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Risks of using an LLM to grade your agent

AI Agents & Automation · Agent Evaluation · medium · Company-context scenario · 15 min

Your team uses a strong LLM to automatically grade your agent's outputs ('LLM-as-judge') at scale.

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The prompt, fixtures, grading criteria and model write-up stay on the server until your plan unlocks them.

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Company-context scenario built from real product constraints. It is not represented as a verbatim interview question.

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