The Evaluation Factory: How We Make Agents Measurably Better, Run After Run
Ask a team running an agent in production whether last week’s change made it better. Most can’t say. They swapped a model or rewrote a skill, eyeballed a few runs, and moved on. That works for a demo. It doesn’t work for an agent that touches production, where customers want two things that pull against each other: precision where a mistake is expensive, and low cost where the work is routine. A root cause someone acts on has to be right.