Before paying for another prompting course, watch this. An engineer behind Claude Code breaks down how to use it more effectively in just 28 minutes: CLAUDE.md files, shortcuts, parallel sessions, and practical prompting techniques. These are the details that often get buried beneath big promises to “teach you AI.” Here, you can see how someone who knows the product from the inside organizes their workflow and pick up ideas for your own tasks. Free, all in one video. If you use Claude Code or plan to try it, save this 👇

Draw a mechanism on paper. Then watch it work before you’ve built a single part. This is what caught my attention about Claude. A trebuchet sketch becomes a 3D scene. The counterweight drops, the arm launches a ball, and wooden blocks scatter across the table. You can change the weight, adjust the throw, switch to slow motion, and watch from another angle. Claude writes the code behind that scene: the model, the movement, the controls, and the simplified physics. Your idea becomes something you can actually interact with. After seeing the demo, a separate test was run. Claude built a working scene with an automated tour and manual controls. The initial camera angle needed adjusting, but then the mechanism could be launched and its settings changed. That’s where it gets interesting for me. When a design only exists on paper, plenty of questions remain abstract. What happens if the counterweight gets heavier? Where does the ball land? How does the tower react to the impact? With Claude, you can start exploring those questions inside the scene. Simplified physics doesn’t prove the real construction will behave exactly the same way. But it gives you a faster way to explore the idea and figure out what needs testing next. The part that sticks with me: you haven’t built anything yet, but you’re already experimenting. Today, Claude brings a tabletop trebuchet to life. What idea would you want to test next?

Quote text, ready to paste: The mill works. That is no longer a picture. But look at who is holding it. A person spent an afternoon fighting water and gears. Opus wrote the mechanism. Together they built a wheel that actually turns. This is not an agent yet. This is a model helping you build a thing while you are still in the room. The next step is different. Not a prettier mill. A system that, after the tab is closed, checks whether the wheel is still turning, finds where the efficiency leaks, and tries the next version on its own. We can already build working things in an afternoon. The question is who stays to watch once the afternoon is over.

GROK 4.7 JUST TURNED A SINGLE PROMPT INTO A PLAYABLE OPEN WORLD. No game engine. No manually built map. No weeks of coding. One prompt in Grok Build created a GTA-style city where you can walk through the streets, enter vehicles, drive around, and explore the map. Of course, this is not the next GTA. The world is still rough, the mechanics are basic, and there is a huge gap between a generated demo and a finished game. But that is not the point. A few years ago, AI generated lines of code. Then it started building websites and apps. Now one person can describe a world and immediately step inside it. If this is what a single prompt can produce today, what will solo creators be building a year from now?