3 posts
I asked my AI agent how it wants to remember things. It redesigned its own memory system, ran a self-eval, diagnosed its blindspots, and improved recall from 60% to 93% — for two dollars. The interesting part isn't the benchmark. It's what happens when you treat an AI as a participant in its own cognitive architecture.
Everything we know about management theory exists because humans are emotionally expensive to coordinate. Strip that layer out and what remains is a clean systems problem. Running seven AI agents taught me why management practices exist — not just that they do.
I recorded a voice note while cooking dinner, describing a feature I wanted. By the time the onions were done, the feature existed — as the blog post itself. A builder's honest account of two weeks running an AI orchestrator, the maddening overhead of making it work, and why the compound returns are worth it.
