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Healthcare

Safety & Crisis Detection

Flags a crisis in milliseconds and escalates only the hard cases to a model.

Production proof: Demo version of my production cascade: resolves >99% of traffic in <100 ms and escalates the risky minority to deeper checks, tuned for high recall on genuine crises rather than a misleading accuracy number. Read the case study →

runs 100% in your browser, nothing is uploaded

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How it’s engineered
  • Tier 1 is a compiled pattern screen that resolves the obvious cases in well under a millisecond, exactly how you keep p99 latency flat.
  • Tier 2 embeds the message in-browser (MiniLM) and compares it against risk prototypes by cosine similarity, catching phrasing that patterns miss.
  • In production a third LLM tier reviews only the ambiguous residue, so >99% of traffic never pays LLM latency or cost.
  • The point of a cascade: accuracy where it matters, milliseconds and near-zero cost everywhere else.