I evaluate AI systems the way I maintained F-16s: document the evidence, state the limits, sign the record.
Four domains, one method: document the evidence, state the limit.
BS-02 / Work
Each record ties an implementation choice to a governance concept, and separates what the evidence establishes from what it does not.
Local-first readiness tracking with five sectors, three states, and thirty days. No accounts, backend, or telemetry.
A daily tool can operate without accounts, a backend, or telemetry.
Every operational outcome or long-term user result.
A bounded Python demonstration of where computational autonomy verification stops under Rice's Theorem.
A finite check can decide an exact property within a stated bound.
Safety or behavior of an arbitrary real system.
BS-03 / Capability
A cross-domain practice built around disciplined evaluation, traceable documentation, and policy analysis under constraints.
01 / Evaluation
Evaluate algorithmic outputs against defined standards, surface edge cases, and preserve the reasoning trail.
02 / Governance
Translate technical behavior into claims, evidence, assumptions, and explicit limits a decision-maker can inspect.
03 / Policy
Connect rules, risks, sources, and operational consequences without outrunning the available evidence.
BS-04 / Availability
Open to AI governance, assurance, policy operations, responsible AI QA, technical compliance, trust and safety, and model evaluation support.