Don’t make the mistake I did: manually orchestrating everything. I put all my experience into one long article about routers, harnesses, workflows, and why the real advantage comes from optimizing the full task, not each component. Please pay attention!

You saw the Round 1 result. Here’s everything behind it: the repo, exact prompt, hidden defects, verification, and ground-truth reveal. The interesting part wasn’t 9/9 vs 8/9. It was how differently Astra and Fable approached the same problem. ↓

The official Grok Bot guide for PMs starts with one hire: a Chief of Staff. Not ten bots. Not a swarm. One. I tried the 10-minute version: a role, a short charter, and one task I could verify in 30 seconds. The video is the test, not the trailer.

I put 10 Grok Bots inside one world. Four try to win. Six observe, measure, provoke, judge, and evolve the environment. The game is the demo. The idea is a decision wind tunnel for products and companies. Demo ↓

Despite everything that broke, the company still closed its own run correctly because I had automated the company’s brain, but not its eyes. The AI wasn’t the bottleneck. I was. Full experiment ↓

OpenClaw chose the questions. Grok did the digging. 33 minutes later, my AI company declared research sufficient then chased a company that didn’t exist. The database caught it. The experiment is still running. Full story ↓

What if you didn’t choose between Grok Bot and OpenClaw? What if: OpenClaw ran the company. Grok models did the thinking. Grok Bot did the computer work. That architecture is much more interesting than “Grok Bot vs OpenClaw.” ↓

Hot take: the future of AI agents isn't local OR cloud. It's a local model doing the routine 95% and a frontier model consulted like a senior engineer on the hard 5%. Here's the architecture, the real numbers, and the safety work everyone's skipping:

Ever posted an idea, watched it die… then saw a smaller account post the same thing and explode? I analyzed a 277K account that deleted hundreds of posts as X shifted toward rewarding original content. What they knew + what X’s new rewards change 👇

Before you give an AI agent access to your terminal, database, secrets, or production, read this. A prompt tells an agent what not to do. A security perimeter controls what it cannot do. Why this distinction matters more than ever ↓

How 50 Grok-generated videos, 10 ancient civilizations, three AI coding workflows, and many failed UI experiments became ChronoAtlas.

One of the videos that pushed me to investigate this further: five Fable 5 UI/UX one-shot tests. Worth watching alongside the article 👇 youtube.com/watch?v=tSg3FAdW… View article