Lesson 27 / 29
Monitoring and Continuous Improvement
Watch real traffic and feed failures back into the test set.
The loop after launch
After launch, track quality signals (validation failure rate, retry rate, refusal rate, thumbs up/down, escalations to humans), latency, token usage and cost, and drift (user questions change; the provider updates a model). Sample real conversations weekly with privacy safeguards, label the failures, add them to the test set, adjust the prompt, test, and release as a new version. Alert on sudden changes in these numbers. This loop of observe, test, fix and release is what keeps a prompt-based product reliable over time.
Quick check: What closes the improvement loop?
- Changing models randomly
- Ignoring complaints
- Deleting logs
- Adding real failures to the test set before changing the prompt
Answer
Adding real failures to the test set before changing the prompt — Failures become permanent regression tests.