Training loops aimed at better, faster, cheaper AI agents

A user describes their Labs team's process: choose a problem or agent to improve, curate data and evaluations, run many training experiments, and continuously measure every tweak before repeating. They credit Baseten with helping run those experiments and argue that today's infrastructure and tooling let teams run hundreds of experiments tailored to their use cases. Their broader view: continuously turning valuable data and ideas into better models is a path to “owning your intelligence.”