Evaluating an AI workflow before customers depend on it

An AI feature needs an evaluation set that reflects the work it will actually perform. This article shows how to collect representative tasks, define acceptable outputs, test failure modes, measure human review effort and decide whether the workflow is ready for a controlled release.