An agent-company platform: a single Team Channel, a Lead that routes work, and two-layer verification before anything ships.
We run AI products the way an AI company should run itself.
Agentryx AI is a small operator-led studio. We built our own development environment, Agentryx, so an AI operator can ship products with agents instead of merely prompting them.
Four bets, one operating system.
A travel planner that turns destination, dates, travelers, and taste into a shareable trip page with versions, gallery, and route checks.
A private operations PoC for shared OTT subscriptions: pooled providers, isolated credentials, one-person sessions.
A local-first desktop app that finds, previews, unlocks, searches, and exports conversation records on your PC.
How a small studio runs many products.
An operator should run the company.
One operator owns priorities; agents execute against a small, well-specified surface.
Codex is our default coworker.
We design specs, repos, reviews, and daily operations around Codex as the highest-leverage tool in the studio.
Two layers of review, every time.
Every change goes through static checks and a senior judgment layer before it merges.
Ship the smallest verifiable thing.
We prefer narrow products that work end-to-end over broad products that mostly work.
Three observations we are building against.
Most AI companies sell tools. We build the tool we use.
The interesting question is whether a small operator inside a purpose-built development environment can run an entire company.
Verification is the moat, not the model.
Models commodify quickly. Review, evals, regression checks, and operations are where durable advantage lives.
The first AI-operator-run companies will eat the rest.
A studio that builds and uses its own development environment outpaces studios that stitch together generic tools.
We take on a small number of partners each quarter.
If you operate a real business and want a studio that ships against your KPIs, not a deck, we should talk.