The Engineering Harness: Turning an AI Agent Into a Reliable Colleague on a Real Information System
The frontier conversation in AI has quietly shifted. For two years it was "which model is smartest?" Now the people actually shipping agentic systems are asking a different question: "what do you put around the model?"
That surrounding machinery has a name — the harness. The model is the engine. The harness is the chassis, the steering, the seatbelt and the brakes. A brilliant engine bolted to nothing kills you at the first corner; a modest engine in a well-built car gets you home every time. On the ktayl-solution information system — a six-node Kubernetes platform running a simulated insurer's entire IS — I've spent months building the harness that lets an AI agent do real engineering work against live infrastructure without me holding my breath.
This post is that harness, concept by concept. Not the theory — the actual rules I put in place, why each one exists, and the incident that usually forced it.