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← AI Product Building learning path
AI Product Building · Module 10 of 10

Launching an AI feature

Ship small, measure, and iterate.

📖 Key ideas

  1. Start with an internal beta, then a small percentage of users.
  2. Define success metrics before launch (time saved, CSAT, conversion).
  3. Watch dashboards and read real conversations (with privacy rules).
  4. Fix top failure patterns, update evals, and release again.
  5. Write a short model card: purpose, limits, data use, contact.
💡 Real-life example: Like opening a new canteen counter: trial with staff first, then a few students, adjust the menu, then open to everyone.
BetaEarly release to a limited group
Success metricNumber that shows the feature works
Model cardDocument of purpose and limits
IterationRepeated improve-and-release cycle