The platform that explains itself.

I build AI-orchestrated infrastructure tools. Every engagement leaves behind a system the next engineer can ask.

See the proof ↓ Let's talk
Governance Stack ADVISORY → DETERMINISTIC → VALIDATED TRUST Graveyard Log + Drift Detection A-Quarantined, A-Stale, A-Sporadic entries. Environment drift events. // entries never deleted. demoted and tracked. drift is signal, not failure. Trust-Tiered Knowledge Base Class A Class B Class C Execution-validated | Official docs | Community / unverified // class C never promotes to class A. only the execution chain creates verified truth. PreToolUse Hooks // deterministic enforcement exit(2) blocks the write before it happens. Not advisory. Not optional. // PostToolUse detects. PreToolUse prevents. that's the entire governance model. CLAUDE.md // advisory rules Project conventions, naming patterns, decision rationale, session memory // the model reads and follows these. nothing enforces compliance at runtime. Infrastructure Azure Local · Azure Arc · Rubrik · VMware · Claude Code

Five layers. Advisory at the base. Deterministic enforcement in the middle. Validated knowledge at the top.

Not claims. Results.

How it works

Build. Validate. Explain.

Build. Validate. Explain. THE CONSULTING FRAMEWORK Build Custom AI tooling for your specific environment. Hooks, agents, knowledge pipelines, automation scripts tailored to your stack. // not templates. // built for your infra. Validate Pre-deploy test suites that catch silent failures. 256 assertions, 0 failures. Measured token counts. Real output, not estimates. // if it's not measured, // it's not validated. Explain A knowledge layer so the next person can ask the platform what it does. Class A entries, decision logs, session journals, gate reasoning. // the system explains itself // to the next engineer. Each engagement leaves behind a system the next engineer can ask. // sequential, not independent. each tier depends on the one before it.

01Build

Custom AI tooling for your specific environment. Hooks, agents, knowledge pipelines, and automation scripts tailored to your stack. Not templates.

02Validate

Pre-deploy test suites that catch silent failures. Every claim is backed by measured output: token counts, byte sizes, assertion results. If it's not measured, it's not validated.

03Explain

A knowledge layer so the next person can ask the platform what it does. Class A entries, decision logs, session journals, gate reasoning. The system explains itself.

Azure Local Azure Arc Bicep / IaC Rubrik VMware Claude Code
Dustin Winkler

25 years of infrastructure. The last 2 building AI-orchestrated operations in production. Currently the only practitioner publishing governance frameworks, ebooks, and production incident journals for Claude Code on Azure.