In production, not in a deck
No POC theater. The goal is agents doing real work on your real repo, measured, from early on. If it can't survive contact with your codebase, it isn't done.
Approach
How we work.
The gap between a copilot in the editor and agents that run work in production is an operating problem, not a license or a model problem. Here is how we close it, on your stack and your standards, the same way we run our own studio.
0104principles
Augment, never replace
Your devs become the operators. This kills the fear that makes AI rollouts fail, and it's the honest position: good devs running good agents beat either one alone.
Respect the environment
We work inside your conventions, CI, and review culture, not a greenfield fantasy. Transition, not rip-and-replace.
We build, so we know
We're developers who ship AI products. We've felt every failure mode we help you avoid, and we run the same way of working on our own suite (WRAI.TH, trovex, yoru).
0204what crossing the gap involves
Crossing from copilot to operator isn't a better prompt or a bigger model. It's four engineering layers a demo never shows. We install the ones you're missing and train your team to run them.
Context the agents can trust
An agent is only as good as what it knows about your codebase. We stand up a context layer that serves the current, canonical answer cheaply, so agents are fast and correct instead of confidently wrong. It's why we built trovex, about 60% fewer tokens per doc lookup.
Orchestration so they don't collide
One agent is a script; a fleet is a coordination problem. We set who owns what, in what order, and how work merges, so several agents move in parallel without colliding or duplicating each other. It's why we built WRAI.TH.
Observability so you run on evidence
You can't operate in production what you can't see. We make what each agent did, what it cost, and where it failed visible in near real time, so agents are a measurable system, not a black box with commit access. It's what yoru is for.
An operating model your devs run
The hardest layer is people, not software. Your developers learn to set goals and guardrails, review at the right altitude, and step in when needed. The devs are the operators; the gains are theirs.
0304what you own when we leave
Not a dependency on us. When we leave, your team operates agents on production work, the supporting layer runs on your repo, and your leads can coach the next person.
A vendor wants you dependent; a good transfer wants you independent. If you still need us in six months to keep the agents running, we did it wrong. The capability is yours to keep, on the stack and standards you already had.
0404next
Two doors into the same capability: studio (we build it) or consulting (we transition your team). See how engagements are shaped on engagements.