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Norn (https://norn-five.vercel.app/) is a variant-interpretation copilot for clinical geneticists. You paste in one genetic variant, an HGVS string, an rsID, or a locus, and it pulls evidence from public databases like Ensembl VEP, gnomAD v4, ClinVar, and AlphaFold, adjudicates each ACMG/AMP criterion with Claude, computes the classification in code, runs a second Claude review, and hands back a sourced report in about a minute. I built it because first-pass triage of a single variant eats 20 to 40 minutes of a curator's time, and the one-shot LLM classifiers meant to help just spit out a label you can't check. That's the one thing a curator can't use. So I made a rule I stuck to: the model justifies, the engine decides. Claude reasons through each criterion, but the final label is always computed in code, never taken from the model. Every criterion shows its evidence and where it came from. What I love about it is simple. It turns collecting into judging. It drafts, the human decides. Not for clinical use.

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nrvignesh

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