See the decisionbefore it costs you.
A new way to compute an organization—one self-correcting engine that makes the system visible, earns trust for its AI, and grounds how the business is run.
pip install warmwinternpm install warmwinter
Proof-of-pipe, not customer traction. Recorded July 18, 2026.
THE DECISION IN FRONT OF THE ACTION
Confidence is cheap.
Calibration is earned.
Warm Winter learns cell by cell from what actually happened. Stakes rise; evidence requirements rise with them.Act
The record is deep enough, recent enough, and calibrated enough to proceed.
Escalate
There is signal, but not enough earned depth for this level of consequence.
Abstain
No defensible basis. The system refuses to manufacture certainty.
PROOF BEFORE PROMOTION
We put our own agent through it first.
Every file edit, shell command, and git push in the founder’s Claude Code workflow runs through Warm Winter in shadow mode. It observes and learns. It never changes the agent’s permissions.
- BODY-FREE
- No prompts, file contents, tool arguments, or outputs sent.
- SHADOW-ONLY
- The native permission system remains authoritative.
- HONESTLY LABELED
- A real learning record. Not evidence of external adoption.
THE LONG DESTINATION
The Observatory
Reveal structure.
Preserve agency.
A living instrument for perceiving consequential systems—where color is state, motion is change, texture is uncertainty, and geometry is structure.Explore the live demo ↗ONE ENGINE · THREE EXPRESSIONS
A system you can finally
see, trust, and steer.
The opposite of a dashboard: not a report of the past, but a live, self-correcting model of how the organization is actually behaving.Observatory
Your organization as a living field: where it is under strain, where it splits under load, and where you are still blind—while there is room to act.
Explore the demo ↗Gate
A judge for autonomous software. It verifies what AI agents actually do against real outcomes, so trust is earned rather than assumed.
Gate a call →Operator
The same engine for running a business day to day—turning the messy signals that actually move a company into decisions grounded in what works.
Meet Operator →FIRST EXTERNAL COHORT