Accelerating personalized health protocols with agentic AI
Modular agents parse clinical documents, assess risk, and compose protocols in under five minutes.
HealthTech
Agents, Eval, Sprint
Sprint → Build → Run
ISO 27001:2022
Strategic Context & Objective
Windmill implemented an agentic pipeline (LangChain + Azure OpenAI) for protocol generation: intake parser, risk assessor, protocol composer, diet/lifestyle/supplements agents, and a report generator outputting structured JSON. xLongevity is a Windmill client and a Windmill founder is an officer of xLongevity. We publish these numbers because the work is real, and we say this because you should weigh them knowing it.
Architecture & Pipeline Implementation
We implemented a modular agentic architecture engineered to handle complex institutional constraints: privilege separation, immutable audit logs, deterministic prompt fallbacks, and real-time citation validation powered by Audra Eval.
Human-on-the-Loop UX
Confidence-graded interfaces allow operators to review reasoning chains and intervene seamlessly whenever uncertainty rises above configured thresholds.
Audra Eval Quality Gates
Automated regression test suites block model updates or prompt drifts from staging unless accuracy and citation scores exceed 98%.
Sprint proves it. Build ships it. Run keeps it alive for 2-5 years.
This project followed our proven lifecycle: a 4-week Agentic AI Design Sprint on sandbox data, rapid production build in weeks, and ongoing Run governance.
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