#evaluation

A case study in using Caliper to evaluate blader/humanizer, tighten voice calibration, and turn the improvement into an upstream contribution with regression coverage.

Tribal knowledge encoded as an AI skill is still just text until you evaluate it. Ablation baselines, routing regression tests, trajectory autoraters, and the gotchas flywheel keep encoded knowledge from rotting.