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PRD-driven persistence loop automation generates structured JSON PRDs, executes user stories, and iteratively verifies them. It tracks progress across iterations until all test-driven verification checks pass, ensuring safe termination via a controlled completion signal.

A PRD-driven persistence loop is an AI workflow mechanism that automatically manages user-story verification. It enforces a JSON PRD structure and continuously iterates story execution, updating status and dependencies until all test-driven progress checks successfully pass.

To start automated story management, invoke the persistence loop with your task description. This initializes the PRD generation process, creating the structured JSON needed to begin prioritizing, executing, and tracking user stories across multiple iterations.

The PRD-driven persistence loop requires no external dependencies or specific components. It operates independently to enforce the JSON PRD structure and iteration loop, making it suitable for product development workflows requiring iterative test-driven verification.

When all user stories pass verification, the AI workflow ensures safe termination by writing a final cancel signal and final state. This controlled completion mechanism prevents infinite loops and confirms the PRD-driven iteration process has successfully finished.

The automated PRD generation loop is limited to product development workflows requiring iterative PRD creation and test-driven verification. It strictly enforces a JSON PRD structure and cannot deviate from its controlled completion signal flow process.