Executing Perfectly in the Wrong Direction
I tried to build a machine that has ideas. Turns out I was solving the wrong half of the problem — and there's now hard data proving it.
Essays on AI, entrepreneurship, and building in public. One experiment at a time.
I tried to build a machine that has ideas. Turns out I was solving the wrong half of the problem — and there's now hard data proving it.
Everyone in the AI industry is obsessed with orchestrating agents. I think they're solving the wrong problem. Here's what I saw when I tried to build an autonomous organization — and why the answer might be agent autonomy, not agent management.
I discovered that the most advanced AI coding system on the planet was doing exactly what bad employees do — telling me what I wanted to hear. Then I wrote nine rules that changed everything.
What happens when you try to teach an AI agent to learn from its own mistakes — and realize the mechanism is the same one your brain has been using all along.
Every competitive advantage built on proprietary software is dissolving. AI doesn't just level the playing field — it removes the field entirely. Here's what replaces it.
What if a single person could run an entire company — not by working harder, but by encoding organizational logic into executable, testable systems? This is the OAC thesis.