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Agentic AI Systems Builder · Enterprise AI Transformation Leader

I don't just build AI apps — I built an AI system that builds them.

By day I lead enterprise generative-AI transformation at VF Corp — The North Face, Vans, Timberland, Dickies. By night I build the system on this page.

See how the system works Get in touch
Role
Agentic-AI systems builder · enterprise AI transformation leader — currently Senior Program Manager, AI at VF Corp
Available for
Forward-deployed / applied-AI engineering and AI-transformation leadership · select advisory and fractional work · speaking — get in touch
Watch it shipExplore the fleet
Command CenterSINGLE SOURCE OF TRUTHOrchestratorASSIGNS + SEQUENCESREADS / WRITES STATEAGENT / 01PlanningAGENT / 02Build · app AAGENT / 03Build · app BAGENT / 04VerificationSign-in entryAbsorbyPublicSoundpetalPublicGlyphPreviewAdvisor OSPreviewSkill ForgePreview · sign-inFluiditBUILD LOOP · PLAN → BUILD → VERIFY → SHIP → REGISTER

Snapshot as of 14 October 2026. Source details on The System.

01 / Where to go next

Two ways to read this.

If you have 30 seconds

The short version.

What the system is, what it has actually shipped, and how to reach me. Three pages.

  1. 01The System — the argument, one page
  2. 02The Fleet — what it shipped
  3. 03Contact — the ask

If you're screening the work

The deep dive.

How the orchestration layer works, every app it built, and the two decades of judgment behind what gets built.

  1. 01The System — pillars, build loop, real numbers
  2. 02The Fleet — 6 apps, live links, build stories
  3. 03Experience — two decades, 6 roles
  4. 04About — who's behind it

02 / Vision

The age of hyper-personalization.

In a world where you can build anything, knowing what to build is your greatest strategic competitive advantage.

The real edge is judgment × build-capability: two decades of technical product management, design, and strategy to know what to build, plus an agentic system that builds it at the speed of ideas.

A decade ago I saw both the personalization opportunity and its bottleneck: you can't create the breadth and depth of content to speak distinctly to every persona — you can't 5× the creative team or budget to match. That ceiling has held brands back ever since.

AI breaks exactly that bottleneck. We're entering the age of hyper-personalization — I saw it early, bet on it in 2020 (pre-ChatGPT), and I'm building it now: at enterprise scale inside VF, and app-by-app through the fleet.

This is the throughline behind judgment × build-capability — a decade of conviction about what to build, finally paired with a system that can build it.

03 / What the system built

Proof of output.

Project→
Absorby

Personalized AI news briefings.

AI ingestionPersonalizationReferral unlocks
Project→
Soundpetal

A touchscreen instrument and studio, reborn.

Instrument + studioAI theory coachElevenLabs
Project→
Glyph

AI adaptive learning that fits the learner and the subject.

Adaptive learningAI generationSTEM sandboxes

The thesis

"A concept that was economically impossible to fully build a decade ago — even with millions — brought back to life and expanded by a single builder. That's the thesis: AI-first building makes the previously impossible feasible."

— On rebuilding Maestro Touch as Soundpetal · read the story →