New video is up, and this one is the foundation. If you are starting out with Claude, this is the video for you. 19 minutes, and it covers the setup nobody really walks you through: models and thinking mode, memory, projects and knowledge base, skills, connectors and plugins. Here is why it matters. Everything we build from here sits on top of this. The next videos go into advanced workflows, real agents and automations running inside a business, and they all assume you already know how projects, skills and connectors work in Claude. The base is Claude. So do not skip this one, otherwise the advanced videos will feel like catching up. Get this right and the rest gets easy, fast. Chapters if you want to jump straight in: 00:00 Intro 01:17 Claude Models & Thinking Mode 03:22 Claude Memory & Importing Context 05:16 Projects & Knowledge Base 08:12 Claude Skills 13:45 Connectors & Workspace Apps 16:18 Plugins 17:25 Key Takeaways & Next Steps Watch it, then comment below with the one task you want automated first. I am picking the next builds from what you post here.

Been working with software systems for more than 10 years, mostly around backend, cloud, AI, automation, and product development. One thing I’ve learned, knowing a programming language alone usually isn’t enough. The harder part is understanding the actual business. How to automate work that’s still manual. Connect systems that don’t work well together. Build AI into real workflows. Keep the backend stable when usage grows. Deal with data scattered across different tools. These are the kinds of problems I’ve spent a lot of time working on here in Japan. But I’m curious about the US side. For people running companies in the US, what technical skills are becoming difficult to find? And what skills do you think companies will need more of over the next few years?

This community has been quiet for a long time. That's mine to own, not yours. I went heads-down building the thing I kept talking about instead of posting about it. It now runs my entire day. So here's the restart — and I want to be straight about what this is. This is not the full build. It's the map. Seven layers, the order they have to go in, and the mistake that kills each one. That's what this post gives you. The step-by-step is coming as videos. How to get the engine talking to the gateway. How to wire the lanes. How to write the rules file so you can actually trust it with your keys. I'm filming each piece as I go. This post is where you start. The videos are how you finish. What it actually is I run my whole day out of one chat app. No dashboard. No fifteen tabs. One chat, on a server I own, with two AI agents living inside it — one that works for my team, one that works only for me. Here's how it's put together, in build order. Seven layers. Most people start at layer five, get a clever demo, and abandon it inside a week. 1. A cheap always-on server Any VPS. That's genuinely it. This is the layer people skip — and it's why their assistant forgets everything and dies the moment the laptop closes. The whole point is that it's awake when you aren't. *The mistake: running it on your laptop "for now". It never graduates.* 2. An engine, and a gateway Two different things. Conflating them is the most common confusion I see. The engine is the model doing the work. Mine is Claude Code — it reads and writes real files and runs real commands instead of just talking about them. The gateway is what gives that engine a body: channels, scheduling, memory, permissions, more than one agent. Mine is OpenClaw. Open source, self-hosted. *The mistake: picking a tool that can only chat. If it can't write a file, it can never do your work — only describe it.* 3. One chat app, with lanes This is the layer that changes how it feels. Almost nobody does it. Telegram is the entire interface. But not one long conversation — a forum group with a topic per lane. Work. Money. Inbox. Content. Ideas. Personal.