Workflow Templates

Get Daily AI News Briefings in Telegram with Gemini & n8n Tired of sifting through endless articles to stay updated on Artificial Intelligence? This workflow transforms you into an intelligence analyst by automatically fetching the latest AI news, using Google's Gemini to create a professional summary, and delivering a polished briefing directly to your Telegram chat. Stop chasing news and let the insights come to you\! 🚀 🚀 What this workflow does 📰 Monitors an RSS Feed: Automatically triggers whenever a new article is published on the specified AI news feed (artificialintelligence-news.com). 🧠 Scrapes Article Content: Uses Jina AI to read and extract the full, clean text from the article link. 🤖 Generates an AI Report: Leverages the power of the Google Gemini 2.5 Flash model to analyze the article and generate a structured, insightful intelligence briefing based on a specialized prompt. 📨 Delivers to Telegram: Sends the final, perfectly formatted markdown report as a message to your chosen Telegram chat. 🛠️ What you'll need to get started An n8n instance (cloud or self-hosted). Jina AI Credentials: You will need an API key from Jina AI. You can get one from the Jina AI website. Google Gemini Credentials: You'll need an API key for the Gemini model. You can generate one for free from Google AI Studio. Telegram Bot Credentials: You will need a Telegram Bot Token and your destination Chat ID. You can learn how to get these from the n8n Telegram documentation. ⚙️ How to use this workflow Copy the workflow: Click "Use template" to import this workflow into your n8n canvas. Configure Jina AI Node: Select the "Read News from AI News Website" node. In the "Credentials" section, add your Jina AI API key. Configure Gemini Node: Select the "Gemini 2.5 Flash" node on the canvas. In the "Credentials" section, add your Google Gemini API key. Configure Telegram Node: Select the "Send a text message" node. Add your Telegram API credentials. In the "Chat ID" field, enter the specific chat, group, or channel ID where you want to receive the news briefings. Activate the workflow: Hit the "Activate" toggle in the top right corner. Your automated AI analyst is now live\! ✨ Bonus: Expand your intelligence briefing The prompt in the "Generate Report" node is designed to synthesize information from multiple sources. You can easily expand this workflow to create even more comprehensive reports: Add another RSS Feed: Copy the "AI-News Feed" node and change the Feed URL to another source. Connect the Nodes: Drag the output of the new RSS feed node to the "Read News from AI News Website" node. That's it\! The workflow will now process articles from both feeds and the Gemini node will automatically identify common themes and unique stories as instructed in the prompt.

AI Chef Bot is a smart virtual chef built with n8n and Telegram. Users can ask for any dish, and the bot: Generates a detailed recipe (ingredients + step-by-step instructions). Creates a photorealistic restaurant-style plated food image of the dish. Sends both recipe text and food image back on Telegram. 👉 Live Demo Bot: http://t.me/botaichefrobotbot Perfect for food lovers, restaurants, cooking groups, or anyone who wants an interactive AI-powered chef. 🌟 Features 🔗 Telegram Integration – chat with the bot in real time. 🍽 AI Recipe Generator – instant, structured recipes for any dish. 🎨 Text-to-Image AI – turns recipes into beautiful food images. 🍴 Restaurant-Style Plating – elegant ceramic/slate/glass plating only. 📸 Photo-Realistic Images – styled like professional food photography. ⚡ Automated Workflow – no manual steps, everything runs inside n8n. ⚙️ Installation Import this workflow into your n8n instance. Configure your Telegram Bot Token (from BotFather). Configure your OpenRouter API Key for AI text + image generation. Save and activate the workflow. Go to Telegram and send any dish name (e.g., Polpette di pesce). The bot replies with: 📖 A full recipe. 📸 A restaurant-plated realistic food image.

Generate responses for Google Play Store reviews using Anthropic Claude, Google Drive and Google Play Store API This workflow empowers app developers and community management teams by automating the generation and posting of responses to user reviews on the Google Play Store. Designed to streamline the engagement process, it drastically reduces the manual workload on community managers by integrating AI-driven responses with necessary human oversight. By leveraging n8n's workflow automation capabilities, this solution eliminates the need for costly third-party platforms like AppFollow or Appbot, making it a cost-effective and efficient alternative. Pre-requisites Google Drive & Google Sheets access: To store and manage review spreadsheets. Google Play Developer Account / Service account: To fetch and respond to app reviews. LLM credentials (e.g., Anthropic): Required for generating responses. Workflow steps 1. Initialise and trigger workflow: The process begins daily at 10 AM through a scheduled trigger. 2. Fetch application data: Utilizes a data table (Google Play apps) to retrieve a list of applications with their bundle_id and name, essential for identifying review sources. 3. Collect Google Play Reviews: Retrieves previous day's reviews from the Google Play Store based on app data. Stores the reviews in Google Sheets for further processing. 4. Generate AI Responses: AI model generates initial responses based on review content. Responses are structured and stored along with reviews within a Google Spreadsheet located in a Google Drive folder called ToReview. 5. Human Review & Modification: Community managers review and refine AI-generated responses. Reviewed spreadsheets are moved to the ToSubmit Google Drive folder by the editor. 6. Post Verified Responses: Workflow triggers again at 5 PM to access reviewed spreadsheets in ToSubmit folder. It posts the human-verified responses back to the respective reviews on the Google Play Store. Logs are maintained, recording each response's success or failure. 7. Archive processed spreadsheets: After posting the responses, workflow moves the processed files from ToSubmit to a different folder called Archived

This template provides a complete, two-part automation system for exam preparation providers, educators, or content creators to automatically generate unique Multiple-Choice Questions (MCQs) on a specific syllabus, save them to Google Sheets, and publish them as Telegram polls—all on a schedule and driven by Google's Gemini Chat Model. How it Works / What it Does This template consists of two interconnected workflows: Workflow 1: Quiz Generation & Storage A Schedule Trigger starts the quiz generation process periodically. The AI Agent (powered by the Gemini Chat Model) generates a new MCQ based on a specific syllabus or topic (configured in the agent's prompt). The workflow reads all existing quiz data from a Google Sheet (your quiz database). The AI Agent receives the existing quiz data as memory to intelligently check the newly generated question against the existing ones, ensuring the new MCQ is unique and avoids duplication. The new, unique MCQ is added or updated as a new row in the Google Sheet. Workflow 2: Quiz Posting & Status Update A Google Sheets Trigger listens for new rows (the new unique MCQ) being added or updated in the sheet. It reads the newly added quiz data. A Check New Quiz Added node verifies the data is ready to be posted. The validated quiz is posted to your specified Telegram chat as an interactive poll. The workflow immediately updates the corresponding row in the Google Sheet, marking the quiz as "Posted" to prevent accidental reposting. Finally, it triggers the start of Workflow 1 again to generate the next unique quiz, creating a continuous loop of content creation and publishing. Requirements To set up this template, you will need: n8n Account: A running n8n instance (cloud or self-hosted). Google Account: For the Google Sheets Trigger/Nodes and the Google Gemini Chat Model (via the Google services/credentials). Telegram Account: A Telegram Bot Token and the Chat ID where the polls will be posted. How to Set Up This template is designed to be plug-and-play after connecting your credentials. Connect Google Gemini Chat Model: Authenticate the Google Gemini Chat Model node using your Google account and ensure you have access to the Gemini model API. Configure Google Sheets Nodes: Connect to your Google Sheet where the quizzes are stored. Make sure the sheet has columns for the quiz question, options, answer, and a "Status" column (e.g., Posted or New). Configure Telegram Node: Set up the Send Telegram Poll node with your Bot Token and the target Chat ID. Customize AI Agent: Update the AI Agent's prompt with the specific syllabus, topic, and format instructions for your desired MCQs. How to Customize the Workflow Posting Schedule: Adjust the Schedule Trigger in Workflow 1 to control how often new quizzes are generated (e.g., daily, every hour). Difficulty/Format: Modify the AI Agent's prompt to control the difficulty level, number of options, or required answer explanation for the MCQs. Destination: Easily replace the Send Telegram Poll node with other social media nodes (like X/Twitter, Slack, or Discord) to post your MCQs on different platforms.

Instagram & Facebook Video/Reels Downloader Bot (Telegram bot) Once set up, simply send any Instagram Reel or Facebook video link to your Telegram bot, and it will automatically: Check if the shared link is valid. Detect whether it’s an Instagram or Facebook link. Fetch the video using API and scraping methods. Download the video directly from the source. Send the downloaded video (or a message if it’s invalid) right back to your Telegram chat — instantly! How It Works (Node Flow) Telegram Trigger:** Listens for new messages (video/reel links) from users. Regex Node:** Extracts and validates the Instagram/Facebook link format. Conditional Node (If):** Determines whether the link is for Facebook or Instagram. Link Validation Node:** Ensures the provided link is valid and reachable. Instagram Node:** Fetches video metadata via API. Decodes and downloads the Reel. Sends the downloaded video and confirmation message via Telegram. Facebook Node:** Uses scraping/API to get the video source. Generates the downloadable link. Downloads and sends the Facebook video back to Telegram. Error Handling Node:** Sends a custom error message if the link is invalid. Features ✅ Works with both Instagram and Facebook links ✅ Automatically detects the platform and processes accordingly ✅ Delivers the downloaded video directly to your Telegram chat ✅ Handles invalid or broken links gracefully ✅ Clean and modular structure — easy to extend or customize Use Case Perfect for social media managers, content creators, and automation enthusiasts who want a simple Telegram bot to fetch and download Reels or videos without using third-party apps or websites.

Telegram AI Bot Workflow An intelligent Telegram bot powered by Google Gemini AI that provides smart responses to both text messages and images. Features Multi-Modal Input**: Handles both text messages and image uploads AI-Powered Responses**: Uses Google Gemini 2.5 Flash for intelligent reply generation Image Analysis**: Automatically analyzes uploaded images and responds with descriptions Conversation Memory**: Maintains context across 20 messages per conversation Formatted Output**: Delivers well-structured, Telegram-friendly responses How It Works User sends a message (text or image) to the Telegram bot Workflow routes the input based on message type Images are downloaded and analyzed using Gemini Vision AI AI agent processes the input with conversation context Formatted response is sent back to the user instantly Requirements Telegram Bot Token (from @BotFather) Google Gemini API Key n8n instance with webhook capability Perfect for building interactive AI assistants, customer support bots, or educational tools on Telegram.

Complete Template Description Automate LinkedIn Sales Navigator contact extraction to Google Sheets This workflow scrapes LinkedIn Sales Navigator search results and automatically saves contact details to Google Sheets with pagination support and rate limiting protection. Who's it for Sales teams, recruiters, and business development professionals who need to extract and organize LinkedIn contact data at scale without manual copy-pasting. What it does The workflow connects to a LinkedIn scraping API to fetch contact information from Sales Navigator search results. It handles pagination automatically, extracts contact details (name, title, company, location, profile URL), and appends them to a Google Sheet. Built-in rate limiting (30-60 second delays) prevents API blocks and mimics natural browsing behavior. Requirements Self-hosted n8n instance** (this workflow will NOT work on n8n Cloud due to cookie requirements and third-party API usage) LinkedIn Sales Navigator account Google Sheets account EditThisCookie browser extension API access from the creator (1 month free trial available) How to set up Step 1: Get API Access Email the creator to request 1 month of free API access using the link in the workflow. You'll receive your API key within 24 hours. Step 2: Configure API Authentication Click the "Scrape LinkedIn Contacts API" node Under Authentication, select "Header Auth" Create new credential with Name: x-api-key and your received API key as the Value Save the credential Step 3: Extract LinkedIn Cookies Install the EditThisCookie extension Navigate to LinkedIn Sales Navigator Click the cookie icon in your browser toolbar Click "Export" and copy the cookie data Paste into the cookies field in the "Set Search Parameters" node Step 4: Configure Your Search In the "Set Search Parameters" node, update: cookies: Your exported LinkedIn cookies url: Your LinkedIn Sales Navigator search URL total_pages: Number of pages to scrape (default: 2, each page = ~25 contacts) Step 5: Set Up Google Sheets Make a copy of the template Google Sheet (or create your own with matching column headers) In the "Save Contacts to Google Sheets" node, connect your Google Sheets account Select your destination spreadsheet and sheet name Important Security Note: Keep your LinkedIn cookies private. Never share them with others or commit them to public repositories. Customization options Adjust total_pages to control how many contacts you scrape Modify the delay in "Rate Limit Delay Between Requests" node (default: 30-60 seconds random) - do not lower this to avoid API blocks Customize which contact fields to save in the Google Sheets column mapping Change the search URL to target different prospect segments or filters

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This n8n workflow template helps you automatically convert unstructured contact information—such as customer details copied from emails, web forms, or chat messages—into clean, structured JSON using an AI agent. What It Does: Accepts unstructured contact data via a Webhook (as form-data under the key prompt) Uses AI to intelligently extract key fields such as: Company Name First Name Last Name Address City Country Phone Fax Email Parses and formats the extracted data into a valid JSON object Prepares the output for seamless integration into systems like: Dolibarr Other ERP/CRM platforms Any service that consumes JSON via API or webhook Use Cases: Automate manual data entry from emails into your ERP system Clean and normalize contact data from various input sources Reduce human error in your customer onboarding workflows This template saves you time and ensures consistency across your business systems. Simply connect your systems and let the automation handle the rest.

CTO Agent with Engineering Team Description Complete AI-powered engineering department with a Chief Technology Officer (CTO) agent orchestrating specialized engineering team members for comprehensive software development and technical operations. Overview This n8n workflow creates a comprehensive engineering department using AI agents. The CTO agent analyzes technical requests and delegates tasks to specialized agents for software architecture, DevOps, security, quality assurance, backend development, and frontend development. Features Strategic CTO agent using OpenAI O3 for complex technical decision-making Six specialized engineering agents powered by GPT-4.1-mini for efficient execution Complete software development lifecycle coverage from architecture to deployment Automated DevOps pipelines and infrastructure management Security assessments and compliance frameworks Quality assurance and test automation strategies Full-stack development capabilities Team Structure CTO Agent**: Technical leadership and strategic delegation (O3 model) Software Architect Agent**: System design, patterns, technology stack decisions DevOps Engineer Agent**: CI/CD pipelines, infrastructure automation, containerization Security Engineer Agent**: Application security, vulnerability assessments, compliance QA Test Engineer Agent**: Test automation, quality strategies, performance testing Backend Developer Agent**: Server-side development, APIs, database architecture Frontend Developer Agent**: UI/UX development, responsive design, frontend frameworks How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send technical requests via chat (e.g., "Design a scalable microservices architecture for our e-commerce platform") The CTO will analyze and delegate to appropriate specialists Receive comprehensive technical deliverables Use Cases Full Stack Development**: Complete application architecture and implementation System Architecture**: Scalable designs for microservices and distributed systems DevOps Automation**: CI/CD pipelines, containerization, cloud deployment strategies Security Audits**: Vulnerability assessments, secure coding practices, compliance Quality Assurance**: Test automation frameworks, performance testing strategies Technical Documentation**: API documentation, system diagrams, deployment guides Requirements n8n instance with LangChain nodes OpenAI API access (O3 for CTO, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with development tools and platforms Cost Optimization O3 model used only for strategic CTO decisions GPT-4.1-mini provides 90% cost reduction for specialist tasks Parallel processing enables simultaneous agent execution Code template library reduces redundant development work Integration Options Connect to development platforms (GitHub, GitLab, Bitbucket) Integrate with project management tools (Jira, Trello, Asana) Link to monitoring and logging systems Export to documentation platforms Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #SoftwareEngineering #TechStack #DevOps #SecurityFirst #QualityAssurance #FullStackDevelopment #Microservices #CloudNative #TechLeadership #EngineeringAutomation #n8n #OpenAI #MultiAgentSystem #EngineeringExcellence #DevAutomation #TechInnovation

This workflow automates the entire process of creating, managing, and publishing AI-generated videos using OpenAI Sora2 Pro, Google Sheets, Google Drive, and YouTube. Advantages ✅ Fully Automated Video Pipeline From idea to YouTube publication with zero manual intervention after setup. ✅ Centralized Control via Google Sheets Simple spreadsheet interface — no need to use APIs or dashboards directly. ✅ AI-Powered Video Creation Uses OpenAI Sora2 Pro for generating professional-quality videos from text prompts. ✅ SEO-Optimized Titles with GPT-5 Automatically creates catchy, keyword-rich titles optimized for YouTube engagement. ✅ Cloud Integration Seamless use of Google Drive for file management and YouTube for publishing. ✅ Scalable and Repeatable Can handle multiple videos in sequence, triggered manually or at regular intervals. ✅ Error-Resilient and Transparent Uses conditional checks (“Completed?” node) and real-time updates in Google Sheets to ensure reliability and visibility. How it Works This workflow automates the entire process of generating AI videos and publishing them to YouTube, using a Google Sheet as the central control panel. Trigger & Data Fetch: The workflow is triggered either manually or on a schedule. It starts by reading a specific Google Sheet to find new video requests. A new request is identified as a row where the "PROMPT" and "DURATION" columns are filled, but the "VIDEO" column is empty. AI Video Generation: For each new request, it takes the prompt and duration, then sends a request to the Fal.ai Sora-2 Pro model via its API to generate the video. The system then enters a polling loop, checking the video generation status every 60 seconds until it is COMPLETED. Post-Processing & Upload: Once the video is ready, the workflow performs three parallel actions: Fetch Video & Upload to Drive: It retrieves the generated video file and uploads it to a specified folder in Google Drive for archiving. Generate YouTube Title: It sends the original prompt to OpenAI's GPT-5 (or another specified model) to generate an optimized, SEO-friendly title for the YouTube video. Publish to YouTube: It takes the generated video file and the AI-created title and uses the Upload-Post.com service to automatically publish the video to a connected YouTube channel. Update & Log: Finally, the workflow updates the original Google Sheet row with the URL of the archived video in Google Drive and the newly created YouTube video URL, providing a complete audit trail. Set up Steps To configure this workflow, follow these steps: Prepare the Google Sheet: Create a Google Sheet with at least these columns: PROMPT, DURATION, VIDEO, and YOUTUBE_URL. In the n8n "Get new video" and update nodes, configure the documentId and sheetName to point to your specific Google Sheet. Configure Fal.ai API Key: Create an account on fal.ai and obtain your API key. In both the "Create Video" and "Get status" HTTP Request nodes, set up the HTTP Header Authentication. Set the Name to Authorization and the Value to Key YOUR_API_KEY. Set up Upload-Post.com for YouTube: Create an account on Upload-Post.com and get your API key. Connect your YouTube channel as a "profile". In the "HTTP Request" node (for uploading), configure the Header Auth with Name: Authorization and Value: Apikey YOUR_UPLOAD_POST_API_KEY. Replace YOUR_USERNAME in the node's body parameters with the profile name you created on Upload-Post.com (e.g., test1). Configure OpenAI (Optional but Recommended): The "Generate title" node uses an OpenAI model. Ensure you have valid OpenAI API credentials set up in n8n for this node to function and create optimized titles. Finalize Paths and Activate: In the "Upload Video" node, specify the correct Google Drive folder ID where you want the videos to be saved. Once all credentials and paths are set, you can activate the workflow and set the "Schedule Trigger" node to run at your desired interval (e.g., every 5 minutes). Need help customizing? Contact me for consulting and support or add me on Linkedin.

✅ What problem does this workflow solve? Salon staff often spend hours juggling appointment calls, managing bookings manually, and keeping track of customer preferences. This workflow automates your entire salon appointment system via WhatsApp, delivering a personalized and human-like booking experience using AI, memory, and Google Sheets. 💡 Main Use Cases 💁‍♀️ Offer personalized stylist recommendations by remembering customer preferences and past visits. 📅 Provide real-time availability and salon opening hour information. 📝 Book and update appointments directly from customer chat. 🔁 Simplify appointment changes by recalling previous booking details. 🧠 Enable context-aware, memory-driven conversations across multiple interactions. 🧠 How It Works – Step-by-Step 1. 📲 Chat Message Trigger The workflow is triggered whenever a customer sends a message to your WhatsApp salon assistant. 2. 🧠 Memory Buffer for Context Management The assistant uses a Memory Buffer to: Recognize returning customers Avoid repeating questions Maintain conversation flow across multiple sessions This enables a seamless and intelligent dialogue with each customer. 3. 💇 Stylist & Service Lookup When the customer asks for stylist suggestions, available time slots, or services: Extracts request details using AI Queries a Google Sheet containing: Stylist availability Service types Salon opening hours Returns personalized recommendations based on preferences and availability 4. ✅ Appointment Booking Collects all necessary info: Date, time, selected service, stylist, contact info Stores the appointment in Google Sheets Sends a confirmation message to the customer in WhatsApp 5. 🔄 Modify or Cancel Bookings Customers can update or cancel appointments Bot matches records by phone number Modifies or deletes the appointment in the sheet accordingly 🧩 Integrations Used WhatsApp Integration** (via Twilio, Meta API, or other connector) OpenAI/GPT Model** for natural conversation flow and extraction Google Sheets** as a simple and effective appointment database Memory Buffer** for ongoing context across chats 👤 Who can use this? Perfect for: 💇‍♀️ Salons and barbershops 💅 Spas and beauty centers 🧖‍♀️ Wellness studios 🛠 Developers building vertical AI assistants for SMBs If you're looking to modernize your booking process and impress customers with an AI-powered, memory-enabled WhatsApp bot—this workflow delivers. 🚀 Benefits ⏰ Save time for your staff 🧠 Offer truly personalized experiences 📲 Book appointments 24/7 via WhatsApp 📋 Keep all records organized in Google Sheets 🧘 Reduce human error and double bookings 📦 Ready to Launch? Just configure: ✅ Your WhatsApp number + webhook integration ✅ Google Sheet with stylist and service data ✅ OpenAI key for AI-powered conversation ✅ Memory Buffer to enable smart replies And your salon will be ready to offer automated, intelligent booking—right from a simple WhatsApp chat.

Summary Onfleet is a last-mile delivery software that provides end-to-end route planning, dispatch, communication, and analytics to handle the heavy lifting while you can focus on your customers. This workflow template listens to Onfleet driver sign-up events and automatically notifies you on Slack. Configurations Update the Onfleet node with your own Onfleet credentials, to register for an Onfleet API key, please visit https://onfleet.com/signup to get started Update the Slack node with your own Slack credentials Update the Slack channel to something that exists in your Slack workspace, the default is set to #new-driver-signup in this example which may not apply to your workspace Update the Slack message to something customized, ideally with driver information such as phone number and name