The interface model separates signal ingestion, cohort resolution, Twin state, StateK computation, calibration, and SETPOINT execution.
Normalize biomarker, behavior, clinical, and self-report signals
Cohorts · reference priors · Twin state · calibration
State · confidence · transition readiness
Protocols · practices · outcomes · feedback
Normalize biomarkers, behavior, clinical context, and self-report.
Resolve probabilistic cohort context and reference-human priors.
Initialize, retrieve, and update the longitudinal individual model.
Compute current state, confidence, and transition readiness.
Apply evidence, outcomes, and recalibration updates.
Expose execution-ready state to protocols, practices, and feedback loops.
Input systems should not make model or clinical claims.
Cohort interfaces expose probabilistic context, not fixed identity.
The Twin is an individualized longitudinal model, not the execution layer.
StateK computes readiness and transition logic for downstream execution.
The current routes describe architecture interfaces, not final public API contracts.
Signal, cohort, Twin, StateK, and calibration contracts should evolve independently.
Interfaces should return bounded modeling and state outputs, not diagnosis or treatment decisions.