What it is
AI monitoring tracks how models behave with real users: accuracy, latency, drift, and risky outputs.
What to watch
- Quality versus benchmarks or human review
- Latency, error rates, and cost
- Safety events like PII leaks or off-policy content
Good practices
- Alert on meaningful thresholds
- Sample and review outputs regularly
- Tie metrics to product outcomes, not just model scores