# Cruciblees

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Lucas Stoffl](https://cerebralvalley.ai/u/LucZot), [Abhishek Thanki](https://cerebralvalley.ai/u/abhshkt)
- **GitHub:** https://github.com/LucZot/crucible
- **Demo video:** https://drive.google.com/drive/folders/1bHJXHixUxF7KYIK4ZpFExYB1Q7qngtEg?usp=drive_link
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/246

Science has always started with people with a question, an idea, and the
work to turn it into a finding. Today, tools like Claude for Science help
researchers do that faster than ever. But as the number of findings grows,
so does an urgent question: which ones can we actually trust?

A result can reproduce perfectly and still be wrong. A model may have
learned the patient instead of the disease, or the scanner instead of the
biology. Acting on those artifacts costs researchers time, funding, and—
ultimately time patients do not have.

So we built Crucible.

Crucible takes an analysis—its code, data, and claim—reproduces the original
result, and then puts the finding itself on trial. Four Claude reviewers
challenge it from different directions. Crucible re-executes their tests and
produces a Report Card backed by reproducible exhibits, exact
rerun commands, and concrete fixes. Researchers can bring that evidence into
Claude for Science, repair the analysis, and ask Crucible to verify it
again.

Crucible is the safeguard for the AI wave in science.

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