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Mac McFall — M87 Studio

2,464 passing tests across four independent governance implementations, built solo. Measured 2026-09-20. One of the four is public and documented end to end in the Governed Code-Change Evidence package, including three adversarial checks run against my own confinement and a disclosure of the run where that confinement was switched off. The other three are private and available for walkthrough.

Applied AI Systems Architect. I design AI-native workflows, agent systems, evaluation layers, and deterministic controls that turn business processes into governable, measurable software.

Governance is my differentiator, not my whole category: I build the enforcement layers, audit trails, and authority separation that keep autonomous systems from doing irreversible damage — and I build the products and integrations that sit on top of them.

Start here: Governed Code-Change Evidence (evidence package) → Spine Lite (public governance kernel) → Governed Swarm (reference architecture) → StemForge (applied engineering).

Repo access & maturity legend: 🟢 public · 🔒 private (case study available during interview). Maturity tags: reference · prototype · pilot · production-candidate. Where a repo is private, follow the public substitute or ask for a walkthrough.


Measured evidence

Executed test suites, not estimates. Dated so drift is visible rather than hidden.

System Access Passing Test:source LOC Measured
Commerce Authority Workbench 🔒 1,377 2.1 : 1 2026-09-20
M87 Crew 🔒 551 1.4 : 1 2026-09-20
Spine Pro 🔒 323 1.5 : 1 2026-09-20
M87 Agent Architect 🔒 213 0.5 : 1 2026-09-20
Total 2,464 1.08 : 1

Test code exceeds source code across the portfolio. Spine Pro is reported at 253 passing in the July evidence package and at 323 today; the suite grew, and both numbers are kept rather than quietly replaced.

Commerce Authority's suite includes a test that runs git ls-files *.md and fails the build when the repository's own documentation overclaims.


What I'm building

M87 Studio — a governance-first execution stack for AI agents, plus the applied products built on it.

Layer Project Access Maturity / License
Governance kernel Spine Lite (Python · JVM · .NET) 🟢 MIT, multi-runtime, alpha
Control plane Spine Pro 🔒 BSL 1.1, gate / token / executor / receipt ledger
Reference impl Governance Sandbox 🟢 BSL 1.1, reference
Executable spec (BPMN) m87-governed-loop 🟢 MIT, Python + Java, reference
Agentic substrate Governed Swarm 🟢 BSL 1.1, prototype
Audit m87-audit-agent 🟢 MIT, prototype
Evaluation m87-retrieval-evals 🟢 Retrieval + generation metrics, fail-closed judge, CI gate
Bridge m87-governed-bridge 🟢 Claude ↔ Gemini, archived research
Applied system StemForge 🟢 MIT, local GPU audio workstation
Live product Resonance 🌐 live · source private Hosted product, live Stripe billing, sole on-call operator

Operating thesis

  1. Proposal ≠ Execution. Agents propose actions. Governance executes them.
  2. Authority separation. Decision logic and execution logic stay on different sides of a contract.
  3. Fail-closed by default. Ambiguity halts. No silent recovery.
  4. Artifact-backed completion. No work is "done" without verifiable receipts.
  5. Model interchangeability. No design depends on a single model.

These invariants guide the M87 architecture. Spine Lite provides the deterministic policy-and-effects kernel at its foundation. The implementations vary by workflow; the control principles remain constant.


Open to

  • Applied AI roles — discovering workflows, building products, designing integrations, and directing AI-native implementation.
  • Advisory — governance architecture for AI-native teams shipping autonomous systems.
  • Design partners — for Spine Pro in regulated and high-assurance workflows.

📍 Portland, OR · 🌐 m87studio.net · 💼 LinkedIn

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