I built a Python evidence and governance stack that turns tool-using AI-agent runs into normalized traces, scorecards, evidence bundles, dataset exports, and promotion decisions. It supports multiple agent harnesses, deterministic demos, schema validation, redaction, held-out evaluations, and fail-closed quality gates.