Executive Briefings for Engineering Leaders
Three-minute architectural memos for CTOs, VPs of Engineering, and Risk Guardians scaling AI-assisted software delivery without sacrificing module boundaries, auditability, or senior engineering focus.
Turning Existing 16GB-24GB Enterprise GPUs Into Governed Coding Nodes (Without Day-Two Developer Friction)
What a 108-episode audit across six open-weight AI models (8B to 32B) revealed about running private coding models on older enterprise NVIDIA cards, where small models hit a hard capability floor, and how architectural escape hatches prevent developer pushback.
Replacing 30-Page AI Specification Novels With a 4-Layer Progressive Intent Compiler
Why authoring giant upfront Markdown requirements documents recreates 1995 Waterfall for AI coding agents, and how lowering requirements vertically across four verified layers ships working software by Day 3.
Why Green Unit Tests Hide Architectural Drift in AI-Generated Code
What happened when an AI coding agent received explicit hexagonal architecture rules across Python, TypeScript, and Go, passed 100% of unit tests, and still violated core module boundaries on every single build.
Governing AI Coding Velocity in Aged Brownfield Codebases Without a Day-One Rewrite
Why greenfield AI coding demos fail inside 200,000-line production repositories, and how diff-scoped structural ratchets eliminate the senior PR review bottleneck without halting feature delivery.
Request a 20-Minute Seam & Governance Scoping
Queue a direct architectural review of your repository seam, agent token-thrash profile, air-gapped GPU appliance requirements, or Nomos Sovereign fleet deployment.
Principal Systems Architect Mark Gantlett personally leads up to two fixed-scope 14-Day AI Governance & Seam Charter Pilots ($15k - $25k USD) per month alongside enterprise Sovereign deployments.