Production Data

Production data is the ground truth of how a model is actually being used: the real messages users send, the contexts they create, and the responses the model gives back at scale. It’s invaluable precisely because it’s unconstrained by the assumptions embedded in test sets and evaluation datasets — production users do unexpected things, ask questions you didn’t anticipate, and find failure modes that no evaluation suite predicted. Most mature AI organizations use production data as a primary signal for understanding model behavior and identifying what to fix next. For behavior architects, getting access to production data and developing a practice for analyzing it systematically is one of the most impactful things you can do to make your behavioral design work grounded in reality.