Discord or Slack, which is long and cumbersome to set up. You can also attach a Gmail send node and generate an email instead. How to use You need an InfraNodus GraphRAG API account and key to use this workflow. Create an InfraNodus account Get the API key at https://infranodus.com/api-access and create a Bearer authorization key for the InfraNodus HTTP nodes. Add this Authorization code in Steps 7 and 8 of the workflow. Come up with the name of the graph and change it in the HTTP InfraNodus nodes in the steps 7 and 8 and also in the Telegram nodes that send a link to the graph. For additional settings you can use in the HTTP InfraNodus nodes, see the InfraNodus access points page. Authorize your Gmail account for Steps 2 and 3 Gmail nodes. The easiest way to set it up is to open a free Google Console API account and to create an OAuth access point for n8n. You can then reuse it with other Google services like Google Sheets, Drive, etc. So it's a useful thing to have in general. Set up the Gemini AI API key using the instructions in the Step 5 Gemini AI node. Set up the Telegram node bot for the Step 8. It takes only 30 seconds: just go to @botfather and type in /newbot and you'll have an API key ready. To get the conversation ID, follow the n8n / Telegram instructions in the node itself. Once everything is ready, try to run the default automated workflow to test if everything works well, then use the Form for playing around with specific filters that you may find useful. Requirements An InfraNodus account and API key An Google Cloud API OAuth client and key for Gmail access A Gemini AI API key A Telegram bot API key FAQ 1. What's the best search query to use? I personally like starting with analyzing the messages Gmail tags as "personal" from the last week (using the after:2025/05/28 label:personal search query) using the social graph settings. It helps me see who I interacted with, what it was about, and gives me a good bird's eye view into my last week's interactions, helping me see if I didn't miss anything. I also find it useful to analyze the sent messages (using the after:2025/05/28 label:sent search filter or SENT category filter) as it helps me see what I was writing about recently and understand some recurrent topics and gaps in my interactions. Finally, I also like to analyze notes (label:notes) or specific correspondence (from:your_friend@gmail.com) to get an overview and find gaps in the conversations. 2. Why use InfraNodus and not an AI summarization module? You probably get a lot of spam, so your AI will get overwhelmed with the content that's not really useful. The InfraNodus graph helps you see the important patterns and discover what's missing by focusing on the gaps. You can use the interactive graph to quickly remove the stuff you don't need and to focus on the most relevant topics and conversations. Customizing this workflow You can connect a Gmail node instead of the Telegram one if you prefer to receive notifications directly by email. I don't like using Slack and Discord because their bots are too difficult to set up and take too long. Check out the complete setup guide for this workflow at https://support.noduslabs.com/hc/en-us/articles/20394884531996-Build-a-Knowledge-Graph-and-Extract-Insights-from-Gmail-Emails-with-n8n-and-InfraNodus with a video tutorial coming soon and the links to other n8n workflows. Check our other n8n workflows at https://n8n.io/creators/infranodus/ for useful content gap analysis, expert panel, and marketing, and research workflows that utilize GraphRAG for better AI generation. Finally, check out https://infranodus.com to learn more about our network analysis technology used to build knowledge graphs from text.