Key Info

TypeSafe AI lays out three criteria for a good AI evaluation and references a blog that tested 8 decision models on real company training datasets the authors personally audited, with Jev still ranked on top.

Highlights

  • A good eval should be ephemeral: it snapshots a moment in time and capabilities.
  • It should be grounded: measuring performance directly on tasks and data you care about.
  • It should be specific: operating on desired results rather than a proxy for them.
  • The referenced blog evaluates 8 decision models on audited real company training datasets.
  • Jev remains ranked first in that evaluation.