Setup n8n in 5 min with https://hostinger.com/ncn8n + use code NETWORKCHUCK for a discount. In this video, I take n8n to the NEXT LEVEL by building an AI agent. Meet my new IT employee “Terry” who can monitor, troubleshoot, and even fix my homelab. From Docker containers to Plex, Proxmox, and UniFi, Terry learns how to keep everything running smoothly. This is not just automation; this is AI running my ENTIRE homelab. GUIDE / RESOURCES: 📃 Guide / Documentation: https://github.com/theNetworkChuck/n8n-terry-guide 📺 Part 1 (Baby Terry – first n8n video): https://youtu.be/ONgECvZNI3o?si=xCwIMQLjIjug-hNP TIMESTAMPS: 0:00 - Intro: Meet Terminator Terry (The AI IT Employee) 0:58 - Employee Onboarding: Teaching Terry the Basics 2:22 - Setting Up n8n in the Cloud (Hostinger Setup) 2:58 - Connecting Terry to Your Homelab with Twingate 3:15 - Building Terry's First Workflow in n8n 4:01 - Creating a Test Website (Docker Container Setup) 5:00 - Terry's First Tool: HTTP Request (Website Monitoring) 6:11 - Teaching Terry to Monitor Like a Human 7:43 - Terry's Second Tool: SSH Access (Docker Commands) 10:00 - Converting SSH to a Workflow Tool 11:06 - Terry Learns to Troubleshoot (Docker PS & Inspect) 13:05 - Giving Terry More Freedom (Dynamic Commands) 14:16 - Making Terry Autonomous (Schedule Trigger Setup) 17:54 - Telegram Notifications: Terry Reports Back 19:24 - Structured Output: Teaching Terry Clean Data 22:33 - Smart Filtering: Only Alert on Problems 23:09 - Level 2 Engineer: Teaching Terry to Fix Things 24:49 - The Port Conflict Challenge (Terry's First Real Test) 26:42 - Upgrading Terry's Brain (GPT-4 vs Mini) 28:18 - Human-in-the-Loop: Taking Back Control 30:27 - Setting Up Approval Workflows 32:02 - Terry Asks Permission Before System Changes 35:06 - Testing the Complete Workflow (Monitor → Troubleshoot → Approve → Fix) 37:02 - Connecting Terry to Your Real Homelab 37:40 - Unifi Network Control (API Integration) 38:55 - Proxmox Integration (CLI & API Access) 🔥🔥Join the NetworkChuck Academy!: https://ntck.co/NCAcademy **Sponsored by Hostinger SUPPORT NETWORKCHUCK --------------------------------------------------- ➡️NetworkChuck membership: https://ntck.co/Premium ☕☕ COFFEE and MERCH: https://ntck.co/coffee Check out my new channel: https://ntck.co/ncclips 🆘🆘NEED HELP?? Join the Discord Server: https://discord.gg/networkchuck STUDY WITH ME on Twitch: https://bit.ly/nc_twitch READY TO LEARN?? --------------------------------------------------- -Learn Python: https://bit.ly/3rzZjzz -Get your CCNA: https://bit.ly/nc-ccna FOLLOW ME EVERYWHERE --------------------------------------------------- Instagram: https://www.instagram.com/networkchuck/ Twitter: https://twitter.com/networkchuck Facebook: https://www.facebook.com/NetworkChuck/ Join the Discord server: http://bit.ly/nc-discord AFFILIATES & REFERRALS --------------------------------------------------- (GEAR I USE...STUFF I RECOMMEND) My network gear: https://geni.us/L6wyIUj Amazon Affiliate Store: https://www.amazon.com/shop/networkchuck Buy a Raspberry Pi: https://geni.us/aBeqAL Do you want to know how I draw on the screen?? Go to https://ntck.co/EpicPen and use code NetworkChuck to get 20% off!! fast and reliable unifi in the cloud: https://hostifi.com/?via=chuck how to use n8n to automate your homelab how to build an ai agent with n8n how to monitor docker containers with n8n how to automate proxmox with n8n how to set up plex monitoring in n8n how to use n8n with unifi how to make ai troubleshoot your server how to automate your home network with n8n how to connect telegram alerts to n8n how to build a self hosted ai helpdesk with n8n how to teach ai to monitor your website with n8n how to restart docker containers automatically with n8n how to use ssh in n8n workflows how to integrate api monitoring into n8n how to use n8n for server monitoring how to automate plex and unifi with n8n how to run ai workflows with n8n how to set up automated troubleshooting in n8n how to use n8n to fix server issues how to automate your homelab with ai #n8n #homelab #automation TAGS: n8n, home lab automation, AI agent, Terry the AI, Docker automation, Plex automation, Proxmox automation, UniFi API, IT automation, self-hosted AI, AI troubleshooting, network automation, Telegram alerts, DevOps tools, sysadmin tools, home lab project, monitor and fix servers, Docker containers, automation tutorial, NetworkChuck

I’ve been experimenting with a pattern for LLM usage recently that’s working out really well: asynchronous code research tasks. Pick a research question, spin up an asynchronous coding agent and …

Let's upgrade cheap off-the-shelf robotic mowers to modern, smart RTK GPS based lawn mowing robots! - ClemensElflein/OpenMower

Why automation lags even as models get better

🦊 Anti-detect browser

Transform your file management with intelligent, automated file renaming powered by AI.

Multiple parallel Claude-Code sessions power a self-improving AI factory where agents write, review, and refine code.

GitHub Next Project: Exploring LLM-powered automation in platform-based software collaboration

🎬 Ever wondered how AI could turn your life into a documentary? Watch as I create a seemingly professional documentary about myself in minutes using Gemma 3, Ollama, and ElevenLabs - no film crew needed! 🎯 In this video, you'll learn: • How to use Gemma 3's multimodal capabilities with multiple images • Building a simple CLI app with Deno/TypeScript for image processing • Working with n8n workflows for AI integration • Creating convincing AI-generated narratives with Ollama • Complete workflow from capture to final video production ⏱️ Timestamps: 00:00 - Start 00:28 - I'm in a Documentary 01:56 - Gemma3 02:13 - Whats new in Gemma3 with Ollama 02:26 - Tell a story with many images 03:54 - Creating the app with Windsurf 04:49 - It's not in x language 05:19 - Let's look at the code 08:32 - The backend in n8n 🛠️ Tools & Resources Mentioned: • Gemma 3 27b • Ollama (https://ollama.com) • ElevenLabs (https://try.elevenlabs.io/tvlst) • n8n • Deno/TypeScript Want to create your own AI-powered content? Drop a comment below with your ideas or questions! #AIContent #TechTutorial #AIDocumentary My Links 🔗 👉🏻 Subscribe (free): https://www.youtube.com/technovangelist 👉🏻 Join and Support: https://www.youtube.com/channel/UCHaF9kM2wn8C3CLRwLkC2GQ/join 👉🏻 Newsletter: https://technovangelist.substack.com/subscribe 👉🏻 Twitter: https://www.twitter.com/technovangelist 👉🏻 Discord: https://discord.gg/uS4gJMCRH2 👉🏻 Patreon: https://patreon.com/technovangelist 👉🏻 Instagram: https://www.instagram.com/technovangelist/ 👉🏻 Threads: https://www.threads.net/@technovangelist?xmt=AQGzoMzVWwEq8qrkEGV8xEpbZ1FIcTl8Dhx9VpF1bkSBQp4 👉🏻 LinkedIn: https://www.linkedin.com/in/technovangelist/ 👉🏻 All Source Code: https://github.com/technovangelist/videoprojects Want to sponsor this channel? Let me know what your plans are here: https://www.technovangelist.com/sponsor

The Playwright team at Microsoft have released an MCP ([Model Context Protocol](https://github.com/microsoft/playwright-mcp)) server wrapping Playwright, and it's pretty fascinating. They implemented it on top of the Chrome accessibility tree, so …

A detailed walkthrough of my current workflow for using LLms to build software, from brainstorming through planning and execution.

Last week I introduced you to Crawl4AI - an open source and LLM friendly web scraper that makes it super easy to crawl any website and format it for a RAG knowledgebase for your AI agent. I even created a full AI agent as a follow up video that leverages this knowledgebase I created with Crawl4AI. A TON of you asked me to do the same thing in n8n, so here it is! In this video I show you exactly how to deploy Crawl4AI super easily with Docker and leverage it within your n8n workflows to crawl website pages in seconds. We even build a simple AI agent that uses this knowledgebase to become an expert at the documentation for Pydantic AI - my favorite AI Agent framework right now! There are a lot of ways to crawl websites, but many of them are expensive, slow, and/or difficult to work with. Crawl4AI on the other hand is easy to use, fast, and completely free since it is open source. The only thing you have to pay for is the machine in the cloud to run your crawler, and that’s only if you aren’t just running it on your computer! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Check out TEN Agent now (completely open source!) and see how easy it is to get started building voice AI agents for free: GitHub repo: https://github.com/TEN-framework/TEN-Agent Playground: https://agent.theten.ai/ If you aren't aware, voice agents are one of the biggest needs businesses have right now, so if you're a developer looking to make money with AI, tools like TEN Agent are definitely worth learning and using! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Here is the n8n workflow I covered in this video! It’s in a folder along with all the other Crawl4AI stuff I’ve done on my channel recently with Python. https://github.com/coleam00/ottomator-agents/blob/main/crawl4AI-agent/n8n-version/Crawl4AI_Agent.json Register now for the oTTomator AI Agent Hackathon with a $6,000 prize pool! https://studio.ottomator.ai/hackathon/register Try the Pydantic AI expert out now on the Live Agent Studio! https://studio.ottomator.ai Crawl4AI: https://github.com/unclecode/crawl4ai ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 00:00 - Intro to Crawl4AI + n8n 01:45 - Showing off the n8n Workflow 02:31 - What We're Crawling (and Ethics) 04:36 - How to Deploy Crawl4AI for n8n 07:57 - Deploying Crawl4AI with Docker 13:06 - TEN Agent 15:27 - Building Crawl4AI into n8n 29:15 - n8n + Crawl4AI RAG Demo 32:43 - Outro ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Join me as I push the limits of what is possible with AI. I'll be uploading videos at least two times a week - Sundays and Wednesdays at 7:00 PM CDT!

One of the biggest challenges we face with LLMs is their knowledge is too general and limited for anything new. That’s why RAG is such a huge topic when it comes to AI right now - it’s a method for providing an LLM with external knowledge you curate so it can become an expert at something it wasn’t before - a specific AI framework, your ecommerce store, you name it. The problem is, that “curate” step can be very difficult and slow. That is where Crawl4AI comes in! Crawl4AI is an open source web crawling framework specifically designed for scraping websites and formatting the output in the BEST possible way for an LLM to understand. The best part is it solves a LOT of problems we typically have with systems that crawl websites - usually they are slow, resource intensive, and complicated. But Crawl4AI is VERY fast, intuitive, easy to set up, and extremely memory efficient. In this video, I show you how to use Crawl4AI to super easily crawl websites for LLMs in just seconds, and at the end I even show you a RAG AI agent I’ve built to be a “Pydantic AI” framework expert using Crawl4AI to build the knowledgebase. And you could really take this and use it for any website you want. Next video I'll do a deep dive into this agent! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Register now for the oTTomator AI Agent Hackathon with a $6,000 prize pool! https://studio.ottomator.ai/hackathon/register All code for this Crawl4AI RAG Agent can be found here: https://github.com/coleam00/ottomator-agents/tree/main/crawl4AI-agent Crawl4AI GitHub: https://github.com/unclecode/crawl4ai ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 00:00 - The Beauty of Crawl4AI 02:16 - Why Crawl4AI? 05:25 - Basic Crawl4AI Example - Single Page Crawl 06:56 - Crawling Multiple Pages 08:58 - Ethics of Web Scraping 10:01 - Crawling Multiple Pages Continued 12:24 - FAST Parallel Page Crawling 15:19 - Crawl4AI RAG AI Agent 17:48 - Outro ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Join me as I push the limits of what is possible with AI. I'll be uploading videos at least two times a week - Sundays and Wednesdays at 7:00 PM CDT! Sundays and Wednesdays are for everything AI, focusing on providing insane and practical educational value. I will also post sometimes on Fridays at 7:00 PM CDT - specifically for platform showcases - sometimes sponsored, always creative in approach!

AI for your automation workflow

Flow makes writing quick and clear with seamless voice dictation. It is the fastest, smartest way to type with your voice.

Build Spirals with your voice, personality, and style to instantly start at 80% done on any repeat writing, thinking, or decision-making task.

AI Browser

Automate browser-based workflows with LLMs and Computer Vision - Skyvern-AI/skyvern

A school for camelids. Contribute to danielgross/LlamaAcademy development by creating an account on GitHub.

It’s the inaugural week of the second annual edition of Automation April, and to celebrate the occasion, I’ve been working on something special: today, I’m introducing S-GPT, an advanced conversational shortcut for ChatGPT that bridges OpenAI’s assistant to native system features of iOS, iPadOS, macOS, and watchOS. S-GPT (which stands for Shortcuts-GPT) is free to