evaluator-optimizer

Automating iterative generation and revision cycles requires separating generator and evaluator prompts with a strict rubric. The system loops generation, evaluation, and revision until outputs meet a defined score threshold or reach a maximum round limit.

Setting up a quality assurance rubric involves defining explicit evaluation criteria that are cheap to verify. You provide an initial candidate output and this structured rubric, allowing the system to evaluate and apply actionable feedback to refine the result.

Iterative evaluation effectively improves code and document drafting quality by applying codified evaluative criteria. The system generates a draft, evaluates it against your rubric, and revises it until the output meets the specified quality bar.

The evaluator-optimizer workflow prevents infinite loops by enforcing strict guardrails. It automatically stops the generation and evaluation cycle when reaching a maximum round limit, a pass threshold, or a defined budget for revisions.

Reaching an explicit quality bar for high-stakes content generation is best achieved through structured feedback loops. By using a defined rubric to evaluate and revise outputs iteratively, the system ensures robust, repeatable quality control.

Separate prompts for generation and evaluation are required to effectively refine model outputs. This separation ensures the evaluator strictly applies the rubric to guide revisions without being influenced by the generation process.