diamond-progress

Automating theory gate validation involves running all required gates for a phase transition, recording Pass/Fail/Insufficient Evidence statuses, and documenting gaps. The process ensures consistent validation before advancing to the next phase.

Evidence validation and confidence scoring are tracked by calculating confidence metrics, performing bias and corrections checks, and logging decisions. This structured governance ensures reliable evidence assessment throughout the phase progression lifecycle.

Human approval before phase transitions is handled by checking confidence scores and triggering an approval workflow when needed. The system performs bias and corrections checks before updating the state and logging the final decision.

Parallel exploration during phase progression is supported by spawning child diamonds. This allows simultaneous exploration of alternative paths after running theory gates, calculating confidence, and completing the required decision logging.

To initiate a diamond progression workflow, you need to provide the current phase, the next target phase, and the scale context. These inputs allow the system to identify the transition and run the required validation gates.