Developer Automation Agents

🤖🥗 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

This n8n template automates crypto market analysis by combining multi-timeframe candlestick data with real-time news sentiment to generate actionable AI-backed Buy / Sell / Hold signals for any cryptocurrency. Built around the Kaizen principle of continuous improvement, it delivers sharper, more reliable insights with every run. Use cases Automatically analyze crypto market trends using 15m, 1h, and 1d candlestick data. Aggregate global crypto news sentiment to reinforce price-action confidence. Generate AI-powered Buy / Sell / Hold recommendations for traders. Build your own Telegram-based crypto trading assistant or analytics bot. Create backends for crypto dashboards, portfolio advisors, or auto-alert systems. Expand trading strategies using AI reasoning instead of manual analysis. Good to know This workflow merges both technical analysis (candlesticks) and fundamental sentiment (news), then passes them through an AI model (Gemini) to produce clean, easy-to-understand trading signals. It works seamlessly on n8n Cloud and self-hosted setups, with configuration taking about 5 minutes. Requirements n8n Cloud or self-hosted instance Crypto price data API key Crypto news API key AI model API key (Google Gemini) Telegram Bot Token (via @BotFather) Customising this workflow Replace Telegram with Slack, Discord, WhatsApp Cloud API, or Notion for alerts. Switch AI models (Gemini, OpenAI, Claude) to change tone or reasoning style. Modify candlestick intervals (15m, 1h, 1d) or add more timeframes. Attach TradingView webhooks for live alerts or automated triggers. Add portfolio tracking, price-level alerts, or risk scoring for advanced users. Expand the template to support forex, stocks, indices, or commodities with minimal edits.

This n8n template automates intraday trading insights by combining candlestick pattern analysis and news sentiment aggregation to suggest actionable Buy / Sell / Hold decisions across international stock markets. Use cases Automatically analyze stock trends using live candlestick data. Aggregate real-time news sentiment to strengthen trading confidence. Generate AI-backed Buy / Sell / Hold recommendations for traders. Build an automated Telegram trading assistant or analytics bot. Create a backend for AI-powered portfolio advisors or trading dashboards. Good to know This workflow integrates both market and news APIs, processes data intelligently, and leverages an Gemini AI for trading recommendations. It runs smoothly on both n8n Cloud and self-hosted instances, and setup typically takes 10–15 minutes. Requirements n8n Cloud or self-hosted instance TwelveData API key (for fetching OHLC & candlestick data) → twelvedata.com NewsAPI.org key (for aggregating relevant stock news) → newsapi.org AI model API key (Google Gemini or OpenAI) for sentiment reasoning Telegram Bot Token (via @BotFather) for command input & output Customising this workflow Replace Telegram with Slack, Discord, or Notion for alternate alerts. Integrate TradingView or Alpaca API for executing mock trades. Modify the candlestick intervals (1m, 15m, 1h) or patterns as per strategy. Add portfolio tracking or alert thresholds for advanced users. Expand to cover crypto, forex, or commodities with minimal edits.

This n8n template automates the collection, storage, and summarization of technology news and discussions from the n8n Community and Reddit (r/n8n). If you like staying informed but want to reduce daily manual browsing distractions, this workflow is perfect for you. How it works User Intent Detection:* The workflow receives your Telegram message and uses an *AI Agent** (powered by Gemini/Groq) to intelligently classify your intent (Search, Deep-dive, or Casual Chat). Multi-Platform Scraping:* Automatically fetches the latest discussions, topics, and comments from the official *n8n Community* and *Reddit** via HTTP Requests. Smart Summarization:** Extracts complex HTML content and uses the AI to provide concise overviews, or deep-dives into specific forum threads with full contextual history. Seamless Delivery:** Formats the AI's response into clean, chunked Telegram messages (handling limits smoothly) and delivers it straight to your chat. Daily Pulse:** A scheduled trigger automatically aggregates the hottest topics every morning to keep you updated. How to use Connect your Telegram Bot account to n8n. Connect your Google Gemini and Groq API credentials. (Optional) Connect your MongoDB instance if you want to enable long-term persistent chat memory. Update the Chat ID in the Telegram nodes to route the scheduled Daily Pulse directly to your personal account or group. Activate the workflow and start messaging your new AI assistant. Requirements n8n Version:* Built and tested on *n8n 2.9.4+*. *(Note: You may encounter errors on older versions. It is highly recommended to update to the latest n8n version to use this workflow effectively). Telegram** Bot token. Google Gemini* & *Groq** API keys. (Optional) MongoDB connection string. Customizing this workflow Change the AI Model:** Swap the Gemini or Groq nodes for OpenAI, Claude, or any other supported LLM. Expand the Sources:** Duplicate the HTTP Request nodes and adjust the HTML extractors to monitor other platforms like Discord or StackOverflow. Adjust the Schedule:** Prefer chat over daily emails? Change the Cron expression to receive weekly summaries or disable it entirely to rely purely on on-demand Telegram queries. About the Author Created by: Nguyen Thieu Toan (Jay Nguyen) Email: [email protected] Website: nguyenthieutoan.com Company: CEO/Founder of GenStaff (genstaff.net) - AI Staffing Solutions Socials (Facebook / X / LinkedIn): @nguyenthieutoan More templates: n8n.io/creators/nguyenthieutoan

💥 Viral TikTok Video Machine: Auto-Create Videos with Your AI Avatar 🎯 Who is this for? This workflow is for content creators, marketers, and agencies who want to use Veed.io’s AI avatar technology to produce short, engaging TikTok videos automatically. It’s ideal for creators who want to appear on camera without recording themselves, and for teams managing multiple brands who need to generate videos at scale. ⚙️ What problem this workflow solves Manually creating videos for TikTok can take hours — finding trends, writing scripts, recording, and editing. By combining Veed.io, ElevenLabs, and GPT-4, this workflow transforms a simple Telegram input into a ready-to-post TikTok video featuring your AI avatar powered by Veed.io — speaking naturally with your cloned voice. 🚀 What this workflow does This automation links Veed.io’s video-generation API with multiple AI tools: Analyzes TikTok trends via Perplexity AI Writes a 10-second viral script using GPT-4 Generates your voiceover via ElevenLabs Uses Veed.io (Fabric 1.0 via FAL.ai) to animate your avatar and sync the lips to the voice Creates an engaging caption + hashtags for TikTok virality Publishes the video automatically via Blotato TikTok API Logs all results to Google Sheets for tracking 🧩 Setup Telegram Bot Create your bot via @BotFather Configure it as the trigger for sending your photo and theme Connect Veed.io Create an account on Veed.io Get your FAL.ai API key (Veed Fabric 1.0 model) Use HTTPS image/audio URLs compatible with Veed Fabric Other APIs Add Perplexity, ElevenLabs, and Blotato TikTok keys Connect your Google Sheet for logging results 🛠️ How to customize this workflow Change your Avatar:* Upload a new image through Telegram, and *Veed.io** will generate a new talking version automatically. Modify the Script Style:** Adjust the GPT prompt for tone (educational, funny, storytelling). Adjust Voice Tone:* Tweak *ElevenLabs** stability and similarity settings. Expand Platforms:** Add Instagram, YouTube Shorts, or X (Twitter) posting nodes. Track Performance:** Customize your Google Sheet to measure your most successful Veed.io-based videos. 🧠 Expected Outcome In just a few seconds after sending your photo and theme, this workflow — powered by Veed.io — creates a fully automated TikTok video featuring your AI avatar with natural lip-sync and voice. The result is a continuous stream of viral short videos, made without cameras, editing, or effort. ✅ Import the JSON file in n8n, add your API keys (including Veed.io via FAL.ai), and start generating viral TikTok videos starring your AI avatar today! 🎥 Watch This Tutorial 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

Automate video creation with Veo3 and auto-post to Instagram, TikTok via Blotato Who is this for? This template is ideal for content creators, social media managers, YouTubers, and digital marketers who want to generate high-quality videos daily using AI and distribute them effortlessly across multiple platforms. It’s perfect for anyone who wants to scale short-form content creation without video editing tools. What problem is this workflow solving? Creating and distributing consistent video content requires: Generating ideas Writing scripts and prompts Rendering videos Manually posting to platforms This workflow automates all of that. It transforms one prompt into a professional AI-generated video and publishes it automatically — saving time and increasing reach. What this workflow does Triggers daily to generate a new idea with OpenAI (or your custom prompt). Creates a video prompt formatted specifically for Google Veo3. Generates a cinematic video using the Veo3 API. Logs the video data into a Google Sheet. Retrieves the final video URL once Veo3 finishes rendering. Uploads the video to Blotato for publishing. Auto-posts the video to Instagram, TikTok, YouTube, Facebook, LinkedIn, Threads, Twitter (X), Pinterest, and Bluesky. Setup Add your OpenAI API key to the GPT-4.1 nodes. Connect your Veo3 API credentials in the video generation node. Link your Google Sheets account and use a sheet with columns: Prompt, Video URL, Status. Connect your Blotato API key and set your platform IDs in the Assign Social Media IDs node. Adjust the Schedule Trigger to your desired posting frequency. How to customize this workflow to your needs Edit the AI prompt** to align with your niche (fitness, finance, education, etc.). Add your own branding overlays** using JSON2Video or similar tools. Change platform selection** by enabling/disabling specific HTTP Request nodes. Add a Telegram step** to preview the video before auto-posting. Track performance** by adding metrics columns in Google Sheets. 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

//ASMR AI Workflow Who is this for? Content Creators, YouTube Automation Enthusiasts, and AI Hobbyists looking to autonomously generate and publish unique, satisfying ASMR-style YouTube Shorts without manual effort. What problem does this solve? This workflow solves the creative bottleneck and time-consuming nature of daily content creation. It fully automates the entire production pipeline, from brainstorming trendy ideas to publishing a finished video, turning your n8n instance into a 24/7 content factory. What this workflow does 1. Two-Stage AI Ideation & Planning: Uses an initial AI agent to brainstorm a short, viral ASMR concept based on current trends. A second "Planning" AI agent then takes this concept and expands it into a detailed, structured production plan, complete with a viral-optimized caption, hashtags, and descriptions for the environment and sound. 2. Multi-Modal Asset Generation: Video:* Feeds detailed scene prompts to the *ByteDance Seedance** text-to-video model (via Wavespeed AI) to generate high-quality video clips. Audio:* Simultaneously calls the *Fal AI** text-to-audio model to create custom, soothing ASMR sound effects that match the video's theme. Assembly:** Automatically sequences the video clips and sound into a single, cohesive final video file using an FFMPEG API call. 3. Closed-Loop Publishing & Logging: Logging:** Initially logs the new idea to a Google Sheet with a status of "In Progress". Publishing:** Automatically uploads the final, assembled video directly to your YouTube channel, setting the title and description from the AI's plan. Updating:** Finds the original row in the Google Sheet and updates its status to "Done", adding a direct link to the newly published YouTube video. Notifications:** Sends real-time alerts to Telegram and/or Gmail with the video title and link, confirming the successful publication. Setup Credentials: You will need to create credentials in your n8n instance for the following services: OpenAI API Wavespeed AI API (for Seedance) Fal AI API Google OAuth Credential (enable YouTube Data API v3 and Google Sheets API in your Google Cloud Project) Telegram Bot Credential (Optional) Gmail OAuth Credential Configuration: This is an advanced workflow. The initial setup should take approximately 15-20 minutes. Google Sheet:* Create a Google Sheet with these columns: idea, caption, production_status, youtube_url. Add the *Sheet ID** to the Google Sheets nodes in the workflow. Node Configuration:** In the Telegram Notification node, enter your own Chat ID. In the Gmail Notification node, update the recipient email address. Activate:** Once configured, save and set the workflow to "Active" to let it run on its schedule. How to customize Creative Direction:* To change the style or theme of the videos (e.g., from kinetic sand to soap cutting), simply edit the systemMessage in the *"2. Enrich Idea into Plan"* and *"Prompts AI Agent"** nodes. Initial Ideas:* To influence the AI's starting concepts, modify the prompt in the *"1. Generate Trendy Idea"** node. Video & Sound:* To change the video duration or sound style, adjust the parameters in the *"Create Clips"* and *"Create Sounds"** nodes. Notifications:* Add or remove notification channels (like Slack or Discord) after the *"Upload to YouTube"** node.

How it works This template is a complete, hands-on tutorial that lets you build and interact with your very first AI Agent. Think of an AI Agent as a standard AI chatbot with superpowers. The agent doesn't just talk; it can use tools to perform actions and find information in real-time. This workflow is designed to show you exactly how that works. The Chat Interface (Chat Trigger): This is your window to the agent. It's a fully styled, public-facing chat window where you can have a conversation. The Brain (AI Agent Node): This is the core of the operation. It takes your message, understands your intent, and intelligently decides which "superpower" (or tool) it needs to use to answer your request. The agent's personality and instructions are defined in its extensive system prompt. The Tools (Tool Nodes): These are the agent's superpowers. We've included a variety of useful and fun tools to showcase its capabilities: Get a random joke. Search Wikipedia for a summary of any topic. Calculate a future date. Generate a secure password. Calculate a monthly loan payment. Fetch the latest articles from the n8n blog. The Memory (Memory Node): This gives the agent a short-term memory, allowing it to remember the last few messages in your conversation for better context. When you send a message, the agent's brain analyzes it, picks the right tool for the job, executes it, and then formulates a helpful response based on the tool's output. Set up steps Setup time: ~3 minutes This template is nearly ready to go out of the box. You just need to provide the AI's "brain." Configure Credentials: This workflow requires an API key for an AI model. Make sure you have credentials set up in your n8n instance for either Google AI (Gemini) or OpenAI. Choose Your AI Brain (LLM): By default, the workflow uses the Google Gemini node. If you have Google AI credentials, you're all set! If you prefer to use OpenAI, simply disable the Gemini node and enable the OpenAI node. You only need one active LLM node. Make sure it is connected to the Agent parent node. Explore the Tools: Take a moment to look at the different tool nodes connected to the Your First AI Agent node. This is where the agent gets its abilities! You can add, remove, or modify these to create your own custom agent. Activate and Test! Activate the workflow. Open the public URL for the Example Chat Window node (you can copy it from the node's panel). Start chatting! Try asking it things like: "Tell me a joke." "What is n8n?" "Generate a 16-character password for me." "What are the latest posts on the n8n blog?" "What is the monthly payment for a $300,000 loan at 5% interest over 30 years?"

Setup & Instructions — fluidX: Create Session, Analyze & Notify Goal: This workflow demonstrates the full fluidX THE EYE integration — starting a live session, inviting both the customer (via SMS) and the service agent (via email), and then accessing the media (photos and videos) created during the session. Captured images are automatically analyzed with AI, uploaded to an external storage (such as Google Drive), and a media summary for the session is generated at the end. The agent receives an email with a link to join the live session. The customer receives an SMS with a link to start sharing their camera. Once both are connected, the agent can view the live feed, and the system automatically stores uploaded images and videos in Google Drive. When the session ends, the workflow collects all media and creates a complete AI-powered session summary (stored and updated in Google Drive). Below is an example screenshot from the customer’s phone: Prerequisites Developer account:* https://live.fluidx.digital (activate the *TEST plan**, €0) API docs (Swagger):** fluidX.digital API 🔐 Required Credentials 1️⃣ fluidX API key (HTTP Header Auth) • Credential name in n8n: fluidx API key • Header name: x-api-key • Header value: YOUR_API_KEY 2️⃣ SMTP account (for outbound email) • Credential name in n8n: SMTP account • Configure host, port, username, and password according to your provider • Enable TLS/SSL as required 3️⃣ Google Drive account • Used to store photos, videos, and automatically update the session summary files. 4️⃣ OpenAI API (for AI analysis & summary) •Used in the Analyze Images (AI) and Generate Summary parts of the workflow. • Credential type: OpenAI • Credential name (suggested): OpenAI account • API Key: your OpenAI API key • Model: e.g. gpt-4.1, gpt-4o, or similar (choose in the OpenAI node settings) ⚙️ Configuration (in the “Set Config” node) BASE_URL: https://live.fluidx.digital company / project / billingcode / sku: adjust as needed emailAgent: set before running (empty in template) phoneNumberUser: set before running (empty in template) Flow Overview Form Trigger → Create Session → Set Session Vars → Send SMS (User) → Send Email (Agent) → Monitor Media → Analyze Images (AI) → Upload Files to Google Drive → Generate Summary → Update Summary File The workflow starts automatically when a Form submission is received. Users enter the customer’s phone number and agent’s email, and the system creates a new fluidX THE EYE session. As media is uploaded during the session, the workflow automatically retrieves, stores, analyzes, and summarizes it — providing a complete end-to-end automation example for remote inspection, support, or field-service use cases. Notes Do not store real personal data inside the template. Manage API keys and secrets via n8n Credentials or environment variables. Log out of https://live.fluidx.digital in the agent’s browser before testing, to ensure a clean invite flow and session creation.

How It Works This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, the official n8n documentation—and then build a chatbot to ask it questions. Think of it like this: instead of a general-knowledge AI, you're building an expert librarian. 🔧 Workflow Overview The workflow is split into two main parts: Part 1: Indexing the Knowledge (📚 Building the Library) This is a one-time process you run manually. The workflow will: Automatically scrape all pages of the n8n documentation. Break them down into small, digestible chunks. Use an AI model to create a numerical representation (an embedding) for each chunk. Store these embeddings in n8n's built-in Simple Vector Store. > This is like a librarian reading every book and creating a hyper-detailed index card for every paragraph. > ⚠️ Important: This in-memory knowledge base is temporary. It will be erased if you restart your n8n instance. You'll need to run the indexing process again in that case. Part 2: The AI Agent (🧠 The Expert Librarian) This is the chat interface. When you ask a question: The AI agent doesn't guess the answer. It searches the knowledge base to find the most relevant “index cards” (chunks). It feeds those chunks to a language model (Gemini) with strict instructions: > “Answer the user's question using ONLY this information.” This ensures answers are accurate, factual, and grounded in your documents. 🚀 Setup Steps > Total setup time: ~2 minutes > Indexing time: ~15–20 minutes This template uses n8n’s built-in tools, so no external database is needed. 1. Configure OpenAI Credentials You’ll need an OpenAI API key (for GPT models). In your n8n workflow: Go to any of the three OpenAI nodes (e.g., OpenAI Chat Model). Click the Credential dropdown → + Create New Credential. Enter your OpenAI API key and save. 2. Apply Credentials to All Nodes Your new credential is now saved. Go to the other two OpenAI nodes (e.g., OpenAI Embeddings) and select the newly created credential from the dropdown. 3. Build the Knowledge Base Find the Start Indexing manual trigger node (top-left of the workflow). Click the Execute Workflow button to start indexing. > ⚠️ Be patient: This takes 15–20 minutes to scrape and process the full documentation. > You only need to do this once per n8n session. 4. Chat With Your Expert Agent After indexing completes, activate the entire workflow (toggle at the top). Open the RAG Chatbot chat trigger node (bottom-left). Copy its Public URL. Open it in a new tab and ask questions about n8n! Example questions: "How does the IF node work?" "What is a sub-workflow?" 👤 Credits All credits go to Lucas Peyrin 🔗 lucaspeyrin on n8n.io

Production-ready enterprise architectures, multi-agent orchestrations, and memory fabrics built with LangGraph and CrewAI. Developed as part of the advanced GenAI & Agentic AI Course in Electronic City at eMexo Technologies to master autonomous automation.

Description / Intro This is a lightweight executor workflow designed to be used together with the main “Daily Github Action Executor Agent” template. It does not perform scheduling or decision logic on its own. Instead, it serves as an execution layer that receives structured inputs from the main workflow and triggers a GitHub Actions workflow via the GitHub API (workflow_dispatch). This template is intended to be published as a workflow tool and called by an Agent in another workflow.

How it works This template launches your very first AI Agent —an AI-powered chatbot that can do more than just talk— it can take action using tools. Think of an AI Agent as a smart assistant, and the tools are the apps on its phone. By connecting it to other nodes, you give your agent the ability to interact with real-world data and services, like checking the weather, fetching news, or even sending emails on your behalf. This workflow is designed to be the perfect starting point: The Chat Interface:** A Chat Trigger node provides a simple, clean interface for you to talk to your agent. The Brains:** The AI Agent node receives your messages, intelligently decides which tool to use (if any), and formulates a helpful response. Its personality and instructions are fully customizable in the "System Message". The Language Model:* It uses *Google Gemini** to power its reasoning and conversation skills. The Tools:** It comes pre-equipped with two tools to demonstrate its capabilities: Get Weather: Fetches real-time weather forecasts. Get News: Reads any RSS feed to get the latest headlines. The Memory:** A Conversation Memory node allows the agent to remember the last few messages, enabling natural, follow-up conversations. Set up steps Setup time: ~2 minutes You only need one thing to get started: a free Google AI API key. Get Your Google AI API Key: Visit Google AI Studio at aistudio.google.com/app/apikey. Click "Create API key in new project" and copy the key that appears. Add Your Credential in n8n: On the workflow canvas, go to the Connect your model (Google Gemini) node. Click the Credential dropdown and select + Create New Credential. Paste your API key into the API Key field and click Save. Start Chatting! Go to the Example Chat node. Click the "Open Chat" button in its parameter panel. Try asking it one of the example questions, like: "What's the weather in Paris?" or "Get me the latest tech news." That's it! You now have a fully functional AI Agent. Try adding more tools (like Gmail or Google Calendar) to make it even more powerful.

This workflow extracts and analyzes the balance sheet, income statement, and cash flow statement from PDF financial reports. It uses TextIn document parsing to structure the document, sends only table previews to an LLM for table ID selection, then extracts the selected tables and generates a financial analysis report.

This workflow generates an automated information digest. A scheduled trigger runs at a predefined time and uses Google Search to retrieve relevant content from the web. The retrieved results are analyzed and summarized by a language model, which extracts key insights and formats them into a concise report. The final digest is then delivered via email. This workflow is suitable for monitoring industry trends, tracking specific topics, or creating automated daily briefings without manual searching.

This workflow acts as an automated cybersecurity analyst. It triggers upon receiving an incident report via webhook, classifies the type of threat, performs a real-time web search for the latest intelligence on the identified malware or vulnerability, and uses an LLM to generate a comprehensive technical report with mitigation recommendations. This tool is ideal for SOC teams needing to rapidly analyze incoming security alerts without manual research.

Who’s it for This template is designed for anyone who wants to use Telegram as a personal AI assistant hub. If you often juggle tasks, emails, calendars, and expenses across multiple tools, this workflow consolidates everything into one seamless AI-powered agent. What it does Jarvis listens to your Telegram messages (text or audio) and processes them with OpenAI. Based on your request, it can: ✅ Manage tasks (create, complete, or delete) 📅 Handle calendar events (schedule, reschedule, or check availability) 📧 Send, draft, or fetch emails with Gmail 👥 Retrieve Google Contacts 💵 Log and track expenses All responses are returned directly to Telegram, giving you a unified command center. How to set up Clone this template into your n8n workspace. Connect your accounts (Telegram, Gmail, Google Calendar, Contacts, etc.). Add your OpenAI API key in the Credentials section. Test by sending a Telegram message like “Create a meeting tomorrow at 3pm” or “Add expense $50 for lunch.” or "Draft a reply with a project proposal to that email from Steve" Requirements n8n instance (cloud or self-hosted) Telegram Bot API credentials Gmail, Google Calendar, and Google Contacts credentials (optional, if using those features) OpenAI API key ElevenLabs API Key (optional, if you need audio note support) How to customize Swap Gmail with another email provider by replacing the Gmail MCP node. Add additional MCP integrations (e.g., Notion, Slack, CRM tools). Adjust memory length to control how much context Jarvis remembers. With this template, you can transform Telegram into your all-in-one AI assistant, simplifying workflows and saving hours every week.

SocialEcho API team account article report queries.

📇 ☁️ - lets your preferred AI agent create & run fully managed [Octomind](https://www.octomind.dev/) end-to-end tests from your codebase or other data sources like Jira, Slack or TestRail.

📇 🏠 🍎 🪟 🐧 - Agent Skill Ninja for MCP: Search, install, and manage AI agent skills (SKILL.md files) from GitHub repositories. Features workspace analysis for personalized recommendations and supports 140+ pre-indexed skills.

📇 🏠 🍎 🪟 🐧 - Multi-agent AI consultation framework for Claude Code. Three MCP servers wrapping CLI tools (Codex, Gemini, Qwen) for parallel code review and problem-solving with fallback chains and error detection. Includes ready-to-use Claude Code skill.

Design and implement automation workflows to save time and scale operations as a solopreneur. Use when identifying repetitive tasks to automate, building workflows across tools, setting up triggers and actions, or optimizing existing automations. Covers automation opportunity identification, workflow design, tool selection (Zapier, Make, n8n), testing, and maintenance. Trigger on "automate", "automation", "workflow automation", "save time", "reduce manual work", "automate my business", "no-code automation".

Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.

Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.

A study companion for the Cognitive Science & AI programme at Tilburg University. Built with React + Vite, deployed on Vercel. Courses covered: Cognitive Neuroscience, Autonomous Systems, Deep Learning, and more.

Built a multi-agent AI system where specialized agents run in parallel to analyze meeting transcripts — extracting summaries, action items, sentiment scores, follow-up emails, and calendar suggestions. Full-stack: React + FastAPI, deployed on Vercel + Render, using Groq's Llama 3.3 70B for inference.

InfraPilot is an autonomous AI deployment engineer that analyzes repositories, selects infrastructure, deploys applications, monitors logs, fixes deployment failures automatically, and self-heals production systems across platforms like Vercel, Railway, Render, and Supabase.

Inspect, manage, and roll back deployments across GitHub Actions, Vercel, Netlify, and Railway u2014 directly from your AI agent. One tool to know what shipped, when, and whether it's healthy.

Multi-agent research pipeline using CrewAI + Groq LLaMA 3.3 70B — autonomously breaks down complex topics and generates structured, cited research reports

This is an Instant preview Setup for multiple platform for AI Agent Generated Code like Vercel deployment preview

A private Next.js, Vercel hosted multi-agent system for turning rough product inputs into a complete implementation engine: research → specs → plan → code → verify → deploy (with a deterministic audit trail).

Production-ready multi-agent AI system for financial signal analysis. Demonstrates CrewAI orchestration, RAG with ChromaDB, MLOps pipeline, FastAPI, Docker, and Kubernetes deployment. Full-stack portfolio project showcasing real-world AI system architecture.

Multi-agent AI ecosystem for automated financial auditing and fraud detection using CrewAI. Features DuckDB-powered ETL pipelines and orchestrated LLM agents for risk-based reporting. Converts raw financial data into verified, human-level audit reports with compliance validation.

A full-stack AI agent clinic built with spec-driven development. Next.js 15, TypeScript, Prisma, PostgreSQL, Tailwind CSS. Deployed on Vercel.

Personal portfolio of Aditi Neema. Data and AI engineer in Seattle building scalable pipelines, AI agent systems, and tools that bridge engineering with childhood development and education policy. Built with React 19, Vite, Tailwind 4, Radix UI, and TypeScript. Continuously deployed to Vercel from main.

AI financial analyst using CrewAI agents to research stock tickers, combine market data with news sentiment, generate investment reports, and persist results with Azure Blob Storage and PostgreSQL. Built with Python, FastAPI, Streamlit, yfinance, Firecrawl, and Azure.