Claude just dropped a feature called Orchestrated Teams. Instead of chatting with one AI, you now spin up a full team of agents that talk to each other and build together. I tested it by having three agents (frontend dev, backend dev, QA engineer) build a habit tracker app from scratch. No hand-holding. They coordinated tasks, flagged issues between each other, and delivered a working app in about 10 minutes. Here's what stood out: • The team lead delegates tasks and tracks progress without writing any code itself • Agents actually communicate. If the frontend needs something from the backend, they work it out • You get a real-time status board showing what each agent is doing • Plan mode first, then execution. Way better results than just winging it • The QA agent catches bugs the other two miss Before this, you could run multiple agents in parallel, but they had no idea what the others were doing. Frontend would build something that didn't match the backend. Now they coordinate like an actual dev team. This isn't just for building apps either. Think market research, competitor analysis, content workflows. Anything where you need multiple perspectives working together on one problem. I walked through the full setup step by step in my latest video. Terminal install, permissions, plan mode, agent spawning, everything. Check it out here: https://youtu.be/j9j_LRepWUo?si=FcexK55tUAXbKKMk

Just dropped a new video showing how to build AI automations with Claude Code, and I think you'll be surprised how simple it is. 🎯 Here's the deal: I was skeptical about Claude Code at first (tried it months ago, wasn't impressed). But the latest version is actually incredible for building n8n workflows through natural language. No more clicking through dozens of nodes manually. In this tutorial, I walk you through: - Setting up Claude Code from scratch - Building a daily AI news digest automation - Getting clean HTML newsletters in your inbox every morning - Fixing common issues and optimizing the workflow The coolest part? The automation pulls from multiple RSS feeds, uses AI to summarize the most relevant news, and formats everything into a clean newsletter. I use this every day to stay on top of AI trends and content ideas. Perfect for you if: - You're new to n8n but want to build powerful workflows - You're tired of manual workflow building - You want a practical example of AI agents in action Pro tip: Using "plan mode" with Claude Code makes a huge difference in getting reliable results. I show you exactly how to use it. https://youtu.be/BvZ572XX_k4?si=QC8nEL7OE_Jmpe7V

Been playing with Clawdbot this week and wanted to share my hands-on experience with what works (and what doesn't) after running several real tests. Quick context: Clawdbot is that open-source "AI employee" everyone's been talking about lately. It can access your local files, calendar, and various apps through integrations. I've been testing it extensively to cut through the hype. Here's what I found actually works well: - Notion integration is solid (created and managed a Kanban board seamlessly) - Spotify control works surprisingly well (played specific songs on command) - Basic file operations and text generation are reliable - API integrations (when properly set up) generally work as advertised What's still rough: - Browser control is hit-or-miss - Voice cloning setup is more complex than advertised - Some integrations require significant troubleshooting - Response times can be slow I'm focusing more on learning Claude Code for now, but I'd love to hear from others who've tested Clawdbot. Have you found any particularly useful applications? Or is it still too early/rough for serious use? I'll keep testing and share more specific use cases soon. Drop your thoughts below if you've tried it! https://youtu.be/QoFg9HA6BsM?si=yeDqsoNNblytYhtW

I just dropped a new video breaking down the core nodes you need to understand if you want to build solid, scalable automations in n8n this year . This is based entirely on real experience — from simple CRM automations to complex AI-powered workflows with agents, tools, and sub-flows. In the video, I walk through: - The triggers you’ll use all the time (and why they’re more powerful than they look) - How to properly use Set / Edit Fields to clean and structure data - Why HTTP Request + Code unlock almost any integration - When to use IF vs Switch - The difference between AI Agents vs Message Model steps - Why Sub-workflows are a must once things start getting complex If you’ve ever built something that worked but felt overcomplicated — this video will help you rethink how you design automations. 👉 Watch the full breakdown here: https://youtu.be/LOTsPJplHnA?si=e8u7ka7w7w-vfKJt I’d also recommend revisiting one of your older workflows after watching and asking yourself:“How would I rebuild this today using these nodes?”

If you’ve been curious about AI sales agents but felt overwhelmed by tools, setup, or where to even start, this webinar is for you. In Dapta 101: From Zero to Agent, I’ll walk you through how to build your first AI sales agent from scratch. Live. No-code. Beginner-friendly. What we’ll cover: • How AI sales agents actually work • How to go from a blank canvas to a working agent • A live walkthrough you can follow step by step • How to use the agent in a real scenario By the end, you’ll have a clear mental model and a working foundation you can build on. Stick around until the end for a special opportunity to kickstart your agent journey. Date & Time: Thursday, January 15th, 4:00PM–5:00PM EST Register here: REGISTER