- Owns the course catalog end-to-end, source to lesson
- Reconciles lesson sources, manifests and style guides
- Drafts and routes lessons for human review
We run our own products on AI agents.
Not a demo. Not a pilot. A standing workforce of agents, across three of our own products, that deploys code, triages inboxes, and stands watch around the clock. This page is its annual report.
Twelve agents, reporting in.
Codenames are ours; the work is real. Each team owns a product or function, runs continuously, and hands the repetitive work back done.
- Routes the day's work across a five-agent team
- Files standups and decisions to the company repo
- Escalates only what genuinely needs a human call
What the fleet did, minute by minute.
Entries from a single real day in the fleet's logs, lightly redacted. It doesn't stop when the office closes.
Times are UTC. Yes, the 2 a.m. entries are real, that's rather the point.
Conservative counts from our own logs, we round down.
We build this for you, the same way we built it for us.
Find the workflow
We map where your week actually goes and pick the one workflow with the highest pain and lowest risk.
Build the agent
We configure an agent for that workflow in the tools you already use, tested against your real work.
Hand it over
You watch it run, get a one-page playbook, and own it outright. Then we tune it for 30 days.
You don't need a fleet. you need a first hire.
One workflow, one working agent, one flat fee. The same hands that run our fleet, pointed at your messiest hour.