
Your AI roadmap exists. Your team is capable. Months in, nothing has shipped at scale. I get it into production that lasts, without burning the people who run it.
A billion events a day at Yammer. Seven years and $7M+ of Fortune 500 engineering. Five exits. Kubernetes contributor.
Most AI dies at the demo. A slick pilot, a round of applause, and then nothing ships. Six months later the roadmap is a graveyard of proofs-of-concept and a team that flinches at the word “AI.”
I have spent fifteen years shipping systems that survive growth. Yammer to a billion events a day. Nextdoor through an IPO. My own company into a16z Speedrun. I have also watched AI hype torch good teams. So I build the durable kind: AI that reaches production, stays there, and leaves your team stronger than it found them.
I get AI past the demo and into the systems your customers actually touch, built to survive the next year, not the next sprint.
Tools stick when the people who maintain them helped shape them. Speed that does not cost you your engineers.
Five exits. A billion events a day. I made the expensive mistakes already, on someone else’s clock.
I work with a few teams at a time, at the principal level. If you need a contractor to burn down a ticket backlog, I am the wrong call. If your AI strategy is one demo away from a board meeting and you cannot afford for it to be theater, we should talk.
A product I build, in production today. It is proof I am still in the code, not my day job.
LTNT reads the signals around a company and shows where it has real leverage: market timing, competitive gaps, the moves only it can make. Durable AI, shipped and running.
See LTNT →Adoption is a people problem wearing a technical costume.
Speed that burns the team is not speed. It is debt with a deadline.
I say the hard thing early, in private, with care. That is most of the job.
The goal is a team that keeps shipping after I leave, not one that depends on me.
"Glo helped us sharpen our pitch and our strategy before we raised. Six months later we raised our seed from 500 Global."
"We walked in needing fundraising help. Glo tore our pitch apart, rebuilt it, and made the intros. We got into Character Labs."
On call. I take a few engagements at a time. LTNT is a product I build. It is proof I still ship, not my day job.
Both. Kubernetes contributor, author of the first Terraform provider for Oracle Cloud. I am in the codebase when that is where the problem lives.
No. This is engineering leadership for teams adopting AI at scale. Founder coaching still exists. It is a separate door.
A 30-minute conversation where you tell me the problem. Then a scoped engagement. Then on-call or retained, as the work needs.
Tell me what you’re working on. 30 minutes, free, no pitch.
A scoped first engagement against the one thing that matters most.
On-call or retained, for as long as it earns its place.