I operate AI-native companies.
Then I build the same for yours.

Most people selling AI to companies teach it. I operate it. I run five companies, Sena, Precis, Gavel, TrueStandard, and GameTape, with co-founders, AI agents, and zero employees.

Zero employees is literal. Founder-led, co-founders in the loop on the big calls, AI agents doing the work that would normally need a team. No payroll. No recurring contractors. The companies run on a system, not on headcount.

Three things made that possible. The cost of running AI collapsed. The agent tooling matured. The deployment infrastructure got boring and reliable. Work that needed a team of twelve a few years ago now runs on a well-built operating system and a couple of humans.

I built that operating system for my own companies first. One context layer instead of data scattered across a dozen SaaS tools. A registry of reusable tools the agents call. Skills kept clean and non-overlapping. A nightly loop that reads its own transcripts and improves itself. Every agent run logged, so the whole company learns from how the best operator works.

What I do for you

I take what runs my own companies and build it for yours. Mid-market, $2M to $50M in revenue, operations-heavy, bought into AI but stuck on what to build, in what order, and who ships it.

The deliverable has a name: your company's AI Operating System. It captures your data and your team's expertise, then runs your workflows, so the business stops depending on any one person. You keep the domain expertise. I put the tool fluency where that expertise already lives. That's why it's co-built, not outsourced, and why it doesn't leave when I do.

Underneath it is one belief: you don't bolt AI onto old software, you build software the way it should be built now, as agents wrapping deterministic tools. That POV is behind every engagement.

Why now

Every mid-market company will be AI-native. The only open questions are who builds it and when. Most are still running 2022 operations while their competitors pull ahead, and the gap compounds every quarter. The window to leapfrog them is open now, and it closes as the cost of running AI keeps falling.

How we work together

Not ready for a full audit? Start with an Operator Working Session: a half-day where we stand up the first piece of your AI Operating System live with your team.