Founder · CEO · Speaker
I run a software company where the entire engineering department is me and a fleet of AI agents. I write down what that means for people who run things.
The technologists speak in tokens and agents. You speak in P&L and headcount. Almost nobody speaks both. That gap is where I live.
Most enterprise AI initiatives fail because they're owned by IT instead of the business. Most AI writing is by technologists, for technologists. The work here is simpler: help leaders understand and act on AI without becoming technologists themselves. No condescension in either direction.
Foundation models are commodities that leapfrog each other every quarter. The real advantage is the orchestration you build around them.
Read →Headcount used to prove a function was serious. Now the real tell is output per person, and the gap between systems and slides is widening.
Read →Route AI to IT and you get theater. Pilots, committees, a chatbot. The leverage was never in the stack. It is in who owns the redesign of the work.
Read →The flagship channel is where the ideas get their full length. Filmed conversations with the operators doing the work, deep dives on the frameworks, and the unfiltered story of running a company this way.
Operator Conversations Filmed conversations with enterprise marketing, strategy, and transformation leaders about what's actually working.
Deep Dives Named, numbered, and built to survive contact with a real operating plan.
Behind the Operation Building a company on agentic systems, wins and failures both, shown as it happens.
Not an AI expert. Not a business guru. The translator.
A decade operating at the executive level, then a year and a half living inside agentic AI as the sole engineer of a twenty-person operation. This site is the journal from that bridge.
Long-form essays, videos, and operator notes on what AI actually means for the people running things. Occasional, considered, no recycled hot takes.
No spam, no AI hype. Unsubscribe whenever.
