Can Google Gemini Chat Model connect with Telegram?

Yes, Google Gemini Chat Model can connect with Telegram using n8n.io. With n8n, you can create workflows that automate tasks and transfer data between Google Gemini Chat Model and Telegram. Configure nodes for Google Gemini Chat Model and Telegram in the n8n interface, specifying actions and triggers to set up their connection.

Can I use Google Gemini Chat Model’s API with n8n?

Yes, with n8n, you can programmatically interact with Google Gemini Chat Model’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Can I use Telegram’s API with n8n?

Yes, with n8n, you can programmatically interact with Telegram’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Is n8n secure for integrating Google Gemini Chat Model and Telegram?

Yes, it is safe to use n8n to integrate Google Gemini Chat Model and Telegram. n8n offers various features to ensure the safe handling of your data. These include encrypted data transfers, secure credential storage, RBAC functionality, and compliance with industry-standard security practices (SOC2 compliant). For hosted plans, data is stored within the EU on servers located in Frankfurt, Germany. You can also host it on your own infrastructure for added control. Learn more about n8n’s security practices here.

How to get started with Google Gemini Chat Model and Telegram integration in n8n.io?

To start integrating Google Gemini Chat Model and Telegram in n8n, you have different options depending on how you intend to use it: n8n Cloud: hosted solution, no need to install anything. Self-host: recommended method for full-control or customized use cases. Unlike other platforms that charge per operation, step, or task, n8n charges only for full workflow executions. This approach guarantees predictable costs and scalability, no matter the complexity or volume of your workflows.

Google Gemini Chat Model and Telegram: Automate Workflows with n8n

+3

Nutrition Tracker & Meal Logger with Telegram, Gemini AI and Google Sheets

🤖🥗 Telegram Nutrition AI Assistant (Alternative to Cal AI App) > AI-powered nutrition assistant for Telegram — log meals, set goals, and get personalized daily reports with Google Sheets integration. 📋 Description This n8n template creates a Telegram-based Nutrition AI Assistant 🥑🔥 designed as an open-source alternative to the Cal AI mobile app. It allows users to interact with an AI agent via text, voice, or images to track meals, calculate macros, and monitor nutrition goals directly from Telegram. The system integrates Google Sheets as the database, handling both user profiles and meal logs, while leveraging Gemini AI for natural conversation, food recognition, and daily progress reports. ✨ Key Features 💬 Multi-input support: Text, voice messages (transcribed), and food images (AI analysis). 📊 Macro calculation: Automatic estimation of calories, proteins, carbs, and fats. 📝 User-friendly registration: Simple onboarding without storing personal health data (no weight/height required). 🎯 Goal tracking: Users can set and update calorie and protein targets. 📈 Daily reports: Personalized progress messages with visual progress bars. 🗂 Google Sheets integration: Profile table for user targets. Meals table for food logs. 🔄 Advanced n8n nodes: Includes use of Merge, Subworkflow, and Code nodes for data processing and report generation. 💡 Acknowledgment Inspired by the Cal AI concept 💡 — this template demonstrates how to reproduce its main functionality with n8n, Telegram, and AI agents as a flexible, open-source automation workflow. 🏷 Tags telegram ai-assistant nutrition meal-tracking google-sheets food-logging voice-transcription image-analysis daily-reports n8n-template merge-node subworkflow-node code-node telegram-trigger google-gemini 💼 Use Case Use this template if you want to: 🥗 Log meals using text, images, or voice messages. 📊 Track nutrition goals (calories, proteins) with daily progress updates. 🤖 Provide a chat-based nutrition assistant without building a full app. 🗂 Store structured nutrition data in Google Sheets for easy access and analysis. 💬 Example User Interactions 📸 User sends a photo of a meal → AI analyzes the food and logs calories/macros. 🎤 User sends a voice message → AI transcribes and logs the meal. ⌨️ User types “report” → AI returns a daily nutrition summary with progress bars. 🥅 User says “update my protein goal” → AI updates profile in Google Sheets. 🔑 Required Credentials Telegram Bot API (Bot Token) Google Sheets API credentials AI Provider API (Google Gemini or compatible LLM) ⚙️ Setup Instructions 🗂 Create two Google Sheets tables: Profile: User_ID, Name, Calories_target, Protein_target Meals: User_ID, Date, Meal_description, Calories, Proteins, Carbs, Fats 🔌 Configure the Telegram Trigger with your bot token. 🤖 Connect your AI provider credentials (Gemini recommended). 📑 Connect Google Sheets with your credentials. ▶️ Deploy the workflow in n8n. 🎯 Start interacting with your nutrition assistant via Telegram. 📌 Extra Notes 🟩 Green section: Handles Telegram trigger and user check. 🟥 Red section: Registers new users and sets goals. 🟦 Blue section: Processes text, voice, and images. 🟨 Yellow section: Generates nutrition reports. 🟪 Purple section: Main AI agent controlling tools and logic. 💡 Need Assistance? If you’d like help customizing or extending this workflow, feel free to reach out: 📧 Email: [email protected] 🔗 LinkedIn: John Alejandro Silva Rodríguez

Free AI Image Generator - n8n Automation Workflow with Gemini/ChatGPT

This n8n template demonstrates how to use AI to generate custom images from scratch - fully automated, prompt-driven, and ready to deploy at scale. Use cases are many: You can use it for marketing visuals, character art, digital posters, storyboards, or even daily image generation for your personal purposes. How It Works The flow is triggered by a chat message in N8N or via Telegram. The default image size is 1080 x 1920 pixels. To use a different size, update the values in the “Fields - Set Values” node before triggering the workflow. The input is parsed into a clean, structured prompt using a multi-step transformation process. Our AI Agent sends the final prompt to Google Gemini’s image model for generation (you can also integrate with OpenAI or other chat models). The raw image data created by the AI Agent will be run through a number of codes to make sure it's feasible for your preview if needed and downloading. Then, we use an HTTP node to fetch the result so you can preview the image. You can send it back to the chat message in N8N or Telegram, or save it locally to your disk. How To Use Download the workflow package. Import the package into your N8N interface. Set up the credentials in the following nodes for tool access and usability: "Telegram Trigger"; "AI Agent - Create Image From Prompt"; "Telegram Response" or "Save Image To Disk" (based on your wish). Activate the "Telegram Response" OR "Save Image To Disk" node to specify where you want to save your image later. Open the chat interface (via N8N or Telegram). Type your image prompt or detailed descriptions and send. Wait for the process to run and finish in a few seconds. Check the result in your desired saving location. Requirements Google Gemini account with image generation access. Telegram bot access and chat setup (optional). Connection to local storage (optional). How To Customize We’re setting the default image size to 1080 x 1920 pixels and the default image model to "flux". You can customize both of these values in the “Fields – Set Values” node. Supported image model options include: "flux", "kontext", "turbo", and "gptimage". In the “AI Agent – Create Image From Prompt” node, you can also change the AI chat model. By default, it uses Google Gemini, but you can easily replace it with OpenAI ChatGPT, Microsoft AI Copilot, or any other compatible provider. Need Help? Join our community on different platforms for support, inspiration and tips from others. Website: https://www.agentcircle.ai/ Etsy: https://www.etsy.com/shop/AgentCircle Gumroad: http://agentcircle.gumroad.com/ Discord Global: https://discord.gg/d8SkCzKwnP FB Page Global: https://www.facebook.com/agentcircle/ FB Group Global: https://www.facebook.com/groups/aiagentcircle/ X: https://x.com/agent_circle YouTube: https://www.youtube.com/@agentcircle LinkedIn: https://www.linkedin.com/company/agentcircle

Create an AI content agent with Telegram, Gemini, and Blotato (no-code)

Description Automatically turn a simple Telegram message into fully researched, AI-generated visual content and publish it to multiple social platforms using Blotato — with async processing control and built-in status validation. This workflow creates a complete: Telegram → AI → Research → Visual → Publish → Confirm automation pipeline. Who is this for? This template is ideal for: Content creators automating daily posting Solopreneurs building a 24/7 AI content engine Agencies managing multiple social accounts AI automation builders integrating Telegram + Blotato Teams that want a Chat → Publish pipeline If you want to control your entire content system from a single Telegram chat, this workflow is for you. What problem is this workflow solving? Manual content production usually requires: Researching topics manually Switching between AI writing tools and design tools Waiting for rendering without clear status updates Posting separately to each platform No centralized confirmation system This workflow connects research, media generation, publishing, and confirmation into one automated orchestration system. What this workflow does This automation workflow: Accepts a topic or request via Telegram Bot Sends the message to an AI Content Orchestrator Uses AI model + conversation memory for context Creates a Source job via Blotato (research stage) Waits for structured content extraction Retrieves processed research data Creates a Visual generation job (infographic or slideshow) Waits for AI rendering Retrieves final media asset Publishes automatically to: Instagram LinkedIn Sends confirmation back to Telegram Workflow pattern used Trigger → Analyze → Create → Wait → Retrieve → Validate → Publish → Confirm Setup Configure Telegram Trigger Use Telegram Bot Trigger Connect your Telegram Bot token Set update type to message Ensure bot permissions are enabled This is the entry point of the system. Configure AI Core (Orchestrator) Connect: AI Chat Model Conversation Memory storage Ensure: User message is mapped correctly into the AI prompt Memory is attached for contextual responses Output is structured for downstream routing Configure Blotato Research Engine Create Source Connect Blotato credentials Map topic/content request correctly Store Source ID Wait for Source Processing Add a Wait node Adjust delay based on API performance Get Source Retrieve structured research output Validate status = completed Only completed sources proceed to visual generation. Configure Blotato Media Engine Create Visual Connect Blotato credentials Map structured content into visual prompt Select infographic or slideshow format Wait for Rendering Adjust timing based on rendering duration Get Visual Retrieve generated media Validate status = completed Configure Distribution Publish to Instagram Connect Instagram credentials Verify posting permissions Publish to LinkedIn Connect LinkedIn credentials Confirm correct profile or page selection Both platforms publish automatically once media is validated. Configure Telegram Response Use Telegram Response Sender Send success confirmation Optionally include published links Add failure branch notification if needed This keeps the entire workflow controlled from one chat interface. How to customize this workflow You can extend this workflow by: Adding Telegram approval before publishing Generating AI captions and hashtags dynamically Adding retry logic for failed jobs Logging execution results into Google Sheets Expanding to Facebook or TikTok Adding analytics tracking Best practices Keep wait durations aligned with API speed Always validate job status before proceeding Maintain consistent ID mapping (Source ID / Visual ID) Monitor failed execution branches Test with simple content before scaling Nodes used in workflow Telegram Trigger AI Chat Model Memory Store HTTP Request (Blotato API) Wait Switch If Sticky Note Free or Paid? Depends on: Blotato plan AI model usage Social platform API limits This workflow transforms a Telegram message into a fully automated, multi-platform AI content system running 24/7 — including research, visual creation, publishing, and confirmation. (Watch the tutorial video on YouTube)[https://youtu.be/WdTimRjiiH8]

+13

🤖 AI content generation for Auto Service 🚘 Automate your social media📲!

Who Is This For? 🚘This workflow is designed for auto service / car repair businesses looking to streamline their social media marketing with Ai tools and automation via n8n. Whether you’re a small garage owner, a car repair shop, an automotive specialist or automechanic - this tool helps you maintain an active online presence without spending hours creating content. 💪🏼 Though this template is set up for Auto Service daily content uploads, but the underlying logic is universal. You can easily adapt it for any niche by editing prompts, adding nodes, and creating or uploading a variety of content to any platform. You can use any LLM and generative AI of your choice. Personally, I prefer the smooth and effective results from ChatGPT 4.1 combined with GPT Image 1. But you can generate videos instead of images for your posts as well 😉 What Problem Is This Workflow Solving? 🤦‍♂️ Many auto service businesses struggle with consistently posting engaging content due to time constraints or lack of marketing expertise. 💎This workflow solves that by automating the content creation and posting process, ensuring your social media channels stay fresh and active, ultimately attracting more customers. What This Workflow Does: Generates daily social media posts tailored specifically to the auto service niche using AI. Allows easy customization of post and image prompts. Integrates research links through the Tavily Internet Search tool for relevant content. Supports starting posts based on reference article links via Google Sheets. Automatically publishes posts to your connected social media platforms. Enables scheduled or trigger-based posting for maximum flexibility. How It Works? Easy, actually ☺️ AI creates daily social media content made just for Auto Service. You can simply edit prompts for both posts and images, set up news or articles research links via the Tavily Internet Search tool. You can also start the workflow with a reference article link through Google Sheets. 🎯 Consistently posting relevant and actual niche content helps attract new customers, all while leveraging AI and n8n tools to keep the process seamless and cost-effective. Set Up Steps: I kept it quick and simple for you ✨ If you’re happy with the current LLM and image model configurations, just connect your OpenAI API credentials to enable AI content generation. Link your social media accounts (Facebook, Telegram, X, etc.) for autoposting. Optionally connect Google Sheets if you want to trigger posts based on sheet updates with reference links. Customize prompts as needed to match your brand voice, style and marketing tasks. Choose between: 1) Scheduled automatic generation and posting at the same time as socials algorythms like it. 2) Google Sheets trigger with reference. 3) Manual start. How to Customize This Workflow to Your Needs? Switch AI models and edit prompts to better reflect your specific services or promotions. Add or modify research links in Tavily to keep your posts timely and relevant. Adjust posting schedules to match peak engagement times for your audience. Expand or reduce the number of social platforms integrated depending on your marketing strategy. Use Google Sheets to batch upload ideas or curate specific content topics. After adjusting a few settings, activate the workflow and let it run. 🤖 The system will then automatically publish your content across your selected social platforms — saving you time and effort. 📌 You’ll find more detailed tips and additional ai models for customizing ai generation process inside the workflow via sticky notes. 💬 Need help? For additional guidance, feel free to message me — here’s my profile in the n8n community for direct contact 👈 click!

+8

✨🤖Automate Multi-Platform Social Media Content Creation with AI

Automate Multi-Platform Social Media Content Creation with AI Who is this for? Social Media Managers and Digital Marketers seeking to streamline content production across 7+ platforms (X/Twitter, Instagram, LinkedIn, Facebook, TikTok, Threads, YouTube Shorts) using AI-powered automation. What problem does this solve? Creating platform-optimized content at scale while maintaining brand consistency across multiple channels, reducing manual work by 80% through AI generation and automated publishing. What this workflow does AI Content Generation: Uses GPT-4/Gemini to create platform-specific posts Automatically generates hashtags, CTAs, and emoji placement Supports image/video suggestions and image creation using OpenAI or Pollinations.ai Uses SERP api to search for relavent content Approval Workflow: Sends formatted HTML emails for human review Implements double-approval system with Gmail integration Cross-Platform Publishing: One-click deployment to: Instagram/Facebook (via Graph API) X/Twitter (Official API) LinkedIn (Sales Navigator integration) Setup Credentials: OpenAI API key Google Gemini API Social media platform tokens (X, LinkedIn, Facebook) ImgBB for image hosting Gmail SERP API Telegram Configuration: Update all "your-unique-id" placeholders in API nodes Set email recipients in Gmail nodes Customize AI prompts Customization: Adjust character limits per platform Modify approval thresholds Add/remove social platforms as needed How to customize Content Style**: Edit prompt templates in the "Social Media Content Factory" agent node Approval Process**: Modify email templates Analytics**: Connect to Google Sheets for performance tracking Image Generation**: Switch between Pollinations.ai/DALL-E/Midjourney

+8

OpenClaw Clone 🦞: Expandable Personal Telegram AI Agent Template

This workflow implements an advanced AI automation agent (OpenClaw Agent) that interacts with users through Telegram and integrates multiple AI models, external tools, and cloud services to automate complex tasks. I've described my basic idea in this video. VERY IMPORTANT: By adapting the system prompt, inserting subworkflows or mcp servers and adjusting with webhooks many of the workflows I have developed on this page it is possible to potentially extend the template infinitely. The agent can autonomously decide which tools to use to complete the request. It has access to multiple integrations, including: Gmail (read, send, reply, draft emails) Google Calendar (create, delete, check availability) Google Drive, Docs, Sheets, and Slides Web search and web scraping tools RAG (Retrieval-Augmented Generation) using a vector database Here how set up Image and video analysis tools Mathematical calculator tools Custom sub-workflows and MCP integrations The system also includes persistent chat memory stored in PostgreSQL, allowing the AI to remember previous interactions and maintain conversation context. Finally, the workflow generates a response and sends it back to the user via Telegram. If the input was voice-based, the response can also be converted into audio and returned as a voice message. An escalation mechanism allows the system to transfer the conversation to a human operator when needed. Key Advantages ✅ Multimodal Interaction The workflow supports text, voice, and image inputs, allowing users to interact with the system naturally. ✅ AI-Powered Automation The integrated AI agent can autonomously decide which tools to use to solve tasks, reducing manual intervention and enabling intelligent automation. 3.✅ Deep Integration with Google Workspace The workflow can manage emails, documents, spreadsheets, presentations, and calendar events directly through AI commands. ✅ Retrieval-Augmented Knowledge (RAG) The system can access external knowledge sources through a vector database, improving response accuracy and enabling knowledge-based answers. ✅ Persistent Memory Conversation history is stored in PostgreSQL, allowing the agent to maintain context and provide more relevant responses over time. ✅ Web Intelligence Built-in web search and scraping capabilities allow the agent to gather real-time information from the internet. ✅ Voice Response Capability The system can generate audio responses, creating a more natural conversational experience. ✅ Modular and Scalable Architecture The workflow is highly modular, allowing new tools, agents, and services to be added easily. ✅ Human Escalation When automation is not sufficient, the system can escalate the conversation to a human operator. ✅ Fully Automated Digital Assistant Overall, the workflow acts as a fully autonomous AI assistant capable of performing complex operational tasks across multiple platforms. How it works This workflow is a comprehensive Telegram-based AI orchestrator that simulates an OpenClaw-style multi-agent architecture. When a user sends a message to the Telegram bot, the workflow: Receives and authorizes the message through a Telegram trigger, checking if the user ID matches an authorized user (configured in the Code node) Routes different content types using a Switch node that detects whether the incoming message contains text, voice, or images: Text messages: Directly passed to the orchestrator Voice messages: Downloaded and transcribed using OpenAI's audio transcription Images: Downloaded, uploaded to an FTP server, and transformed into a URL for processing Feeds the processed input (text, transcribed voice, or image URL with caption) into the "OpenClaw Agents" node - an AI agent configured with Gemini as the language model and Postgres for chat memory Orchestrates specialized sub-agents through the main AI agent, which can delegate tasks to multiple tools: Research and web search (Perplexity AI) Web scraping (ScrapeGraphAI) Google services (Gmail, Drive, Docs, Sheets, Slides, Calendar) RAG (Qdrant vector store with Cohere reranker) Image/Video generation (via sub-workflow) Calculator Telegram communication tools Handles response delivery based on the original message type: If the original message was voice, the workflow generates an audio response using OpenAI TTS and sends it back as audio Otherwise, sends a text response via Telegram Includes escalation capabilities through a human-in-the-loop tool for situations requiring human intervention Set up steps Configure Telegram Bot Create a Telegram bot via BotFather to get a bot token Set up Telegram credentials in n8n Replace XXX in the Code node with your authorized Telegram user ID Set up API Keys and Credentials OpenAI: API key for audio transcription and text-to-speech Google Gemini: API key for the main language model Google Cloud: OAuth2 credentials for all Google services (Gmail, Drive, Calendar, Docs, Sheets, Slides) Perplexity AI: API key for research and web search ScrapeGraphAI: API key for web scraping Cohere: API key for reranker functionality PostgreSQL: Database connection for chat memory Configure External Services Qdrant: Set up vector database for RAG functionality FTP Server: Configure FTP credentials and path (replace /XXX/ in Upload image node with actual path and domain in Set Image Url node) Configure Webhooks and Endpoints Set the Telegram webhook URL to point to your n8n instance The workflow includes multiple MCP endpoints that need proper configuration Review and Adjust Parameters Check all nodes with placeholder values (marked with XXX) Verify language settings (Italian is set for transcription) Review the system prompt in the OpenClaw Agents node and customize if needed Ensure all tool descriptions match your use case Test and Activate Run the workflow in inactive mode first to test with sample inputs Check that all connections between nodes are correct Activate the workflow when everything is verified 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. Need help customizing? Contact me for consulting and support or add me on Linkedin.

+3

Process Multiple Media Files in Telegram with Gemini AI & PostgreSQL Database

🤖📨 Telegram AI Assistant with Multi-File Media Group Handling, Smart File Processing & PostgreSQL Integration > AI-powered Telegram bot for text, voice, video, documents & media — with database-driven grouping and Telegram-safe formatting. 📋 Description This n8n template creates a next-generation Telegram AI assistant 🧠💬 capable of handling text messages, media files, and documents with advanced processing, PostgreSQL integration, and AI-powered responses. It is designed to solve Telegram’s media group challenge 📦 — when multiple files are sent together, they are stored, processed, and combined into one coherent AI-generated reply. ✨ Key Features 📂 Multi-file media group management with PostgreSQL: media_group media_queue chat_histories 📑 Document parsing for CSV, HTML, ICS, JSON, ODS, PDF (with AI fallback), RTF, TXT, XML, and spreadsheets. 🎤 Voice & video transcription for AI analysis. 🖼️ Image, audio, and video description for richer AI context. 🛡️ Telegram-safe MarkdownV2 formatting with auto-splitting for messages over 4096 chars. ⚠️ Error fallback for unsupported file types. 💡 Acknowledgment A huge thank you to Ezema Gingsley Chibuzo 🙌 for the inspiration of the first version of this workflow: Create a Multi-Modal Telegram Support Bot with GPT-4 and Supabase RAG Your pioneering work laid the foundation for this improved, database-powered multi-modal assistant 🚀 🏷 Tags telegram ai-assistant postgresql multi-file media-group file-processing voice-transcription document-parser pdf-extraction markdown-formatting n8n-template 💼 Use Case Use this template if you need an AI-powered Telegram bot that can: 📦 Handle multiple files sent in a single message (albums, multiple PDFs, etc.). 🧾 Extract & analyze content from many file formats. 🎙️ Transcribe voice and video messages. 🗂️ Maintain chat memory for contextual AI answers. 🛡️ Avoid Telegram formatting errors and length limit issues. This workflow automates the full chain: Receive → Process → AI Analysis → Telegram-safe Reply. 💬 Example User Interactions 📄 Multiple PDFs with a caption** → AI extracts and summarizes all PDFs in one combined reply. 🎤 Voice message** → AI transcribes and replies with a contextual answer. 📊 CSV or spreadsheet file** → AI parses and summarizes the data. 🖼️ Multiple images** → AI describes each image and replies in a single message. 🔑 Required Credentials Telegram Bot API** (Bot Token) PostgreSQL** (Connection credentials) AI Provider API** (OpenAI, Google Gemini, or compatible LLM) ⚙️ Setup Instructions 🗄️ Create the PostgreSQL tables (Gray section SQL): media_group media_queue chat_histories 🔌 Configure the Telegram Trigger with your bot token. 🤖 Connect your AI provider credentials. 🗂️ Set up PostgreSQL credentials in the database nodes. ▶️ Deploy the workflow in n8n. 🎯 Start sending messages and files to your bot. 📌 Extra Notes ✅ Green section ensures only one trigger per media group. 📌 Yellow section guarantees captions and files are stored in the correct sequence. ✨ Purple section formats AI output to be Telegram-safe and split if needed. 🧠 AI prompt is not fixed, allowing full customization. 💡 Need Assistance? If you’d like help customizing or extending this workflow, feel free to reach out: 📧 Email: [email protected] 🔗 LinkedIn: John Alejandro Silva Rodríguez

Extract Text from Images with Telegram Bot & OCR Tesseractjs

Description This n8n workflow enables users to send an image to a Telegram bot and receive the extracted text using Tesseract OCR (via the n8n-nodes-tesseractjs Community Node). It's a quick and straightforward way to convert images into readable text directly through chat. How it Works The workflow listens for new image messages coming in via the Telegram bot. Once an image is received, it downloads the image file from Telegram (which initially arrives as application/octet-stream). The image data, now properly identified, is then sent to the Tesseract OCR node to extract the text. Finally, the recognized text is sent back as a reply to the Telegram user. Setup Steps Install Community Node: Ensure you have installed n8n-nodes-tesseractjs in your n8n instance. Connect Telegram Bot: Configure the Telegram Trigger node with your Telegram bot. Bot Token: Add your Telegram bot token to the Send Message node to send replies. Deploy & Test: Activate (deploy) the workflow and send an image to your Telegram bot to test.

+4

🤖💬 Conversational AI Chatbot with Google Gemini for Text & Image | Telegram

🤖💬 Conversational AI Chatbot with Google Gemini for Text & Image | Telegram Overview 📋 Flexible and scalable chatbot template, designed mainly for Spanish conversations but capable of handling English and other languages. Integrates Google Gemini API for text and image generation, and Telegram for messaging. Supports multiple output types with potential for video, audio, and more. How It Works Modular Architecture & Extensibility ⚙️ Separate modules for data extraction, intent analysis, and adaptive response generation. Easily extendable with additional tools, databases, or APIs. Context & Memory Handling 🧠 Session-based volatile memory maintains conversation coherence. Allows updates or modifications to previous images based on new requests (e.g., add a hat to a dog 🐶). Intent Detection & Classification 🔍 Google Gemini accurately classifies user intent. Two-step validation ensures context-aware, precise replies. Content Generation & Output ✍️🖼️ Generates text and images based on intent and context. Designed for Telegram but adaptable to other platforms and media types (audio, video). Key Benefits ✅ Scalable, customizable, and production-ready architecture. Supports multiple content formats: text, images, audio, and video. Dynamic context and memory management for smooth, coherent conversations. Native integration with Google Gemini and Telegram ensures reliable and seamless operation. Suitable for diverse use cases and easy to extend with new tools or platforms. Use Cases 💼 Customer support virtual assistants. On-demand multimedia content creation. Marketing and user engagement bots. AI conversational prototypes and pilots. Requirements 👨‍💻 n8n instance (self-hosted or cloud) Google Gemini API credentials Telegram bot setup (optional but recommended) Active member of the Polytechnic Artificial Intelligence Club (CIAP) at ESPOL.

Text-to-Image Generation with Google Gemini & Enhanced Prompts via Telegram Bot

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🤖 AI Image Generator Telegram Bot Transform simple text descriptions into stunning AI-generated images through a Telegram bot powered by Google's Gemini 2.0 Flash image. This workflow automatically enhances user prompts with professional prompt engineering techniques and delivers high-quality images directly to your Telegram chat. 🎯 What This Workflow Does This automation creates an intelligent Telegram bot that: Receives text messages** from users describing what image they want Enhances prompts** using AI-powered prompt engineering to add artistic details, lighting, composition, and style specifications Generates images** using Google's Gemini 2.0 Flash image generation model Delivers results** instantly back to the user's Telegram chat ⚡️ Key Features Smart Prompt Enhancement**: Automatically transforms basic requests like "a cat on a windowsill" into detailed, professional prompts with lighting, composition, and style details Professional Image Quality**: Leverages Google's latest Gemini 2.0 Flash model for high-quality image generation Instant Delivery**: Images are generated and sent back to users within seconds User-Friendly**: Simple text-to-image conversion through familiar Telegram interface Structured Output**: Uses JSON schema to ensure consistent prompt formatting 🛠️ How It Works Telegram Trigger: Listens for incoming messages from users AI Prompt Enhancement: Uses Gemini 2.5 Flash Lite to analyze and expand user requests into detailed prompts Structured Processing: Formats the enhanced prompt using JSON schema for consistency Image Generation: Sends the enhanced prompt to Gemini 2.0 Flash image generation API File Conversion: Converts the generated image data to a file format Delivery: Sends the generated image back to the user via Telegram 🎭 Use Cases Creative Content Creation**: Generate artwork, illustrations, and visual concepts Social Media Content**: Create unique images for posts and stories Concept Visualization**: Turn ideas into visual representations Educational Materials**: Generate images for presentations and learning materials Personal Projects**: Create custom artwork for personal use 📋 Prerequisites Before setting up this workflow, you'll need: Required Accounts & APIs: Telegram Bot Token**: Create a bot via @BotFather Google AI Studio Account**: Access to Gemini API services Required Credentials: Telegram Bot API credentials Google Gemini API key with access to: Gemini 2.5 Pro (for prompt enhancement) Gemini 2.0 Flash Preview (for image generation) 🚀 Setup Instructions Import the Workflow: Copy the workflow JSON into your n8n instance Configure Telegram Bot: Create a new bot using @BotFather Add your bot token to the Telegram credentials in n8n Set Up Google Gemini API: Create API key from Google AI Studio and add to n8n credentials Activate the Workflow: Enable the workflow to start receiving messages 💡 Customization Options Prompt Templates**: Modify the prompt enhancement instructions for different artistic styles Image Parameters**: Adjust generation settings for different image formats and qualities Response Formats**: Customize how images are delivered (with captions, multiple formats, etc.) 📊 Example Interaction User Input: "Generate a beautiful image of a dragon from game of thrones" Enhanced Prompt: "A majestic, formidable dragon, reminiscent of those from Game of Thrones, perched atop a jagged, snow-capped mountain peak. The dragon is depicted with immense, leathery wings unfurled, scales glinting with iridescent blues and deep charcoals under the harsh, cold light. Its eyes glow with an inner, fiery amber. The scene is captured with a dramatic, low-angle wide shot, emphasizing the dragon's sheer scale against a turbulent, stormy sky filled with dark, bruised clouds and streaks of lightning. The atmosphere is oppressive and foreboding, with biting wind and swirling snow creating a sense of raw power and danger. The color palette is dominated by icy blues, stark greys, deep blacks, and the contrasting fiery glow of the dragon's eyes and perhaps a hint of internal fire. Rendered in a hyperrealistic, cinematic digital art style, with exceptional attention to detail on the scales, musculature, and the texture of the rocky environment. Lighting is dramatic and high-contrast, with sharp highlights on the dragon's form and deep, impenetrable shadows. Quality specifications include ultra-high detail, 8K resolution, photorealistic rendering, and an epic, awe-inspiring mood, evoking the grandeur and terror of powerful fantasy creatures." Result: 🔧 Technical Details AI Models**: Google Gemini 2.5 Pro (prompt enhancement) + Gemini 2.0 Flash Preview (image generation) Messaging**: Telegram Bot API Output Format**: High-quality images in standard formats Processing Time**: Typically 10-15 seconds per image for Gemini 2.5 Flash and 25-30 seconds Gemini for 2.5 Pro

+6

Document Q&A Chatbot with Gemini AI and Supabase Vector Search for Telegram

This template creates a Telegram AI Assistant that answers questions based on your documents, powered by Google Gemini and Supabase. Key features include Intelligent HTML Post-processing for rich formatting in Telegram and Adaptive Message Chunking to handle long text responses. 📹 Watch the Bot in Action ▶️ Click the image above to watch a live demo on YouTube. This video provides a live demonstration of the bot's core features and how it interacts. See a quick walkthrough of its capabilities and user flow. How it works: User uploads a PDF document to a Telegram bot. The workflow processes the PDF, creates embeddings using Google Gemini, and stores these embeddings in a Supabase vector table. Users then ask questions to the bot. The workflow performs a vector search in Supabase to find relevant document chunks based on the user's query. Google Gemini uses the retrieved relevant chunks to generate an intelligent answer. The bot sends the formatted answer back to the user on Telegram, utilizing HTML markup for enhanced presentation. Set up steps: Setup should take approximately 15-20 minutes. Import the workflow into your n8n instance. Configure credentials for Telegram, Google Gemini, and Supabase. Set up your Supabase vector table using the provided SQL script. Activate the workflow. Detailed setup instructions, including how to get API keys and configure nodes, are available in the sticky notes within the workflow itself.

+8

🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant

🤖 AI-Powered RAG Chatbot with Google Drive Integration This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI. How It Works Document Processing & Storage 📚 Retrieves documents from a specified Google Drive folder Processes and splits documents into manageable chunks Extracts metadata using AI for enhanced search capabilities Stores document vectors in Qdrant for efficient retrieval Intelligent Chat Interface 💬 Provides a conversational interface powered by Google Gemini Uses RAG to retrieve relevant context from stored documents Maintains chat history in Google Docs for reference Delivers accurate, context-aware responses Vector Store Management 🗄️ Features secure delete operations with human verification Includes Telegram notifications for important operations Maintains data integrity with proper version control Supports batch processing of documents Setup Steps Configure API Credentials: Set up Google Drive & Docs access Configure Gemini AI API Set up Qdrant vector store connection Add Telegram bot for notifications Add OpenAI Api Key to the 'Delete Qdrant Points by File ID' node Configure Document Sources: Set Google Drive folder ID Define Qdrant collection name Set up document processing parameters Test and Deploy: Verify document processing Test chat functionality Confirm vector store operations Check notification system This workflow is ideal for organizations needing to create intelligent chatbots that can access and understand large document repositories while maintaining context and providing accurate responses through RAG technology.

+2

Design UI projects 🎨🖼️ with Google Stitch via Telegram using MCP and Gemini AI

This workflow implements an AI-powered design and prototyping assistant that integrates Telegram, Google Gemini, and Google Stitch (MCP) to enable conversational UI generation and project management. Supported actions include: Creating new design projects Retrieving existing projects Listing projects and screens Fetching individual screens Generating new UI screens directly from text descriptions Key Advantages ✅ Conversational Design Workflow Design and UI prototyping can be driven entirely through natural language. Users can create screens, explore layouts, or manage projects simply by chatting, without opening design tools. ✅ Tight Integration with Google Stitch By leveraging the Stitch MCP API, the workflow provides direct access to structured design capabilities such as screen generation, project management, and UI exploration, avoiding manual API calls or custom scripting. ✅ Intelligent Tool Selection The AI agent does not blindly call APIs. It first analyzes the user request, determines the required level of fidelity and intent, and then selects the most appropriate Stitch function or combination of functions. ✅ Multi-Channel Support The workflow supports both generic chat triggers and Telegram, making it flexible for internal tools, demos, or production chatbots. ✅ Security and Access Control Telegram access is restricted to a specific user ID, and execution only happens when a dedicated command is used. This prevents accidental or unauthorized usage. ✅ Context Awareness with Memory The inclusion of conversational memory allows the agent to maintain context across interactions, enabling iterative design discussions rather than isolated commands. ✅ Production-Ready Output Formatting Responses are automatically converted into Telegram-compatible HTML, ensuring clean, readable, and well-formatted messages without manual post-processing. ✅ Extensible and Modular Architecture The workflow is highly modular: additional Stitch tools, AI models, or communication channels can be added with minimal changes, making it future-proof and easy to extend. How It Works This workflow functions as a Telegram-powered AI agent that leverages Google Stitch's MCP (Model Context Protocol) tools for design, UI generation, and product prototyping. It combines conversational AI, tool-based actions, and web search capabilities. Trigger & Authorization: The workflow is activated by an incoming message from a configured Telegram bot. A code node first checks the sender's Telegram User ID against a hardcoded value (xxx) to restrict access. Only authorized users can proceed. Command Parsing: An IF node filters messages, allowing the agent to proceed only if the message text starts with the command /stitch. This ensures the agent is only invoked intentionally. Query Preparation: The /stitch prefix is stripped from the message text, and the cleaned query, along with the user's ID (used as a session identifier), is passed to the main agent. AI Agent Execution: The core "Google Stitch Agent" node is an LLM-powered agent (using Google Gemini) equipped with: Tools: Access to several Google Stitch MCP functions (create_project, get_project, list_projects, list_screens, get_screen, generate_screen_from_text) and a Perplexity web search tool. Memory: A conversation buffer window to maintain context within a session. System Prompt: Instructs the agent to intelligently select and use the appropriate Stitch tools based on the user's design-related request (e.g., generating screens from text, managing projects). It is directed to use web search when necessary for additional context. Response Processing & Delivery: The agent's text output (in Markdown) is passed through another LLM chain ("From MD to HTML") that converts it to Telegram-friendly HTML. Finally, the formatted response is sent back to the user via the Telegram bot. Set Up Steps To make this workflow operational, you need to configure credentials and update specific nodes: Telegram Bot Configuration: In the "Code" node (id: 08bfae9e...), replace xxx in the condition $input.first().json.message.from.id !== xxx with your actual Telegram User ID. This ensures only you can trigger the agent. Ensure the "Telegram Trigger" and "Send a text message" nodes have valid Telegram Bot credentials configured. Google Stitch API Setup: Obtain an API key from Google Stitch. Configure the HTTP Header Auth credential named "Google Stitch" (referenced by all MCP tool nodes: Create Project, Get Project, etc.). Set the Header Auth with: Name: X-Goog-Api-Key Value: Your actual Google Stitch API Key (YOUR-API-KEY). AI Model & Tool Credentials: Verify the credentials for the Google Gemini Chat Model nodes are correctly set up for API access. Verify the credentials for the Perplexity API node ("Search on web") are configured if web search functionality is required. Activation: Once all credentials are configured, set the workflow to Active. The Telegram webhook will be registered, and the workflow will listen for authorized messages containing the /stitch command. 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. Need help customizing? Contact me for consulting and support or add me on Linkedin.

Post AI news to Telegram with Google Gemini and human approval

How it works This workflow automates the curation and publishing of AI news to a Telegram channel. It follows a four-stage process: Aggregation: Monitors RSS feeds from VentureBeat and The AI Blog on a daily schedule. Filtering: Merges the feeds and uses a code snippet to select only the single most recent, high-quality article. Summarization: Sends the article data to Google Gemini, which generates a professional, emoji-rich summary formatted for social media. Human-in-the-loop Approval: Instead of auto-posting, it sends the draft to a private Telegram chat. The post is only published to the public channel once a human clicks "Approve." Set up steps Time estimate: 10–15 minutes. Credentials: You will need to connect your Google Gemini (PaLM) API key and your Telegram Bot API token. Telegram IDs: Ensure you have the Chat ID for both your private approval chat and your public destination channel. Schedule: The trigger is currently set to 3:56 PM daily; adjust this in the "Schedule Trigger" node to fit your preferred posting time.

+4

University FAQ & Calendar Assistant with Telegram, MongoDB and Gemini AI

🤖 Interactive Academic Chatbot (Telegram + MongoDB) Overview 📋 This project is a template for building a complete academic virtual assistant using n8n. It connects to Telegram, answers frequently asked questions by querying MongoDB, keeps the community informed about key dates (via web scraping), and collects user feedback for continuous improvement. How It Works Architecture and Workflow ⚙️ n8n: Orchestration of 3 workflows (chatbot, scraping worker, announcer). Telegram: Frontend for user interaction and sending announcements. MongoDB: Centralized database for FAQs, academic calendar, and feedback logs. Web Scraping: HTTP Request and HTML Extract nodes to read the university's web calendar. Cron: For automatic periodic executions (daily and weekly). Core Processes 🧠 Real-time reception of user queries via Telegram. Querying MongoDB collections for FAQ answers and calendar dates. Daily scraping of the university website to keep the calendar updated. Instant logging of user feedback (👍/👎) in MongoDB. Proactive sending of weekly announcements to the Telegram channel. Key Benefits ✅ Complete automation of student communication 24/7. An always-accurate academic calendar database without manual intervention. A built-in continuous improvement system through user feedback. Proactive communication of important events to the entire community. Use Cases 💼 Automation of student support in universities, colleges, and institutions. A virtual assistant for any organization needing to manage FAQs and a dynamic calendar. An automated announcements channel to keep a community informed. Requirements 👨‍💻 n8n instance (self-hosted or cloud). Credentials for a Telegram Bot (obtained from @BotFather). Credentials for a MongoDB database (Connection URI). URL of the academic calendar to be scraped. Authors 👥 Doménica Amores Nicole Guevara Adrián Villamar Mentor: Jaren Pazmiño Applicants to the CIAP Polytechnic Artificial Intelligence Club

AI Sales Agent with Telegram Approvals & Google Sheets Sync

A complete, ready-to-deploy Telegram chatbot template for food delivery businesses. This intelligent assistant handles orders, payments, customer service, and order tracking with human-in-the-loop payment verification. ✨ Key Features 🤖 AI-Powered Conversations - Natural language order processing using Google Gemini 📱 Telegram Integration - Seamless customer interaction via Telegram 💳 Payment Verification - Screenshot-based payment confirmation with admin approval 📊 Order Tracking - Automatic Google Sheets logging of all orders 🧠 Memory Management - Contextual conversation memory for better customer experience 🌍 Multi-Currency Support - Easily customizable for any currency (USD, EUR, GBP, etc.) 📍 Location Flexible - Adaptable to any city/country 🔄 Human Oversight - Manual payment approval workflow for security 🛠️ What This Template Includes Core Workflow Customer Interaction - AI assistant takes orders via Telegram Order Confirmation - Summarizes order with total and payment details Information Collection - Gathers customer name, phone, and delivery address Payment Processing - Handles payment screenshots and verification Admin Approval - Human verification of payments before order confirmation Order Tracking - Automatic logging to Google Sheets with delivery estimates Technical Components AI Agent Node - Google Gemini-powered conversation handler Memory System - Maintains conversation context per customer Google Sheets Integration - Automatic order logging and tracking Telegram Nodes - Customer and admin communication Payment Verification - Screenshot detection and approval workflow Conditional Logic - Smart routing based on message types 🚀 Quick Setup Guide Prerequisites n8n instance (cloud or self-hosted) Telegram Bot Token Google Sheets API access Google Gemini API key Step 1: Replace Placeholders Search and replace the following placeholders throughout the template: Business Information [YOUR_BUSINESS_NAME] → Your restaurant/food business name [ASSISTANT_NAME] → Your bot's name (e.g., "Alex", "Bella", "Chef Bot") [YOUR_CITY] → Your city [YOUR_COUNTRY] → Your country [YOUR_ADDRESS] → Your business address [YOUR_PHONE] → Your business phone number [YOUR_EMAIL] → Your business email [YOUR_HOURS] → Your operating hours (e.g., "9AM - 11PM daily") Currency & Localization [YOUR_CURRENCY] → Your currency name (e.g., "USD", "EUR", "GBP") [CURRENCY_SYMBOL] → Your currency symbol (e.g., "$", "€", "£") [YOUR_TIMEZONE] → Your timezone (e.g., "EST", "PST", "GMT") [PREFIX] → Order ID prefix (e.g., "FB" for "Food Business") Menu Items (Customize Completely) [CATEGORY_1] → Food category (e.g., "Burgers", "Pizza", "Sandwiches") [ITEM_1] through [ITEM_8] → Your menu items [PRICE_1] through [DELIVERY_FEE] → Your prices Add or remove categories and items as needed Payment & Support [YOUR_PAYMENT_DETAILS] → Your payment information [YOUR_PAYMENT_PROVIDER] → Your payment method (e.g., "Venmo", "PayPal", "Bank Transfer") [YOUR_SUPPORT_HANDLE] → Your Telegram support username Step 2: Configure Credentials Telegram Bot - Add your bot token to Telegram credentials Google Sheets - Connect your Google account and create/select your orders spreadsheet Google Gemini - Add your Gemini API key Sheet ID - Replace [YOUR_GOOGLE_SHEET_ID] with your actual Google Sheet ID Step 3: Customize Menu Update the menu section in the AI Agent system message with your actual: Food categories Item names and prices Delivery fees Any special offerings or combos Step 4: Test & Deploy Import the template into your n8n instance Test the conversation flow with a test Telegram account Verify Google Sheets logging works correctly Test the payment approval workflow Activate the workflow 💰 Currency Examples USD Version 🍔 MENU & PRICES (USD) Burgers Classic Burger – $12.99 Cheese Burger – $14.99 Deluxe Burger – $18.99 Delivery Fee – $3.99 EUR Version 🍔 MENU & PRICES (EUR) Burgers Classic Burger – €11.50 Cheese Burger – €13.50 Deluxe Burger – €17.50 Delivery Fee – €3.50 📊 Google Sheets Structure The template automatically logs orders with these columns: Order ID Customer Name Chat ID Phone Number Delivery Address Order Info Total Price Payment Status Order Status Timestamp 🔧 Customization Options Easy Customizations Menu Items - Add/remove/modify any food items Pricing - Update to your local pricing structure Currency - Change to any currency worldwide Business Hours - Modify operating hours Delivery Areas - Add location restrictions Payment Methods - Update payment information# Header 1

+8

Automated Viral Content Engine for LinkedIn & X with AI Generation & Publishing

Social Media Spark (SMS) — Automated Viral Content Engine Automate your entire content workflow: discover viral ideas, generate posts in your tone, repurpose for X, and auto-publish — reducing 90% of manual effort. 🚀 What it Does Scrapes competitors or niche profiles on LinkedIn to find high-performing posts. Classifies and saves evergreen content ideas for later use. Generates fresh posts in your own voice with matching images. Repurposes content for X (Twitter) in a platform-optimized style. Automatically publishes content to LinkedIn and X on your schedule. Allows on-demand commands via Telegram for research or instant content generation. 🧩 Why Use It Save time:** no more manual scraping, idea collection, or formatting. Stay consistent:** maintain a daily content pipeline. Multi-platform leverage:** create once, adapt for LinkedIn and X. Creative control:** mix automation with optional human review. Scalable:** extend to more platforms, analytics, and workflows as you grow. 🔧 Prerequisites & Setup Before importing or activating the workflow, prepare these: AI Provider (OpenAI / Gemini / OpenRouter)** For classifying posts, generating new content, repurposing for X. Google Sheets** Central database for competitors, ideas, generated posts, and posting status. Google Drive** Stores generated images. Apify & Browseract** Scrapes LinkedIn profiles, posts, and performs research tasks. LinkedIn API** Needed for automated LinkedIn publishing. X (Twitter) API** Requires OAuth 1.0a for image uploads and OAuth 2.0 for text posting. Telegram Bot** Enables on-demand commands and notifications. Set your Telegram User ID in the trigger node. > 🔎 In each sub-workflow, look for nodes marked “Configure Me!” to replace example prompts, search keywords, sheet IDs, etc. ⚙️ How It Works (Simplified Flow) Scrape & Classify: Collect high-engagement posts → keep evergreen ones. Generate Content: Rewrite ideas into new posts in your voice → create images. Repurpose for X: Adapt LinkedIn posts for short-form, high-impact tweets. Auto-Publish: Post daily on LinkedIn and X. Control via Telegram: Manually trigger scraping, research, or post generation. 💡 Best Practices & Tips Keep all API keys private — never share them in public repos or screenshots. Adjust cron schedules (e.g., scraping on weekends, posting on weekdays) to fit your content rhythm. Add Human-in-the-Loop review steps for brand-sensitive content. Extend to other platforms (Instagram, TikTok, YouTube Shorts) as needed. Experiment with prompt variations for different tones or creative styles. Add analytics logging (likes, comments, clicks) to measure content performance. 🙋‍♂️ Who is This For Solo creators & founders** who want to post consistently but don’t have time for daily ideation. Small marketing teams** that need to keep up with trends without spending hours on research. Consultants & thought leaders** who want to amplify their personal brand on LinkedIn and X. Startups & bootstrapped businesses** that need a lean but reliable content engine. Content strategists** who want a data-driven, repeatable pipeline for finding and using what works. Or anyone who wants to boost social presence by 300% 💡 Why SMS Stands Out Authentic voice:** Uses your own tone and style (defined in prompts and examples), so posts feel personal — not generic AI fluff. Data-driven:** Pulls from real, viral posts in your niche to inspire fresh content. Quality over quantity:** Focuses only on proven viral ideas instead of churning random posts. Consistent growth:** Keeps your posting regular, so you stay visible and relevant. Efficient workflow:** Minimizes manual work while letting you step in when needed (e.g., for approvals or special campaigns). > ⚡ SMS combines real market data with your unique voice — so you post smarter, not just more often.

Create YouTube Shorts Scripts from Video Links with Gemini AI and Telegram

disclaimer: This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Quick Summary This template automates the creation of YouTube Shorts scripts. Simply send a YouTube video URL to a Telegram bot, and this workflow will use AI (Google Gemini) to generate a script optimized for Shorts and send it back to you. It streamlines your content creation process by eliminating the manual work of transcribing and scriptwriting. Target Audience & Problem Solved This template is ideal for: YouTube Content Creators Social Media Marketers Anyone looking to efficiently repurpose - - video content It solves the following problems: Quickly creating engaging short-form video content from existing long-form videos. Drastically reducing the time spent on video transcription, summarization, and scriptwriting. Enabling content idea generation on the go, even from a smartphone without access to a PC. Workflow Overview This workflow automatically generates a script for YouTube Shorts using AI (Google Gemini) from a YouTube video URL received via Telegram, and then sends the result back to Telegram. The process is as follows: Receive URL: A Telegram bot receives a YouTube video URL from a user. Get Transcript: It uses the community node n8n-nodes-supadata to retrieve the video's transcript via the Supadata service. Generate Script: Based on the retrieved transcript, Google Gemini creates a script (title and body) optimized for a YouTube Shorts video. Send Result: The generated script is sent back to the user who sent the original URL via Telegram. How to Use Prerequisites: Install the n8n-nodes-supadata community node as described below. Register your API keys for Telegram, Supadata, and Google Gemini as credentials in n8n. Set the appropriate credentials in each node within the workflow. For Telegram, create your bot with BotFarther. Execution: Activate the workflow. Send a YouTube video URL to your configured Telegram bot. Confirmation: After a short while, the workflow will run automatically, and you will receive the completed script from the Telegram bot. Customization Guide You can tailor this template to your specific needs: Modify the Prompt: Edit the prompt in the Google Gemini node to change the style of the generated script (e.g., make it more casual, use a specific tone, include emojis). Change the AI Model: You can switch to other AI models like OpenAI. Simply add or replace the corresponding n8n node. Change the Notification Channel: Replace the Telegram node with a Discord or Slack node to send the results to a different platform. Community Node Installation This workflow requires the n8n-nodes-supadata community node. Please install it using the following steps. Installation from the n8n UI (Recommended) Navigate to Settings > Community Nodes in your n8n interface. Click on Install. Enter n8n-nodes-supadata in the input field and click the Install button.

Personal Knowledgebase AI Agent

How it works: This project creates a personal AI knowledge assistant that operates through Telegram. The assistant can extract summaries from YouTube videos or online articles, store them in Google Sheets for later reference, and retrieve stored summaries when requested by the user. Step-by-step: Google Sheets Trigger:* The workflow starts by detecting a new YouTube or article URL added to a dedicated sheet (Sheet2*). It checks whether the link is already processed. Link Type Detection:** The system identifies if the URL is from YouTube or a standard article. Data Retrieval:** If it’s YouTube: Uses Apify to fetch the transcript. If it’s an article: Uses an HTTP Request node to fetch the webpage content. AI Summarization:* The transcript or article content is passed to Google Gemini* for refined summarization. Google Sheets Storage:* The summary and title are appended to another sheet (Sheet1*) for long-term storage, along with a “Stored” status update in Sheet2. Telegram Assistant:** A Telegram Trigger listens for messages from the user. The assistant searches stored summaries in Google Sheets. If a match is found, it returns the result to the user on Telegram; otherwise, it politely apologizes.

Create daily historical AI videos with Gemini, fal.ai, Telegram and YouTube

Who’s it for This workflow is ideal for: Content creators producing daily historical or educational videos YouTube automation enthusiasts building AI-driven channels Educators sharing engaging historical facts in short-form video format Anyone creating an automated AI video pipeline with human approval How it works This workflow automates the full pipeline of generating and publishing historical videos: Triggers daily at 1 AM and initializes retry tracking (maximum 3 attempts) Fetches historical events for the current date and selects one randomly Uses Google Gemini to generate a cinematic text-to-video script Sends the prompt to fal.ai (Hunyuan LoRA) to generate a short video Polls the generation status every 30 seconds until the video is ready Downloads the generated video and sends it to Telegram with context Waits for manual approval via Telegram If approved → uploads the video to YouTube and sends a confirmation message If declined → retries with a new event (up to 3 attempts total) How to set up Import the workflow into n8n Configure your Telegram credentials Set your Telegram Chat ID using a variable or Set node (avoid hardcoding) Configure HTTP Header Auth credentials for fal.ai (API key required) Set up Google Gemini API credentials Connect your YouTube account using OAuth2 (Optional) Adjust the schedule time in the trigger node Activate the workflow Requirements n8n (cloud or self-hosted) fal.ai account and API key (for video generation) Google Gemini API access YouTube account with upload permissions Telegram account for approval notifications How to customize the workflow Adjust retry limits in the retry logic node Modify video parameters (resolution, frames, aspect ratio) in the fal.ai request Change the script style by editing the Gemini prompt Replace the historical events API with another content source Customize Telegram messages or approval flow

+3

Generate visual resumes from Telegram using Google Gemini and BrowserAct

Generate visual resumes from Telegram inputs using Google Gemini This workflow transforms text-based resume data into visually stunning images by leveraging Google Gemini's reasoning and vision capabilities. It autonomously analyzes the candidate's profile, selects an appropriate design template based on their industry, and renders a high-quality resume image directly in Telegram. Target Audience Job seekers, career coaches, resume writers, and recruitment agencies looking to automate design generation. How it works Classify Input: The workflow starts with a Telegram trigger. A Google Gemini agent analyzes the incoming message to determine if it is a casual chat or a resume generation request. Fetch Context: If it is a resume request, a BrowserAct node triggers a workflow (using the "AI Resume Replicant" template) to fetch necessary external context or data. Ingest Designs (Optional): If a reference image is provided, CloudConvert standardizes the file, and Google Gemini Vision reverse-engineers the layout and style, saving the "Visual DNA" to Google Sheets. Draft Blueprint: The "Resume Writer" AI agent selects a stored design template that matches the candidate's industry (e.g., "Corporate" for Finance, "Creative" for Design) and maps the text content to the layout. Generate Prompt: A "Visualizer" AI agent converts the structured blueprint into a highly detailed natural language prompt for image generation. Render & Deliver: Google Gemini generates the final resume image, which is then sent back to the user via Telegram. How to set up Configure Credentials: Connect your Telegram, Google Gemini, Google Sheets, CloudConvert, and BrowserAct accounts in n8n. Prepare BrowserAct: Ensure the AI Resume Replicant template is saved in your BrowserAct account. Setup Google Sheet: Create a new Google Sheet with the required header (listed below). Connect Sheet: Open the Google Sheets nodes (Clear, Get, Append) and select your new spreadsheet. Configure Telegram: Ensure your Telegram Bot is connected to the Trigger and Message nodes. Google Sheet Headers To use this workflow, create a Google Sheet with the following header: Resume Details Requirements BrowserAct* account (Template: AI Resume Replicant*). Google Gemini** account. Telegram** account (Bot Token). CloudConvert** account. Google Sheets** account. How to customize the workflow Refine Design Logic: Modify the system prompt in the "Resume Writer" agent to change how the AI matches industries to design styles (e.g., force specific colors for specific roles). Change Output Format: Replace the Telegram response node with a Google Drive node to save the generated images as PDF or PNG files instead of sending them. Switch Image Model: Update the "Generate an image" node to use a different image generation model if preferred (e.g., OpenAI DALL-E). Need Help? How to Find Your BrowserAct API Key & Workflow ID How to Connect n8n to BrowserAct How to Use & Customize BrowserAct Templates Workflow Guidance and Showcase Video I Built a Resume Bot that CLONES Any Template! 🤖 (BrowserAct + n8n + Gemini Tutorial)

Automated Product Review Monitoring with Sentiment Analysis via Decodo, Gemini & Telegram

Decodo-powered review aggregation to Google Sheets with Gemini analysis and Telegram alerts Who’s it for This template is designed for e-commerce owners, marketplace sellers, product teams, and CX/reputation managers who need an automated way to monitor product reviews. It’s ideal for anyone tracking Amazon listings or other URLs and wants AI-powered sentiment, summaries, and alerts without manual scraping. What it does This workflow automatically retrieves product URLs from Google Sheets, scrapes reviews using Decodo (community node), formats the extracted data, and analyzes it using Gemini AI. It produces both sentiment classification and a concise review summary. Results are saved to a Google Sheets log, and the workflow sends a Telegram alert whenever new reviews are processed. The entire pipeline runs on a schedule, ensuring continuous and fully automated monitoring. How it works A scheduled trigger starts the workflow. Google Sheets provides the list of product URLs. Each URL is processed through Decodo to extract user reviews. A Code node formats the raw review data. Gemini performs sentiment analysis and summarization. Results are appended to a Google Sheets review log. A Telegram message delivers a real-time summary and sentiment snapshot. Sign up for Decodo — get better pricing here Requirements Decodo API credentials (self-hosted community node) Google Sheets API Key Gemini AI credentials Telegram Bot + Chat ID n8n self-hosted (required for Decodo community node) How to set up Add your Decodo credentials to the Decodo node. Update both Google Sheets nodes with your document ID and sheet names. Insert your Gemini API key. Provide your Telegram Bot token and Chat ID. Adjust the schedule interval to your preference. Run the workflow once to validate mappings and output fields. How to customize Modify the Code node to change how reviews are formatted. Extend Gemini prompts for deeper analysis (keywords, categories, toxicity). Add filters to trigger alerts only on negative sentiment. Append additional metadata (timestamps, product IDs) to the Sheets log. Add email, Slack, or other communication channels. Disclaimer (Community Node) This workflow uses a community node (Decodo) and therefore works only on self-hosted n8n instances. Be sure to install and trust the package before using it.

+3

AI Candidate Screening Pipeline: LinkedIn to Telegram with Gemini & Apify

LinkedIn URL → Scrape → Match → Screen → Decide, all automated This workflow automatically processes candidate LinkedIn profiles shared via Telegram, intelligently matches them to job descriptions, performs AI-powered screening analysis, and sends actionable summaries to your team in Telegram. Good to know Handles LinkedIn profile scraping via Apify API (extracts full profile data including experience, education, skills) Built-in spam prevention: limits users to 3 LinkedIn profile submissions Two-stage JD matching: prioritizes role mentioned in candidate's Telegram message, falls back to LinkedIn profile analysis if needed Uses Google Gemini API for AI screening (generous free tier and rate limits, typically enough to avoid paying for API requests - check latest pricing at Google AI Pricing and rate limits documentation) Automatic polling mechanism checks Apify extraction status up to 10 times (15-second intervals) Complete audit trail logged in Google Sheets with unique submission IDs Who's it for Hiring teams and recruiters who want to streamline first-round screening for candidates who share LinkedIn profiles directly. Perfect for companies accepting applications via messaging platforms (Telegram, WhatsApp, etc.), especially useful fortech-savvy audiences and remote/global hiring. How it works Telegram bot receives message containing LinkedIn profile URL from candidate Validates URL format and checks spam prevention (max 3 submissions per Telegram username) Sends confirmation message to candidate and notifies internal talent team via Telegram group Extracts clean LinkedIn URL and initiates Apify scraping job Polls Apify API up to 10 times (15-second intervals) until profile extraction completes AI agent matches candidate to best-fit job description by analyzing Telegram message context first (if candidate mentioned a role), or LinkedIn profile content as fallback (selects up to 3 potential JD matches) If multiple JDs matched, second AI agent selects the single best fit based on detailed profile analysis AI recruiter agent analyzes LinkedIn profile against selected JD and generates structured screening report (strengths, weaknesses, risk/reward factors, overall fit score 0-10 with justification) Logs complete analysis to Google Sheets tracker with unique submission ID Sends formatted summary to Telegram group with candidate details, matched JD, and overall fit score Requirements Telegram Bot Token (Create bot via @BotFather) Apify account with API token (Sign up for free tier) Google Drive account (OAuth2) Google Sheets account (OAuth2) Google Gemini API key (Get free key here) Google Drive folder for Job Descriptions (as PDFs or Google Docs) Telegram group for internal talent team notifications How to set up Create Telegram bot and internal Telegram chat group with new bot: Message @BotFather on Telegram Send /newbot and follow instructions to create your bot Save the API token provided Create Telegram group chat and invite your new bot + invite the @GetIDs bot Note down the group chat ID (How to get group chat ID) Setup Apify: Sign up at Apify Get your API token from Settings Note: Free tier includes sufficient scraping credits for testing and production ($0.01 per successful LinkedIn profile enriched, a free monthly limit of $5.00) - LinkedIn profile scraper "actor" details Create Google Sheet: Create new sheet named "LinkedIn Profile AI Candidate Screening" Add columns: Submission ID, Date, LinkedIn Profile URL, First Name, Last Name, Email (if known), Telegram Username, Strengths, Weaknesses, Risk Factor, Reward Factor, JD Match, Overall Fit, Justification Copy the spreadsheet ID from URL Setup Google Drive folder: Create folder named "Job Descriptions" Upload your JD files (PDFs or Google Docs) with clear, descriptive filenames Copy the folder ID from URL Configure workflow nodes: In "Receive Telegram Msg to Recruiter Bot" node: Add Telegram API credentials In "Extract LinkedIn Profile Information" node: Replace YOUR_APIFY_API_TOKEN with your Apify token In "Check LinkedIn Profile Extraction Status" node: Replace YOUR_APIFY_API_TOKEN with your Apify token In "Get Fully Extracted LinkedIn Profile Data" node: Replace YOUR_APIFY_API_TOKEN with your Apify token In "Access JD Files" node: Update folder ID to your "Job Descriptions" folder In "Get All Rows Matching Telegram Username" node: Select your Google Sheet In "Add Candidate Analysis in GSheet" node: Select your Google Sheet and verify column mappings In "Send Msg to Internal Talent Group" node: Update chat ID to your Telegram group chat ID In "Send Review Completed Msg to Talent Group" node: Update chat ID and Google Sheet URL Add your company description: In "JD Matching Agent" system message: Replace company description with your details In "Detailed JD Matching Agent" system message: Replace company description with your details In "Recruiter Scoring Agent" system message: Update company description Test the workflow: Send a LinkedIn profile URL to your bot from Telegram Monitor execution to ensure all nodes run successfully Check Google Sheets for logged results Activate workflow Customizing this workflow Change spam limits: Edit "Spam Check: Sent <4 LinkedIn Profiles?" node to adjust maximum submissions (currently 3) Adjust polling attempts: Edit "Checked 10x for LinkedIn Profile Data?" node to change maximum polling attempts (currently 10) or modify wait time in "Wait for LinkedIn Profile" node (currently 15 seconds) Change JD matching logic: Edit "JD Matching Agent" node prompt to adjust how LinkedIn profiles are matched to roles (e.g., weight current role vs. overall experience) Modify screening criteria: Edit "Recruiter Scoring Agent" node system message to focus on specific qualities (culture fit, leadership potential, technical depth, industry experience, etc.) Add more messaging platforms: Add nodes to support WhatsApp, Discord, or other messaging platforms using similar URL-based triggers Customize Telegram messages: Edit notification nodes to change formatting, add emojis, or include additional candidate data Auto-proceed logic: Add IF node after screening to auto-proceed candidates with fit score above threshold (e.g., 8+/10) and trigger different notification paths Add candidate responses: Connect nodes to automatically message candidates back via Telegram (confirmation, rejection, interview invite) Add interview scheduling: For approved candidates, send Telegram message with Cal.com or Calendly link so they can book their interview Enrich with additional data: Add nodes to cross-reference candidate data with other sources (GitHub, Twitter/X, company websites) Multi-language support: Add translation nodes to support candidates submitting profiles in different languages Add human approval step: Create buttons in Telegram group messages for instant Approve/Reject decisions that update Google Sheets Pro tip: Add your Telegram bot to your company's careers page with instructions like: "Want fast-track screening? Share your LinkedIn profile with our AI recruiter: @YourBotName" Troubleshooting Telegram bot not responding: Ensure bot token is correct in "Receive Telegram Msg to Recruiter Bot" node, and users have sent /start to your bot at least once "LinkedIn profile URL invalid" error: Check that candidates are sending full URLs in format https://www.linkedin.com/in/username (not shortened links or text without URL) Apify extraction failing: Verify Apify API token is correctly set in all three HTTP Request nodes ("Extract LinkedIn Profile Information", "Check LinkedIn Profile Extraction Status", "Get Fully Extracted LinkedIn Profile Data") LinkedIn extraction timeout: Increase polling attempts in "Checked 10x for LinkedIn Profile Data?" node (currently 10) or increase wait time in "Wait for LinkedIn Profile" node (currently 15 seconds) Spam check blocking valid users: Check "Get All Rows Matching Telegram Username" node is pointing to correct Google Sheet, and adjust limit in "Spam Check: Sent <4 LinkedIn Profiles?" node if needed JD matching returns no results: Check "Access JD Files" node folder ID points to your Job Descriptions folder, and JD files are named clearly (e.g., "Marketing Director JD.pdf") JD matching is not relevant for my company: Update the "Company Description" in the System Messages in all three AI agent nodes ("JD Matching Agent", "Detailed JD Matching Agent", "Recruiter Scoring Agent") "Can't find matching JD": Ensure candidate's Telegram message mentions role name OR their LinkedIn profile clearly indicates relevant experience for available JDs Google Sheets errors: Verify sheet name is "LinkedIn Profile AI Candidate Screening" and column headers exactly match workflow expectations (Submission ID, Date, LinkedIn Profile URL, First Name, Last Name, etc.) Telegram group notifications not appearing: Verify chat ID is correct in "Send Msg to Internal Talent Group" and "Send Review Completed Msg to Talent Group" nodes (use negative number for group chats, e.g., -4954246611) Missing candidate data in Google Sheets: LinkedIn profile may be incomplete - verify Apify successfully extracted data by checking "Get Fully Extracted LinkedIn Profile Data" node output Loop counter not working: Check "Restore Loop Counter" code node references correct node names ("Checked 10x for LinkedIn Profile Data?" and "Initialize Loop Counter to Poll for Completion") 401/403 API errors: Re-authorize all OAuth2 credentials (Google Drive, Google Sheets) and verify Apify and Telegram API tokens are valid AI analysis quality issues: Edit system prompts in "JD Matching Agent", "Detailed JD Matching Agent", and "Recruiter Scoring Agent" nodes to refine screening criteria and provide more context about your hiring needs Gemini API rate limit errors: Check your usage at Google AI Studio and consider upgrading to paid tier if exceeding free tier limits (see rate limits documentation) Sample Outputs Google Sheets - LinkedIn AI Candidate Screening - sample Telegram messages between AI recruiter bot and job applicant Telegram messages from AI recruiter bot in internal group chat

Automated Reservation System with Telegram, Google Gemini AI, and Google Sheets

💡 What It Is SmartReserve is a flexible, automated Telegram chatbot built in n8n that allows users to request and confirm reservations for any kind of resource—training sessions, equipment, appointments, event slots, or more. It connects with Google Sheets for live availability tracking and automatically sends confirmation emails to your users. ⚙️ How It Works Telegram Chatbot Interface Users interact with a friendly bot to submit their reservation request. The bot collects: Date Name Email Resource / Service Start Time & End Time Final confirmation All in one seamless message. Conflict-Free Booking System The bot checks your existing reservation sheet to avoid time overlaps before confirming. Google Sheets Integration Two spreadsheets are used: Resource Info: Define available services, resources, or assets. Reservation Log: Store confirmed reservations in structured rows. Confirmation via Email Once a reservation is accepted, the bot sends a detailed confirmation email to the user. 🚀 Setup Steps Import the n8n Workflow Use the provided .json template inside your n8n workspace. Create Your Google Sheets Sheet 1: Resource Info (e.g., rooms, courts, sessions, etc.) Sheet 2: Reservation Log with these headers: CopyEditDate | Name | Email | Resource | Start Time | End Time | Status Set Telegram Bot Token Create a Telegram bot and paste the token into n8n credentials. Connect Google Sheets Add your Google account to n8n and allow spreadsheet access. Customize for Your Use Case Rename “Resource” to anything (e.g., Room, Coach, Equipment). Edit confirmation text and branding inside the “Set” and “Email” nodes. Go Live! Enable the workflow, and you’re ready to accept real-time reservations. 📦 What You Get ✅ One-click Telegram reservation system ✅ Conflict checker with Google Sheets ✅ Auto email confirmation ✅ User-friendly one-shot data collection ✅ Fully editable & extendable workflow ✅ Future updates and support options 🙋 Need Help Setting It Up? If you'd like help customizing or deploying this workflow, I offer quick setup assistance and extended support.📧 Contact: [email protected] 💬 Whatsapp: +201061803236 Whether you're setting it up for your team, your club, or your business—I’m here to help!

Personal Google Calendar & Reminder Bot on Telegram using Gemini & Whisper

The CA - Tele Assistant workflow is an intelligent Telegram bot designed to help you manage your Google Calendar effortlessly through natural language and voice commands. 💡 Why Use CA - Tele Assistant? Hands-free calendar management:** Manage your events via text or voice with zero manual calendar app usage Smart reminders:** Receive tailored, friendly reminders well in advance, helping you stay prepared Multifunctional AI assistant:** Create, view, update, or delete events simply by chatting naturally Seamless integration:** Combines Google Calendar, Telegram, OpenAI transcription, and Google Gemini model for powerful capabilities Context-aware messaging:** Personalized message tone, emoji use, and prep tips depending on event type and urgency ⚡ Who Is This For? Busy professionals:** Who want to manage their schedule quickly without opening multiple apps Remote teams:** Needing easy calendar coordination and friendly reminders via Telegram People who prefer voice commands:** Allows scheduling and querying via Indonesian voice messages Anyone overwhelmed by calendar clutter:** Automates reminders and event organization effortlessly ❓ What Problem Does It Solve? Manually juggling your calendar events—creating entries, checking your schedule, or remembering appointments—is time-consuming and error-prone. Traditional calendar apps require multiple interactions and can flood you with generic notifications that lack context or personality. Voice commands or natural chat to manage calendars are rarely supported natively. CA - Tele Assistant solves these issues by offering a chat-based, AI-powered interface that understands your natural language or voice, automates calendar operations, and sends smart reminders tailored to your event and preferences. This reduces the cognitive load, minimizes missed appointments, and makes calendar management seamless. 🔧 How This Workflow Works ⏱ Step 1: Incoming Telegram messages or voice messages trigger the workflow via Telegram Trigger node 📥 Step 2: Voice messages are automatically downloaded and transcribed into text using OpenAI 🔀 Step 3: A Switch node routes text and voice commands for unified processing ✍️ Step 4: The Google Gemini AI model processes natural language commands for calendar actions 🧠 Step 5: A Langchain AI agent ("Calendar Manage!") handles operations such as event creation, update, deletion, and fetching events using Google Calendar API tools. It uses session memory to keep contextual chat flow 🔔 Step 6: A scheduled trigger every 15 minutes retrieves upcoming calendar events (within 45-60 mins), filters duplicates, and an AI Reminder Message Agent crafts personalized reminder messages 💬 Step 7: Reminder messages are sent automatically to the user's Telegram chat, with typing indicators for a humanized feel 🛠 Step 8: All data flows and interactions are combined, ensuring seamless conversational experience with real-time calendar sync 🔐 Setup Instructions Import the provided JSON workflow into your n8n instance Set up credentials: Telegram API Bot credentials via BotFather Google Calendar OAuth2 credentials OpenAI API key (for voice transcription) Google Palm API credentials (for Gemini AI) Customize: Adjust chat IDs, timezone preferences, and reminder timing (default 45-60 minutes before events) Update: Replace placeholder chat IDs with your Telegram chat ID Test: Send test commands or voice messages through your Telegram bot to verify event creation, updates, and reminder delivery 🧩 Pre-Requirements Telegram Bot: Create bot via @BotFather Google Calendar: Setup OAuth2 credentials OpenAI API: For voice message transcription Google Gemini: For AI language model 📚 Useful Resources n8n Documentation Telegram Bot API Google Calendar API OpenAI API Docs 🛠️ Customize It Further Add support for additional languages in voice transcription or chat responses Integrate weather or traffic APIs for more enhanced reminder tips Enable multi-user support with dynamic chat ID handling for group chats Enhance personality or tone configurations for more formal or casual responses 🧠 Nodes Used Telegram Trigger** Telegram** (Send Typing Indicator, Send Message, Download Voice) OpenAI** (Audio transcription) Langchain Google Gemini Model** Langchain AI Agents** (Reminder Message Agent, Calendar Manage! agent) Google Calendar** node (Get Upcoming Events) Google Calendar Tools** (Create, Update, Delete, Get events) Remove Duplicates** node Merge** node Switch** node Set** node Schedule Trigger** Memory Buffer Window** node 📞 Support Made by: khaisa Studio Tag: AI, Google Calendar, Telegram, Reminder, Schedule, Voice, OpenAI, Gemini, Category: Productivity Automation Need a custom? contact khaisa for more tailored templates

Multilingual Voice & Text Telegram Bot with ElevenLabs TTS and LangChain Agents

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Telegram Voice AI Assistant This n8n template creates a multimodal Telegram bot that dynamically responds to users: Replies with voice** when receiving voice messages (using ElevenLabs TTS) Replies with text** for text-based queries Supports custom AI tools (e.g., crypto APIs, databases, or custom functions) Built with LangChain Agents, it can integrate any external API or data source into conversations. Key Features 🎙️ Smart Response Logic Voice Query? → Voice Reply** Transcribes audio via ElevenLabs STT Processes with AI (Groq/Gemini) Converts text response to natural speech (ElevenLabs TTS) Text Query? → Text Reply** Bypasses TTS/STT for faster responses 🛠️ Extensible AI Tools Add your own tools: Database lookups Weather/stock APIs Custom Python functions RAG (document retrieval) Supports multi-step tool chaining (e.g., "Get BTC price → analyze trends → summarize") 🌐 Language & Context Auto-detects user language (via Telegram’s language_code) Maintains session memory (remembers conversation history) Use Cases Voice-first customer support** Crypto/analytics assistants** (e.g., "What’s Ethereum’s current gas fee?") Multilingual FAQ bots** Educational tutors** (voice-interactive learning) Requirements Telegram Bot Token** ElevenLabs API Key** (For TTS/STT) Groq API Key* or Google Gemini API Key* Customization Tips Change AI personality*: Modify the *systemMessage in the Voice Assistant node Add more models**: Swap Groq/Gemini for OpenAI, Anthropic, etc. Extend functionality**: Add RAG (Retrieval-Augmented Generation) for document queries Take this template to create a Siri-like AI assistant for Telegram in minutes! 🚀

Automated Property & Restaurant Bookings with AI Voice Calls via Telegram

This automation template is an AI-powered booking agent that schedules property viewings and reserves restaurant tables for you, all coordinated through Telegram. It checks your calendar to avoid conflicts, places the calls on your behalf, negotiates times, confirms details, and delivers a crisp summary back to Telegram—hands-free. Note: This workflow uses a voice-calling provider for outbound calls, your calendar for availability, and Telegram for notifications. Usage costs depend on your telephony provider, call duration, and any API usage.* Who Is This For? Home Buyers & Renters:** Queue up and confirm viewings without calling around. Real Estate Agents & Property Managers:** Automate client viewing scheduling and confirmations. Relocation Specialists & Assistants:** Coordinate multi-property tours with calendar-aware logic. Busy Professionals:** Let AI handle restaurant bookings and post-viewing meals. Concierge & Ops Teams:** Standardize bookings with structured logs and Telegram updates. What Problem Does This Workflow Solve? Scheduling property viewings and restaurant tables often means endless calls, conflicts, and coordination. This workflow removes the friction by: AI Phone Calls on Your Behalf:** Natural voice calls to agents/venues to secure slots. Calendar-Aware Booking:** Checks your real-time availability and avoids overlaps. Preference Handling:** Location, budget, party size, time windows, language, and notes. Instant Telegram Summaries:** Clear outcomes (confirmed, waitlist, action needed) and quick next steps. Scalable Coordination:** Handles multiple properties and dining options with fallback logic. How It Works Intent Capture (Telegram): You send a simple message (e.g., “Viewings tomorrow 17:00–20:00, Eixample, 2-bed; table for 4 at 21:30 near there”). Calendar Check: Reads free/busy blocks and suggests viable windows or alternatives. AI Calling: Places outbound calls to listing agents/restaurants, negotiates slots, and confirms. Result Parsing: Extracts confirmed time, address, contact name, reservation name, and special instructions. Telegram Delivery: Sends a concise recap plus optional quick-reply buttons (confirm/cancel/map/nav). Optional Calendar Hold: Adds confirmed bookings to your calendar and blocks time. Logging (Optional): Writes outcomes to a sheet/database for tracking and analytics. Setup Telephony Provider: Connect your AI calling service (API key). Configure voice/language. Calendar Access: Link Google Calendar (or similar). Grant read (and optionally write) access. Telegram Bot: Create a bot with BotFather and add the bot token to credentials. Environment/Credentials: Store calling API token, calendar credentials, Telegram token in n8n. Preferences: Set defaults for viewings (areas, price range, time windows) and dining (party size, cuisine, budget). Test Run: Trial a single booking to verify calling, calendar sync, and Telegram delivery. Requirements Accounts:** n8n, telephony provider, calendar account, Telegram bot. API Keys:** Telephony API token, Calendar credentials, Telegram bot token. Permissions:** Calendar read (and write if auto-blocking); outbound calls enabled. Budget:** Telephony per-minute fees and minor API costs where applicable. Features Dual-Domain Booking:** Property viewings + restaurant tables in one flow. Calendar Intelligence:** Checks conflicts and proposes best-fit time slots. Telegram-Native UX:** Simple prompts, instant confirmations, and quick actions. Preference Profiles:** Time windows, neighborhoods, max budget, language, and notes. Fallbacks & Alternatives:** Suggests nearby times/venues if first choice is unavailable. Multilingual Voice:** Configure voice and language to match region/venue. Structured Logs:** Optional recording of outcomes for reporting and audits. Extensible:** Add CRM, maps, SMS, or payment links as needed. Automate your day from tours to tables: message your intent on Telegram, and let the AI book, confirm, and keep your calendar clean—so you just show up on time.

Generate audio documentaries from web articles with ElevenLabs and BrowserAct

Generate audio documentaries from web articles to Telegram with ElevenLabs & BrowserAct This workflow transforms any web article or blog post into a high-production-value audio documentary. It automates the entire production chain—from scraping content and writing an engaging narrative script to generating realistic voiceovers—delivering a listenable MP3 file directly to your Telegram chat. Target Audience Commuters, podcast enthusiasts, content creators, and researchers who prefer listening to content over reading. How it works Analyze Intent: The workflow receives a message via Telegram. An AI Agent (using Google Gemini) classifies the input to determine if it is a casual chat or a request to process a URL. Scrape Content: If a valid link is detected, BrowserAct executes a background task to visit the webpage and extract the raw text. Write Script: A Scriptwriter Agent (using Claude via OpenRouter) converts the dry article text into a dramatic, narrative-driven script optimized for audio, including cues for pacing and tone. Generate Audio: ElevenLabs synthesizes the script into high-fidelity speech using a specific voice model (e.g., "Liam"). Deliver Output: The workflow sends the generated MP3 file and a formatted HTML summary caption back to the user on Telegram. How to set up Configure Credentials: Connect your Telegram, ElevenLabs, OpenRouter, Google Gemini, and BrowserAct accounts in n8n. Prepare BrowserAct: Ensure the AI Summarization & Eleven Labs Podcast Generation template is saved in your BrowserAct account. Select Voice: Open the Convert text to speech node and select your preferred ElevenLabs voice model. Configure Model: Open the OpenRouter node to confirm the model selection (e.g., Claude Haiku) or switch to a different LLM for scriptwriting. Activate: Turn on the workflow and send a link to your Telegram bot to test it. Requirements BrowserAct* account with the AI Summarization & Eleven Labs Podcast Generation* template. ElevenLabs** account. OpenRouter** account (or access to an LLM like Claude). Google Gemini** account. Telegram** account (Bot Token). How to customize the workflow Change the Persona: Modify the system prompt in the Scriptwriter node to change the narrative style (e.g., from "Documentary Host" to "Comedian" or "News Anchor"). Switch Output Channel: Replace the Telegram output node with a Google Drive or Dropbox node to archive the generated audio files for a podcast feed. Multi-Voice Support: Add logic to split the script into multiple parts and use different ElevenLabs voices to simulate a conversation between two hosts. Need Help? How to Find Your BrowserAct API Key & Workflow ID How to Connect n8n to BrowserAct How to Use & Customize BrowserAct Templates Workflow Guidance and Showcase Video How to Build an AI Podcast Generator: n8n, BrowserAct & Eleven Labs

Telegram Trading Bot Assistant | LLM Powered Trading Bot For Crypto/Forex

Purpose & Audience This n8n workflow telegram bot is designed for crypto, forex and stock traders, quantitative analysts, and AI enthusiasts who want to explore how different Large Language Models (LLMs) perform in real-world trading scenarios. Inspired by nof1.ai's Alpha Arena, where AI models compete with real capital to prove their trading capabilities, this template lets YOU run your own AI trading experiments—testing which "brain" generates the most profitable signals for BTCUSD (it can do technical analysis on any forex/crypto with any of the 5000+ assets available at Twelve Data) and other assets. Whether you're a day trader seeking automated technical analysis, a researcher comparing LLM performance, or simply curious about AI-driven trading—this workflow provides a sophisticated, customizable trading assistant powered by your choice of AI model. What It Does? Generates disciplined trading signals (BUY/SELL/NO_SIGNAL) with precise entry price, stop loss, and take profit levels for crypto assets (default: BTCUSD) Performs real-time technical analysis using 200 hourly candles—calculates RSI, MACD, Bollinger Bands, ATR, support/resistance, Fibonacci levels, and more Enforces strict risk management with 1.5x ATR stop losses and minimum 1:2 risk-reward ratios Acts as an intelligent telegram trading assistant that answers questions about indicators, market conditions, strategies, and provides educational guidance Supports multiple AI models (LLM swapping)—test Google Gemini, OpenAI GPT-4/5, Claude Sonnet/Opus, DeepSeek, Qwen, Groq, or local models (Ollama) Includes detailed reasoning for every signal with 10-15 sentences citing specific data points, confidence scores, and exit plans Handles context-aware conversations with mongo db memory node recent chat context or follow-up questions. 🧪 Experimental Nature - Important Disclaimer This is an EXPERIMENTAL trading tool. Performance varies significantly across different LLM models. Based on nof1.ai's live trading competition results (at the time of template creation): DeepSeek V3.1 showed +47% returns (highest performer) Qwen 3 Max achieved +35% returns Claude Sonnet 4.5 delivered +13% returns GPT-5 experienced -74% returns (lowest performer) Your mileage will vary. The same prompt can produce drastically different results depending on: Which AI model you use (the "brain" matters!) Market conditions during testing Your risk management discipline Assets volatility and liquidity We strongly recommend: Test with paper trading first (simulated trades, no real money) Experiment with multiple LLMs to find which performs best for your strategy Compare signals across models before executing trades Always validate signals manually—AI is a tool, not a replacement for judgment Never risk more than you can afford to lose This template is for educational/informational purposes. Trading involves substantial risk of loss. Past AI performance does not guarantee future results. Who Is It For? Crypto & Forex traders who want AI-assisted technical analysis and signal generation for BTC, ETH, SOL, and other assets Quant researchers exploring how different LLMs handle quantitative trading tasks AI enthusiasts curious about practical applications of models like DeepSeek, Qwen, Claude, and GPT in financial markets Algorithm developers who want a foundation to build more sophisticated trading systems Educators & students learning about algorithmic trading, technical analysis, or AI agent workflows Key Features ✅ Real-time market data integration via TwelveData API (5000+ crypto/forex/stock pairs supported) ✅ Swap AI models in minutes—compare Gemini vs Claude vs DeepSeek vs GPT performance ✅ Disciplined risk management—never suggests trades without proper stop losses ✅ Educational trading assistant—explains indicators, answers strategy questions ✅ Extensible architecture—easily add MongoDB memory, multi-timeframe analysis, alerts ✅ No recurring fees—pay only for LLM API usage (DeepSeek costs ~$0.001 per signal!) ✅ Asset-agnostic—switch from BTC to ETH to SOL by changing 2 parameters ✅ Production-ready foundation—includes comprehensive sticky note documentation for expansion How to Set Up? Import the workflow into your n8n instance and review the included sticky notes (comprehensive setup guide included) Choose your AI model—connect credentials for Gemini, OpenAI, Anthropic, DeepSeek, or others (switching models takes 60 seconds) Test in chat mode—ask "Analyze BTCUSD for a trade" and evaluate the signal quality Experiment with different LLMs—run the same analysis with 2-3 models and compare outputs That's it! Start chatting with your AI telegram trading assistant, test signals, and discover which "brain" works best for your trading style. The workflow includes detailed sticky notes with instructions for swapping models and modifying memory context window length. What You'll Need n8n instance (cloud or self-hosted) TwelveData API key (free tier included in template—800 requests/day) LLM API credentials (choose one or more): Google Gemini API (free tier available) OpenAI API (GPT-4/GPT-4o) Anthropic API (Claude Sonnet/Opus) DeepSeek API (ultra-cheap, strong performer per nof1.ai) Groq API (fast inference, free tier) Local Ollama (completely free, runs on your hardware) Telegram Bot Credentials MongoDB Account (Free Version) Performance Expectations Signal Generation Speed: 15-45 seconds (depends on LLM) API Cost Per Signal: $0.001 - $0.05 (DeepSeek cheapest, GPT-4 most expensive) Accuracy: Highly variable—60-80% directional accuracy possible with right model + market conditions Best Use Case: Confirming your own analysis, backtesting strategies, learning technical analysis Remember: This is NOT a get-rich-quick scheme. It's a sophisticated tool for traders who understand technical analysis and want AI assistance in processing market data faster than humanly possible.

Conversational Razorpay Analytics with Google Gemini & Telegram Bot

📝 Description Access your Razorpay insights instantly from Telegram—no dashboard, filters, or manual queries needed. Simply send messages like “show my payments”, “list recent orders”, or “check refunds”, and the bot retrieves the latest information from your Razorpay merchant account in seconds. Powered by AI, the workflow understands your message, fetches the relevant Razorpay data, and transforms it into a clear, easy-to-read summary. Everything is delivered back to you within the same Telegram chat, giving you fast, convenient, and conversational access to your business analytics. ⚙️ How It Works Trigger — Telegram Bot Message The workflow starts when a user sends a message to your Telegram bot via the Telegram Trigger node. Intent Classification An AI model analyzes the incoming message and identifies what the user is asking for. 🔹 Orders Intent Retrieves order information from Razorpay Handles pagination and filtering logic Uses AI to generate order summaries and insights 🔹 Refunds Intent Queries Razorpay for refund events Computes refund totals and status breakdowns Produces formatted summaries with the AI model 🔹 General Chat Intent Handles all non-transactional or fallback messages. Useful for: 💡 Use Cases Get instant Razorpay payment analytics in Telegram Retrieve daily or weekly order summaries View recent refund activity Provide your team with quick insight access directly from chat Automate repetitive Razorpay queries without dashboards 🧰 Requirements Razorpay API Credentials (Key ID + Key Secret) here) Telegram Bot Token 🚀 Setup Instructions Import this workflow into your n8n workspace. Add and configure your Razorpay and Telegram credentials. Activate the workflow. Start chatting with your Telegram bot to receive Razorpay insights on demand. 🖼️ Workflow Components This workflow includes the following nodes: Telegram Trigger – Receives user messages AI Intent Classifier – Detects what the user wants Payments Processor Orders Processor Refunds Processor General Chat Processor Merge + Telegram Reply – Sends final response

Automate Rental Agreements with BoldSign, Google Sheets & Gemini AI

Complete Video Documentation: https://youtu.be/O-bKlX3G7_4 Explanation WITH clean Video timestamps: Prerequisites: You need a rental agreement document, a BoldSign account (which has a free tier for testing) [00:44], a Google Sheet, and an n8n instance. BoldSign Setup: How to upload your agreement as a template, drag-and-drop the signature and text fields [01:13], get your API key [01:57], and set up a webhook to notify n8n when the agreement is signed or completed [02:13]. Workflow Logic: The video walks through the two main flows: Form Submission: A tenant fills out a form, which triggers n8n to save the details to Google Sheets and then call the BoldSign API to send the agreement to both the owner and tenant [03:01]. Completion: When both parties sign, BoldSign sends an event to the n8n webhook, which then filters for the "Completed" event and updates the Google Sheet [09:12]. Bonus: It also covers the Telegram bot setup, which lets an owner ask an AI about the status of agreements [11:52]. Prerequisites Before you build this, you'll need a few things: An n8n Instance: This can be on n8n.cloud or self-hosted. A Google Sheet: Create a new sheet with columns like Tenant Name, Tenant Email, Property, Estimated Rent per month, contract expiry, and agreement status. A BoldSign Account: An API Key. [01:57] A prepared rental agreement document (like a PDF or .docx). A BoldSign Template created from that document. You'll need to drag and drop the required fields (like signatures, dates, text boxes) onto the template. [01:13] A Telegram Bot (Optional): If you want the AI status checker, you'll need to create a bot with Telegram's BotFather to get an API token. A Google Gemini API Key (Optional): For the AI agent. In BoldSign, you would replace the {{...}} and [Date] parts with draggable form fields. Understanding the BoldSign API Node The key to sending the agreement is the Send aggrement to Tenant's Email node. This is a standard HTTP Request node, not a special BoldSign node. Method: POST URL: https://api.boldsign.com/v1/template/send?templateId=enter-your-template-id This is the official BoldSign API endpoint for sending a document based on a template. You must replace enter-your-template-id with the actual ID of the template you created in BoldSign [07:04]. Authentication: Header Auth BoldSign uses an API key in the header. You would create a credential in n8n where the Name is X-API-KEY and the Value is the secret API key you got from your BoldSign account [07:16]. Body: The jsonBody is the most important part [08:02]. It's a JSON object that tells BoldSign who to send the agreement to and what data to pre-fill. title: Sets the document title, like "Rental Agreement - 123 Main St". roles: This array defines the signers. One role is for the "Owner", dynamically filling their name and email from the form data. The second role is for the "Tenent" (Tenant), also filling their name and email. existingFormFields & mergeFields: This is where you dynamically insert data into the document. You map the data from your n8n form (like {{ $('Retrive Data from submitted form').item.json.address }}) to the id of the fields you created in your BoldSign template [08:16]. Workflow Explanation (From Scratch) This workflow is actually three separate flows that work together. Flow 1: New Tenant Onboarding (Form to Agreement) This is the main flow that kicks everything off when a new tenant is interested. Node: Tenant Form (Form Trigger) What it is: This node creates a public web form [03:10]. This is the starting point. From Scratch: You'd drag in a Form Trigger node. You add fields for "Your Name" (tenant's name) and "Your Email" (tenant's email). This Workflow: It also cleverly uses hidden fields [03:18] to store the owner's details, the property address, and the rent. This is a simple way to manage a single property. For multiple properties, you might use a database or a Google Sheet lookup. Node: Retrive Data from submitted form (Set) What it is: This node takes the messy data from the form and organizes it into clean, named variables (like tenant_name, address, estimated_rent) [05:25]. From Scratch: It's good practice to do this so the rest of your workflow is easy to read. It also calculates the expiry_date as one year from today. Node: Save the tenant Details (Google Sheets) What it is: This logs the new tenant in your Google Sheet before the agreement is sent [05:51]. From Scratch: You'd set this to "Append or Update" mode. It maps the variables ( tenant_name, tenant_email, etc.) to the correct columns in your sheet. Node: Send aggrement to Tenant's Email (HTTP Request) What it is: This is the BoldSign API call we just detailed. It takes all the data and sends the official signing request to both the owner's and tenant's email addresses [06:47]. Node: Update Agreement Status (Google Sheets) What it is: After the email is successfully sent, this node finds the row you just created (using the tenant's email as a key) and updates the agreement status column to "Pending Signing" [08:55]. This is great for tracking. Flow 2: Handling Signed Agreements (Webhook) This flow listens for activity. It doesn't run on a schedule; it waits for BoldSign to tell it something happened. Node: Webhook (Webhook Trigger) What it is: This node generates a unique URL [02:45]. You copy this URL and paste it into your BoldSign account's webhook settings [09:28]. From Scratch: Now, any time an event happens in BoldSign (like the document is viewed, signed, or completed), BoldSign will send a data packet to this URL, triggering the workflow. Node: If (If) What it is: This is a filter. The webhook gets all events, but we only care about the final one [10:49]. From Scratch: It's set to check the incoming data from the webhook. It looks at a header called x-boldsign-event and only continues if the value equals "Completed" [11:02]. This means it will ignore the "Signed" event (when just one person signs) and only proceed when both parties have signed. Node: Retrieve Tenant Email (Set) What it is: This node digs into the large JSON data packet from the webhook to find the tenant's email [11:17]. From Scratch: It uses a JavaScript .find() function to look through the signerDetails and pull the email for the person whose role was "Tenent" (Tenant). This gives us the unique key to update our spreadsheet. Node: Update Agreement Status as completed (Google Sheets) What it is: The final step\! Just like in Flow 1, this node finds the correct row in the Google Sheet (using the tenant's email) and updates the agreement status column to "Completed" [11:32]. Flow 3: AI-Powered Status Bot (Telegram) This is a bonus flow that lets the owner "chat" with the Google Sheet. Node: Telegram Trigger What it is: This listens for any new message sent to your Telegram bot [11:52]. Node: AI Agent (Langchain Agent) What it is: This is the "brain". It takes the message.text from the Telegram user [12:30]. From Scratch: Its prompt tells it to be a helpful assistant for rental agreements and to use the tools it's given. Node: Google Gemini Chat Model (Google Gemini) What it is: This is the Large Language Model (LLM) that the agent uses to think and form sentences. Node: Fetch Rental Agreements (Google Sheets Tool) What it is: This is not a regular node, but a Tool plugged into the AI Agent [12:35]. From Scratch: You give the AI agent this "tool" and tell it: "This tool, named 'Fetch Rental Agreements', can get all the data from the Google Sheet." When the user asks, "What's the status of Jane Doe's agreement?", the AI knows it must use this tool to get the sheet data before it can answer. Node: Send a text message (Telegram) What it is: This takes the final output from the AI Agent and sends it as a reply to the user in Telegram.

Automated SEO Watchlist: Continuous Audits with Decodo, Gemini & Google Sheets

Automated SEO Watchlist: Continuous Audits Powered by Decodo, Gemini and Google Sheets Automate continuous SEO audits with Decodo and Gemini AI — live data, smart insights, and Google Sheets tracking with team alerts. Who’s it for This workflow is designed for SEO specialists, marketing teams, agencies, and website owners who want an effortless, automated way to monitor SEO health. It’s perfect for ongoing audits, content monitoring, and proactive SEO management — without the manual workload. How it works / What it does Every five days, the workflow: Reads a list of URLs from Google Sheets. Uses Decodo to fetch live on-page data — titles, meta descriptions, headings, schema, links, and Core Web Vitals. Passes that data to Gemini AI for an advanced SEO analysis and scoring based on key factors (content, metadata, links, speed, and structure). Parses results via a Structured Output Parser for clean JSON output. Stores findings in Google Sheets and sends a Telegram alert when the audit completes. Why Decodo matters Decodo is the backbone of this workflow. It powers the real-time page inspection, ensuring Gemini AI has complete, accurate data to analyze. Decodo transforms static audits into live, intelligent monitoring — making your SEO insights far more actionable and reliable. How to set up Connect your Decodo API credentials. Add your Google Sheets URL list. Configure your Telegram bot credentials. Enable the workflow — it runs automatically every 5 days. Requirements Decodo API credentials Google Sheets OAuth connection Telegram Bot token n8n instance (Cloud or Self-hosted) How to customize the workflow Change the trigger interval in the Schedule Trigger node. Modify the SEO Analyzer (LLM Chain) weights for different scoring. Extend the Store Result node to integrate with dashboards or databases. Adjust the AI prompt for additional SEO checks (e.g., backlinks, readability, image optimization). ✅ Highlights Automated SEO auditing Real-time data from Decodo Smart analysis powered by Gemini AI Structured reporting in Google Sheets Team notifications via Telegram

Generate & Publish AI Faceless Videos to YouTube Shorts using Sora 2

How it Works This workflow lets you auto-generate cinematic faceless YouTube Shorts — completely on autopilot. It uses a custom automation setup to create short-form AI videos much cheaper than the standard Sora 2 video generation process. Perfect for running a fully automated Shorts or Reels channel that posts new videos daily — without showing your face or editing manually. Workflow Overview Schedule Trigger Automatically runs at your chosen times (e.g., twice per day). AI Prompt Generator Creates detailed, creative video ideas based on your chosen niche. You only need to adjust the system prompt (e.g., Travel Facts, Tech Visuals, Dream Loops, Mini-Facts, Nature Illusions). Output includes: Video Prompt (for Sora 2) AI-Generated Title & Description Social Caption with hashtags AI Video Generation Generates 9:16 vertical short-form videos optimized for YouTube Shorts, TikTok, and Instagram Reels. Runs via a cost-efficient automation layer, offering cinematic results at a fraction of Sora 2’s standard cost. Publishing Automation Uploads automatically to YouTube Shorts (title, description, and hashtags included). Can also post to Telegram or Instagram Reels with a small modification. Why Use This Workflow? 🎬 Faceless Content Made Easy Ideal for automated channels that post AI-generated visuals and storytelling — no filming or voice needed. 💸 Cheaper Than Sora 2’s Direct API Uses a custom route that drastically reduces costs while keeping near-cinematic quality. ⚙️ Full Automation From idea → video → upload — all handled automatically. You decide the posting frequency (e.g., 1–5 Shorts per day). 🌍 Multi-Niche Ready Works for any theme — facts, surreal visuals, art loops, mini documentaries, motivational clips, and more. 🚀 Cross-Platform Scaling Native support for YouTube & Telegram. Optional integrations for Instagram Reels or TikTok uploads. Setup Steps API Keys & Credentials Sora 2 access (or connected API key) YouTube API credentials (Optional) Telegram or Instagram API Define Schedule Choose how many videos to post per day. Adjust Prompts Customize the AI agent prompt to your niche. Launch & Scale Watch your faceless channel grow while everything runs automatically. Tips & Notes Start with one niche to test engagement, then duplicate the workflow for more channels. Add subtitles or trending sound layers for higher virality. The workflow is built for long-term, hands-off scalability — ideal for faceless automation entrepreneurs. ⚡ Summary Create an AI-powered faceless Shorts machine that works 24/7. Just pick your niche, adjust the prompt, and let automation handle video generation, upload, and growth — smarter and cheaper than doing it manually with Sora 2.

+2

Stock Market Analysis & Prediction with GPT, Claude & Gemini via Telegram

Introduction Automates stock market analysis using multiple AI models to predict trends, analyze sentiment, and generate consensus-based investment insights. For traders and analysts seeking data-driven forecasts by eliminating manual research and combining AI perspectives for accurate predictions. How It Works Daily trigger fetches stock data, news, ratings, and sentiment → AI models analyze each source → OpenAI generates report → Three AI validators (OpenAI, Anthropic, Gemini) cross-verify → Consensus evaluation → Telegram alert with insights. Workflow Template Schedule → Fetch Stock Data → Fetch News → Fetch Ratings → Fetch Sentiment → AI Analysis → Combine → Generate Report (GPT) → Validate (3 AIs) → Evaluate Consensus → Send Telegram Workflow Steps Data Collection: Scheduled trigger fetches prices, news, analyst ratings, and social trends AI Analysis: Separate models analyze stocks, news sentiment, ratings, and social discussions Report Generation: OpenAI GPT combines analyses into comprehensive market report Multi-AI Validation: Three AI models independently validate predictions for accuracy Consensus Building: Evaluates AI agreement to determine confidence levels Alert Delivery: Sends Telegram alerts with buy/sell/hold recommendations Setup Instructions Schedule: Configure daily trigger time Data Sources: Add API keys for stock data, news APIs, and social platforms AI Models: Configure OpenAI, Anthropic, and Google Gemini credentials Telegram: Create bot and add token Thresholds: Define consensus requirements for recommendations Prerequisites Stock data API (Alpha Vantage, Yahoo Finance) News API key Social media API OpenAI API key Anthropic API key Google Gemini API key Telegram bot token Use Cases Day Trading: Real-time volatile stock analysis with multiple AI perspectives. Portfolio Management: Daily consensus reports for rebalancing. Customization Add technical indicators (RSI, MACD). Include crypto analysis. Integrate portfolio tracking. Add email/Slack notifications. Configure sector-specific analysis. Benefits Eliminates hours of daily research. Reduces AI hallucination through multi-model validation. Provides 24/7 monitoring. Combines multiple data sources.

+2

Generate AI-Curated Reddit Digests for Telegram, Discord & Slack with Gemini

Automatically fetch, curate, and distribute Reddit content digests using AI-powered filtering. This workflow monitors multiple subreddits, ranks posts by relevance, removes spam and duplicates, then delivers beautifully formatted digests to Telegram, Discord, or Slack. Who's it for Perfect for content creators tracking trends, marketers monitoring discussions, researchers following specific topics, and community managers staying informed. Anyone who wants high-quality Reddit updates without manually browsing multiple subreddits. How it works The workflow fetches top posts from your chosen subreddits using Reddit's JSON API (no authentication required). Posts are cleaned, deduplicated, and filtered by upvote threshold and custom keywords. An AI model (Google Gemini, OpenAI, or Claude) then ranks remaining posts by relevance, filters out low-quality content, and generates a formatted digest. The final output is delivered to your preferred messaging platform on a schedule or on-demand. Setup requirements n8n version 1.0+ AI provider API key (Google Gemini recommended - has free tier) At least one messaging platform configured: Telegram bot token + chat ID Discord webhook URL Slack OAuth token + channel access How to set up Open the Configuration node and edit subreddit list, post counts, and keywords Configure the Schedule Trigger or use manual execution Add your AI provider credentials in the AI Content Curator node Enable and configure your preferred delivery platform (Telegram/Discord/Slack) Test with manual execution, then activate the workflow Customization options Subreddits**: Add unlimited subreddits to monitor (comma-separated) Time filters**: Choose from hour, day, week, month, year, or all-time top posts Keywords**: Set focus keywords to prioritize and exclude keywords to filter out Post count**: Adjust how many posts to fetch vs. how many appear in final digest AI prompt**: Customize ranking criteria and output format in the AI node Schedule**: Use cron expressions for hourly, daily, or weekly digests Output format**: Modify the formatting code to match your brand style Add email notifications, database storage, or RSS feed generation by extending the workflow with additional nodes.

+2

Automated Customer Feedback Triage with Gemini, Jotform, Google Sheets & Gmail Replies

Who’s it for Teams that collect product feedback with Jotform and want automated triage: instant alerts for urgent issues, knowledge-based replies to questions, and a clean backlog for suggestions. How it works / What it does New Jotform submissions are classified by Feedback Type (comments, questions, suggestions) and analyzed for sentiment. Angry or negative messages trigger a Telegram alert to your support channel. Questions are answered automatically using an agent that consults your internal Google Sheet “Q&A” database, then replies via Gmail with a styled HTML email. Suggestions are summarized, sent to a team chat, and appended to a Google Sheets backlog with name, email, summary, and date. All comments are logged to a structured sheet for reporting. How to set up Connect your Jotform form and map fields (Name, E-mail, feedback text). Add credentials for Google Sheets, Gmail, Telegram, and LLM. Point the agent to your “Q&A” sheet/tab. Test each branch (comments, questions, suggestions) with sample entries. Requirements Jotform account and live form n8n (self-hosted recommended if using community/LLM nodes) Google Sheets, Gmail, Telegram bot, and LLM API keys How to customize the workflow Adjust sentiment thresholds or add new categories in the Switch node. Edit the Gmail HTML template and subject line. Change backlog columns or target sheets/tabs. Add rate-limits, SLA timers, or different alert channels. Best practice: rename all nodes, add a yellow Sticky Note with this description and per-step notes, and group user-config variables in a Set node. Remove any hard-coded IDs before sharing Knowledge base table Suggestions database Sentiment database

+4

AI-Powered Dental Appointment System with Telegram, Google Calendar and Sheets

Overview This workflow is an AI-powered Dental Appointment Assistant that automates appointment booking, rescheduling, and cancellations through Telegram or a Webhook. It uses intelligent agents to understand user intent, gather details, manage Google Calendar events, update records in Google Sheets, and send confirmation emails — creating a fully automated and customizable booking system suitable for any business, not just dental clinics. How It Works User Interaction The workflow can be triggered via Telegram, Webhook, and can easily be extended to WhatsApp or Facebook Messenger. The Planning Agent starts the conversation and collects essential details like: Appointment type (book, update, or delete) Date and time preference Service type or reason for visit Personal details (name, email, etc.) Based on the user’s intent, it routes the conversation to the appropriate booking flow. Booking Flow The Booking Agent handles the actual scheduling logic. It interacts with Google Calendar to: Create new events for fresh appointments Update existing events for reschedules Delete events for cancellations It ensures proper validation (availability, overlaps, etc.) before confirming any calendar changes. Post-Booking Actions Once the booking action is completed: The Mail and Sheet Entry Agent updates the Google Sheet with user details such as: Name Email Appointment date & time Status (booked/updated/cancelled) Short description of the appointment Sends an email confirmation to the user (for all actions — create, update, or delete). Sends a final message via Telegram (or chosen platform) confirming the status of the appointment. How to Use Trigger the workflow via Telegram or a Webhook URL. The AI assistant will guide the user step-by-step through booking, updating, or cancelling an appointment. Once confirmed, the system: Updates Google Calendar automatically Logs the appointment details in Google Sheets Sends an email and chat confirmation message to the user Requirements To deploy this workflow, you’ll need: n8n account** (self-hosted or cloud) Telegram Bot Token**, or other chat integrations (WhatsApp / Facebook) OpenAI or OpenRouter API Key** (for AI conversation agents) Google Calendar API access** (to manage events) Google Sheets API access** (to store booking records) Gmail / SMTP credentials** (to send confirmation emails)

+2

Proxmox AI Agent with n8n and Generative AI Integration

Proxmox AI Agent with n8n and Generative AI Integration This template automates IT operations on a Proxmox Virtual Environment (VE) using an AI-powered conversational agent built with n8n. By integrating Proxmox APIs and generative AI models (e.g., Google Gemini), the workflow converts natural language commands into API calls, enabling seamless management of your Proxmox nodes, VMs, and clusters. Buy My Book: Mastering n8n on Amazon Full Courses & Tutorials: http://lms.syncbricks.com Watch Video on Youtube How It Works Trigger Mechanism The workflow can be triggered through multiple channels like chat (Telegram, email, or n8n's built-in chat). Interact with the AI agent conversationally. AI-Powered Parsing A connected AI model (Google Gemini or other compatible models like OpenAI or Claude) processes your natural language input to determine the required Proxmox API operation. API Call Generation The AI parses the input and generates structured JSON output, which includes: response_type: The HTTP method (GET, POST, PUT, DELETE). url: The Proxmox API endpoint to execute. details: Any required payload parameters for the API call. Proxmox API Execution The structured output is used to make HTTP requests to the Proxmox VE API. The workflow supports various operations, such as: Retrieving cluster or node information. Creating, deleting, starting, or stopping VMs. Migrating VMs between nodes. Updating or resizing VM configurations. Response Formatting The workflow formats API responses into a user-friendly summary. For example: Success messages for operations (e.g., "VM started successfully"). Error messages with missing parameter details. Extensibility You can enhance the workflow by connecting additional triggers, external services, or AI models. It supports: Telegram/Slack integration for real-time notifications. Backup and restore workflows. Cloud monitoring extensions. Key Features Multi-Channel Input**: Use chat, email, or custom triggers to communicate with the AI agent. Low-Code Automation**: Easily customize the workflow to suit your Proxmox environment. Generative AI Integration**: Supports advanced AI models for precise command interpretation. Proxmox API Compatibility**: Fully adheres to Proxmox API specifications for secure and reliable operations. Error Handling**: Detects and informs you of missing or invalid parameters in your requests. Example Use Cases Create a Virtual Machine Input: "Create a VM with 4 cores, 8GB RAM, and 50GB disk on psb1." Action: Sends a POST request to Proxmox to create the VM with specified configurations. Start a VM Input: "Start VM 105 on node psb2." Action: Executes a POST request to start the specified VM. Retrieve Node Details Input: "Show the memory usage of psb3." Action: Sends a GET request and returns the node's resource utilization. Migrate a VM Input: "Migrate VM 202 from psb1 to psb3." Action: Executes a POST request to move the VM with optional online migration. Pre-Requisites Proxmox API Configuration Enable the Proxmox API and generate API keys in the Proxmox Data Center. Use the Authorization header with the format: PVEAPIToken=<user>@<realm>!<token-id>=<token-value> n8n Setup Add Proxmox API credentials in n8n using Header Auth. Connect a generative AI model (e.g., Google Gemini) via the relevant credential type. Access the Workflow Import this template into your n8n instance. Replace placeholder credentials with your Proxmox and AI service details. Additional Notes This template is designed for Proxmox 7.x and above. For advanced features like backup, VM snapshots, and detailed node monitoring, you can extend this workflow. Always test with a non-production Proxmox environment before deploying in live systems. Start with n8n Learn n8n with Amjid Get n8n Book What is Proxmox

Search flights with Gemini via Telegram and send SerpAPI price alerts

📖 Overview A comprehensive flight price monitoring and AI assistant solution built entirely in n8n. Combines automated price tracking with intelligent conversational flight search via Telegram. Perfect for: ✈️ Tracking flight prices to favorite destinations 💰 Getting alerts when prices drop below threshold 🗓️ Planning trips with AI-powered flight searches 🌍 Finding best deals across airlines 📱 Managing travel plans through Telegram chat Requirements: n8n v1.123.0+ or v2.0.0+ SerpAPI key (500 free/month), Google Gemini API, Telegram bot token ⚡ What's in the Box Two Powerful Workflows | Workflow | Function | Trigger | |----------|----------|---------| | 🔔 Automated Monitoring | Tracks specific routes, alerts on price drops | Schedule (every 7 days) | | 💬 AI Flight Assistant | Interactive search with natural language | Telegram messages | Key Capabilities: 🎯 Set price thresholds and get instant alerts 🤖 Ask questions in natural language (Vietnamese/English) 🧠 AI remembers conversation context 📊 Compares prices across airlines ⚡ Real-time search results from Google Flights 🎯 Key Features 📅 Scheduled Price Checks**: Automatic monitoring every 7 days (customizable) 💡 Smart AI Assistant**: Understands "find cheapest flight to Bangkok next weekend" 🔔 Instant Alerts**: Telegram notifications when prices drop 🧠 Context-Aware**: AI remembers your preferences and previous searches 🌐 Multi-Language**: Handles Vietnamese and English seamlessly 📱 Mobile-Ready**: Full control via Telegram chat interface Technical Highlights: SerpAPI integration for real-time prices, Google Gemini Flash for AI responses, session-based conversation memory, Telegram HTML formatting, automatic date calculations (+5 days for returns) 🏗️ How It Works Workflow 1: Automated Monitoring Schedule Trigger → Configure Route → Search Flights → Extract Best Price ↓ Price < Threshold? → Send Alert Workflow 2: AI Assistant Telegram Message → AI Agent → Flight Search Tools → Format Response ↓ ↓ ↓ Understand Round-trip/One-way Telegram HTML Context Auto +5 days return Send to user 🛠️ Setup Guide Step 1: API Credentials Get SerpAPI key (https://serpapi.com), Google Gemini API (https://aistudio.google.com/app/apikey), Telegram bot token (@BotFather) Step 2: Configure Monitoring Edit Fields node: Set departure/arrival codes, price threshold, Telegram ID Step 3: AI Assistant Setup Link Gemini model to AI Agent, connect flight search tools, activate memory Step 4: Activate & Test Enable workflow, send test message to bot, verify alerts 💡 Usage Examples Automated Alert: ✈️ CHEAPEST TICKET Price: 2,450,000 VND Airline: Vietjet Air Time: 06:00 → 08:00 AI Chat: "Find round-trip tickets Hanoi to Bangkok tomorrow" "What's the cheapest flight to Nha Trang next weekend?" "Search one-way Da Nang to Singapore on March 15" 👤 About the Author Nguyen Thieu Toan (Nguyễn Thiệu Toàn / Jay Nguyen) AI Automation Specialist | n8n Workflow Expert Contact: 🌐 nguyenthieutoan.com 📘 Facebook 💼 LinkedIn 📧 Email: [email protected] More Nguyen Thieu Toan's n8n Template GenStaff Company: genstaff.net 📄 License Free for commercial/personal use. Keep author attribution when sharing.** Ready to never miss a flight deal again? Import this workflow and start tracking prices today! 🚀

+3

Automated Financial Tracker: Telegram Invoices to Notion with Gemini AI Reports

Automated Financial Tracker: Telegram Invoices to Notion with AI Summaries & Reports Tired of manually logging every expense? Streamline your financial tracking with this powerful n8n workflow! Snap a photo of your invoice in Telegram, and let AI (powered by Google Gemini) automatically extract the details, record them in your Notion database, and even send you a quick summary. Plus, get scheduled weekly reports with charts to visualize your spending. Automate your finances, save time, and gain better insights with this easy-to-use template! Transform your expense tracking from a chore into an automated breeze. Try it out! Overview: This workflow revolutionizes how you track your finances by automating the entire process from invoice capture to reporting. Simply send a photo of an invoice or receipt to a designated Telegram chat, and this workflow will: Extract Data with AI: Utilize Google Gemini's capabilities to perform OCR on the image, understand the content, and extract key details like item name, quantity, price, total, date, and even attempt to categorize the expense. Store in Notion: Automatically log each extracted transaction into a structured Notion database. Instant Feedback: Send a summary of the processed transaction back to your Telegram chat. Scheduled Reporting: Generate and send a visual summary of your expenses (e.g., weekly spending by category) as a chart to your preferred Telegram chat or group. This workflow is perfect for individuals, freelancers, or small teams looking to effortlessly manage their expenses without manual data entry. Key Features & Benefits: Effortless Expense Logging:** Just send a picture – no more typing! AI-Powered Data Extraction:** Leverages Google Gemini for intelligent invoice processing. Centralized Data in Notion:** Keep all your financial records neatly organized in a Notion database. Automated Categorization:** AI helps in categorizing your expenses (e.g., Food & Beverage, Transportation). Instant Summaries:** Get immediate confirmation and a summary of what was recorded. Visual Reporting:** Receive scheduled charts (e.g., bar charts of spending by category) directly in Telegram. Customizable:** Easily adapt the workflow to your specific needs, categories, and reporting preferences. Time-Saving:** Drastically reduces the time spent on manual financial administration. How It Works (Workflow Breakdown): The workflow is divided into two main parts: Part 1: Real-time Invoice Processing & Logging (## Auto Notes Transaction with Telegram and Notion database) Telegram Trigger (Telegram Trigger | When recive photo): Activates when a new photo is sent to the configured Telegram chat. Get Photo Info (Get Info Photo from telegram chat): Retrieves the details of the received photo. Get Image Info (Get Image Info): Prepares the image data. AI Data Extraction (Google Gemini Chat Model & Basic LLM Chain): The image data is sent to the Google Gemini Chat Model. A specific prompt instructs the AI to extract details (date, ID, name, quantity, price, total, category, tax) in a JSON array format and provide a summary message. The categories include Food & Beverage, Transportation, Utilities, Shopping, Healthcare, Entertainment, Housing, and Education. Parse AI Output (Parse To your object | Table): Structures the AI's JSON output for easier handling. Split Transactions (Split Out | data transaction): If an invoice contains multiple items, this node splits them into individual records. Record to Notion (Record To Notion Database): Each transaction item is added as a new page/entry in your specified Notion database, mapping fields like Name, Quantity, Price, Total, Category, Date, and Tax. Send Telegram Summary (Sendback to chat and give summarize text): The summary message generated by the AI is sent back to the original Telegram chat. Part 2: Scheduled Financial Reporting (## Schedule report to send on chanel or private message) Schedule Trigger (Schedule Trigger | for send chart report): Runs at a predefined interval (e.g., every week) to generate reports. Get Recent Data from Notion (Get Recent Data from Notions): Fetches transaction data from the Notion database for a specific period (e.g., the past week). Summarize Data (Summarize Transaction Data): Aggregates the data, for example, by summing up the 'total' amount for each 'category'. Prepare Chart Data (Convert Data to JSON chart payload): Transforms the summarized data into a JSON format suitable for generating a chart (e.g., labels for categories, data for spending amounts). Generate Chart (Generate Chart): Uses the QuickChart node to create a visual chart (e.g., a bar chart) from the prepared data. Send Chart to Telegram (Send Chart Image to Group or Private Chat): Sends the generated chart image to a specified Telegram chat ID or group. Nodes Used (Key Nodes): Telegram Trigger & Telegram Node:** For receiving images and sending messages/images. Google Gemini Chat Model (Langchain):** For AI-powered OCR and data extraction from invoices. Basic LLM Chain (Langchain):** To interact with the language model using specific prompts. Output Parser Structured (Langchain):** To structure the output from the language model. Notion Node:** For reading from and writing to your Notion databases. Schedule Trigger:** To automate the reporting process. Summarize Node:** To aggregate data for reports. Code Node:** Used here to format data for the chart. QuickChart Node:** For generating charts. SplitOut Node:** To process multiple items from a single invoice. Setup Instructions: Credentials: Telegram: Create a Telegram bot and get its API token. You'll also need the Chat ID where you'll send invoices and where reports should be sent. Google Gemini (PaLM) API: You'll need an API key for Google Gemini. Notion: Create a Notion integration and get the API key. Create a Notion database with properties corresponding to the data you want to save (e.g., Name (Title), Quantity (Number), Price (Number), Total (Number), Category (Select), Date (Text or Date), Tax (Number)). Share this database with your Notion integration. Configure Telegram Trigger: Add your Telegram Bot API token. When you first activate the workflow or test the trigger, send /start to your bot in the chat you want to use for sending invoices. n8n will then capture the Chat ID. Configure Google Gemini Node (Google Gemini Chat Model): Select or add your Google Gemini API credentials. Review the prompt in the Basic LLM Chain node and adjust if necessary (e.g., date format, categories). Configure Notion Nodes: Record To Notion Database: Select or add your Notion API credentials. Select your target Notion Database ID. Map the properties from the workflow (e.g., ={{ $json.name }}) to your Notion database columns. Get Recent Data from Notions: Select or add your Notion API credentials. Select your target Notion Database ID. Adjust the filter if needed (default is "past_week"). Configure Telegram Node for Reports (Send Chart Image to Group or Private Chat): Select or add your Telegram Bot API token. Enter the Chat ID for the group or private chat where you want to receive the reports. Configure Schedule Trigger (Schedule Trigger | for send chart report): Set your desired schedule (e.g., every Monday at 9 AM). Test: Send an image of an invoice to your Telegram bot and check if the data appears in Notion and if you receive a summary message. Wait for the scheduled report or manually trigger it to test the reporting functionality. Sticky Note Text for Your n8n Template: (These are suggestions. You would place these directly into the sticky notes within your n8n workflow editor.) Existing High-Level Sticky Notes: Auto Notes Transaction with Telegram and Notion database Schedule report to send on chanel or private message Specific Sticky Notes to Add: On Telegram Trigger | When recive photo:** 📸 INVOICE INPUT 📸 Bot listens here for photos of your receipts/invoices. Ensure your Telegram Bot API token is set in credentials. Near Google Gemini Chat Model & Basic LLM Chain:** 🤖 AI MAGIC HAPPENS HERE 🧠 Image is sent to Google Gemini for data extraction. Check 'Basic LLM Chain' to customize the AI prompt (e.g., categories, output format). Requires Google Gemini API credentials. On Parse To your object | Table:** ✨ STRUCTURING AI DATA ✨ Converts the AI's text output into a usable JSON object. Check the schema if you modify the AI prompt significantly. On Record To Notion Database:** 📝 SAVING TO NOTION 📝 Extracted transaction data is saved here. Configure with your Notion API key & Database ID. Map fields correctly to your database columns! On Sendback to chat and give summarize text:** 💬 TRANSACTION SUMMARY 💬 Sends a confirmation message back to the user in Telegram with a summary of the recorded expense. On Schedule Trigger | for send chart report:** 🗓️ REPORTING SCHEDULE 🗓️ Set how often you want to receive your spending report (e.g., weekly, monthly). On Get Recent Data from Notions:** 📊 FETCHING DATA FOR REPORT 📊 Retrieves transactions from Notion for the report period. Default: "Past Week". Adjust filter as needed. Requires Notion API credentials & Database ID. On Summarize Transaction Data:** ➕ SUMMARIZING SPENDING ➕ Aggregates your expenses, usually by category, to prepare for the chart. On Convert Data to JSON chart payload (Code Node):** 🎨 PREPARING CHART DATA 🎨 This Code node formats the summarized data into the JSON structure needed by QuickChart. On Generate Chart (QuickChart Node):** 📈 GENERATING VISUAL REPORT 📈 Creates the actual chart image based on your spending data. You can customize chart type (bar, pie, etc.) here. On Send Chart Image to Group or Private Chat:** 📤 SENDING REPORT TO TELEGRAM 📤 Delivers the generated chart to your chosen Telegram chat/group. Set the correct Chat ID and Bot API token. General Sticky Note (Place where relevant):** 🔑 CREDENTIALS NEEDED 🔑 Remember to set up API keys/tokens for: Telegram Google Gemini Notion General Sticky Note (Place where relevant):** 💡 CUSTOMIZE ME! 💡 Adjust AI prompts for better accuracy. Change Notion database structure. Modify report frequency and content. `

+2

End of Turn Detection for smoother AI agent chats with Telegram and Gemini

This n8n template demonstrates one approach to achieve a more natural and less frustration conversations with AI agents by reducing interrupts by predicting the end of user utterances. When we text or chat casually, it's not uncommon to break our sentences over multiple messages or when it comes to voice, break our speech with the odd pause or umms and ahhs. If an agent replies to every message, it's likely to interrupt us before we finish our thoughts and it can get very annoying! Previously, I demonstrated a simple technique for buffering each incoming message by 5 seconds but that approach still suffers in some scenarios when more time is needed. This technique has no arbitrary time limit and instead uses AI to figure out when its the agent's turn based on the user's message, allowing for the user to take all the time they need. How it works Telegram messages are received but no reply is generated for them by default. Instead they are sent to the prediction subworkflow to determine if a reply should be generated. The prediction subworkflow begins by checking Redis for the current user's prediction session state. If this is a new "utterance", it kicks off the "predict end of utterance" loop - the purpose of which is to buffer messages in a smart way! New users message can continue to be accepted by the workflow until enough is collected to allow our prediction classifier to determine the end of the utterance has been reached. The loop is then broken and the buffered chat messages are combined and sent to the AI agent to generate a response and sent to the user via the telegram node. The prediction session state is then deleted to signal the workflow is ready to start again with a new message. How to use This system sits between your preferred chat platform and the AI agent so all you need to do is replace the telegram nodes as required. Where LLM-only prediction isn't working well enough, consider more traditional code-based checking of heuristics to improve the detection. Ideally you'll want a fast but accurate LLM so your user isn't waiting longer than they have to - at time of writing Gemini-2.5-flash-lite was the fastest in testing but keep a look out for smaller and more powerful LLMs in the future. Requirements Gemini for LLM Redis for session management Telegram for chat platform

+5

Publish LinkedIn & X Posts with Telegram Bot, Gemini AI & Vector Memory

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

+13

Build a Multi-functional Telegram Bot with Gemini, RAG PDF Search & Google Suite

The Ultimate Beginner's Guide to an AI-Powered Telegram Assistant (PDF, Brave search & Google Suite) This comprehensive workflow bundle is designed as a powerful starter kit, enabling you to build a multi-functional AI assistant on Telegram. It seamlessly integrates AI-powered voice interactions, an intelligent PDF document search using a Retrieval-Augmented Generation (RAG) system, and automates various Google Suite tasks like calendar management and document generation. Perfect for beginners looking to explore advanced AI and automation capabilities. Disclaimer This template is designed for self-hosted n8n instances. 🚀 Key Features Telegram Bot Interface:** Interact with your AI assistant using both text and voice commands through Telegram. AI Voice Bot:** Transcribes user voice messages using OpenAI Whisper. Processes requests with an AI agent powered by Google Gemini. Responds with AI-synthesized voice using Replicate API. PDF RAG System:** Index PDF documents from Google Drive via Telegram commands. Utilizes Mistral AI for Optical Character Recognition (OCR) on PDFs. Stores document content and embeddings in a Qdrant vector database. Answers questions about your documents using Google Gemini, based on retrieved context. Google Suite Automation:** Manage Google Calendar: Create events, find upcoming holidays, and list birthdays. Google Drive: Search for PDF files and manage document templates. Google Docs: Automatically generate invoices from templates. Intelligent Web Search:** Employs Brave Search for fetching real-time information from the web. Versatile AI Agent:** Leverages Google Gemini with a suite of tools including a calculator, date & time utilities, and custom integrations (e.g., example Airbnb tools). Command-Driven Functionality:** Easily trigger specific actions using Telegram commands like /help, /pdf, /rag, /invoice, /chat, /brave, and /birthday. ⚙️ How It Works The workflow is initiated by messages or commands sent to your Telegram bot. A central Switch node directs the flow based on the input received. Telegram Interaction & Command Routing A Telegram Trigger node listens for new messages (text or voice). A "typing..." indicator is sent to Telegram for better user experience. The Switch node parses the message content and routes it to the appropriate sub-workflow based on predefined commands (e.g., /pdf, /rag, /voice) or general chat. AI Voice Bot Functionality For voice messages (or if the voice path is triggered): The voice file is downloaded from Telegram. OpenAI Whisper transcribes the audio into text. The transcribed text is fed to an AI Agent (powered by Google Gemini and equipped with various tools and memory). The AI Agent's text response is then sent to the Replicate API to generate a natural-sounding voice. The generated audio response is sent back to the user on Telegram. PDF RAG System with Mistral OCR & Qdrant Indexing PDFs (via /qdrant <Google_Drive_File_ID> command):** The specified PDF is downloaded from Google Drive. The PDF is uploaded to Mistral AI for OCR processing. The extracted text (in markdown format) is retrieved. The text is split into manageable chunks. OpenAI Embeddings are generated for each chunk. These chunks and their embeddings are stored in a Qdrant vector collection. A confirmation message is sent to Telegram. Querying PDFs (via /rag <your_question> command):** The user's question is processed by a RetrievalQA Chain. This chain uses Google Gemini as the Language Model and retrieves relevant document chunks from Qdrant based on semantic similarity (embeddings). Google Gemini then generates a concise answer based on the user's question and the retrieved contextual information from the documents. The answer is sent back to the user on Telegram. Searching PDFs in Drive (via /pdf <search_term> command):** Searches your Google Drive for PDF files matching the provided search term. Sends a list of found PDF files (name and ID) to the user on Telegram, allowing them to easily identify files for indexing with /qdrant. AI Chat & Task Automation (General Chat & /chat command) Handles general text messages or transcribed voice inputs that are not specific commands. An AI Agent (Google Gemini) processes these inputs. The agent is equipped with tools such as: Google Calendar Tools: To create events, find the next public holiday, or list upcoming birthdays. Brave Search Tool: To search the internet for information. Calculator Tool: For mathematical computations. Date & Time Utility: For handling and formatting dates. Example Airbnb Tools: Demonstrates extensibility for custom tool integrations. The agent utilizes a "Think Node" process for reasoning and Window Buffer Memory to maintain conversational context. Responses are formulated and sent back to the user on Telegram. Google Automations Invoice Generation (via /invoice command):** Copies a predefined Google Docs invoice template from your Google Drive. Populates the new document with details (client name, items, etc. – currently uses placeholder data from an 'Edit Fields' node, which can be customized to parse input from the command). Converts the populated Google Doc into a PDF file. Sends the generated PDF invoice to the user via Telegram. Calendar Management (via AI Agent or specific commands like /birthday):** The /birthday command fetches upcoming birthdays from a specified Google Calendar. The AI Agent can also interact with Google Calendar to create events or retrieve information based on natural language requests. Web Search (via /brave <query> command or AI Agent) Performs a web search using the Brave Search API. Returns a list of search results, including titles and URLs, to the user on Telegram. Help Command (/help) Provides the user with a formatted list of all available Telegram commands and their basic usage instructions. 🛠️ Setup Steps & Credentials To get this workflow bundle up and running, you'll need to configure several credentials: Telegram: Create a new bot via @BotFather on Telegram to obtain a Bot Token. Add this token to the Telegram Trigger node and all Telegram (sender) nodes in the workflow. OpenAI: Obtain an API Key from platform.openai.com. Create an OpenAI credential. Use this credential in the Convert audio to text (OpenAI node for Whisper transcription) and all Embeddings OpenAI nodes (for RAG system). Replicate API (Text-to-Speech): Sign up at replicate.com and get your API token. Create an HTTP Bearer Auth credential using this token. Assign this credential to the Call Replicate API (HTTP Request) node. Google Gemini (PaLM API): Get an API key from Google AI Studio or Google Cloud Console. Create a Google Gemini(PaLM) Api credential. Assign it to all Google Gemini Chat Model nodes. Qdrant (Vector Database): Set up a Qdrant instance (either cloud-hosted or self-managed). Note your Qdrant instance URL and API Key (if security is enabled). Create a QdrantApi credential with these details. Assign it to the Qdrant Vector Store nodes. For the Refresh collection node (an HTTP Request node used to clear the collection for /pdf command demo), create an HTTP Header Auth credential with your Qdrant API key if required by your instance. Mistral AI (PDF OCR): Obtain an API key from console.mistral.ai. Create a Mistral Cloud API credential. Assign this to the Mistral Upload, Mistral Signed URL, and Mistral DOC OCR (HTTP Request) nodes. Google Drive & Google Docs: Ensure the Google Drive API and Google Docs API are enabled in your Google Cloud Console project. Set up OAuth 2.0 credentials (Client ID and Client Secret). Create Google Drive OAuth2 Api and Google Docs OAuth2 Api credentials. Assign these to the respective Google Drive and Google Docs nodes throughout the workflow. Important: Configure relevant Folder IDs (for PDF search, invoice template source, invoice output) and the invoice template Document ID in the Google Drive and Google Docs nodes. Google Calendar: Enable the Google Calendar API in your Google Cloud Console project. Set up OAuth 2.0 credentials. Create a Google Calendar OAuth2 Api credential. Assign it to the Google CalendarTool and Google Calendar nodes. Specify the correct calendar names or IDs in the nodes (e.g., for birthdays, holidays, new event creation). Brave Search: Get a Brave Search API key from their developer portal. Create a Brave Search API credential. Assign it to the Brave Search nodes and tools. (Optional) Airbnb MCP Client: The workflow includes example nodes for Airbnb MCP tools. If you intend to use or expand these, set up the corresponding MCP Client API credentials. 💡 Customization & Learning This "Beginner Bundle" is not just a ready-to-use solution but also a fantastic learning resource: Explore AI Agent Prompts:** Dive into the AI Agent nodes to see how prompts are structured to guide the LLM's behavior, including the "Think Node" process and character guidance for robust messaging. Modify Toolsets:** Easily add or remove tools for the AI agent to expand its capabilities. Invoice Customization:** Adapt the Edit Fields node and the Google Docs template to match your invoicing needs. You can extend it to parse invoice details directly from the Telegram command. RAG Parameters:** Experiment with chunk sizes, overlap, and different embedding models in the RAG pipeline. Extend Commands:** Add new commands and corresponding functionalities by expanding the main Switch node and building out new automation paths. By setting up and dissecting this workflow, beginners can gain a practical understanding of building complex, AI-driven applications, integrating various services, and managing different data flows.

Handle e-commerce support on Telegram with Gemini and Google Sheets

Telegram E-Commerce Customer Support Bot with AI Agent & Google Sheets An AI-powered Telegram bot that automates customer support for e-commerce stores — handling order tracking, order cancellations, and support ticket creation, all without human intervention. Built with a Gemini AI Agent + Simple Memory, the bot understands natural language, remembers the conversation context per user, and reads/writes directly to your Google Sheets — no database or backend required. How It Works A customer messages the Telegram bot or taps a menu button The AI Agent (powered by Google Gemini) reads the message and decides what to do Simple Memory** keeps track of the full conversation per user, so the bot never forgets context mid-flow The agent calls one of three Google Sheets tools depending on intent: Read Orders Sheet — looks up order details by Order ID or email Update Order Status — sets an order's status to Cancelled after confirmation Create Support Ticket — appends a new ticket row to the support sheet with auto-categorisation The response is sent back to the user via Telegram How to Use Step 1 — Create a Telegram Bot Open @BotFather on Telegram, run /newbot, and copy your bot token. Add it as a Telegram credential in n8n. Step 2 — Set Up Google Sheets Create a Google Spreadsheet with two sheets (tabs): Sheet 1 — Sheet1 (Orders): | order_id | customer_name | email | product | Status | date | Sheet 2 — Sheet1 (Support Tickets — separate spreadsheet): | ticket_id | name | order_id | query | summary | category | status | created_at | telegram_id | Step 3 — Add Credentials in n8n Telegram Bot** — paste your BotFather token Google Sheets OAuth2** — connect your Google account Google Gemini (PaLM API)** — add your API key from Google AI Studio Step 4 — Update Sheet IDs In the three Google Sheets tool nodes, replace the documentId values with your actual spreadsheet IDs (found in the Google Sheets URL). Step 5 — Activate & Register Webhook Activate the workflow in n8n. If running locally, use ngrok to expose your n8n port over HTTPS, then register the webhook: https://api.telegram.org/bot<YOUR_TOKEN>/setWebhook?url=https://<YOUR_NGROK_URL>/webhook/telegram-ecom-bot Step 6 — Test Open your bot in Telegram and send /start. You should see the welcome message with three menu buttons. Requirements n8n (self-hosted or cloud) Telegram Bot (via BotFather — free) Google account with access to Google Sheets Google Gemini API key (free tier available at aistudio.google.com) Customising This Workflow Change the LLM** — swap Google Gemini for OpenAI GPT-4o or any other n8n-supported model by replacing the Google Gemini Chat Model node Add more menu options** — extend the /start welcome node with additional inline keyboard buttons and update the system prompt to handle new intents Add manager notifications** — connect a Telegram or email node after the Create Support Ticket tool to notify your team when a new ticket is raised Use a database instead of Sheets** — replace the Google Sheets tool nodes with PostgreSQL or MySQL nodes for higher-volume production use Change cancellation rules** — edit the system prompt to block cancellations for different statuses (e.g. block Ready in addition to Shipped) Add order lookup by phone number** — extend the orders sheet with a phone column and update the system prompt accordingly

+2

Analyze brand competitors using Decodo, Gemini, Telegram and Google Sheets

Analyze brand competitors using Decodo, Gemini, Telegram, and Google Sheets Sign up for Decodo — get better pricing here Who’s it for This workflow is built for content researchers, SEO teams, marketers, educators, and analysts who want to discover and analyze Brand competitor content at scale. It’s especially useful if you need structured insights from pages based on a search query, without manually opening or reviewing each result. How it works / What it does This workflow turns a simple keyword into structured, actionable insights. It starts when a user submits a query through a form. Decodo is used as the core technology to perform a Google search and return relevant organic results. Decodo retrieves the page content, which is cleaned and converted into plain text. An AI agent powered by Gemini analyzes the content to generate clear key points and key takeaways. The extracted insights, along with the source title and link, are saved to Google Sheets for easy review and analysis. A short summary is also sent to Telegram, making it easy to monitor results in real time. How to set up Add your Decodo API credentials. Connect your Google Gemini API credentials. Connect Google Sheets OAuth. Update the target Google Sheet and worksheet. Submit a keyword to start the analysis. Requirements Decodo API account Google Gemini API credentials Google Sheets OAuth credentials n8n self-hosted instance > This workflow uses Decodo community nodes and is intended for self-hosted n8n environments. How to customize the workflow Change the Decodo search query to target different topics or niches. Limit or batch results by adjusting the split and loop logic. Modify the AI prompt to extract different insights. Replace Google Sheets with another database or workspace tool. Add filters, alerts, or scoring logic for advanced analysis.

Analyze food ingredients from Telegram photos using Gemini and Airtable

Analyze food ingredients from Telegram photos using Gemini and Airtable 🛡️ Personal Ingredient Bodyguard Turn your Telegram bot into an intelligent food safety scanner. This workflow analyzes photos of ingredient labels sent via Telegram, extracts the text using AI, and cross-references it against your personal database of "Good" and "Bad" ingredients in Airtable. It solves the problem of manually reading tiny, complex labels for allergies or dietary restrictions. Whether you are Vegan, Halal, allergic to nuts, or just avoiding specific additives, this workflow acts as a strict, personalized bodyguard for your diet. It even features a customizable "Persona" (like a Sarcastic Bodyguard) to make safety checks fun. 🎯 Who is it for? People with specific dietary restrictions (Vegan, Gluten-free, Keto). Individuals with food allergies (Nuts, Dairy, Shellfish). Special dietary observers (Halal, Kosher). Health-conscious shoppers avoiding specific additives (e.g., E120, Aspartame). 🚀 How it works Trigger: You send a photo of a product label to your Telegram Bot. Fetch Rules: The workflow retrieves your active "Watchlist" (Ingredients to avoid/prefer) and "Persona" settings from Airtable. Vision & Logic: It uses an AI Vision model to extract text from the image (OCR) and Google Gemini to analyze the text against your strict veto rules (e.g., "Safe" only if ZERO bad items are found). Response: The bot replies instantly on Telegram with a Safe/Unsafe verdict, highlighting detected ingredients using HTML formatting. Log: The result is saved back to Airtable for your records. ⚙️ How to set up This workflow relies on a specific Airtable structure to function as the "Brain." Set up Airtable Sign up for Airtable: Click here Copy the required Base: Click here to copy the "Ingredients Brain" base Connect Airtable to n8n (5-min guide): Watch Tutorial Set up Telegram Message @BotFather on Telegram to create a new bot and get your API Token. Add your Telegram credentials in n8n. Configure AI Add your Google Gemini API credentials. Note on OCR: This template is configured to use a local LLM for OCR to save costs (via the OpenAI-compatible node). If you do not have a local model running, simply swap the "OpenAI Chat Model" node for a standard GPT-4o or Gemini Vision node. 📋 Requirements n8n** (Cloud or Self-hosted) Airtable** account (Free tier works) Telegram** account Google Gemini** API Key Local LLM* (Optional, for free OCR) OR OpenAI/Gemini* Key (for standard Cloud Vision) 🎨 How to customize Change the Persona:** Go to the "Preferences" table in Airtable to change the bot's personality (e.g., "Helpful Nutritionist") and output language. Update Ingredients:** Add or remove items in the "Watchlist" table. Mark them as "Good Stuff" or "Bad Stuff" and set Status to "Active". Adjust Sensitivity:** The AI prompt in the "AI Agent" node is set to strict "Veto" mode (Bad overrides Good). You can modify the system prompt to change this logic. ⚠️ Disclaimer This tool is for informational purposes only. Not Medical Advice: Do not rely on this for life-threatening allergies. AI Limitations: OCR can misread text, and AI can hallucinate. Verify: Always double-check the physical product label. Use at your own risk.

Create AI Nature Videos with Sora 2 (Kie AI), Gemini, and Send to Telegram

Generate stunning 10-second AI-crafted nature stock videos on autopilot and deliver them straight to your Telegram chat—perfect for content creators seeking effortless inspiration without the hassle of manual prompting or editing. 📋 What This Template Does This workflow automates the creation and delivery of high-quality, 10-second nature-themed videos using AI generation tools. Triggered on a schedule, it leverages Google Gemini to craft precise video prompts, submits them to the Kie AI API for video synthesis, polls for completion, downloads the result, and sends it via Telegram. Dynamically generates varied nature scenes (e.g., misty forests, ocean sunsets) with professional cinematography specs. Handles asynchronous video processing with webhook callbacks for efficiency. Ensures commercial-ready outputs: watermark-free, portrait aspect, natural ambient audio. Customizable schedule for daily/weekly bursts of creative B-roll footage. 🔧 Prerequisites n8n instance with HTTP Request and LangChain nodes enabled. Google Gemini API access for prompt generation. Kie AI API account for video creation (supports Sora-like text-to-video models). Telegram Bot setup for message delivery. 🔑 Required Credentials Google Gemini API Setup Go to aistudio.google.com → Create API key. Ensure the key has access to Gemini 1.5 Flash or Pro models. Add to n8n as "Google Gemini API" credential type. Kie AI API Setup Sign up at kie.ai → Dashboard → API Keys. Generate a new API key with video generation permissions (sora-2-text-to-video model). Add to n8n as "HTTP Header Auth" credential (header: Authorization, value: Bearer [Your API Key]). Telegram Bot API Setup Create a bot via @BotFather on Telegram → Get API token. Note your target chat ID (use @userinfobot for personal chats). Add to n8n as "Telegram API" credential type. ⚙️ Configuration Steps Import the workflow JSON into your n8n instance. Assign the required credentials to the Gemini, Kie AI, and Telegram nodes. Update the Telegram node's chat ID with your target chat (e.g., personal or group). Adjust the Schedule Trigger interval (e.g., daily at 9 AM) via node settings. Activate the workflow and monitor the first execution for video delivery. 🎯 Use Cases Content creators automating daily social media B-roll: Generate fresh nature clips for Instagram Reels or YouTube intros without filming. Marketing teams sourcing versatile stock footage: Quickly produce themed videos for campaigns, like serene landscapes for wellness brands. Educational bots for classrooms: Deliver randomized nature videos to Telegram groups for biology lessons on ecosystems and wildlife. Personal productivity: Schedule motivational nature escapes to your chat for remote workers needing quick digital breaks. ⚠️ Troubleshooting Video generation fails with quota error: Check Kie AI dashboard for usage limits and upgrade plan if needed. Prompt output too generic: Tweak the Video Prompting Agent's system prompt for more specificity (e.g., add seasonal themes). Telegram send error: Verify bot token and chat ID; test with a simple message node first. Webhook callback timeout: Ensure n8n production URL is publicly accessible; use ngrok for local testing.

+3

Real-time Sales Quote Creation in Odoo via Telegram with Google Gemini AI

Overview This template connects Telegram with Odoo to let your sales team create sales quotes and check product availability in real-time — just by sending chat messages. It’s designed for sales representatives, distributors, and small business owners who want to manage quotes and product information quickly without logging into Odoo. ⚙️ How It Works Once configured, this workflow listens to your Telegram bot for incoming messages. Based on the message text, it performs different actions in Odoo: Product Queries Sales reps can ask about products directly in Telegram: “What’s the price of Product B?” “How many units of Product A are available?” The workflow fetches real-time data from Odoo and replies instantly. Sales Quote Creation Sales reps can also create new sales quotes by typing messages like: “My customer Amazon, his email address is [email protected] wants to buy 10 pcs of Product A and 15 pcs of Product B.” The workflow extracts relevant details, creates a sales quote in Odoo, and sends confirmation back in Telegram. 🧰 Setup Instructions Create a Telegram Bot Go to @BotFather on Telegram. Create a new bot and copy the API Token. Prepare Odoo Enable the Sales and Product modules. Generate an API Key from your Odoo user account. Note your Odoo URL (e.g., https://yourcompany.odoo.com). Import Workflow Open your n8n instance (self-hosted or cloud). Click Import Workflow and upload the provided JSON file. Add Credentials Configure your Telegram credentials (Bot Token). Configure your Odoo credentials (Base URL + API Key). Activate the Workflow Set the workflow to active to start listening for Telegram messages. Send a sample message to your bot to test. 🧠 Use Cases Sales reps capturing orders in the field SMEs managing customer inquiries directly from Telegram Real-time price and stock lookups without opening Odoo Automation of repetitive sales quote tasks 🎛️ Customization Options This workflow can be easily adapted to your business needs: Change trigger platform: Replace Telegram with WhatsApp, Slack, or Discord using the respective n8n nodes. Extend data fields: Add fields like delivery date, salesperson, or payment terms. Auto-confirm orders: Add a node to automatically confirm a Sales Quote once approved. ✅ Requirements Odoo v14 or later (with Sales module enabled) Telegram Bot Token n8n instance (Cloud or self-hosted) 💬 Example Prompts Product Query: “What’s the price of Product B?” “How many units of Product A are available?” Order Entry: “My customer Amazon, his email address is [email protected] wants to buy 10 pcs of Product A and 15 pcs of Product B.”

AI-Powered NDA Review & Instant Alert System - Jotform, Gemini, Telegram

This workflow automates the process of analyzing a contract submitted via a web form. It extracts the text from an uploaded PDF, uses AI to identify potential red flags, and sends a summary report to a Telegram chat. Prerequisites Before you can use this workflow, you'll need a few things set up. JotForm Form You need to create a form in JotForm with at least two specific fields: Email Address**: A standard field to collect the user's email. File Upload**: This field will be used to upload the contract or NDA. Make sure to configure it to allow .pdf files. API Keys and IDs JotForm API Key**: You can generate this from your JotForm account settings under the "API" section. Gemini API Key**: You'll need an API key from Google AI Studio to use the Gemini model. Telegram Bot Token**: Create a new bot by talking to the @BotFather on Telegram. It will give you a unique token. Telegram Chat ID**: This is the ID of the user, group, or channel you want the bot to send messages to. You can get this by using a bot like @userinfobot. Node-by-Node Explanation Here is a breakdown of what each node in the workflow does, in the order they execute. JotForm Trigger What it does**: This node kicks off the entire workflow. It actively listens for new submissions on the specific JotForm you select. How it works**: When someone fills out your form and hits "Submit," JotForm sends the submission data (including the email and a link to the uploaded file) to this node. Grab Attachment Details (HTTP Request) What it does**: The initial data from JotForm doesn't contain a direct download link for the file. This node takes the submissionID from the trigger and makes a request to the JotForm API to get the full details of that submission. How it works**: It constructs a URL using the submissionID and your JotForm API key to fetch the submission data, which includes the proper download URL for the uploaded contract. Grab the Attached Contract (HTTP Request) What it does**: Now that it has the direct download link, this node fetches the actual PDF file. How it works**: It uses the file URL obtained from the previous node to download the contract. The node is set to expect a "file" as the response, so it saves the PDF data in binary format for the next step. Extract Text from PDF File What it does**: This node takes the binary PDF data from the previous step and extracts all the readable text from it. How it works**: It processes the PDF and outputs plain text, stripping away any formatting or images. This raw text is now ready to be analyzed by the AI. AI Agent (with Google Gemini Chat Model) What it does**: This is the core analysis engine of the workflow. It takes the extracted text from the PDF and uses a powerful prompt to analyze it. The "Google Gemini Chat Model" node is connected as its "brain." How it works**: It sends the contract text to the Gemini model. The prompt instructs Gemini to act as an expert contract analyst. It specifically asks the AI to identify major red flags and hidden/unfair clauses. It also tells the AI to format the output as a clean report using Telegram's MarkdownV2 style and to keep the response under 1500 characters. Send a text message (Telegram) What it does**: This is the final step. It takes the formatted analysis report generated by the AI Agent and sends it to your specified Telegram chat. How it works**: It connects to your Telegram bot using your Bot Token and sends the AI's output ($json.output) to the Chat ID you've provided. Because the AI was instructed to format the text in MarkdownV2, the message will appear well-structured in Telegram with bolding and bullet points.

+4

Cheaper, Faster, Accurate Answers with Memory Summarization & Dynamic Routing!

🤖💬 Smart Telegram AI Assistant with Memory Summarization & Dynamic Model Selection > Optimize your AI workflows, cut costs, and get faster, more accurate answers. 📋 Description Tired of expensive AI calls, slow responses, or bots that forget your context? This Telegram AI Assistant template is designed to optimize cost, speed, and precision in your AI-powered conversations. By combining PostgreSQL chat memory, AI summarization, and dynamic model selection, this workflow ensures you only pay for what you really need. Simple queries get routed to lightweight models, while complex requests automatically trigger more advanced ones. The result? Smarter context, lower costs, and better answers. This template is perfect for anyone who wants to: ⚡ Save money by using cheaper models for easy tasks. 🧠 Keep context relevant with AI-powered summarization. ⏱️ Respond faster thanks to optimized chat memory storage. 💬 Deliver better answers directly inside Telegram. ✨ Key Benefits 💸 Cost Optimization: Automatically routes simple requests to Gemini Flash Lite and reserves Gemini Pro only for complex reasoning. 🧠 Smarter Context: Summarization ensures only the most relevant chat history is used. ⏱️ Faster Workflows: Storing user + agent messages in a single row reduces DB queries by half and saves ~0.3s per response. 🎤 Voice Message Support: Convert Telegram voice notes to text and reply intelligently. 🛡️ Error-Proof Formatting: Safe MarkdownV2 ensures Telegram-ready answers. 💼 Use Case This template is for anyone who needs an AI chatbot on Telegram that balances cost, performance, and intelligence. Customer support teams can reduce expenses by using lightweight models for FAQs. Freelancers and consultants can offer faster AI-powered chats without losing context. Power users can handle voice + text seamlessly while keeping conversations memory-aware. Whether you’re scaling a business or just want a smarter assistant, this workflow adapts to your needs and budget. 💬 Example Interactions Quick Q&A** → Routed to Gemini Flash Lite for fast, low-cost answers. Complex problem-solving** → Sent to Gemini Pro for in-depth reasoning. Voice messages** → Automatically transcribed, summarized, and answered. Long conversations** → Context is summarized, ensuring precise and efficient replies. 🔑 Required Credentials Telegram Bot API** (Bot Token) PostgreSQL** (Database connection) Google Gemini API** (Flash Lite, Flash, Pro) ⚙️ Setup Instructions 🗄️ Create the PostgreSQL table (chat_memory) from the Gray section SQL. 🔌 Configure the Telegram Trigger with your bot token. 🤖 Connect your Gemini API credentials. 🗂️ Set up PostgreSQL nodes with your DB details. ▶️ Activate the workflow and start chatting with your AI-powered Telegram bot. 🏷 Tags telegram ai-assistant chatbot postgresql summarization memory gemini dynamic-routing workflow-optimization cost-saving voice-to-text 🙏 Acknowledgement A special thank you to Davide for the inspiration behind this template. His work on the AI Orchestrator that dynamically selects models based on input type served as a foundational guide for this architecture. 💡 Need Assistance? Want to customize this workflow for your business or project? Let’s connect: 📧 Email: [email protected] 🔗 LinkedIn: John Alejandro Silva Rodríguez

Google Gemini Chat Model and Telegram integration

How to connect Google Gemini Chat Model and Telegram

Step 1: Create a new workflow and add the first step

Step 2: Add and configure Google Gemini Chat Model and Telegram nodes

Step 3: Connect Google Gemini Chat Model and Telegram

Step 4: Customize and extend your Google Gemini Chat Model and Telegram integration

Step 5: Test and activate your Google Gemini Chat Model and Telegram workflow

✨🤖Automate Multi-Platform Social Media Content Creation with AI

Popular Google Gemini Chat Model and Telegram workflows

Nutrition Tracker & Meal Logger with Telegram, Gemini AI and Google Sheets

Free AI Image Generator - n8n Automation Workflow with Gemini/ChatGPT

Create an AI content agent with Telegram, Gemini, and Blotato (no-code)

🤖 AI content generation for Auto Service 🚘 Automate your social media📲!

✨🤖Automate Multi-Platform Social Media Content Creation with AI

OpenClaw Clone 🦞: Expandable Personal Telegram AI Agent Template

Process Multiple Media Files in Telegram with Gemini AI & PostgreSQL Database

Extract Text from Images with Telegram Bot & OCR Tesseractjs

🤖💬 Conversational AI Chatbot with Google Gemini for Text & Image | Telegram

Text-to-Image Generation with Google Gemini & Enhanced Prompts via Telegram Bot

Document Q&A Chatbot with Gemini AI and Supabase Vector Search for Telegram

🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant

Design UI projects 🎨🖼️ with Google Stitch via Telegram using MCP and Gemini AI

Post AI news to Telegram with Google Gemini and human approval

University FAQ & Calendar Assistant with Telegram, MongoDB and Gemini AI

AI Sales Agent with Telegram Approvals & Google Sheets Sync

Automated Viral Content Engine for LinkedIn & X with AI Generation & Publishing

Create YouTube Shorts Scripts from Video Links with Gemini AI and Telegram

Personal Knowledgebase AI Agent

Create daily historical AI videos with Gemini, fal.ai, Telegram and YouTube

Generate visual resumes from Telegram using Google Gemini and BrowserAct

Automated Product Review Monitoring with Sentiment Analysis via Decodo, Gemini & Telegram

AI Candidate Screening Pipeline: LinkedIn to Telegram with Gemini & Apify

Automated Reservation System with Telegram, Google Gemini AI, and Google Sheets

Personal Google Calendar & Reminder Bot on Telegram using Gemini & Whisper

Multilingual Voice & Text Telegram Bot with ElevenLabs TTS and LangChain Agents

Automated Property & Restaurant Bookings with AI Voice Calls via Telegram

Generate audio documentaries from web articles with ElevenLabs and BrowserAct

Telegram Trading Bot Assistant | LLM Powered Trading Bot For Crypto/Forex

Conversational Razorpay Analytics with Google Gemini & Telegram Bot

Automate Rental Agreements with BoldSign, Google Sheets & Gemini AI

Automated SEO Watchlist: Continuous Audits with Decodo, Gemini & Google Sheets

Generate & Publish AI Faceless Videos to YouTube Shorts using Sora 2

Stock Market Analysis & Prediction with GPT, Claude & Gemini via Telegram

Generate AI-Curated Reddit Digests for Telegram, Discord & Slack with Gemini

Automated Customer Feedback Triage with Gemini, Jotform, Google Sheets & Gmail Replies

AI-Powered Dental Appointment System with Telegram, Google Calendar and Sheets

Proxmox AI Agent with n8n and Generative AI Integration

Search flights with Gemini via Telegram and send SerpAPI price alerts

Automated Financial Tracker: Telegram Invoices to Notion with Gemini AI Reports

End of Turn Detection for smoother AI agent chats with Telegram and Gemini

Publish LinkedIn & X Posts with Telegram Bot, Gemini AI & Vector Memory

Build a Multi-functional Telegram Bot with Gemini, RAG PDF Search & Google Suite

Handle e-commerce support on Telegram with Gemini and Google Sheets

Analyze brand competitors using Decodo, Gemini, Telegram and Google Sheets

Analyze food ingredients from Telegram photos using Gemini and Airtable

Create AI Nature Videos with Sora 2 (Kie AI), Gemini, and Send to Telegram

Real-time Sales Quote Creation in Odoo via Telegram with Google Gemini AI

AI-Powered NDA Review & Instant Alert System - Jotform, Gemini, Telegram

Cheaper, Faster, Accurate Answers with Memory Summarization & Dynamic Routing!

Build your own Google Gemini Chat Model and Telegram integration

Telegram supported actions

Google Gemini Chat Model and Telegram integration details

Google Gemini Chat Model and Telegram integration tutorials

How to create an AI bot in Telegram

How to build a multilingual Telegram bot with low code

Create a toxic language detector for Telegram in 4 steps

6 e-commerce workflows to power up your Shopify store

How to automate your reading habit just in time for World Poetry Day

Using automation to boost productivity in the workplace

FAQs

Can Google Gemini Chat Model connect with Telegram?

Can I use Google Gemini Chat Model’s API with n8n?

Can I use Telegram’s API with n8n?

Is n8n secure for integrating Google Gemini Chat Model and Telegram?

How to get started with Google Gemini Chat Model and Telegram integration in n8n.io?

Need help setting up your Google Gemini Chat Model and Telegram integration?

Telegram Node Error connect ETIMEDOUT

Over 3000 companies switch to n8n every single week

Why use n8n to integrate Google Gemini Chat Model with Telegram

Build complex workflows, really fast