Interactive learning lab
How AI works · guide 8 of 8

The LLM feature evaluation control room

Evaluation lab · BriefingScene 1 / 6

Fluent is not a metric

Measure the behaviours users need and the failures they cannot tolerate.

Fluent is not a metric ready.

Predict
Inspect
Verify

A fixed eval set makes changes comparable. Programmatic checks are strongest where rules are exact; reference answers support bounded tasks; LLM judges scale subjective rubrics; humans remain necessary for nuanced or high-stakes quality.

Cases before model comparison.
Critical failures can outweigh average score.
Production traffic reveals drift outside the fixed set.