Trust But Verify
Build multi-layer validation, judge agents, hallucination detection, and human escalation systems.
"Trust but verify. Every agent output should be validated before it joins the synthesis."
Quality assurance in multi-agent systems requires multiple validation layers. Output validation checks completeness, accuracy, and coherence. Hallucination detection identifies fabricated information. Coherence checking ensures outputs from different agents don't contradict. Judge agents provide AI-powered review with structured evaluation criteria. Confidence scoring indicates when human review is needed. Human escalation brings experts in for high-stakes or low-confidence decisions. Without quality assurance, multi-agent systems amplify errors instead of solving problems.
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Multiple validation layers catch different error types
Judge agents can evaluate what they couldn't generate
Confidence scoring enables targeted human review
Coherence checking is essential for multi-agent outputs
Quality gates should be automatic, not optional
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