# Prospect

- **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:** [Will Blair](https://cerebralvalley.ai/u/willblair)
- **GitHub:** https://github.com/williamjblair/prospect
- **Demo video:** https://www.loom.com/share/2543eb9c4b354a91b6639440752939c5
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/258

A model writes a confident list of disease genes in a second. I checked those lists against a frozen human CD4+ T-cell CRISPRi screen the model can't recompute. The data contradicts almost half of the confident major-regulator calls. That's 46 out of 96, a 47.9 percent contradiction rate, with a 95 percent confidence interval running from 38 to 58. A fresh Claude Opus 4.8 run comes in at 51.7. The wrong calls land on famous genes rather than the biology, at permutation p 0.0001, and how sure the model says it is tells you nothing about whether it's right.

Prospect checks a claim after the model makes it and before anyone believes it. It types each gene as a driver, a passenger, contradicted, or not assayed, hands back a signed receipt, and marks every result accepted=false until a person signs it with an Ed25519 key. No model can sign. A model has accepted zero records.

Once AI writes most of the candidate work, the hard part is no longer producing claims. It's deciding which ones to keep. Reproducing a result is not the same as verifying it. Prospect is a small working version of the record science needs, where the data decides what counts and the next person starts from a judgment already made instead of remaking it.

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/258. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt