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Multi-Agent Debate and Critique Patterns (EXPLAINED)

Scenario BasedAI AgentsHard25 min read

Hard AI Agents interview question on multi-agent debate and critique patterns — architecture, trade-offs, eval, and production patterns.

TL;DR — Quick Answer

Multiple agents propose and critique answers to reduce single-model blind spots. Use a moderator, cap debate rounds, and verify debate improves accuracy enough to justify 3–5× token cost.

The Interview Question

Explain multi-agent debate and critique patterns. How would you apply this when building production AI agents? Cover architecture, safety, and evaluation.

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