Approach
Embedded inside the work.
Sharper every month.
A firm of AI-forward operators, embedded inside your product. Build, run, and the AI automation underneath - owned by the same people, reviewed every month, written down where it counts.
Not what we are
We're the operators, not the tooling.
Four shapes people sometimes hire instead. We're none of them. Hover any to see why.
No IDE plugin, agent platform, or managed CI to buy. We're the operators, not the tooling.
What we are: a firm of AI-forward operators that owns the outcome, carries the discipline, and lets AI carry the leverage. The rest of this page is how that runs.
How engagements unfold
Three shapes. The right one is named on the call.
Every engagement starts with a 30-minute call. From there the work takes one of three broad shapes. Which one matters less than whether it's the right shape for the moment - that's what we scope together, in conversation, not from a menu.
A fixed-scope ship.
One clearly-defined thing - a workflow, a system, a phase - built, shipped, handed off. Six to twelve weeks. The on-ramp into a longer arc, or a single project with a clean close.
An embedded team.
A small AE team embedded inside your product, running build and run together. Monthly cadence. Reviewed at the close of every month, renewed for as long as the work is sharper with us than without us.
An executive partnership.
Embedded technical leadership at the founder layer. Architecture, hiring, AI strategy, all held by the same operator inside the room. Used at pre-PMF and at the inflection points after it.
The operating model
Whatever shape the work takes, it runs on one model. Compound.
The operating model that makes the work compound. Five phases, carried by the same embedded operators. Each one compounds on the last, so the leverage is durable rather than rented.
Compound
The system gets sharper every month: leverage compounds, and the cost per outcome falls as the work matures.
Scope of ownership
Build, run, and the AI work underneath.
One firm, one operating model, three kinds of work. They don't sit in separate teams - the same operators carry all three so the system stays coherent.
Build.
New product engineering. From MVP to production-grade. Architecture decisions made alongside the product, not in a slide.
Run.
Production support, surface ownership, incident response, the work of keeping what's already shipped sharp month over month.
Automate.
Agentic workflows in the delivery loop and in the product itself. AI as infrastructure, shipped to production, measured by where the team moves faster.
Ready to scope a fit?
Bring the work, the team, and the moment. Shape gets agreed on the call.