Workflow Templates

Google NanoBanana Model Image Editor for Consistent AI Influencer Creation with Kie AI Image Generation & Enhancement Workflow This n8n template demonstrates how to use Kie.ai's powerful image generation models to create and enhance images using AI, with automated story creation, image upscaling, and organized file management through Google Drive and Sheets. Use cases include: AI-powered content creation for social media, automated story visualization with consistent characters, marketing material generation, and high-quality image enhancement workflows. Good to know The workflow uses Kie.ai's google/nano-banana-edit model for image generation and nano-banana-upscale for 4x image enhancement Images are automatically organized in Google Drive with timestamped folders Progress is tracked in Google Sheets with status updates throughout the process The workflow includes face enhancement during upscaling for better portrait results All generated content is automatically saved and organized for easy access How it works Project Setup: Creates a timestamped folder structure in Google Drive and initializes a Google Sheet for tracking Story Generation: Uses OpenAI GPT-4 to create detailed prompts for image generation based on predefined templates Image Creation: Sends the AI-generated prompt along with 5 reference images to Kie.ai's nano-banana-edit model Status Monitoring: Polls the Kie.ai API to monitor task completion with automatic retry logic Image Enhancement: Upscales the generated image 4x using nano-banana-upscale with face enhancement File Management: Downloads, uploads, and organizes all generated content in the appropriate Google Drive folders Progress Tracking: Updates Google Sheets with status information and image URLs throughout the entire process Key Features Automated Story Creation**: AI-powered prompt generation for consistent, cinematic image creation Multi-Stage Processing**: Image generation followed by intelligent upscaling Smart Organization**: Automatic folder creation with timestamps and file management Progress Tracking**: Real-time status updates in Google Sheets Error Handling**: Built-in retry logic and failure state management Face Enhancement**: Specialized enhancement for portrait images during upscaling How to use Manual Trigger: The workflow starts with a manual trigger (easily replaceable with webhooks, forms, or scheduled triggers) Automatic Processing: Once triggered, the entire pipeline runs automatically Monitor Progress: Check the Google Sheet for real-time status updates Access Results: Find your generated and enhanced images in the organized Google Drive folders Requirements Kie.ai Account**: For AI image generation and upscaling services OpenAI API**: For intelligent prompt generation (GPT-4 mini) Google Drive**: For file storage and organization Google Sheets**: For progress tracking and status monitoring Customizing this workflow This workflow is highly adaptable for various use cases: Content Creation**: Modify prompts for different styles (fashion, product photography, architectural visualization) Batch Processing**: Add loops to process multiple prompts or reference images Social Media**: Integrate with social platforms for automatic posting E-commerce**: Adapt for product visualization and marketing materials Storytelling**: Create sequential images for visual narratives or storyboards The modular design makes it easy to add additional processing steps, change AI models, or integrate with other services as needed. Workflow Components Folder Management**: Dynamic folder creation with timestamp naming AI Integration**: OpenAI for prompts, Kie.ai for image processing File Processing**: Binary handling, URL management, and format conversion Status Tracking**: Multi-stage progress monitoring with Google Sheets Error Handling**: Comprehensive retry and failure management systems

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)

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

This workflow automates the full process of generating, creating, and assigning optimized WordPress tags to a specific blog post. It uses a combination of WordPress API actions, AI analysis (Claude Opus 4.5), and internal data cleaning to ensure SEO-friendly, consistent, and properly structured tags. Key Features ✅ 1. Full Tag Automation The workflow removes the need for manual tag selection or creation. It automatically: Reads the article content Chooses relevant existing tags Creates new SEO-optimized ones Assigns them to the article This eliminates human error and saves significant editorial time. ✅ 2. AI-Optimized SEO Thanks to the integrated Claude analysis, tags are: Semantically relevant Optimized for search intent Designed to improve discoverability and CTR Adapted to the specific content structure This allows for a much higher SEO quality compared to manual tagging. ✅ 3. Intelligent Tag Management The system ensures: A maximum of 4 total tags No irrelevant or duplicate tags Tags follow naming conventions (e.g., multi-word or acronyms) This creates a clean, consistent tag taxonomy across the WordPress site. ✅ 4. Automated Tag Creation in WordPress New tags are automatically created directly in WordPress via API, ensuring: Perfect synchronization with your CMS No need to manually add new tags from the WordPress backend Immediate availability for future posts ✅ 5. Clean and Reliable Data Handling Custom code nodes and aggregation steps: Merge tag arrays safely Remove duplicates Produce clean, valid JSON outputs This makes the workflow stable even with large or complex tag lists. ✅ 6. Modular and Scalable Architecture Every step (fetching, AI analysis, creation, merge, update) is separated into independent nodes, making it easy to: Extend the workflow (e.g., add categories, multilingual tags, taxonomy validation) Plug in different AI models Reuse the structure for other WordPress automations ✅ 7. Consistent Output Validation The Structured Output Parser ensures: Correct JSON schema Safe handling of AI output No malformed data sent to WordPress This makes the automation robust and production-ready. How it works This workflow is an intelligent, AI-powered tag suggestion and assignment system for WordPress. It automates the process of analyzing a blog post's content and assigning the most relevant tags, creating new ones if necessary. Data Retrieval & Preparation: The workflow starts by fetching a specific WordPress article using a provided post_id. Simultaneously, it retrieves all existing tags from the WordPress site via the REST API. These two data streams are then merged into a single data structure. AI-Powered Tag Analysis: The merged data (article content and existing tag list) is sent to an LLM (Claude Opus 4.5). The AI acts as an "SEO expert," analyzing the article's title, content, and excerpt. It follows a strict set of instructions to select up to 4 relevant tags from the existing list and, if needed, suggests new tag names to reach a total of 4 tags. Tag Processing & Creation: The workflow splits the AI's output into two paths: Existing Tags: The list of selected tag IDs is prepared for the final update. New Tags: The list of new tag names is processed in a loop. For each new tag, the workflow sends a POST request to the WordPress API to create it. The newly created tag IDs are collected. Final Assignment: The existing tag IDs and the newly created tag IDs are merged into a single list. This final list of tag IDs is then sent back to the original WordPress article via an "Update" operation, effectively tagging the post. Set up steps To configure and run this workflow, follow these steps: Provide Input Data: In the "Set data" node, you must configure the two required assignment fields: post_id: Set this to the numerical ID of the WordPress post you want to analyze and tag. url: Set this to the base URL of your WordPress site (e.g., https://yourwebsite.com/). Configure WordPress Credentials: Ensure that the "Wordpress" and "HTTP Request" nodes are correctly linked to a valid set of WordPress credentials within n8n. These credentials must have the necessary permissions to read and update posts, as well as create new tags. Configure Claude Opus 4.5 Credentials: Verify that the "Claude Chat Model" nodes are linked to a valid Claude API key credential in n8n. Execute: Once the credentials and input data are set, click "Execute Workflow" on the manual trigger node to run the process. The workflow will fetch the article, analyze it with AI, create any new tags, and update the post with the final selection of tags. Need help customizing? Contact me for consulting and support or add me on Linkedin.

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.

🔄 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 UGC Video Generator Automatically create consistent, professional UGC (User-Generated Content) videos at scale using cutting-edge AI models. This workflow combines three reference images into hyper-realistic selfie-style photos, then transforms them into engaging 8-second videos perfect for TikTok, Instagram Reels, and social media ads. ✨ What This Workflow Does Part 1: Image Generation Combines 3 reference images (product + character + background) using NanoBanana Pro AI agent generates optimized prompts for realistic UGC selfie photos Analyzes output quality before proceeding to video generation Part 2: Video Creation Transforms static images into dynamic 8-second videos using Google Veo 3.1 AI agent creates natural dialogue and scene descriptions Batch processes multiple tasks automatically via Google Sheets 🎯 Perfect For E-commerce brands** creating product demonstration videos Marketing agencies** producing social media ad content at scale Content creators** generating consistent UGC-style videos A/B testing** multiple video variations quickly Dropshippers** needing authentic product videos without filming 🚀 Key Features ✅ Consistent Characters - Same person, style, and aesthetic across all videos ✅ Batch Processing - Manage multiple tasks via Google Sheets ✅ Multi-Model Support - Primary + fallback AI models for reliability ✅ Smart Error Handling - Automatic retries and status tracking ✅ Dual Workflow - Separate pipelines for image and video generation ✅ Quality Analysis - AI checks image quality before video creation 🛠️ Required APIs Essential: Google Sheets API (free) Atlas Cloud API (for NanoBanana Pro & Veo 3.1) Choose at least ONE: OpenAI API (GPT-5-Mini recommended) Groq API (fast & free tier available) Google Gemini API (alternative) 📋 How It Works Image Generation Pipeline: Reads tasks from Google Sheets (Status: "Ready") AI agent generates optimized image prompt Downloads and uploads 3 reference images to temp storage NanoBanana Pro combines images into realistic UGC selfie Analyzes output image quality Updates sheet with results (Status: "Edited") Video Generation Pipeline: Reads edited tasks from Google Sheets (Status: "Edited") AI agent generates video prompt with natural dialogue Veo 3.1 transforms image into 8-second video Polls generation status every 10 seconds Updates sheet with final video (Status: "Finished") 💡 Pro Tips Use high-quality reference images** (minimum 1024x1024px) Keep character photos consistent** (same person, similar lighting) Write clear scene descriptions** for better results Test with 1 task first** before running large batches Monitor API quotas** to avoid rate limits 📺 Full Tutorial Complete setup walkthrough available on YouTube: Watch Tutorial 🎓 What You'll Learn Setting up multi-step AI automation workflows Integrating multiple AI models (OpenAI, Groq, Gemini) Using NanoBanana Pro for advanced image editing Generating videos with Google Veo 3.1 Managing batch processes via Google Sheets Implementing fallback models for reliability Handling errors and status tracking 📊 Google Sheets Template Structure The workflow includes a pre-built template with these columns: Task ID** - Unique identifier Product Photo** - Product image URL Character** - Person reference image URL Background** - Scene background URL Product Name** - Name of the product Product Description** - Details about the product Target Market** - Audience for the video Video Scene** - Scene description for video Status** - Workflow status (Ready → Edited → Finished) Image Prompt** - Generated prompt for image Image Result** - Output image URL Analyze Image** - Quality analysis results Video Prompt** - Generated prompt for video Video Result** - Final video URL Error Message** - Error details if failed 🔄 Status Flow Ready → Edited → Finished ↓ ↓ ↓ Error Error Error ⚙️ Customization Options Adjust Image Style: Modify the Image Prompt Agent system message Change composition (close-up, medium shot, wide) Adjust lighting (natural, studio, dramatic) Modify Video Output: Edit Video Prompt Agent for different styles Change duration (default: 8 seconds) Customize dialogue language (default: Indonesian) Adjust camera angles and movements Add More AI Models: Connect additional providers as fallbacks Models are tried in order until success Supports OpenAI, Anthropic, Groq, Gemini 🔐 Security Notes Never commit API keys to version control Use environment variables in production Don't share your Google Sheets publicly Rotate API keys regularly Set billing alerts on all platforms 📞 Support & Updates Created by: Kristian Ekachandra Follow for more AI automation workflows: 🎥 YouTube: @aichandre 📸 Instagram: @aichandre 🎵 TikTok: @aichandre 🏷️ Tags ai-video ugc content-creation video-generation batch-processing google-sheets openai groq nanobanana-pro veo-3.1 marketing social-media tiktok instagram-reels automation

Competitor Price Monitoring Dashboard with AI and Real-time Alerts 🎯 Target Audience E-commerce managers and pricing analysts Retail business owners monitoring competitor pricing Marketing teams tracking market positioning Product managers analyzing competitive landscape Data analysts conducting pricing intelligence Business strategists making pricing decisions 🚀 Problem Statement Manual competitor price monitoring is inefficient and often leads to missed opportunities or delayed responses to market changes. This template solves the challenge of automatically tracking competitor prices, detecting significant changes, and providing actionable insights for strategic pricing decisions. 🔧 How it Works This workflow automatically monitors competitor product prices using AI-powered web scraping, analyzes price trends, and sends real-time alerts when significant changes are detected. Key Components Scheduled Trigger - Runs the workflow at specified intervals to maintain up-to-date price data AI-Powered Scraping - Uses ScrapeGraphAI to intelligently extract pricing information from competitor websites Price Analysis Engine - Processes historical data to detect trends and anomalies Alert System - Sends notifications via Slack and email when price changes exceed thresholds Dashboard Integration - Stores all data in Google Sheets for comprehensive analysis and reporting 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | timestamp | DateTime | When the price was recorded | "2024-01-15T10:30:00Z" | | competitor_name | String | Name of the competitor | "Amazon" | | product_name | String | Product name and model | "iPhone 15 Pro 128GB" | | current_price | Number | Current price in USD | 999.00 | | previous_price | Number | Previous recorded price | 1099.00 | | price_change | Number | Absolute price difference | -100.00 | | price_change_percent | Number | Percentage change | -9.09 | | product_url | URL | Direct link to product page | "https://amazon.com/iphone15" | | alert_triggered | Boolean | Whether alert was sent | true | | trend_direction | String | Price trend analysis | "Decreasing" | 🛠️ Setup Instructions Estimated setup time: 15-20 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Google Sheets account with API access Slack workspace for notifications (optional) Email service for alerts (optional) Step-by-Step Configuration 1. Install Community Nodes Install required community nodes npm install n8n-nodes-scrapegraphai npm install n8n-nodes-slack 2. Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working 3. Set up Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Create a new spreadsheet for price monitoring data Configure the sheet name (default: "Price Monitoring") 4. Configure Competitor URLs Update the websiteUrl parameters in ScrapeGraphAI nodes Add URLs for each competitor you want to monitor Customize the user prompt to extract specific pricing data Set appropriate price thresholds for alerts 5. Set up Notification Channels Configure Slack webhook or API credentials Set up email service credentials (SendGrid, SMTP, etc.) Define alert thresholds and notification preferences Test notification delivery 6. Configure Schedule Trigger Set monitoring frequency (hourly, daily, etc.) Choose appropriate time zones for your business hours Consider competitor website rate limits 7. Test and Validate Run the workflow manually to verify all connections Check Google Sheets for proper data formatting Test alert notifications with sample data 🔄 Workflow Customization Options Modify Monitoring Targets Add or remove competitor websites Change product categories or specific products Adjust monitoring frequency based on market volatility Extend Price Analysis Add more sophisticated trend analysis algorithms Implement price prediction models Include competitor inventory and availability tracking Customize Alert System Set different thresholds for different product categories Create tiered alert systems (info, warning, critical) Add SMS notifications for urgent price changes Output Customization Add data visualization and reporting features Implement price history charts and graphs Create executive dashboards with key metrics 📈 Use Cases Dynamic Pricing**: Adjust your prices based on competitor movements Market Intelligence**: Understand competitor pricing strategies Promotion Planning**: Time your promotions based on competitor actions Inventory Management**: Optimize stock levels based on market conditions Customer Communication**: Proactively inform customers about price changes 🚨 Important Notes Respect competitor websites' terms of service and robots.txt Implement appropriate delays between requests to avoid rate limiting Regularly review and update your monitoring parameters Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly Consider legal implications of automated price monitoring 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Google Sheets permission errors: Check OAuth2 scope and permissions Price parsing errors: Review the Code node's JavaScript logic Rate limiting: Adjust monitoring frequency and implement delays Alert delivery failures: Check notification service credentials Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations Slack API documentation for notification setup

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works • Publishes content to 9 social platforms (Instagram, YouTube, TikTok, Facebook, LinkedIn, Threads, Twitter/X, Bluesky, Pinterest) from a single Airtable base • Automatically uploads media to Blotato, handles platform-specific requirements (YouTube titles, Pinterest boards), and tracks success/failure for each post • Includes smart features like GPT-powered YouTube title optimization, Pinterest Board ID finder tool, and random delays to avoid rate limits Set up steps • Takes ~20–35 minutes to configure all 9 platforms (or less if you only need specific ones) • Requires Airtable personal access token, Blotato API key, and connecting your social accounts in Blotato dashboard • Workflow includes comprehensive sticky notes with step-by-step Airtable base setup, credential configuration, platform ID locations, and quick debugging links for each social network Pro tip: The workflow is modular - you can disable any platforms you don't use by deactivating their respective nodes, making it flexible for any social media strategy from single-platform to full omnichannel publishing.

🚀 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

Amplify Social Media Presence with O3 and GPT-4 Multi-Agent Team 🌍 Overview This n8n workflow acts like a virtual social media department. A Social Media Director Agent coordinates multiple specialized AI agents (Instagram, Twitter/X, Facebook, TikTok, YouTube, and Analytics). Each agent creates or analyzes content for its platform, powered by OpenAI models. The result? A fully automated, cross-platform social media strategy—from content creation to performance tracking. 🟢 Section 1: Trigger & Director Setup 🔗 Nodes: When chat message received (Trigger)** → Starts the workflow whenever you send a request (e.g., “Plan a TikTok campaign for my product launch”). Social Media Director Agent* (connected to *OpenAI O3 model**) → Acts as the strategist. Think Tool** → Helps the Director “reason” before delegating. 💡 Beginner takeaway: This section makes your workflow interactive. You send a request → the Director decides the best approach → then it assigns tasks. 📈 Advantage: Instead of manually planning content per platform, you only send one command, and the AI Director handles the strategy. 🟦 Section 2: Specialized Social Media Agents 🔗 Nodes (each paired with GPT-4.1-mini): 📸 Instagram Content Creator → Visual storytelling, Reels, Hashtags 🐦 Twitter/X Strategist → Viral tweets, trends, engagement 👥 Facebook Community Manager → Audience growth, ads, group engagement 🎵 TikTok Video Creator → Short-form video, viral trends 🎬 YouTube Content Planner → Long-form strategy, SEO, thumbnails 📊 Analytics Specialist → Performance insights, cross-platform reporting 💡 Beginner takeaway: Each platform has its own AI expert. They receive the Director’s strategy and produce tailored content for their platform. 📈 Advantage: Instead of one-size-fits-all posts, you get optimized content per platform—increasing reach and engagement. 🟣 Section 3: Models & Connections 🔗 Nodes: OpenAI Chat Models** (O3 + multiple GPT-4.1-mini models) Each model is connected to its respective agent. 💡 Beginner takeaway: Think of these as the “brains” behind each specialist. The Director uses O3 for advanced reasoning, while the specialists use GPT-4.1-mini (cheaper, faster) for content generation. 📈 Advantage: This keeps costs low while maintaining quality output. 📊 Final Overview Table | Section | Nodes | Purpose | Benefit | | --------------------- | -------------------------------------------------------- | -------------------------------------- | ------------------------------ | | 🟢 Trigger & Director | Chat Trigger, Director, Think Tool | Capture requests & plan strategy | One command → full social plan | | 🟦 Specialists | Instagram, Twitter, Facebook, TikTok, YouTube, Analytics | Platform-specific content | Optimized posts per platform | | 🟣 Models | O3 + GPT-4.1-mini | Provide reasoning & content generation | High-quality, cost-efficient | 🚀 Why This Workflow is Powerful Multi-platform coverage**: All major platforms handled in one flow Human-like strategy**: Director agent makes real marketing decisions Scalable & fast**: Generate a full campaign in minutes Cost-effective**: O3 only for strategy, GPT-4.1-mini for bulk content Beginner-friendly**: Just type your request → get full campaign output

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Automate Video Creation from Voice Input with HeyGen & n8n 👥 Who is this for? This workflow is ideal for: Content creators who want to turn ideas into videos in minutes Marketers managing multi-platform video campaigns Agencies needing scalable video workflows for multiple clients Entrepreneurs looking to automate social media presence 💡 What problem is this workflow solving? Creating and publishing videos across TikTok, YouTube, Instagram and more is: Time-consuming (writing scripts, creating videos, uploading manually) Inconsistent (different platforms, formats, captions) Hard to scale without automation This workflow solves it by turning a voice note into a complete AI video — scripted, generated, and published automatically. ⚙️ What this workflow does Capture idea via Telegram voice note Transcribe audio to text using OpenAI Whisper Generate script, title, and caption with GPT-5 Create avatar video with HeyGen based on your script Save final video to Google Drive and log metadata in Google Sheets Upload video to Blotato Auto-publish to 9 platforms (TikTok, YouTube Shorts, Instagram, LinkedIn, Facebook, Twitter (X), Threads, Bluesky, Pinterest) Send Telegram notification once published 🧰 Setup Before you start, you’ll need: ✅ A Telegram Bot connected to n8n 🔑 An OpenAI API key (Whisper + GPT-5) 🎭 A HeyGen API key for avatar video generation 📂 Google Drive + Sheets integrations for storage & logs 🧩 A Blotato Pro account with API access enabled 📦 Verified Community Nodes enabled in n8n Admin Panel ⚙️ Blotato node installed + credentials configured 📄 A Google Sheet template to log titles, captions, and video links 🛠️ How to customize this workflow Change prompts** → Adjust GPT-5 prompts to fit your tone or brand Select avatars** → Configure HeyGen avatar and voice to match your style Choose platforms** → Activate only TikTok, YouTube, Instagram, etc. Add approvals** → Insert a Telegram or Slack approval step before publishing Extend reporting** → Push analytics or engagement data into Sheets or Notion This workflow transforms a simple voice message into a ready-to-publish viral video — fully automated, consistent, and scalable. 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube