Your AI Agent Doesn't Need A Better Prompt. It Needs A Judge.

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• Frames the core production agent problem: chat demos exist in “suggestion space” (rejection is free), but agents with real tool access — send emails, update records, spend money — need architectural guardrails, not better prompts.
• Root cause of standard controls failing: a single model cannot simultaneously pursue a task and police itself; approval modals either cause habituation (ignored) or abandonment.
• Architectural solution: a separate “judge” layer — a distinct component evaluating whether proposed actions should execute, placed at action boundaries and built in from the start, not retrofitted.
• Judge toolkit: action classification, proposal generation, specialist judges for high-risk boundaries, evaluation mechanisms, and durable memory governance persisting context across sessions.
• Implementation path: start with highest-risk action boundaries using structured prompts + provenance tracking, so the judge can reference prior decisions over time.