Pre-launch · building in public

Talk to one agent. It runs a verified org of agents.

Describe what you want to build — an app, a game, a tool, a website, an automation, a bot, whatever. Concertor's supervisor AI hires a team of coding agents, runs them in parallel on your own machine, and makes a different agent check every result. Build anything — correctly.

No agent grades its own homework.

Early access as it's ready. Pre-launch, no spam. Following the build in public on X.

1One conductor

You talk to a single supervisor — voice or text. It plans the work, asks the 1–3 sharp questions before assuming, then delegates. Jarvis, not a form.

2A real org, in parallel

Managers → specialists → workers, nested up to five layers — each a real terminal you can watch, type into, broadcast to, or E-STOP. Recursion as data, not a toy.

3Verified by default

Every result is cross-examined by a different model before it counts. Speed is table stakes; correctness is the product. A confident wrong answer is the expensive one.

4Your engines, your machine

Routes each task to the best engine — Claude, Codex, or Gemini — on your own accounts, running locally. No metered servers, no markup on tokens you already pay for.

Watch the org think.

It all happens on an infinite canvas: every agent a node, every delegation a cable that pulses while a child is working. A question glides up the cable to the manager; the answer comes back down. You don't read logs anymore — you watch a team build.

web appsgameswebsitesinternal toolsautomationsscriptsdata pipelinestrading bots…anything