
A Systematic Study of Evaluating Agents
Most teams ship AI agents that ace demos and fail in production. The gap between the two isn't the model — it's the absence of a rigorous evaluation system. Here's what frontier labs have learned, and how to build evals that actually predict real-world performance.


