# NUDGE

- **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:** [Nicholas Roy](https://cerebralvalley.ai/u/nicholasroy)
- **GitHub:** https://github.com/NicholasEhsanRoy/NUDGE
- **Demo video:** https://youtu.be/GM831aIhIBU
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/282

NUDGE — an "honesty engine" for AI-driven science. Point it at a
  differentiable model of a biological system; it tells you which parameters you
  can actually trust, and designs the experiment that resolves the ones you
  can't.

  Why we built it: AI can now fit any model and hand you confident numbers —
  including confident wrong ones. In a drug trial that's dangerous: when amyloid
  plaque falls, you can't tell if the drug did it or the body did. We wanted a
  tool that reports what it measured, not what it guessed.

  What we found: a capable AI agent can already derive this math by hand — so
  the real value isn't capability, it's trust: NUDGE gives audited,
  reproducible, guarded answers. It refuses to over-abstain (won't throw out a
  sloppy-but-predictive model), refuses to over-claim (won't fake a number on an
  unidentifiable design), designs the trial that separates a drug's effect from
  natural clearance (~259× sharper, same scans), and every figure ships with
  the code to reproduce it byte-for-byte.

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