I am not just writing about AI, agents, governance, and transformation. I am building small systems, testing product ideas, and using the work to sharpen what I believe.
Personal AI operating system
PatrickOS
A working coordination layer for the way I actually use AI: shared context, persistent project memory, and cleaner handoffs between tools.
The next productivity jump is not one smarter chatbot. It is a reliable system for keeping AI work coordinated across real projects.
Current proof
Built through repeated development sprints and used as the operating model behind this site work.
Some are products, some are operating systems, and some are experiments. The common thread is practical: build enough to learn what reality thinks.
Design partner validation
Bike shop AI assistant
SpokeDesk
A shop-facing assistant for bicycle retailers that helps answer customer questions, capture service intent, and turn messy inbound requests into usable work.
Local operators do not need abstract AI. They need tools that reduce interruptions and make the next customer interaction easier.
Proof
Local product workspace includes partner kickoff, pilot scorecard, production gate, and review checklist artifacts.
MVP exploration
AI risk and readiness product
Agent Passport Studio
A way to inventory AI agents, describe what they can touch, and turn that into an executive-readable risk and governance view.
As agents move into business workflows, leaders need a practical record of what each agent does, where it has access, and what could go wrong.
Proof
Built around deterministic scoring, agent profiles, and executive reporting.
Internal portfolio
Governance operating surface
AI Governance Portfolio
A collection of governance patterns, release gates, and leadership artifacts for moving AI work from scattered pilots into managed operating practice.
The organizations that win with AI will not be the ones with the most experiments. They will be the ones that can safely scale what works.
Proof
Maintained as a product-room style control surface for AI governance work.
Release hardening
Decision and readiness lens
ClarityLens
A lightweight evaluation product for making ambiguous business or AI decisions easier to inspect before committing time, budget, or credibility.
Most strategy failures start as unclear decisions. The product is aimed at making assumptions, tradeoffs, and readiness visible earlier.
Proof
Worked through checkout, paid-flow, portal, cancellation, and export validation gates.
Prototype
Workflow redesign tool
Agentic Value Stream Designer
A concept for mapping work as it actually flows, then identifying where agentic AI changes the bottleneck, handoff, or decision point.
AI transformation breaks when it starts with tools instead of work. This starts with the value stream and asks where intelligence should enter.
Proof
Maintained as a local product concept and release-readiness workspace.
Publishing weekly
Writing and field notes
The AI Catalyst
The writing arm of the work: essays about enterprise AI, agentic systems, leadership, governance, and the future of work.
Writing is how I sharpen the point of view, test the arguments, and make the practical lessons easier for other leaders to use.
Proof
Thirty-two essays are live on this site today, with the remaining LinkedIn archive queued for import.
The writing shows how I think. The projects show how I test that thinking against real constraints: users, security, deployment, confusing workflows, thin margins, and the ordinary mess of getting useful systems into the world.