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Speech-to-text errors cascade through cascading voice agents, making downstream LLMs confidently answer wrong questions. AssemblyAI's Universal-3.5 Pro Realtime injects agent context and domain vocabulary at the STT layer to prevent transcription mistakes. The model supports punctuation-based turn detection, sub-300ms latency, and native code-switching across 18 languages.
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