evolve-status

Track evolution progress by loading an evolution_state.json file, which generates a concise status summary of iteration counts, goal alignment, phase completion, and convergence signals for decision-making.

Checking iteration status involves reading the current evolution_state.json to verify phase completion and goal alignment. This ensures the current cycle meets milestones before proceeding to the next evolution step.

Monitoring goal alignment and phase completion is automated by reading the evolution_state.json file, which prints a concise summary of convergence signals and iteration progress without manual inspection.

The evolution status tracker operates by loading evolution_state.json if it exists. If the file is not present, it cannot display the iteration progress, convergence status, or phase completion summary.

Verifying convergence signals is needed to ensure the current evolution cycle aligns with predefined goals and milestones. Reading the status summary provides visibility into whether the iteration is ready to advance.

An evolution cycle status summary includes iteration counts, goal alignment metrics, completed phases, and current convergence signals, providing full visibility into the experiment's overall progress.