Earn autonomy
Increase agent freedom only when detection, rollback, budget, and escalation improve with it.
Autonomy is earned by verification and reversibility, not granted by confidence.
See the failure before the pattern
Our operating model, in autonomy levels
A working model for rating agent capability and orchestration separately, then earning autonomy with evidence and reversibility.
Loops, levels, and building a platform that drives itself
The stopping conditions, verification, budgets, and escalation paths that turn repeated agent action into a bounded loop.
I ran the robot factory by hand first
A manual rehearsal that turned messy field notes into structured work and exposed the workflow worth automating.
Copy the control, then adapt it
Builder and reviewer role prompts
Two compact prompts that keep completion and falsification in separate agent contexts.
Production promotion state machine
An observable eight-state checklist from scope through staging, approval, release, and learning.
What this pattern is grounded in
Proof items describe real findings or working controls. Sanitized and reconstructed examples say so explicitly. They are evidence for the lesson, not universal guarantees.