Writing
I use this section for case studies, postmortems, and technical notes from systems I have led, stabilized, or shaped through selective consulting.
Method
The unified perspective behind everything else: six principles, four playbooks.
Explicit Control Loops · Evidence First, Measure Before You Optimize · Warnings Over Errors, Graceful Degradation by Default · One Config, Many Surfaces · Contract-Driven Integration · GitOps as the Boring Substrate
AI-Assisted Dev Adoption Loop · AI Infrastructure Readiness Audit · Healthcare Integration Onboarding · Agent Rollout With Guardrails
Introducing AI-Assisted Dev to a New Team · Auditing and Stabilizing GPU Infrastructure · Healthcare Integration From Scratch · Rolling Out Production Agents
Every post and case study with its principle and playbook tags — filter by any of them.
Case Studies
Delivery write-ups with metrics, stack choices, and the tradeoffs that mattered.
Blog
Technical notes, incident lessons, and implementation patterns worth keeping.
The Factory Upgrades Its Own Foundation: An MCP Spec Marathon
MCP shipped its first deliberately breaking spec revision. My agent factory runs on an in-house MCP SDK — so I wrote the gap analysis, filed the roadmap as factory backlog, and Mills started rebuilding the ground it stands on. Receipts included.
The Agent Gets Read-Only Credentials: A Trust Ladder for AI in Regulated Systems
How I run LLM agents against regulated healthcare payment data without losing sleep: a three-tier trust ladder, kill-tests before promotion, and guardrails that live in infrastructure instead of prompts.