by Yaron Been
This workflow provides automated access to the Aihilums Sehatsanjha AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Aihilums Sehatsanjha model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Aihilums/sehatsanjha AI model Aihilums Sehatsanjha**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Davide
This workflow is designed to intelligently route user queries to the most suitable large language model (LLM) based on the type of request received in a chat environment. It uses structured classification and model selection to optimize both performance and cost-efficiency in AI-driven conversations. It dynamically routes requests to specialized AI models based on content type, optimizing response quality and efficiency. Benefits Smart Model Routing**: Reduces costs by using lighter models for general tasks and reserving heavier models for complex needs. Scalability**: Easily expandable by adding more request types or LLMs. Maintainability**: Clear logic separation between classification, model routing, and execution. Personalization**: Can be integrated with session IDs for per-user memory, enabling personalized conversations. Speed Optimization**: Fast models like GPT-4.1 mini or Gemini Flash are chosen for tasks where speed is a priority. How It Works Input Handling: The workflow starts with the "When chat message received" node, which triggers the process when a chat message is received. The input includes the chat message (chatInput) and a session ID (sessionId). Request Classification: The "Request Type" node uses an OpenAI model (gpt-4.1-mini) to classify the incoming request into one of four categories: general: For general queries. reasoning: For reasoning-based questions. coding: For code-related requests. google: For queries requiring Google tools. The classification is structured using the "Structured Output Parser" node, which enforces a consistent output format. Model Selection: The "Model Selector" node routes the request to one of four AI models based on the classification: Opus 4 (Claude 4 Sonnet): Used for coding requests. Gemini Thinking Pro: Used for reasoning requests. GPT 4.1 mini: Used for general requests. Perplexity: Used for search (Google-related) requests. AI Processing: The selected model processes the request via the "AI Agent" node, which includes intermediate steps for complex tasks. The "Simple Memory" node retains session context using the provided sessionId, enabling multi-turn conversations. Output: The final response is generated by the chosen model and returned to the user. Set Up Steps Configure Trigger: Ensure the "When chat message received" node is set up with the correct webhook ID to receive chat inputs. Define Classification Logic: Adjust the prompt in the "Request Type" node to refine classification accuracy. Verify the output schema in the "Structured Output Parser" node matches expected categories (general, reasoning, coding, google). Connect AI Models: Link each model node (Opus 4, Gemini Thinking Pro, GPT 4.1 mini, Perplexity) to the "Model Selector" node. Ensure credentials (API keys) for each model are correctly configured in their respective nodes. Set Up Memory: Configure the "Simple Memory" node to use the sessionId from the input for context retention. Test Workflow: Send test inputs to verify classification and model routing. Check intermediate outputs (e.g., request_type) to ensure correct model selection. Activate Workflow: Toggle the workflow to "Active" in n8n after testing. Need help customizing? Contact me for consulting and support or add me on Linkedin.
by Oneclick AI Squad
This guide details the setup and functionality of an automated workflow designed to monitor the health, uptime, and SLA compliance of travel supplier APIs, specifically the Amadeus Flight API and Booking.com Hotel API. The workflow runs every 10 minutes, processes health and SLA data, and sends alerts or logs based on the status. What It Monitors API Health**: UP/DOWN status with health indicators. Uptime Tracking**: Real-time availability percentage. SLA Compliance**: Automatic breach detection and alerts. Performance Rating**: Classified as EXCELLENT, GOOD, AVERAGE, or POOR. Features Runs every 10 minutes automatically. Monitors the Amadeus Flight API with a 99.5% SLA target. Monitors the Booking.com Hotel API with a 99.0% SLA target. Smart Alerts that notify via WhatsApp only on SLA breaches. Logging of results for both breaches and normal status. Workflow Steps Monitor Schedule**: Triggers the workflow every 10 minutes automatically. Amadeus Flight API**: Tests the Amadeus Flight API (GET: https://api.amadeus.com) simultaneously. Booking Hotel API**: Tests the Booking.com Hotel API (GET: https://distribution-xml.booking.com) simultaneously. Calculate Health & SLA**: Processes health, uptime, and SLA data. Alert Check**: Routes to appropriate responses based on breach status. SLA Breach Alert**: Sends an alert with throwError if an SLA breach occurs. Normal Status Log**: Records results with throwError for healthy status. Send Message**: Sends a WhatsApp message for breach alerts. How to Use Copy the JSON configuration of the workflow. Import it into your n8n workspace. Activate the workflow. Monitor results in the execution logs and WhatsApp notifications. The workflow will automatically start tracking your travel suppliers and alert you via WhatsApp only when SLA thresholds are breached. Please double-check responses to ensure accuracy. Requirements n8n account and instance setup. API credentials for Amadeus Flight API (e.g., https://api.amadeus.com). API credentials for Booking.com Hotel API (e.g., https://distribution-xml.booking.com). WhatsApp integration for sending alerts. Customizing this Workflow Adjust the Monitor Schedule interval to change the frequency (e.g., every 5 or 15 minutes). Modify SLA targets in the Calculate Health & SLA node to align with your service agreements (e.g., 99.9% for Amadeus). Update API endpoints or credentials in the Amadeus Flight API and Booking Hotel API nodes for different suppliers. Customize the Send Message node to integrate with other messaging platforms (e.g., Slack, email). Enhance the Normal Status Log to include additional metrics or export logs to a database.
by Yaron Been
This workflow provides automated access to the Vcollos Trefilio AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Vcollos Trefilio model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Vcollos/trefilio AI model Vcollos Trefilio**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Yassin Zehar
Context: This workflow automatically sends you a daily message on Telegram summarizing all your meetings and events for the day, straight from your Google Calendar. For who ? Perfect for anyone who: Uses Google Calendar to manage their schedule. Wants Telegram reminders for daily events. Loves automation and productivity tools. Requirements: Telegram. Google account. Google Calendar. Steps: 🗒️ Use the sticky notes in the n8n canvas to: Add your Telegram and Google credentials. Execute and test the workflow. Check if you receive your daily summary on Telegram. You'll get this: Tutorial video: Watch the Youtube Tutorial video How does it work? ⏰ The trigger runs every day at 7AM. 📅 Your Google Calendar is checked. 🔢 If there are events or meetings, a number > 0 is returned. Otherwise, it's 0. 📝 A text message is generated with a summary of all your events, including all relevant details. ❌ If no events are found, a "no event" message is sent. About me : I'm Yassin, IT Project Manager, Agile & Data specialist. Scaling tech products with data-driven project management. 📬 Feel free to connect with me on Linkedin
by Oneclick AI Squad
This automated n8n workflow continuously tracks real-time flight fare changes by querying airline APIs (e.g., Amadeus, Skyscanner). It compares new prices with historical fares and sends instant notifications to users when a fare drop is detected. All tracked data is structured and logged for audit and analysis. Key Insights Works post-booking to track price fluctuations for booked routes. Supports multiple fare sources for improved accuracy and comparison. Users are notified instantly via email, SMS, or Slack for high-value drops. Historical pricing data is stored for trend analysis and refund eligibility checks. Can be extended to monitor specific routes or apply airline-specific refund rules. Workflow Process Schedule Trigger Initiates the fare check every 6 hours. Fetch Flight Fare Data Queries APIs (Amadeus, Skyscanner) for current flight fares. Get Tracked Bookings Retrieves tracked routes from the internal database. Compare Fares Detects price drops compared to original booking fares. Update Fare History Table Logs the new fare and timestamp into the fare_tracking table. Classify Drops Determines priority based on absolute and percentage savings. Notify Users Email Alerts: For all medium/high priority drops. SMS Alerts: For savings > \$100 or >15%. Slack Notifications: For internal alerts and rebooking suggestions. Log Activity Stores all sync actions and notifications in fare_alert_logs. Usage Guide Import** the workflow into your n8n instance. Set up** API credentials for Amadeus and Skyscanner. Configure email, SMS (Twilio), and Slack credentials. Update the booking database with valid records (with route, fare, timestamp). Set schedule frequency (e.g., every 6 hours). Review logs regularly to monitor fare alert activity and system health. Prerequisites Valid accounts and credentials for: Amadeus API Skyscanner API SendGrid (or SMTP) for email Twilio for SMS Slack workspace & bot token PostgreSQL or MySQL database for fare tracking Tracked booking dataset (with routes, fares, and user contacts) Customization Options Adjust alert thresholds in the comparison logic (e.g., trigger only if fare drops > \$50 or >10%). Add new notification channels (e.g., WhatsApp, Telegram). Extend logic to track multi-leg or roundtrip fares. Integrate airline refund APIs (where supported) to auto-initiate refund or credit requests. Excel Output Columns When exporting or logging fare tracking data to Excel or CSV, use the following structure: | flight\_number | airline | departure | arrival | departure\_time | arrival\_time | current\_fare | route | timestamp | | -------------- | --------------- | ---------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------- | ------- | ------------------------ | | AT5049 | Royal Air Maroc | John F Kennedy International | Los Angeles International | 2025-07-21T06:00:00+00:00 | 2025-07-21T08:59:00+00:00 | 235 | JFK-LAX | 2025-07-21T13:04:14.000Z | | BA1905 | British Airways | John F Kennedy International | Los Angeles International | 2025-07-21T06:00:00+00:00 | 2025-07-21T08:59:00+00:00 | 479 | JFK-LAX | 2025-07-21T13:04:14.000Z |
by Harsh Maniya
📱🤖 Create Stunning AI Images Directly from WhatsApp with Gemini This workflow transforms your WhatsApp into a personal AI image generation studio. Simply send a text message with your idea, and this bot will use the advanced prompt engineering capabilities of Gemini 2.5 Pro to craft a detailed, artistic prompt. It then uses Gemini 2.0 Flash to generate a high-quality image from that prompt and sends it right back to your chat. It's a powerful yet simple way to bring your creative ideas to life, all from the convenience of your favorite messaging app\! What this workflow does Listens for WhatsApp Messages: The workflow starts automatically when you send a message to your connected WhatsApp number. Enhances Your Idea with AI: It takes your basic text (e.g., "a knight on a horse") and uses Gemini 2.5 Pro to expand it into a rich, detailed prompt perfect for image generation (e.g., "A cinematic, full-body shot of a stoic knight in gleaming, ornate silver armor, riding a powerful black warhorse through a misty, ancient forest. The scene is lit by ethereal morning sunbeams piercing the canopy, creating dramatic volumetric lighting and long shadows. Photorealistic, 8K, ultra-detailed, award-winning fantasy concept art."). Generates a Unique Image: It sends this enhanced prompt to the Google Gemini 2.0 Flash image generation API. Prepares the Image: The API returns the image in Base64 format, and the workflow instantly converts it into a binary file. Sends it Back to You: The final, high-quality image is sent directly back to you in the same WhatsApp chat. Nodes Used 🟢 WhatsApp Trigger: The entry point that listens for incoming messages. 🧠 LangChain Chain (LLM): Uses Gemini 2.5 Pro for advanced prompt engineering. ➡️ HTTP Request: Calls the Google Gemini 2.0 Flash API to generate the image. 🔄 Convert to File: Converts the Base64 image data into a sendable file format. 💬 WhatsApp: Sends the final image back to the user. Prerequisites To use this workflow, you will need: An n8n instance. A WhatsApp Business Account connected to n8n. You can find instructions on how to set this up in the n8n docs. A Google Gemini API Key. You can get one for free from Google AI Studio. How to use this workflow Get your Google Gemini API Key: Visit the Google AI Studio and create a new API key. Configure the Gemini 2.5 Pro Node: In the n8n workflow, select the Gemini 2.5 Pro node. Under 'Connect your account', click 'Create New' to add a new credential. Paste your Gemini API key from the previous step and save. Configure the Generate Image (HTTP Request) Node: Select the Generate Image node. In the properties panel on the right, find the Query Parameters section. In the 'Value' field for the key parameter, replace "Your API Key" with your actual Google Gemini API Key. Connect WhatsApp: Select the WhatsApp Trigger node. Follow the instructions to connect your WhatsApp Business Account credential. If you haven't created one, the node will guide you through the process. Activate and Test: Save the workflow using the button at the top right. Activate the workflow using the toggle switch. Send a message to your connected WhatsApp number (e.g., "A futuristic city in the style of Van Gogh"). The bot will process your request and send a stunning AI-generated image right back to you\!
by keisha kalra
Try It Out! This n8n template helps you create SEO-optimized Blog Posts for your businesses website or for personal use. Whether you're managing a business or helping local restaurants improve their digital presence, this workflow helps you build SEO-Optimized Blog Posts in seconds using Google Autocomplete and People Also Ask (SerpAPI). Who Is It For? This is helpful for people looking to SEO Optimize either another person's website or their own. How It Works? You start with a list of blog inspirations in Google Sheets (e.g., “Best Photo Session Spots”). The workflow only processes rows where the “Status” column is not marked as “done”, though you can remove this condition if you’d like to process all rows each time. The workflow pulls Google Autocomplete suggestions and PAA questions using: A custom-built SEO API I deployed via Render (for Google Autocomplete + PAA), SerpAPI (for additional PAA data). These search insights are merged. For example, if your blog idea is “Photo Session Spots,” the workflow gathers related Google search phrases and questions users are asking. Then, GPT-4 is used to draft a full blog post based on this data. The finished post is saved back into your Google Sheet. How To Use Fill out the “Blog Inspiration” column in your Google Sheet with the topics you want to write about. Update the OpenAI prompt in the ChatGPT node to match your tone or writing style. (Tip: Add a system prompt with context about your business or audience.) You can trigger this manually, or replace it with a cron schedule, webhook, or other event. Requirements A SerpAPI account to get PAA An OpenAI account for ChatGPT Access to Google Sheets and n8n How To Set-Up? Your Google Sheet should have three columns: "Blog Inspiration", "Status" → set this to “done” when a post has been generated, "Blog Draft" → this is automatically filled by the workflow. To use the SerpAPI HTTP Request node: 1. Drag in an HTTP Request node, 2. Set the Method and URL depending on how you're using SerpAPI: Use POST to run the actor live on each request. Use GET to fetch from a static dataset (cheaper if reusing the same data). 3. Add query parameters for your SerpAPI key and input values. 4. Test the node. Refer to this n8n documentation for more help! https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolserpapi/. The “Autocomplete” node connects to a custom web service I built and deployed using Render. I wrote a Python script (hosted on GitHub) that pulls live Google Autocomplete suggestions and PAA questions based on any topic you send. This script was turned into an API and deployed as a public web service via Render. Anyone can use it by sending a POST request to: https://seo-api2.onrender.com/get-seo-data (the URL is already in the node). Since this is hosted on Render’s free tier, if the service hasn’t been used in the past ~15 minutes, it may “go to sleep.” When that happens, the first request can take 10–30 seconds to respond while it wakes up. Happy Automating!
by Yaron Been
This workflow provides automated access to the Moicarmonas 2Ndmoises_Generator AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Moicarmonas 2Ndmoises_Generator model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Moicarmonas/2ndmoises_generator AI model Moicarmonas 2Ndmoises_Generator**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Yaron Been
This workflow automatically analyzes competitor content performance across various platforms to understand what content resonates with their audience. It saves you time by eliminating the need to manually track competitor content and provides insights into successful content strategies and engagement patterns. Overview This workflow automatically scrapes competitor websites, blogs, and social media to analyze content performance metrics including engagement rates, shares, comments, and audience response. It uses Bright Data to access competitor content without restrictions and AI to intelligently analyze performance data and extract actionable insights. Tools Used n8n**: The automation platform that orchestrates the workflow Bright Data**: For scraping competitor content platforms without being blocked OpenAI**: AI agent for intelligent content performance analysis Google Sheets**: For storing competitor content analysis and performance metrics How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Bright Data: Add your Bright Data credentials to the MCP Client node Set Up OpenAI: Configure your OpenAI API credentials Configure Google Sheets: Connect your Google Sheets account and set up your content analysis spreadsheet Customize: Define competitor URLs and content performance tracking parameters Use Cases Content Strategy**: Learn from high-performing competitor content to improve your own strategy Competitive Analysis**: Track competitor content trends and audience engagement patterns Content Optimization**: Identify content types and topics that drive the most engagement Market Research**: Understand what content resonates with your target audience Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #competitoranalysis #contentperformance #brightdata #webscraping #contentmarketing #n8nworkflow #workflow #nocode #contentanalysis #competitormonitoring #contentresearch #engagementanalysis #marketresearch #contentintelligence #competitiveintelligence #contentoptimization #performancetracking #contentmetrics #marketanalysis #contentaudit #brandanalysis #contentstrategy #digitalmarketing #contentinsights #socialmediaanalysis #contentmonitoring #performanceanalysis #competitorresearch
by Alejandro AR
This simple workflow will fetch a YouTube playlist every n minutes and send the new items s to a collection in Raindrop. You can connect any application at the end of the flow. Make sure to authenticate to YouTube using Google Auth, and to Raindrop using an API. Update the Playlist ID and the Raindrop collection.
by Jan Oberhauser
Trigger on new Typeform form submission Get existing spreadsheet-file from NextCloud Read data from file into flow Append a new row to flow-data Convert flow-data to a spreadsheet-file Save updated spreadsheet-file to NextCloud Assumptions Spreadsheet file Named: Problems.xls in folder "examples". Columns Names: Name Email Severity Problem Typeform Typeform formular with questions named exactly like the columns of the Google Sheet.