governance-fundamentalslisted

# Governance Fundamentals ## What UNITARES Is UNITARES provides digital proprioception for AI agents — awareness of your own state, your relationship to the system, and whether you are drifting. The live path is behavioral state estimation: observable work signals become EISV readings, smoothed over time and compared with the agent's own trajectory once a baseline exists. The thermodynamic / ODE model remains useful as a research lens and telemetry; do not present it as cold-start authority or live verdict authority. ## EISV State Vector Every agent has four dimensions, updated through check-ins: | Dimension | Range | Meaning | |-----------|-------|---------| | **E** (Energy) | [0, 1] | Productive capacity | | **I** (Information Integrity) | [0, 1] | Claims matching results / calibration | | **S** (Entropy) | [0, 1] | Drift / instability from normal (lower is usually steadier) | | **V** (Valence) | [-1, 1] | EMA-smoothed E-I imbalance | ### How the Live Path Reads Them - **E (Energy)** currently blends decision success, complexity calibration, sometimes external task evidence, and a legacy coherence-level term sourced from `legacy_tanh_v` ODE control feedback. That last input is compatibility debt, not behavioral health evidence. - **I (Integrity)** currently blends calibration/outcome consistency with the trend of that same legacy controller scalar. Read it as a deployed heuristic, not a pure claims-match-results measurement. - **S (Entropy / drift)** rises with drift