Free lessonsAgent Evaluation Metrics and Practical Measurement
Agent Evaluation Metrics and Practical Measurement
2 lessons
Lesson 2 · 0:54
Supplement: closing the Agent metric walkthrough
Experiment：Close the practical walkthrough with a short supplement on the same Agent metrics.
Open this lesson on Bilibili森_MSBilibili seriesThe lesson is in Chinese and plays from Bilibili.
Not translated yet — showing the Chinese originals.
About the series
Build a practical Agent evaluation line across hallucination, empty-answer, satisfaction, token cost, TTFB, and escalation metrics, using reproducible log-based measurement.
- Who it is for
- Testers, engineers, and product teams who need measurable Agent quality signals for acceptance and production monitoring.
- What you can do afterwards
- Design quality, experience, and cost metrics for an Agent and use a log-based Python workflow to locate bottlenecks.
Training a whole team? It is arranged by scope. Book an evaluation