Workflow Templates

This workflow transforms raw Meta Ads data into actionable, expert-level insights. It acts as a virtual performance marketer, analyzing each creative's performance, comparing it against your historical benchmarks, and delivering clear recommendations on whether to scale, optimize, or stop the ad. By running parallel analyses with both OpenAI and Gemini, it provides a unique, dual-perspective evaluation. This template is the perfect sequel to our "Automation of Creative Testing" workflow but also works powerfully on its own. Use Case Manually sifting through ads manager reports is tedious, and identifying true winners from early data is challenging. This workflow solves these problems by automating the entire analysis pipeline. It's designed for performance marketing teams who need to: Make faster, data-driven decisions on which creatives to scale. Get objective, AI-powered second opinions on ad performance. Systematically evaluate creatives against consistent, pre-defined benchmarks. Maintain a central log in Google Sheets with both raw metrics and qualitative AI analysis. Save hours spent on manual data crunching and report generation. How it Works The workflow is structured into three logical stages: Configuration & Data Ingestion: A central ⚙️ Set parameters node holds all key variables: the data source (Meta or Sheets), campaign_id, and, most importantly, your historical performance benchmarks as a simple text block. An IF node directs the workflow to fetch data either directly from a Meta Ads campaign or from a specified Google Sheet (ideal for analyzing a curated list of ads). Data Processing & AI Analysis (Parallel Execution): After fetching raw performance data (spend, impressions, clicks, actions), the workflow splits into three parallel branches for maximum resilience: Branch 1 (Data Logging): Immediately writes or updates a row in Google Sheets with the raw metrics for the creative. This ensures no data is lost, even if the AI analysis fails. Branch 2 (OpenAI Analysis): Prepares a CSV string of the creative's data, sends it along with the benchmarks to an OpenAI model (e.g., GPT-4), and instructs it to return a structured JSON analysis. Branch 3 (Gemini Analysis): Performs the exact same process but using Google's Gemini model via a LangChain agent, providing a second, independent evaluation. Results Aggregation: The results from both AI models are received as structured JSON. Two final Google Sheets nodes take these results and update the original row (matching by AdID), adding the evaluation, significance, summary, and recommendation into separate columns. The final sheet contains a complete picture: raw data side-by-side with analyses from two different AIs. Setup Instructions Credentials: 1.1 Connect your Meta Ads account. 1.2 Connect your Google account (for Sheets). 1.3 Connect your OpenAI account. 1.4 Connect your Google Gemini (Palm) account. The ⚙️ Set parameters Node: This is the central control panel. Open this first Set node and customize it: source: Set to "Meta" to pull from a campaign or "sheets" to read from a Google Sheet. campaign_id: If source is "Meta", enter your Meta Campaign ID here. benchmarks_data: This is critical. Paste your own historical performance data here as a CSV-formatted text block. The template includes an example. For best results, use an export from Ads Manager of your top-performing creatives, including key metrics. Google Sheets Nodes: There are three Google Sheets nodes that write data. You need to configure all of them to point to the same spreadsheet and sheet. Ad metrics (for raw metrics): Select your spreadsheet and sheet. Ensure "Operation" is set to Append or Update. Ad data from OpenAI (for OpenAI results): Select the same spreadsheet/sheet. Set "Operation" to Update. Ad data from Gemini (for Gemini results): Select the same spreadsheet/sheet. Set "Operation" to Update. Make sure your sheet has columns for all the data fields, e.g., AdID, FileName, spend, impressions, evaluation, summary, recommendation, evaluation G, summary G, etc. Activate the Workflow: Set your desired frequency in the Schedule Trigger node. Save and activate the workflow. Further Ideas & Customization This powerful analysis engine can be extended even further: Add a "Decision" Node: After the AI analyses are logged, add a final step that compares their recommendations. If both AIs say "scale", automatically increase the ad's budget via the Meta Ads API. Create Summary Reports: Add a branch that, after all ads are processed, calculates an overall summary (e.g., "3 creatives recommended for scaling, 5 for stopping") and sends it to a Slack channel. Dynamic Benchmarks: Instead of pasting benchmarks into the Set node, create a step that reads them from a dedicated "Benchmarks" tab in your Google Sheet, making them even easier to update. Experiment with Prompts and Benchmarks: The quality of the AI analysis is highly dependent on the quality of your input. Don't be afraid to: -- Refine the prompts in the AI Agent and Message a model nodes to better match your specific business context and KPIs. -- Curate your benchmarks_data. Test different sets of benchmark data (e.g., "last 30 days top performers" vs. "all-time best") to see how it influences the AI's recommendations. Finding the right combination of prompt and data is key to unlocking the most effective insights.

How It Works This workflow transforms any webpage into an AI-narrated audio summary delivered via WhatsApp: Receive URL - WhatsApp Trigger captures incoming messages and passes them to URL extraction Extract & validate - Code node extracts URLs using regex and validates format; IF node checks for errors User feedback - Sends either error message ("Please send valid URL") or processing status ("Fetching and analyzing... 10-30 seconds") Fetch webpage - Sub-workflow calls Jina AI Reader (https://r.jina.ai/) to fetch JavaScript-rendered content, bypassing bot blocks Summarize content - GPT-4o-mini processes webpage text in 6000-character chunks, extracts title and generates concise summary Generate audio - OpenAI TTS-1 converts summary text to natural-sounding audio (Opus format for WhatsApp compatibility) Deliver result - WhatsApp node sends audio message back to user with summary Why Jina AI? Many modern websites (like digibyte.io) require JavaScript to load content. Standard HTTP requests only fetch the initial HTML skeleton ("JavaScript must be enabled"). Jina AI executes JavaScript and returns clean, readable text. Setup Steps Time estimate: ~20-25 minutes 1. WhatsApp Business API Setup (10-15 minutes) Create Meta Developer App** - Go to https://developers.facebook.com/, create Business app, add WhatsApp product Get Phone Number ID** - Use Meta's test number or register your own business phone Generate System User Token** - Create at https://business.facebook.com/latest/settings/system_users (permanent token, no 4-hour expiry) Configure Webhook** - Point to your n8n instance URL, subscribe to "messages" events Verify business** - Meta requires 3-5 verification steps (business, app, phone, system user) 2. Configure n8n Credentials (5 minutes) OpenAI** - Add API key in Credentials → OpenAI (used in 2 places: "Convert Summary to Audio" and "OpenAI Chat Model" in sub-workflow) WhatsApp OAuth** - Add in WhatsApp Trigger node using System User token from step 1 WhatsApp API** - Add in all WhatsApp action nodes (Send Error, Send Processing, Send Audio) using same token 3. Link Sub-Workflow (3 minutes) Ensure "[SUB] Get Webpage Summary" workflow is activated In "Get Webpage Summary" node, select the sub-workflow from dropdown Verify workflow ID matches: QglZjvjdZ16BisPN 4. Update Phone Number IDs (2 minutes) Copy your Phone Number ID from Meta console Update in all WhatsApp nodes: Send Error Message, Send Processing Message, Send Audio Summary 5. Test the Flow (2 minutes) Activate both workflows (sub-workflow first, then main) Send test message to WhatsApp: https://example.com Verify: Processing message arrives → Audio summary delivered within 30 seconds Important Notes WhatsApp Caveats: 24-hour window** - Can't auto-message users after 24 hours unless they message first (send "Hi" each morning to reset) Verification fatigue** - Meta requires multiple business verifications; budget 30-60 minutes if first time Test vs Production** - Test numbers work for single users; production requires business verification Audio Format: Using Opus codec (optimal for WhatsApp, smaller file size than MP3) Speed set to 1.0 (normal pace) - adjust in "Convert Summary to Audio" node if needed Cost: ~$0.015 per minute of audio generated Jina AI Integration: Free tier** works for basic use (no API key required) Handles JavaScript-heavy sites automatically Add Authorization: Bearer YOUR_KEY header for higher limits Alternative: Replace with Playwright/Puppeteer for self-hosted rendering Cost Breakdown (per summary): GPT-4o-mini summarization: ~$0.005-0.015 OpenAI TTS audio: ~$0.005-0.015 WhatsApp messages: Free (up to 1,000/month) Total: ~$0.01-0.03 per summary** Troubleshooting: "Cannot read properties of undefined" → Status update, not message (code node returns null correctly) "JavaScript must be enabled" → Website needs Jina AI (already implemented in Fetch site texts node) Audio not sending → Check binary data field is named data in TTS node No webhook received → Verify n8n URL is publicly accessible and webhook subscription includes "messages" Pro Tips: Change voice in TTS node: alloy (neutral), echo (male), nova (female), shimmer (soft) Adjust summary length: Modify chunkSize: 6000 in sub-workflow's Text Splitter node (lower = faster but less detailed) Add rate limiting: Insert Code node after trigger to track user requests per hour Store summaries: Add database node after "Clean up" to archive for later retrieval The Use Cases: Executive commuting - Consume industry news hands-free Research students - Cover 3x more sources while multitasking Visually impaired - Access any webpage via natural audio Sales teams - Research prospects on the go Content creators - Monitor competitors while exercising

📄 Auto Extract Contacts from Business Cards to Sheet With GPT4o > This smart workflow extracts names, phone numbers, emails, and more from uploaded name card photos using AI, then logs them neatly into your Google Sheet. No typing. No mess. Just upload and go. 👤 Who’s it for Sales & Business Development Teams Recruiters & Talent Acquisition Specialists Event Teams collecting business cards Admins who manage contact databases manually ⚙️ How it works / What it does This workflow automates the extraction of contact details from uploaded name card (business card) images and stores them in a structured Google Sheet for easy tracking and follow-up. Workflow Steps: User uploads one or more name card images through a web form. The uploaded files are saved to a Google Drive folder for archiving. A smart AI agent (with OCR and GPT capabilities) scans each image and extracts relevant contact data into structured JSON format. Data is transformed, cleaned (e.g., removing + from phone numbers), and filtered. Valid contacts are appended to a Google Sheet for central tracking and future use. 🛠 How to set up Create a Form Allow file upload (JPG/PNG format). Label it as “Name Card Uploader” with a clear description. Upload to Google Drive Use the Google Drive node to store uploaded images. Configure Smart Agent Use GPT-4o or similar model with OCR capability. Apply a structured output parser to extract contact fields like name, phone, email, company, etc. Transform Data Use the Code node to clean and structure contact info. Strip out unwanted characters from phone numbers (e.g., +). Filter Invalid Records Remove entries with no meaningful contact data. Append to Google Sheets Use the Google Sheets node with "Append Sheet Row". Map fields to columns like Name, Phone, Email, etc. ✅ Requirements n8n workflow environment Google Drive integration (for file storage) Google Sheets integration (for storing contacts) GPT-4o or any image-capable LLM Clear name card images (PNG/JPG, readable text) (Optional) Slack/email integration for notifications 🧩 How to customize the workflow CRM Sync**: Connect to platforms like HubSpot, Salesforce, or Zoho. Validation Logic**: Ensure records contain key fields like name or email before writing. Uploader Info**: Attach submitter metadata to each contact record. Language Adaptation**: Adjust extracted field labels/output to target your preferred language. Batch Upload**: Handle multiple cards in a single image or multiple uploads in one go.

Description Who's it for This workflow is designed for developers, entrepreneurs, and startup enthusiasts who want personalized, AI-driven startup idea generation and analysis. Perfect for solo developers seeking side project inspiration, startup accelerators evaluating concepts, or anyone looking to validate business ideas with professional-grade analysis. How it works The workflow uses a three-stage Claude AI agent pipeline to create comprehensive startup analyses. The first agent generates innovative startup ideas based on your technical skills and preferences. The second agent acts as a venture capitalist, critically analyzing market viability, competition, and execution challenges. The third agent performs sentiment analysis and synthesizes a final recommendation with actionable next steps. How to set up Configure Anthropic API credentials for all three Claude AI model nodes Set up Gmail OAuth2 for email delivery Fill out the "My Information" node with your developer profile Update the recipient email address in the Gmail node Test with the manual trigger before enabling daily automation Requirements n8n account Anthropic API account for Claude AI access Gmail account with OAuth2 configured Basic understanding of developer skills and market preferences How to customize the workflow Modify the AI agent prompts to focus on specific industries or business models. Adjust temperature settings for different creativity levels. Add database storage to track idea history. Configure the form trigger for team-wide idea generation or integrate with Slack for automated sharing. Got a good idea? Visit my site https://techpoweredgrowth.com to get help getting to the next level Or reach out to luka.zivkovic@techpoweredgrowth.com

Who is this for? This workflow is designed for business founders, CMOs, marketing teams, and landing page designers who want to automatically analyze their landing pages and get personalized, unconventional, high-impact conversion rate optimization (CRO) recommendations. It works by scraping the landing page content, then leveraging multiple AI models to roast the page and generate creative CRO ideas tailored specifically for that page. What this Workflow Does / Key Features Captures a landing page URL through a user-friendly form trigger. Scrapes the landing page HTML content using an HTTP request node. Sends the scraped content to a LangChain AI Agent, which orchestrates various AI models (OpenAI, Google Gemini, Mistral, etc.) for deep analysis. The AI Agent produces a friendly, fun, and unconventional “roast” of the landing page, explaining what’s wrong in human tone. Generates 10 detailed, personalized, easy-to-implement, and 2024-relevant CRO recommendations with a “wow” factor. Delivers the analysis and recommendations via Telegram message, Gmail email, and WhatsApp (via Rapiwa). Utilizes multiple AI tools and search APIs to enhance the quality and creativity of the output. Requirements OpenAI API credentials configured in n8n. Google Gemini (PaLM) API credentials for LangChain integration. Mistral Cloud API credentials for text extraction. Telegram bot credentials for sending messages. Gmail OAuth2 credentials for email delivery. Rapiwa API credentials for WhatsApp notifications. Running n8n instance with nodes: Form Trigger, HTTP Request, LangChain AI Agent, Telegram, Gmail, and custom Rapiwa node. How to Use — step-by-step Setup 1) Credentials Add your OpenAI API key under n8n credentials (OpenAi account 2). Add Google Gemini API key (Google Gemini (PaLM) Api account). Add Mistral Cloud API key (Mistral Cloud account). Set up Telegram Bot credentials (Telegram account). Set up Gmail OAuth2 credentials (Gmail account). Add Rapiwa API key for WhatsApp messages (Rapiwa). 2) Configure the Form Trigger Customize the form title, description, and landing page URL input placeholder if desired. 3) Customize Delivery Nodes Modify the Telegram, Gmail, and Rapiwa nodes with your desired recipient info and messaging preferences. 4) Run the Workflow Open the form URL webhook and submit the landing page URL to get a detailed AI-powered CRO roast and recommendations sent directly to your communication channels. Important Notes The AI Agent prompt is designed to create a fun and unconventional roast to engage users emotionally. Avoid generic advice. All CRO recommendations are personalized and contextual based on the scraped content of the provided landing page. Ensure all API credentials are kept secure and not hard-coded. Use n8n credentials management. Adjust the delivery nodes to match your preferred communication channels and recipients. The workflow supports expansion with additional AI models or messaging platforms as needed. 🙋 For Help & Community 👾 Discord: n8n channel 🌐 Website: devcodejourney.com 🔗 LinkedIn: Connect with Shakil 📱 WhatsApp Channel: Join Now 💬 Direct Chat: Message Now

Automatically qualify inbound demo requests, scrape prospect websites, and send AI-personalized outreach emails—all on autopilot. What This Workflow Does This end-to-end lead automation workflow helps SaaS companies qualify and nurture inbound leads with zero manual work until human approval. Key Features ✅ Smart Email Filtering - Automatically flags personal emails (Gmail, Yahoo, etc.) and routes them to a polite regret message ✅ Website Intelligence - Scrapes prospect websites and extracts business context ✅ AI Analysis - Uses OpenAI to score ICP fit, identify pain points, and find personalization opportunities ✅ Personalized Outreach - AI drafts custom emails referencing specific details from their website ✅ Human-in-the-Loop - Approval gate before sending to ensure quality control ✅ Professional Branding - Even rejected leads get a thoughtful response Perfect For B2B SaaS companies with inbound lead forms Sales teams drowning in demo requests Businesses wanting to personalize at scale Anyone needing intelligent lead qualification What You'll Need Jotform account (or any form tool with webhooks) Create your form for free on Jotform using this link OpenAI API key Gmail account (or any email service) n8n instance (cloud or self-hosted) Workflow Sections 📧 Lead Intake & Qualification - Capture form submissions and filter personal emails 🕷️ Website Scraping - Extract company information from their domain ❌ Regret Flow - Send polite rejection to unqualified leads 🤖 AI Analysis - Analyze prospects and draft personalized emails 📨 Approved Outreach - Human review + send welcome email Customization Tips: Update the AI prompt with your company's ICP and value proposition Modify the personal email provider list based on your market Adjust the regret email template to match your brand voice Add Slack notifications for high-value leads Connect your CRM to log all activities Time Saved: ~15-20 minutes per lead Lead Response: Under 5 minutes (vs hours/days manually)

Monitor Indian (NSE/BSE) and US stock markets with intelligent price alerts, cooldown periods, and multi-channel notifications (Email + Telegram). Automatically tracks price movements and sends alerts when stocks cross predefined upper/lower limits. Perfect for day traders, investors, and portfolio managers who need instant notifications for price breakouts and breakdowns. How It Works Market Hours Trigger - Runs every 2 minutes during market hours Read Stock Watchlist - Fetches your stock list from Google Sheets Parse Watchlist Data - Processes stock symbols and alert parameters Fetch Live Stock Price - Gets real-time prices from Twelve Data API Smart Alert Logic - Intelligent price checking with cooldown periods Check Alert Conditions - Validates if alerts should be triggered Send Email Alert - Sends detailed email notifications Send Telegram Alert - Instant mobile notifications Update Alert History - Records alert timestamps in Google Sheets Alert Status Check - Monitors workflow success/failure Success/Error Notifications - Admin notifications for monitoring Key Features: Smart Cooldown**: Prevents alert spam Multi-Market**: Supports Indian & US stocks Dual Alerts**: Email + Telegram notifications Auto-Update**: Tracks last alert times Error Handling**: Built-in failure notifications Setup Requirements: 1. Google Sheets Setup: Create a Google Sheet with these columns (in exact order): A**: symbol (e.g., TCS, AAPL, RELIANCE.BSE) B**: upper_limit (e.g., 4000) C**: lower_limit (e.g., 3600) D**: direction (both/above/below) E**: cooldown_minutes (e.g., 15) F**: last_alert_price (auto-updated) G**: last_alert_time (auto-updated) 2. API Keys & IDs to Replace: YOUR_GOOGLE_SHEET_ID_HERE - Replace with your Google Sheet ID YOUR_TWELVE_DATA_API_KEY - Get free API key from twelvedata.com YOUR_TELEGRAM_CHAT_ID - Your Telegram chat ID (optional) your-email@gmail.com - Your sender email alert-recipient@gmail.com - Alert recipient email 3. Stock Symbol Format: US Stocks**: Use simple symbols like AAPL, TSLA, MSFT Indian Stocks**: Use .BSE or .NSE suffix like TCS.NSE, RELIANCE.BSE 4. Credentials Setup in n8n: Google Sheets**: Service Account credentials Email**: SMTP credentials Telegram**: Bot token (optional) Example Google Sheet Data: symbol upper_limit lower_limit direction cooldown_minutes TCS.NSE 4000 3600 both 15 AAPL 180 160 both 10 RELIANCE.BSE 2800 2600 above 20 Output Example: Alert: TCS crossed the upper limit. Current Price: ₹4100, Upper Limit: ₹4000.

Who’s it for Marketers, creators, and social managers who want hands-off reposting of a specific X (Twitter) user’s videos — with on-brand AI captions and clean, deduplicated logs. What it does / How it works On a schedule, the workflow resolves a target user, fetches recent tweets with media, filters to video posts, and writes them to Google Sheets for tracking and dedupe. It then builds a shareable video URL, generates a short caption via an AI model (OpenRouter), posts to your X account, and updates the sheet with completion status. Sticky notes inside the workflow explain each step, setup tasks, and best practices. How to set up Add credentials: Twitter (X) OAuth2, Google Sheets OAuth2, OpenRouter. Replace the demo Google Sheet with your own (document ID & sheet name). Set the target X username (or parameterize it). Adjust the schedule (interval/cron) and run a test execution. Verify logs and posting format, then enable. Requirements Twitter (X) OAuth2 credential Google Sheets OAuth2 credential OpenRouter credential (choose an affordable model) How to customize Edit the caption prompt (tone, hashtags count, CTAs, compliance lines). Add filters (language, min/max tweet age, exclude replies/retweets, since_id). Extend logging (timestamps, posted text, account, errors). Introduce a dry-run boolean to skip posting while testing. Swap the caption model or add retry rules for robustness. Security: Don’t hardcode tokens in HTTP nodes. Use n8n Credentials only and remove personal IDs before publishing.

Multichannel AI Assistant Demo for Chatwoot This simple n8n template demonstrates a Chatwoot integration that can: Receive new messages via a webhook. Retrieve conversation history. Process the message history into a format suitable for an LLM. Demonstrate an AI Assistant processing a user's query. Send the AI Assistant's response back to Chatwoot. Use Case: If you have multiple communication channels with your clients (e.g., Telegram, Instagram, WhatsApp, Facebook) integrated with Chatwoot, you can use this template as a starting point to build more sophisticated and tailored AI solutions that cover all channels at once. How it works A webhook receives the message created event from Chatwoot. The webhook data is then filtered to keep only the necessary information for a cleaner workflow. The workflow checks if the message is "incoming." This is crucial to prevent the assistant from replying to its own messages and creating endless loops. The conversation history is retrieved from Chatwoot via an API call using the HTTP Request node. This allows the assistant's interaction to be more natural and continuous without needing to store conversation history locally. A simple AI Assistant processes the conversation history and generates a response to the user based on its built-in knowledge base (see the prompt in the assistant node). The final HTTP Request node sends the AI-generated response back to the appropriate Chatwoot conversation. How to Use In Chatwoot, go to Settings → Integrations → Webhooks and add your n8n webhook URL. Be sure to select the message created event. In the HTTP Request nodes, replace the placeholder values: https://yourchatwooturl.com api_access_token You can find these values on your Chatwoot super admin page. The LLM node is configured to use OpenRouter. Add your OpenRouter credentials, or replace the node with your preferred LLM provider. Requirements An API key for OpenRouter or credentials for your preferred LLM provider. A Chatwoot account with at least one integrated channel and super admin access to obtain the api_access_token. Need Help Building Something More? Contact me on: Telegram:** @ninesfork LinkedIn:** George Zargaryan Happy Hacking! 🚀

🔄 How It Works - LinkedIn Post with Image Automation Overview This n8n automation creates and publishes LinkedIn posts with AI-generated images automatically. It's a complete end-to-end solution that transforms simple post titles into engaging social media content. Step-by-Step Process 1. Content Trigger & Management Google Sheets Trigger** monitors a spreadsheet for new post titles Only processes posts with "pending" status Limits to one post at a time for controlled execution 2. AI Content Generation AI Agent** uses Google Gemini to create engaging LinkedIn posts Takes the post title and generates: Compelling opening hooks 3-4 informative paragraphs Engagement questions Relevant hashtags (4-6) Appropriate emojis Output is structured and formatted for LinkedIn 3. AI Image Creation Google Gemini Image Generation** creates custom visuals Uses the AI-generated post content as context Generates professional images featuring: Modern workspace with coding elements Flutter development themes Professional, LinkedIn-appropriate aesthetics 16:9 aspect ratio, high resolution No text or captions** in the generated image 4. Image Processing & Storage Generated images are uploaded to Google Drive Files are shared with public access permissions Image URLs are stored back in the spreadsheet for tracking 5. LinkedIn Publishing LinkedIn API integration** handles the posting process: Registers image uploads Uploads images to LinkedIn's servers Creates posts with text + image Publishes to your LinkedIn profile Updates spreadsheet status to "posted" Technical Architecture Google Sheets → AI Content → AI Image → Google Drive → LinkedIn API → Status Update ↓ ↓ ↓ ↓ ↓ ↓ Trigger Gemini LLM Gemini File Upload Posting Tracking Content Gen Image Gen Key Features ✅ Fully Automated - Runs continuously without manual intervention ✅ AI-Powered - Both content and images generated by AI ✅ Professional Quality - LinkedIn-optimized formatting and visuals ✅ Real-time Tracking - Monitor status and performance ✅ Scalable - Handle multiple posts and campaigns How to Use Setup Requirements Google Gemini API for content and image generation LinkedIn API credentials for posting Google Sheets for content management Google Drive for image storage n8n instance for workflow execution Content Management Add new post titles to your Google Sheet Set status to "pending" Automation automatically processes and publishes Status updates to "posted" upon completion Customization Options Modify AI prompts for different content styles Adjust image generation parameters Change posting frequency and timing Add multiple LinkedIn accounts Integrate with other content sources Use Cases �� Perfect for: Startups** wanting consistent LinkedIn presence Marketing teams** overwhelmed with content creation HR departments** building employer branding Agencies** managing multiple client accounts Solo entrepreneurs** needing professional social media presence Benefits ⏰ Time Savings: 20+ hours per week for content teams 📈 Consistency: Daily, professional posts without gaps 🎨 Quality: AI-optimized content and visuals 📊 Scalability: Handle unlimited content volume 💰 Cost Effective: Reduce manual content creation costs 🔄 The automation runs continuously, ensuring your LinkedIn presence stays active and engaging 24/7! For inquiries: mfarooqiqbal143@gmail.com

🚀 AI-Powered LinkedIn Post Automation with Figma Templates 🧩 How It Works This workflow automatically generates professional, branded LinkedIn posts using your custom Figma designs. Perfect for marketers, agencies, content creators, and businesses who want to maintain consistent branding while automating social media content creation. Key Features: Design-first approach using Figma templates AI-powered content generation (optional) High-quality image generation from templates Automatic LinkedIn publishing Telegram notifications for success/failure tracking High-Level Workflow: Template Selection: Fetch your pre-designed Figma templates from Templated Content Preparation: Set static content or configure the prompts in the agents to generate with AI (ChatGPT/Claude) Image Generation: Create branded images with dynamic content via Templated MCP server LinkedIn Publishing: Automatically post text and image to your LinkedIn profile or company page (single image or carousel post) Notification: Receive Telegram alert on success/failure (optional) ⚙️ Set Up Steps (Quick Overview) 🕐 Estimated Setup Time: ~15 minutes Create Templated Account: Sign up at templated.cometai.eu, import Figma designs, generate API key Configure LinkedIn OAuth: Set up LinkedIn Developer app with OAuth2 credentials for automatic posting Connect Templated MCP: Add API key authentication to MCP server nodes for template and image generation Set Up Telegram (Optional): Create bot for workflow notifications Customize Content: Add static fields or configure AI nodes for dynamic content generation Schedule & Activate: Set posting schedule (daily, weekly, etc.) and activate workflow 💡 Important Notes Figma Integration**: Uses real Figma files as templates - maintain professional design quality without manual recreation Template Variables**: Supports dynamic placeholders in Figma text layers for content replacement Character Limits**: Respects maxLength settings to ensure text fits your design Rate Limits**: LinkedIn allows 25 posts/day (personal), 100/day (company pages) AI-Ready**: Easily integrate ChatGPT, Claude, or other AI models for content generation Batch Generation**: Generate multiple posts at once with different templates 🛠 Detailed Node Breakdown 1. Schedule Trigger Action**: Triggers the workflow on a schedule (daily, weekly, custom cron) Configuration**: Set your desired posting frequency Alternative**: Use manual trigger for on-demand posts 2. LinkedIn Post Writer (OpenAI Chat Model) Action**: AI generates engaging LinkedIn post content based on your topic/prompt Tools**: Simple Memory, Think, Date & Time, Search latest news Output**: Professional post text ready for publication 3. Carousel Ideator (Templated MCP Client) Action**: Connects to Templated MCP server to fetch available templates Configuration**: Uses your Templated API key for authentication Output**: Available template IDs and configurations for carousel generation 4. Generate the Carousel (POST to Templated MCP) Action**: Sends content to Templated server with template ID and field data Input**: Template selection, content fields (title, subtitle, etc.) Output**: Encoded carousel images generated from Figma templates 5. Extract from File Action**: Extracts generated image data from the MCP response Process**: Parses the encoded image string for LinkedIn upload 6. Get LinkedIn User Info (HTTP Request) Action**: Fetches your LinkedIn profile URN for post attribution Authentication**: OAuth2 LinkedIn credentials Output**: User ID required for posting 7. Initialize Upload URN Action**: Requests upload URL from LinkedIn for carousel document upload Process**: Prepares LinkedIn's upload mechanism for multi-image posts 8. Edit Fields Action**: Maps and formats data for LinkedIn API requirements Process**: Structures image data and post metadata correctly 9. Convert to Binary Action**: Converts image data to binary format Key**: Required format for LinkedIn document upload API 10. Upload Posts as Binary Action**: Uploads the carousel document to LinkedIn's servers Process**: Multi-part upload of generated images 11. Get Uploaded File URN Action**: Retrieves LinkedIn's asset ID for the uploaded content Output**: Asset URN needed for post creation 12. Switch (Conditional Logic) Action**: Handles success/error routing Routes**: Directs to LinkedIn post creation on success, error notification on failure 13. Create LinkedIn Post (HTTP Request) Action**: Creates the final LinkedIn post with carousel and text Authentication**: OAuth2 with LinkedIn posting permissions Result**: Published carousel post on your LinkedIn feed 14. Success/Error Notifications (Telegram) Action**: Sends notification about workflow execution status Success**: Confirms post published with details Error**: Alerts you to failures with error message and debugging info ⏱ Execution Time Breakdown Total Estimated Execution Time: ~10–30 seconds per workflow run Template Fetch: ~1–2 seconds Content Preparation: ~1–2 seconds Image Generation: ~5–15 seconds LinkedIn Post Upload: ~2–5 seconds Telegram Notification: ~1–2 seconds Note: AI content generation (if added) adds ~5-10 seconds 🚀 Ready to Get Started? What You'll Need: Free Templated account at templated.cometai.eu Figma designs with placeholder text LinkedIn Developer app (free) n8n instance (cloud or self-hosted) Quick Start: Import this workflow to your n8n instance Follow the setup guide in the workflow notes Test with a single post Schedule for automatic posting Sit back and watch your LinkedIn feed grow! 🎉 📝 Notes & Customizations Template Customization Create multiple templates in Figma for different content types (quotes, announcements, tips, etc.) Rotate templates for visual variety Use template descriptions to guide AI content generation Set character limits per placeholder to prevent overflow Content Generation Options Static Mode**: Define fields manually for recurring post types AI Mode**: Connect ChatGPT/Claude for dynamic, topic-based content Hybrid Mode**: Mix static brand elements with AI-generated copy Scheduled Variety**: Rotate between templates and content styles Advanced Features Multi-Platform**: Duplicate workflow for Twitter, Instagram, Facebook A/B Testing**: Track performance across different templates Content Calendar**: Pull scheduled posts from Notion/Airtable Analytics Integration**: Log post IDs for engagement tracking

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Automate Social Media with HeyGen and GPT-5: Publish Videos to TikTok, YouTube & Instagram 👥 Who is this for? This workflow is designed for: Content creators who want to scale their short-form video production Marketing teams seeking consistent and automated publishing pipelines Agencies managing multiple social accounts for clients Entrepreneurs looking to save time by automating repetitive content tasks 💡 What problem is this workflow solving? Publishing on multiple platforms like YouTube Shorts, TikTok, and Instagram is often: Time-consuming (manual editing, caption writing, uploads) Inconsistent (different requirements for each platform) Prone to delays (switching between tools) This workflow solves these issues by creating a fully automated video pipeline powered by GPT-5, HeyGen, and Blotato. ⚙️ What this workflow does Capture voice idea via Telegram Transcribe voice to text using OpenAI Whisper Generate a catchy title and caption with GPT-5 Create an AI avatar video with HeyGen Save and organize assets in Google Drive and Google Sheets Upload final video to Blotato Auto-publish to: YouTube Shorts TikTok Instagram (Optional: Facebook, X/Twitter, LinkedIn, Pinterest, Threads, Bluesky) Update logs in Google Sheets Send a Telegram confirmation once published 🧰 Setup Before using this workflow, ensure you have: A Telegram Bot connected to n8n for voice input An OpenAI API key for transcription (Whisper) and GPT-5 processing A HeyGen account & API key for avatar video generation A Google Drive & Google Sheets integration for storing assets and logs A Blotato account (Pro plan) with API access enabled Verified Community Nodes enabled in n8n Admin Panel Blotato node installed and credentials configured 🛠️ How to customize this workflow Prompts** → Adjust GPT-5 prompts to match your brand voice and niche Avatars** → Use custom avatars or voices via HeyGen configuration Platforms** → Activate only the social nodes you need (e.g., focus on TikTok & YouTube Shorts) Approval steps** → Add Telegram or Slack confirmation before publishing Analytics** → Extend the workflow to track engagement data in Google Sheets, Airtable, or Notion This workflow turns a simple spoken idea into a viral-ready video — automatically generated, styled, and posted across your most important platforms. 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube