Benchmarking AI Moderators Through Protocol Design in Tencent RTC Voice Rooms

A tutorial on DEV Community argues that AI moderation bots should be evaluated as a protocol with separate responsibilities rather than as a single intelligent agent. It separates live audio delivery, room and seat state, speech recognition, model recommendations, human approval, and server-side action execution. The author proposes that an AI moderator may recommend actions, such as muting an occupied seat, but cannot approve them, and that it must hold an unmuted occupied mic seat to speak. The tutorial builds an application-owned control layer and a repeatable moderation benchmark in TypeScript with Vitest, tied to Tencent RTC's Voice Chat Room concepts. It emphasizes distinguishing moderation authority from audio capability, and avoids inventing SDK methods by using a testable domain layer that adapters can connect to documented stores.