Deploy, don't advise
The output of an engagement is a running system, not a recommendation.
About
[N.01/03]> Our mission
Companies don't have an AI ideas problem. They have a deployment problem.
They're surrounded by demos, pilots, and vendors. The hard part is getting from “we should be using AI” to “AI changed how this team operates.”
What blocks that rarely has anything to do with model quality. Nobody owns the workflow, the system lives outside where people work, and nobody agreed what “worked” means.
So we put engineers inside the work, build there, and leave the team able to run it. The name is the thesis.
[N.02/03]> Philosophy
Not an agency.A team in the work.
Deployment sets strategy
Ship the smallest useful version and let what happens set the roadmap.
Own the boring layer
Data, permissions, and evaluation decide whether the interesting part works.
Leave capability behind
Every system is handed back owned, documented, and run by your team.
[N.03/03]> Our team
Small on purpose.Builders who deploy.
Everyone here is expected to sit with a customer, decide what to build, and build it, often on the same day.
Join usJa'dan Johnson
JJFounder
Founded Stationed after years building technical communities and shipping systems for operators. Works across product, deployment, and recruiting, usually in the first customer conversation and the first pull request.
You?
[+]Forward-deployed engineer
See open roles ↗