An independent benchmark project

Better questions.
Clearer comparisons.

A place to explore what AI models can do, through personal benchmarks and the details behind each result.

Explore the benchmarks

First benchmarks coming soon. Every result will come with the method behind it.

FIELD NOTES001 / THE BEGINNING

Every comparison starts
with a baseline.

The questions come first. The scores follow.

THE BENCHMARKS

An open notebook.

WORK IN PROGRESS

The first questions are taking shape.

No results have been published yet. This is where you’ll find the benchmarks, the models tested, and what the results mean.

Read the approach

THE APPROACH

A score is a starting point.
Context makes it useful.

This project starts with curiosity about how different models handle specific tasks. The benchmark design comes next, with these principles in mind.

01

Ask a specific question.

Start with a task worth understanding. Make it clear what a benchmark measures and what it leaves out.

02

Show the working.

Give results their context: the test setup, model versions, and how the responses were evaluated.

03

Leave room for nuance.

Look beyond a single ranking. Explore the differences, limitations, and examples behind the numbers.