Building an AI QA Function

Software QA assumes a specification, deterministic behaviour, and a system that changes only when you change it. An AI feature violates all three, and a provider updating a model shifts behaviour with no commit for your pipeline to catch. This cursus covers what replaces the old practice: characterising a distribution rather than asserting correctness, the evaluation set as the function's real asset, a release gate with thresholds set before results are seen, and how to stand the function up in ninety days without it quietly dying.