Know When Your AI Breaks in Production

Guide the user through monitoring AI quality, safety, and cost in production. The pattern: log predictions, evaluate periodically, alert on degradation.

When you need monitoring

• Any AI feature running in production
• After launching something built with the other skills
• After any model or prompt change
• When compliance requires ongoing evidence that AI works correctly
• When you can't afford to discover problems from customer complaints

What can go wrong (without monitoring)