Evaluator-Optimizer: loop a separate grader against a rubric until the draft earns a pass, not just the first shot
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A single-shot prompt gives you one draft and no idea whether it's any good. You find out in production. The Evaluator-Optimizer pattern closes that loop, and I built an interactive demo to make the difference visible: an optimizer drafts, a separate evaluator scores the draft against an explicit rubric and hands back concrete feedback, the optimizer revises, and the cycle repeats until the score clears a bar or hits a round cap. It is not the same as self-refine — and that distinction is the…
1Key Takeaways
- A single-shot prompt gives you one draft and no idea whether it's any good.
- It is not the same as self-refine — and that distinction is the….
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that a single-shot prompt gives you one draft and no idea whether it's any good.
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