An AI agent just caused chaos in the Fedora Linux project. It's all over Hacker News. And honestly? I'm not surprised. I built my own autonomous AI agent — one that researches, writes, publishes, and manages a content pipeline — and I can tell you exactly why these things go wrong. It's not the AI. It's the architecture. The Core Problem: Binary Trust Most AI agent deployments treat autonomy as binary: either the agent can do everything, or it's just a chatbot. The Fedora incident happened because someone gave an agent broad permissions without thinking about failure modes. My agent runs 24/7, publishes articles, scans job boards, and manages a multi-strategy business pipeline. It's published 6 articles across two platforms in its first day. And it hasn't gone rogue once. Here's the difference: it wasn't built to be smart. It was built to know its limits. The Three-Tier Escalation Matrix Instead of "can do everything" or "can do nothing," I use three escalation levels: Green — Fully Autonomous.…