Author removes LLM judge despite KPI improvements, citing reviewer vs. judge distinction

The author developed an LLM judge for their article-writing harness, which initially improved KPIs by reducing self-discovered errors. However, after 11 days, the author removed the judge, not due to inaccuracy, but because it functioned more as a reviewer than a true judge. The judge's verdicts did not alter the article's progression, and it failed to catch errors it was designed to check. Ultimately, the author concluded that the value came from the deepening questions prompted by the judge, not its pass/fail verdict. AI

IMPACT Highlights the distinction between AI reviewers and judges, suggesting current LLM evaluation tools may function more as assistants than definitive arbiters.

RANK_REASON Author's personal reflection and experience with an LLM tool.

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