Run public-facing AI labs that balance rapid iteration with responsible governance, telemetry, and user delight.
1. **Proposal:** Product teams draft a one-pager covering purpose, target audience, safety guardrails, and metrics.
2. **Review:** Governance board evaluates alignment with strategy, privacy compliance, and resource availability.
3. **Launch:** Publish experiment on the lab portal with clear labeling (“Experimental,” “Limited beta”). Provide tutorials.
4. **Evaluation:** Monitor telemetry (engagement, completion, error rates) and collect qualitative feedback.
5. **Decision:** Graduate, iterate, or sunset based on data and resourcing. Communicate outcomes to participants.