Benchmarks & research

explore-typesafe-ai

Five hospital tasks, a thousand synthetic patients, and Jev answering every one, with Claude writing the scenarios and reviewing the results.

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What it does

The label sets were fixed before the first model run, so the answers could not shape the test.

How you can use it

For a healthcare project, borrow the way this study fixes expected answers before testing AI. Start with its made-up patient cases, not real records. A developer can compare new answers with the saved ones. Results on made-up patients are not proof of safety in care; qualified people must still make real clinical decisions.