Most teams resort to manual spot-checking (doesn't scale), waiting for users to complain (too late), or brittle scripted tests.Our answer is simulation: synthetic users interact with your agent the way real users do, and LLM-based judges evaluate whether it responded correctly - across the full conversational arc, not just single turns.
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