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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走进洪水过后的主根岱村，受灾户的新居里，暖意融融、烟火气浓。政策有力度、帮扶有温度。百姓脸上的笑容，就是基层最动人的答卷。
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