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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