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│ EXPECTED IMPACT: Catch 10-15% more bugs before merge. │

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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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“In the future, you think of the app economy moving over to an agent economy, where there’s one agent I’m interacting with, and I can ask that agent to book me a movie ticket or a plane ticket, to order food for me, get an Uber for me. It knows everything about me.”,详情可参考服务器推荐

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