GeneEcho: Backend System Architecture

Instead of building 50 individual integrations, use an aggregator API like Terra to standardize high-frequency webhook streams from Oura, WHOOP, Dexcom, and Apple HealthKit into a unified JSON format.

Pulls historical EHR data via Epic FHIR APIs. This builds the initial longitudinal medical history (The Long Memory) during the 60-Second Magic Onboarding.

Encrypts raw biometric data immediately. Only the athlete's private key can decrypt the full payload. The team dashboard only receives a mathematical proof (True/False) of readiness.

Neo4j maps relationships: (Athlete) -[HAS_STRAIN]-> (CNS) -[REQUIRES]-> (Recovery). Pinecone stores unstructured medical text (physio notes, MRI reports) for fast RAG retrieval.

The ReAct (Reasoning + Acting) loop. The LLM continuously evaluates state. "If HRV < 40 and Game = Tomorrow, then Trigger Recovery Protocol."

Epistemic boundary check. Before the Agent executes an action, this deterministic rule engine verifies the action doesn't violate the CMO's hardcoded medical safety protocols.

Autonomously texts the private chef: "Decrease morning training carbs by 20%, increase hydration." Alerts the private physical therapist of specific micro-tears.

Direct API connection to local cryotherapy centers or IV hydration clinics. The agent checks the athlete's schedule, finds an open 1-hour window, and books the appointment automatically.

Automatically routes payments for booked care from the athlete's HSA/FSA or agency expense account, closing the loop without human accounting.