LLM-as-Judge Prompt Architecture for Multi-Step Agents
Judge prompts built for single outputs fail to catch errors buried in agent traces.
Simone Adeyemi-Park
Contributing Writer
Simone came to AI evaluation journalism after four years as a machine learning engineer shipping production recommendation systems, where she grew obsessed with the gap between offline metrics and real-world outcomes. She writes about prompt-based judge construction and the failure modes that emerge when LLMs grade their own model family.
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Judge prompts built for single outputs fail to catch errors buried in agent traces.