refine

To iteratively edit a draft until it passes quality checks, you need a review-driven refinement loop that dispatches LLM reviews, applies ranked feedback, and stops only when a target verdict or score is met.

Yes, you can gate draft refinement by providing an optional Definition of Done checklist, which evaluates each criterion independently and stops the edit cycles only when all DoD items pass consensus.

LLM review for automated draft refinement works by dispatching a subagent to evaluate the content, ranking the feedback, and applying changes in repeatable cycles until the output reaches the defined quality target.

Yes, safe revert logic uses baseline hashing and git-aware rollback safeguards to restore content, preventing the overwriting of unrelated user changes during the iterative editing process.

The best way to fix an initial output that fails review is running repeatable review-and-edit cycles that apply ranked feedback until the content meets your defined success criteria without losing original intent.