Labs
Where the work starts.
Labs is our research and infrastructure core — where applied AI ideas become the tools, agents, and products that reach the rest of the stack. This is how we work.
Foundation
The rules we build by.
Forged from Kelly Johnson's Skunk Works rules and built to run on The Cascade — our design methodology. This is the doctrine the Lab lives by.
Who builds
- 01
Committees don't build great products — innovators do.
Authority sits with the builder — human or agent. We delegate and decide, we don't deliberate things to death.
- 02
Stay small — a few humans, a fleet of agents.
Keep the human team viciously small and let agents do the volume. Leverage, not headcount.
- 03
One heartbeat, one vision.
One owner sets direction; people and agents execute against it. No design-by-committee — and no design-by-model-vote.
How we build
- 04
The spec is the product; the code is downstream.
Get the spec right and the code follows. AI output is only as good as its input — so the thinking, not the typing, is the work.
- 05
Move in small waterfalls.
Every feature cascades research → spec → build → review, small enough to finish in days. Fast because it's disciplined, not despite it.
- 06
Prototype to think, throw it away to ship.
Build a prototype to learn what's real, then discard it before the real build. Code is cheap to regenerate; insight isn't.
- 07
Context over bureaucracy.
Feed the work precise context, not process. A sharp brief beats a stack of reports.
How we keep it honest
- 08
Fly what you build — tests are the truth.
You verify your own work, early and for real. Agents generate; the test suite, linters, and CI decide what's done. Nobody grades their own homework.
- 09
Humans command, agents execute.
AI generates at volume; humans hold the review gates. Speed with someone always steering.
- 10
Useful beats impressive.
We ship what people reach for every day, not what demos well once. Applied means it works in the real world.
- 11
Work quiet, ship loud.
Guard the work while it's raw; let the result do the talking.
- 12
Every loop teaches the next.
Each cascade feeds its learnings back into the rules and memory, so the next one needs less correction. The system compounds.