ralph

Multi-agent workflow verification is automated through a self-referential loop that executes implementation, validates results with fresh checks, and requires planner approval before finalizing. This enforces evidence-based completion across software development, documentation, and deployment workflows.

A self-referential loop for iterative task completion repeatedly executes phases, validates results, and requires planner approval before emitting a final promise. It tracks per-iteration provenance across TASKS, VERIFICATION, PROCESS, and ITERATION documentation to guarantee completion.

Multi-phase orchestration is set up by providing the original task as a prompt and running the loop until completion. The loop automatically enforces Phase 1 implementation, Phase 2 pre-deploy validation, Phase 3 planner verification, and Phase 4 final promise output.

Multi-agent iterative validation does not reuse results from prior iterations. It performs evidence-based verification with fresh checks on every iteration, requiring explicit planner approval before declaring completion to ensure rigorous quality control.

Planner-driven completion is needed for multi-phase, multi-agent projects requiring evidence-based verification before declaring completion. It applies to software development, documentation, and deployment workflows where rigorous quality control across implementation and validation phases is mandatory.