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# Your Voice Agent Doesn't Need a Frontier Model - Joel Allou & Ornella Bahidika, Microsoft

**[AI Engineer](https://daily.dev/sources/aidotengineer)** · 5 min read · 0 upvotes · 0 comments

## Summary

Building real-time voice AI agents requires sub-second response times, making large frontier models impractical. The Ace voice tutor team at Microsoft offloads all reasoning, lesson logic, and state tracking to a state machine and scaffolding code, leaving the language model responsible only for generating speech. This approach uses a smaller, faster model (Claude Haiku 4.5) to achieve ~900ms response times versus several seconds with a frontier model like Claude Opus 4.7. The tradeoff is upfront engineering cost to build the scaffolding, but that cost is paid once in code rather than on every inference call. The core principle: pick the fastest model your latency budget allows, then invest the rest of your effort in scaffolding.

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---

Tags: [#general-programming](https://daily.dev/tags/general-programming), [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#voice-ai](https://daily.dev/tags/voice-ai)

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