AI companies love to share test scores, but the test itself matters just as much as the result.
What makes a test useful
A good test should look like real work. It should include hard examples, clear rules, and enough detail for other people to check the results.
If a company makes its own secret test and will not share the details, readers should be careful. A hidden test can turn into a marketing tool instead of a fair measure.
Signs of a stronger test set
- It matches real tasks.
- It includes mistakes and edge cases.
- It uses clear scoring rules.
- Other people can repeat it.
- It is not built around one company’s strengths only.
Better testing leads to better AI reporting.
