Evaluation Pipeline

An evaluation pipeline is the infrastructure that takes a model, runs it against a set of test cases, scores the outputs, and produces results you can act on. It’s how you move from “let me manually check a few responses” to “I can reliably measure whether this model meets our behavioral standards.” A well-designed pipeline is repeatable — the same inputs always go through the same scoring — and fast enough to run regularly, such as before every model update. For behavior architects, building and maintaining an evaluation pipeline is foundational work: without it, you’re flying blind on whether changes to prompts, models, or training data are actually improving things.