From One score cannot tell the whole story.Issue published Aug 14, 2026

Before using a leaderboard, ask what it really tests.

Published August 9, 2026

What it saysModels changed position across different agent benchmarks. A broad score can mix reasoning, tool use, and other abilities in ways that hide what improved.

Why it mattersChoose tests that reflect the work your users need done.

Try thisName the specific ability you need to measure.

How to use it

Suggested steps

  1. Name the specific ability you need to measure.
  2. Check which tasks in a benchmark actually require that ability.
  3. Test critical abilities separately before combining scores.
Start with the intended useConceptual explanation · Evals Weekly
CheckWhat to look for
Your user’s taskThe ability that matters
Benchmark taskEvidence it measures that ability

Keep in mind Different rankings are not automatically an error: different tests may measure different abilities.

A quick check for yourself

What is the practical lesson?

Show answer

Choose tests that reflect the work your users need done.

Source & why it’s here

Construct Validity Failures in Agentic AI Benchmarks (opens in a new tab)

Original issue reading order, preserved from the archive.