Workflow Templates

What this template does Sends you an email (via Gmail) whenever any workflow that references this one fails. The message includes the workflow name/ID, execution URL, last node executed, and the error message. Why it’s useful Centralizes error notifications so you notice failures immediately and can jump straight to the failed execution. Prerequisites A Gmail account connected through n8n’s Gmail node credentials. This workflow set as the Error Workflow inside the workflows you want to monitor. How it works Error Trigger starts this workflow whenever a linked workflow fails. Gmail (Send → Message) composes and sends an email using details from the Error Trigger. Notes Error workflows don’t need to be activated to work. You can’t test them by running manually—errors must occur in an automatically run workflow (cron, webhook, etc.).

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Overview This is a Telegram Bot capable of receiving information from the user in the form of text messages, voice messages, images or documents (e.g., presentations, PDFs, HTML pages), and publishing posts to the user's social platforms. The bot always sends the user a draft of the post for verification before publishing it. The bot saves relevant information to its long-term memory (vector store), so you don't need to repeat it in every interaction (e.g., who you are, your company, product, etc.). This template supports creating posts in LinkedIn and X. Setup Requirements To use this template your will need: Google's AI Studio API key. Get one here: https://aistudio.google.com/app/apikey Telegram Bot API key. You receive one when you register a new Telegram Bot via @BotFather bot in Telegram. LinkedIn API key. Follow the instructions here to create one: https://docs.n8n.io/integrations/builtin/credentials/linkedin/ X API key. Follow the instructions here to create one: https://docs.n8n.io/integrations/builtin/credentials/twitter/ Step-by-step instruction Import this template Create a new Telegram Bot or get an API key for existing one. Configre Telegram nodes with Telegram API key. Obtain a Google's AI Studio API key. Set it in "Describe document", "Describe audio" and "Google Gemini Chat Model". Create an API key for LinkedIn. Create an API key for X. Set our LinkedIn key in "Create post in LinkedIn" nodes. Set your X key in "Create X (Twitter) post" node. Other Bright-colored notes in the template highlight information that needs to be set before launching the template.

📄Description This automation workflow enables users to upload files via an N8N form, automatically analyzes the content using Google Gemini agents, and delivers the analyzed results via email along with a chatbot link. The system leverages Llama Cloud API, Google Gemini LLM, Pinecone vector database, and Gmail to provide a seamless, multilingual content analysis experience. ✅ Prerequisites Before setting up this workflow, ensure the following are in place: An active N8N instance. Access to Llama Cloud API. Google Gemini LLM API keys (for Translator & Analyzer agents). A Pinecone account with an active index. A Gmail account with API access configured. Basic knowledge of N8N workflow setup. ⚙️ Setup Instructions Deploy the N8N Form Create a public-facing form using N8N. Configure it to accept: File uploads. User email input. File Preprocessing Store the uploaded files temporarily. Organize and preprocess them as needed. Content Extraction using Llama Cloud API Feed the files into the Llama Cloud API. Extract and parse the content for further processing. Translation (if required) Use a Translator Agent (Google Gemini). Check if the content is in English. If not, translate it. Content Analysis Forward the (translated) content to the Analyzer Agent (Google Gemini). Perform deep analysis to extract insights. Vector Storage in Pinecone Store both: The parsed and translated content. The analyzed content. Use Pinecone to store the content as embeddings for chatbot use. User Notification via Gmail Send the analyzed content and chatbot link to the user’s provided email using Gmail API. 🧩 Customization Guidance To add more languages: Update the translation logic to include additional language support. To modify analysis depth: Adjust the prompts sent to the Gemini Analyzer Agent. To change the chatbot behavior: Retrain or reconfigure the chatbot to utilize the new Pinecone index contextually. 🔁 Workflow Summary User uploads files and email via N8N form. Files are parsed using Llama Cloud API. Content is translated (if needed) using Gemini Translator Agent. Translated content is analyzed by the Gemini Analyzer Agent. Parsed and analyzed data is stored in Pinecone. User receives email with analyzed results and a chatbot link.

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.

Stock Analysis Agent (Hebrew, RTL, GPT-4o) Overview Get comprehensive stock analysis with this AI-powered workflow that provides actionable insights for your investment decisions. On a weekly basis, this workflow: Analyzes stock data from multiple sources (Chart-img, Twelve Data API, Alphavantage) Performs technical analysis using advanced indicators (RSI, MACD, Bollinger Bands, Resistance and Support Levels) Scans financial news from Alpha Vantage to capture market sentiment Uses OpenAI's GPT-4o to identify patterns, trends, and trading opportunities Generates a fully styled, responsive HTML email (with proper RTL layout) in Hebrew Sends detailed recommendations directly to your inbox Perfect for investors, traders, and financial analysts who want data-driven stock insights - combining technical indicators with news sentiment for more informed decisions. Setup Instructions Estimated setup time: 15 minutes Required credentials: OpenAI API Key Chart-img API Key (free tier) Twelve Data API Key (free tier) Alpha Vantage API Key (free tier) SMTP credentials (for email delivery) Steps: Import this template into your n8n instance. Add your API keys under credentials. Configure the SMTP Email node with: Host (e.g., smtp.gmail.com), Port (465 or 587), Username (your email), Password (app-specific password or login). Activate the workflow. Fill in the Form. Enjoy! (Check your Spam mailbox) Customization Tips Modify the analysis timeframe (daily, weekly, monthly) Add integrations with trading platforms or portfolio management tools Adjust the recommendation criteria based on your risk tolerance Why Use This? This is more than just stock data. It's an intelligent financial assistant that combines technical analysis with market sentiment to provide actionable recommendations - automatically. Important Note: This report is being generated automatically and does not constitute an investment recommendation. Please consult a licensed investment advisor before making any investment decisions.

Workflow Documentation: HR Job Posting and Evaluation with AI Detailed Description The HR Job Posting and Evaluation with AI workflow is designed to streamline and enhance recruitment for technical roles, such as Automation Specialists. By automating key stages in the hiring process, this workflow ensures a seamless experience for both candidates and HR teams. From collecting applications to evaluating candidates using AI and scheduling interviews, this workflow provides an end-to-end solution for recruitment challenges. Who is this for? This workflow is ideal for: HR Professionals**: Managing multiple job postings and candidates efficiently. Recruitment Teams**: Handling large volumes of applications for technical positions. Hiring Managers**: Ensuring structured and objective candidate evaluations. What problem does this workflow solve? Time-Consuming Processes**: Automates repetitive tasks like data entry, CV management, and scheduling. Fair Candidate Evaluation**: Leverages AI to provide objective insights based on resumes and job descriptions. Streamlined Communication**: Ensures timely and personalized candidate interactions, improving their experience. What this workflow does This workflow automates the following steps: Form Submission: Collects candidate information via a structured application form. Data Storage: Stores applicant details in Airtable for centralized tracking. CV Management: Automatically uploads resumes to Google Drive for easy access and organization. AI-Powered Candidate Evaluation: Scores candidates based on their resumes and job descriptions using OpenAI, providing actionable insights. Interview Scheduling: Automates scheduling based on candidate and interviewer availability. Communication: Sends customized emails to candidates for interview invitations and feedback. Setup Prerequisites To use this workflow, you’ll need: n8n Account**: To create and run the workflow. Airtable Account**: For managing applicant data. Google Drive Account**: For storing candidate CVs. OpenAI API Key**: For AI-powered candidate scoring. SMTP Email Account**: For sending candidate communications. Setup Process Airtable Configuration: Create a base in Airtable with tables for Applicants and Job Positions. Google Drive Setup: Create a folder for CV storage and ensure you have write permissions. Integrate Airtable in n8n: Use the Airtable API key to connect Airtable to n8n. Integrate Google Drive in n8n: Authorize Google Drive to enable CV storage automation. OpenAI Integration: Add your OpenAI API key to n8n for candidate scoring. Email Configuration: Set up your SMTP email account in n8n for sending notifications and invitations. How to customize this workflow Tailor the workflow to fit your unique recruitment needs: Edit Job Descriptions: Adjust the form parameters to match the specific role and qualifications. Refine AI Evaluation Criteria: Modify OpenAI prompts to reflect the skills and competencies for the desired position. Personalize Email Templates: Update email content to match your organization’s tone and branding. Add New Features: Incorporate additional steps like feedback collection or integration with other HR tools. Conclusion The HR Job Posting and Evaluation with AI workflow simplifies and automates the recruitment process, enabling HR teams to focus on engaging with candidates rather than handling administrative tasks. With its powerful integrations and customization options, this workflow helps organizations hire efficiently while improving the candidate experience.

In this guide, we’ll walk you through setting up an AI-driven workflow that automatically fetches daily sales, food waste, and customer feedback data from Google Sheets, generates actionable insights using AI, merges them into a comprehensive report, and sends it as an email draft. Ready to automate your restaurant’s daily insights? Let’s dive in! What’s the Goal? Automatically retrieve daily sales data, food waste records, and customer feedback from Google Sheets. Use AI to analyze data and generate insights, including top performers, waste reduction recommendations, and feedback summaries. Merge the insights into a structured daily report. Send the report as an AI-generated email draft for review or sending. Enable scheduled automation for daily insights delivery. By the end, you’ll have a self-running system that delivers daily restaurant insights effortlessly. Why Does It Matter? Manual data analysis and reporting are time-consuming and error-prone. Here’s why this workflow is a game-changer: Zero Human Error**: AI ensures accurate and consistent insights. Time-Saving Automation**: Instantly process data and draft reports, boosting efficiency. Scheduled Delivery**: Receive insights daily without manual effort. Actionable Insights**: Empower your team with data-driven decisions. Think of it as your tireless data analyst that keeps your restaurant informed. How It Works Here’s the step-by-step magic behind the automation: Step 1: Trigger the Workflow Initiate the workflow daily using the Daily Report Scheduler node (e.g., every day at a set time). Step 2: Fetch Daily Sales Data Retrieve sales data from the Google Sheet using the Fetch Daily Sales Data node. Step 3: Fetch Daily Food Waste Records Retrieve food waste data from the Google Sheet using the Fetch Daily Food Waste Records node. Step 4: Fetch Customer Feedback Retrieve customer feedback from the Google Sheet using the Fetch Customer Feedback node. Step 5: Normalize Sales Records Process and standardize sales data for AI analysis. Step 6: Normalize Waste Data Process and standardize food waste data for AI analysis. Step 7: Normalize Feedback Data Process and standardize customer feedback data for AI analysis. Step 8: AI Sales Insights Generator Use AI (e.g., Google Chat Model) to analyze sales data, identify top performers, and provide recommendations. Step 9: AI Waste Reduction Insights Generator Use AI to analyze waste data and suggest reduction strategies. Step 10: AI Feedback Summary Use AI to summarize customer feedback and identify common themes. Step 11: Format Sales Output Structure the sales insights into a readable format. Step 12: Format Waste Output Structure the waste reduction insights into a readable format. Step 13: Format Feedback AI Output Structure the feedback summary into a readable format. Step 14: Merge & Create Email Combine all formatted insights into a single daily report email draft. Step 15: Prepare Email Content Finalize the email content for sending. Step 16: Send Daily Report Send the AI-generated daily summary email via Gmail. How to Use the Workflow? Importing a workflow in n8n is a straightforward process that allows you to use pre-built workflows to save time. Below is a step-by-step guide to importing the Restaurant Daily Insights Automation workflow in n8n. Steps to Import a Workflow in n8n Obtain the Workflow JSON Source the Workflow: Workflows are shared as JSON files or code snippets, e.g., from the n8n community, a colleague, or exported from another n8n instance. Format: Ensure you have the workflow in JSON format, either as a file (e.g., workflow.json) or copied text. Access the n8n Workflow Editor Log in to n8n (via n8n Cloud or self-hosted instance). Navigate to the Workflows tab in the n8n dashboard. Click Add Workflow to create a blank workflow. Import the Workflow Option 1: Import via JSON Code (Clipboard): Click the three dots (⋯) in the top-right corner to open the menu. Select Import from Clipboard. Paste the JSON code into the text box. Click Import to load the workflow. Option 2: Import via JSON File: Click the three dots (⋯) in the top-right corner. Select Import from File. Choose the .json file from your computer. Click Open to import. Setup Notes Google Sheet Columns**: Sales Data Sheet: Date, Item Name, Quantity Sold, Revenue, Cost, Profit. Food Waste Records Sheet: Date, Item Name, Waste Quantity, Reason, Timestamp. Customer Feedback Sheet: Date, Customer Name, Feedback Text, Rating, Timestamp. Google Sheets Credentials**: Configure OAuth2 settings in the fetch nodes with your Google Sheet ID and credentials. AI Models**: Set up the AI nodes (e.g., Google Chat Model) with appropriate API credentials. Gmail Integration**: Authorize the Send Daily Report node with Gmail API credentials to send emails. Scheduling**: Adjust the Daily Report Scheduler node to your preferred time (e.g., daily at 9 AM).

Automated Instagram posting with Facebook Graph API and content routing Who is this for? This workflow is perfect for social media managers, content creators, digital marketing agencies, and small business owners who need to automate their Instagram posting process. Whether you're managing multiple client accounts or maintaining consistent personal branding, this template streamlines your social media operations. What problem is this workflow solving? Manual Instagram posting is time-inconsistent and prone to inconsistency. Content creators struggle with: Remembering to post at optimal times Managing different content types (images, videos, reels, stories, carousels) Maintaining posting schedules across multiple accounts Ensuring content is properly formatted for each post type This workflow eliminates manual posting, reduces human error, and ensures consistent content delivery across all Instagram format types. What this workflow does The workflow automatically publishes content to Instagram using Facebook's Graph API with intelligent routing based on content type. It handles image posts, video stories, Instagram reels, carousel posts, and story content. The system creates media containers, monitors processing status, and publishes content when ready. It supports both HTTP requests and Facebook SDK methods for maximum reliability and includes automatic retry mechanisms for failed uploads. Setup Connect Instagram Business Account to a Facebook Page Configure Facebook Graph API credentials with instagram_basic permissions Update the "Configure Post Settings" node with your Instagram Business Account ID Set media URLs and captions in the configuration section Choose post type (http_image, fb_reel, http_carousel, etc.) Test workflow with sample content before going live How to customize this workflow to your needs Modify the post_type variable to control content routing: Use http_* prefixes for direct API calls Use fb_* prefixes for Facebook SDK calls Use both HTTP and Facebook SDK nodes as fallback mechanisms** - if one method fails, automatically try the other for maximum success rate Add scheduling by connecting a Cron node trigger Integrate with Google Sheets or Airtable for content management Connect webhook triggers for automated posting from external systems Customize wait times based on your content file sizes Set up error handling** to switch between HTTP and Facebook SDK methods when API limits are reached

How it works • RSS feed monitors your blog for new posts automatically • Extracts and cleans full article content from the blog post • AI Chain (GPT-4o) transforms content into 5 platform-optimized formats (LinkedIn, Twitter, Instagram, Email, Video) • Unsplash API suggests relevant images for each content piece • Slack notification alerts content team with preview of all formats • Airtable logs everything for content calendar tracking • Optional auto-posting to LinkedIn and Twitter (disabled by default) • Structured output parser ensures all 5 formats are generated correctly with proper character limits Set up steps • Time to set up: 10-15 minutes • Replace RSS feed URL with your blog's feed (common formats: /feed, /rss, /feed.xml) • Get Slack channel ID for content team notifications • Create Airtable base with 14 columns (Original_Title, Original_URL, Published_Date, LinkedIn_Post, LinkedIn_Hashtags, Twitter_Thread, Twitter_Hashtags, Instagram_Caption, Instagram_Hashtags, Email_Subject, Email_Body, Video_Script, Suggested_Images, Status) • Add credentials: OpenAI (GPT-4o), Unsplash API, Slack OAuth2, Airtable Token • Replace placeholder IDs in Slack and Airtable nodes • Optional: Enable LinkedIn/Twitter auto-posting nodes and add OAuth2 credentials What you'll need • OpenAI API - GPT-4o access for AI content repurposing • Unsplash API - Free tier available for image suggestions • Slack - Standard workspace for team notifications • Airtable - Free plan works for content tracking • Blog with RSS feed - WordPress, Ghost, Medium, Webflow all supported • LinkedIn/Twitter OAuth2 (optional) - For auto-posting feature Who this is for Content creators, marketing teams, and agencies that want to maximize content ROI by automatically repurposing blog posts into platform-specific content. Perfect for B2B companies publishing regular blog content who need consistent multi-platform presence without manual reformatting.

🧩 What This Workflow Does This workflow automates the process of identifying and enriching decision-maker contacts from a list of companies. By integrating with Apollo's APIs and Google Sheets, it streamlines lead generation, ensures data accuracy through human verification, and maintains an organized leads database. 📚 Use Case Ideal for sales and marketing teams aiming to: Automate the discovery of key decision-makers (e.g., CEOs, CTOs). Enrich contact information with LinkedIn profiles, emails, and phone numbers. Maintain an up-to-date leads database with minimal manual intervention. Receive weekly summaries of newly verified leads. 🧪 Setup 1. Google Sheets Preparation: Use the following pre-configured Google Sheet: Company Decision Maker Discovery Sheet. This spreadsheet includes the necessary tabs and columns: Companies, Contacts, and Contacts (Verified). It also contains a custom onEdit Apps Script function that automatically updates the Status column to Pending whenever the Domain field is modified. To review or modify the script, navigate to Extensions > Apps Script within the Google Sheet. 2. Credentials Setup: Configure the following credentials in your n8n instance: Google Sheets: To read from and write to the spreadsheet. Slack: To send verification prompts and weekly reports. Apollo: To access the Organization Search, Organization Enrichment, People Search, and Bulk People Enrichment APIs. LLM Service (e.g., OpenAI): To generate company summaries and determine departments based on job titles. 3. Workflow Configuration: Import the workflow into your n8n instance. Update the nodes to reference the correct Google Sheet and Slack channel. Ensure that the Apollo and LLM nodes have the appropriate API keys and configurations. 4. Testing the Workflow: Add a new company entry in the Companies tab of the Google Sheet. Verify that the workflow triggers automatically, processes the data, and updates the Contacts and Contacts (Verified) tabs accordingly. Check Slack for any verification prompts and confirm that weekly reports are sent as scheduled.

//ASMR AI Workflow Who is this for? Content Creators, YouTube Automation Enthusiasts, and AI Hobbyists looking to autonomously generate and publish unique, satisfying ASMR-style YouTube Shorts without manual effort. What problem does this solve? This workflow solves the creative bottleneck and time-consuming nature of daily content creation. It fully automates the entire production pipeline, from brainstorming trendy ideas to publishing a finished video, turning your n8n instance into a 24/7 content factory. What this workflow does 1. Two-Stage AI Ideation & Planning: Uses an initial AI agent to brainstorm a short, viral ASMR concept based on current trends. A second "Planning" AI agent then takes this concept and expands it into a detailed, structured production plan, complete with a viral-optimized caption, hashtags, and descriptions for the environment and sound. 2. Multi-Modal Asset Generation: Video:* Feeds detailed scene prompts to the *ByteDance Seedance** text-to-video model (via Wavespeed AI) to generate high-quality video clips. Audio:* Simultaneously calls the *Fal AI** text-to-audio model to create custom, soothing ASMR sound effects that match the video's theme. Assembly:** Automatically sequences the video clips and sound into a single, cohesive final video file using an FFMPEG API call. 3. Closed-Loop Publishing & Logging: Logging:** Initially logs the new idea to a Google Sheet with a status of "In Progress". Publishing:** Automatically uploads the final, assembled video directly to your YouTube channel, setting the title and description from the AI's plan. Updating:** Finds the original row in the Google Sheet and updates its status to "Done", adding a direct link to the newly published YouTube video. Notifications:** Sends real-time alerts to Telegram and/or Gmail with the video title and link, confirming the successful publication. Setup Credentials: You will need to create credentials in your n8n instance for the following services: OpenAI API Wavespeed AI API (for Seedance) Fal AI API Google OAuth Credential (enable YouTube Data API v3 and Google Sheets API in your Google Cloud Project) Telegram Bot Credential (Optional) Gmail OAuth Credential Configuration: This is an advanced workflow. The initial setup should take approximately 15-20 minutes. Google Sheet:* Create a Google Sheet with these columns: idea, caption, production_status, youtube_url. Add the *Sheet ID** to the Google Sheets nodes in the workflow. Node Configuration:** In the Telegram Notification node, enter your own Chat ID. In the Gmail Notification node, update the recipient email address. Activate:** Once configured, save and set the workflow to "Active" to let it run on its schedule. How to customize Creative Direction:* To change the style or theme of the videos (e.g., from kinetic sand to soap cutting), simply edit the systemMessage in the *"2. Enrich Idea into Plan"* and *"Prompts AI Agent"** nodes. Initial Ideas:* To influence the AI's starting concepts, modify the prompt in the *"1. Generate Trendy Idea"** node. Video & Sound:* To change the video duration or sound style, adjust the parameters in the *"Create Clips"* and *"Create Sounds"** nodes. Notifications:* Add or remove notification channels (like Slack or Discord) after the *"Upload to YouTube"** node.

Generate research-backed article with n8n Who’s it for Content marketers, SEO teams, and founders who need fast, research-grounded blog posts or long-form articles—multi-language included. Works well for teams that want citations, outlines, and section-by-section drafting with minimal manual effort. How it works / What it does Use a Form to collects domain, keywords, and target language. The workflow refines keywords, finds recent articles and authoritative citations, then synthesizes a master outline and loops through each section: generate search queries → fetch web results → summarize findings → write the section with the advanced model. Finally, it aggregates all sections into a clean Markdown article. Optional delivery nodes (Email, Telegram) and an AI Agent are included but disabled by default.  How to set up Import the workflow JSON into n8n. Add your OpenAI credential Set simple_model / advanced_model in LLM Params Requirements n8n instance with outbound internet access. OpenAI API access (Responses API + web_search_preview). (Optional) Email/Telegram credentials if you want to deliver results async How to customize the workflow Edit prompts in LLM Params and Section Prompts to match tone, structure, and SEO style Tweak recency and source rules in Search Articles / Search Citations.  Insert a human review step before “Write Section”, enable delivery nodes Change working/output languages in the Language node