Run public-facing AI labs that balance rapid iteration with responsible governance, telemetry, and user delight.
Media platforms and enterprise teams alike use labs to showcase experimental AI features, gather feedback, and iterate before general availability. Well-designed labs create excitement while containing risk: users know they’re testing previews, product teams capture rich telemetry, and governance keeps experiments aligned with policy. This lesson provides a blueprint for running such programs effectively.