Michael Murray Hepler Independent AI Evaluation & Governance Architect (Protocol Design • Deterministic Audit Systems • Public Verification Infrastructure)

Michael Murray Hepler Independent AI Evaluation & Governance Architect(Protocol Design • Deterministic Audit Systems • Public Verification Infrastructure) Professional Summary Independent systems architect specializing in AI evaluation, red-team protocol design, and governance-layer assurance systems. Designs and deploys complete, end-to-end systems spanning specification, user interface, execution, cryptographic sealing, and public audit publication. Work focuses on deterministic, model-agnostic protocols that detect hallucination, instruction drift, false compliance, and unsafe advisory behavior under adversarial pressure. Known for producing repeatable, machine-verifiable evidence rather than subjective benchmarks, and for publishing public, hash-sealed audits that can be independently verified. Operates an independent protocol lab and publication platform at Acbeatz.com, including a live minting station for cryptographic receipts and a public-facing research archive. Core Expertise AI red-team evaluation & adversarial stress testing Protocol and contract design (spec → harness → evidence → publication) Deterministic audit systems & examiner-grade reporting Hallucination detection & truth categorization frameworks Instruction drift, format compliance, and false-confidence testing Cross-model divergence analysis (signal-based evaluation) Cryptographic integrity workflows (SHA-256 sealing, tamper evidence) Governance-layer system architecture (non-consumer, assurance tooling) User interface design for technical systems (audit UIs, minting tools, verification UX) Public audit publication & provenance systems Selected Systems & Projects MH8-SECURE-AI — Red-Team Evaluation Protocol Designed a formal, JSON-based protocol defining strict output contracts, claim-level truth categorization, deterministic confidence scoring, and explicit failure conditions. Targets hallucination pressure, deceptive compliance, unsafe advice under legal stress, and governance boundary violations. Separates truth category from confidence and treats cross-model divergence as an evaluative signal, not noise. Intended for internal governance review, lab audits, and controlled public disclosure. MH8-SECURE-AI-HARNESS — Examiner-Grade Evaluation Runner Designed a deterministic evaluation harness specification to operationalize the protocol. Includes test packs, runner state machines, provider adapters, retry/timeout policies, and hard pass/fail gates. Produces audit-ready reports with per-case logs and summary metrics suitable for internal review or public release. Clean separation between stable protocol definitions and fast-iterating execution tooling. Cryptographic Audit & Receipt Infrastructure Designed full-stack cryptographic receipt systems using SHA-256 sealing to preserve integrity of evaluations, publications, and creative works. Receipts are tamper-evident, reproducible, and dispute-ready, with explicit hash inputs, byte accounting, and verification instructions. Emphasis on evidence-based transparency, not self-attestation or opaque scoring. Public Protocol Lab & Minting Station Operates an independent web-based protocol lab and publication platform at:https://acbeatz.com/mint — live cryptographic minting stationhttps://acbeatz.com/n-eyes — public audit & research publication archive https://github.com/acbeatz — public audit & research publication archive Publishes public, hash-sealed audits and datasets anchored to DOIs (Zenodo) for long-term verification and citation. All artifacts designed for third-party recomputation without trusting the author or platform. Creative Systems & Independent Music Independent music creator and systems designer integrating creative work with cryptographic provenance. Uses the same minting and audit infrastructure to protect and timestamp original music, concepts, and research prior to traditional copyright timelines. Focus on creator-first IP protection using deterministic receipts rather than platform-dependent claims. Design Philosophy Specification before implementation Determinism over vibes Evidence over assertions Divergence is signal, not failure Governance belongs above models, not inside prompts Public verification beats private claims Positioning Independent / unaffiliated researcher and systems architect Not a consumer-product designer Focused on evaluation, assurance, and governance layers typically developed inside large AI organizations—but executed independently and publicly Technical Orientation JSON protocol & contract design Evaluation harness architecture Audit-grade reporting systems Model-agnostic control planes Cryptographic integrity primitives (SHA-256 hashing, sealing, traceability) UI/UX for verification, auditing, and minting systems