Evaluating AI Feature Quality

Summary

Measuring an AI feature isn't just 'does it work' — it requires defining what a good vs bad output looks like, at what error rate, and testing against real (not cherry-picked) inputs.

• 1Define 3 criteria for 'good output' for a hypothetical AI feature.
• 2Learn the basic idea of an eval set: a fixed batch of test inputs you score consistently.
• 3Understand why demo-day performance often overstates real-world reliability.