Free lessonsAgent Evaluation Metrics and Practical Measurement
Agent Evaluation Metrics and Practical Measurement
2 lessons
Lesson 1 · 52:46
Evaluating Agent projects with five metric groups
Experiment：Break Agent quality into measurable signals across hallucination, satisfaction, latency, cost, and escalation.
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