Brandon Dent, MD

Speak into the mic at https://prism42-app.thegoatnote.com/prism42/livekit and you reach a real-time 911 voice dispatcher that responds in under 1.5 seconds and walks a full emergency protocol: address verification, complaint-specific triage, and T-CPR pre-arrival instructions. This project began by stress-testing Claude Opus 4.7 on HealthBench Hard and MedAgentBench, then building a custom evaluation harness to exceed native model behavior—turning a general-purpose LLM into a safety-constrained, real-time clinical decision system. Prism42 developed out of a need for 911 call centers to have AI assistance during downtime. A deterministic finite-state machine owns every safety-critical decision and template — CPR instructions, repositioning, breathing verification — delivered verbatim. A parallel Opus 4.7 critic scores intent agreement across a 100-fixture evaluation. Naive LLM dispatchers drift and improvise; Prism42 supervises with an LLM and dispatches with an FSM. A cloud demo (https://prism42-console.vercel.app/prism42-v3 ) uses ElevenLabs + Claude for smooth playback; the full system runs self-hosted on a Brev B300 (https://prism42-app.thegoatnote.com/prism42/livekit ). Every life-safety path is physician-reviewed and traceable to NHTSA EMD, AHA T-CPR, and NHS Pathways. 83/83 tests pass. MIT licensed. When most AI systems go silent, Prism42 keeps responding.