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Voice AI & Voice Agents | An Illustrated Primer

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If you've spent much time in free-form dialog with ChatGPT or Claude, you have an intuitive sense that talking to an LLM feels quite natural and is broadly useful. LLMs are also good at turning unstructured information into structured data.[1] New voice AI agents leverage these two LLM capabilities – conversation, and extracting structure from unstructured data – to create a new kind of user experience. [1] Here we mean this broadly, rather than in the narrow sense of the "structured output" feature of some LLMs. Voice AI is being deployed today in a wide range of business contexts. For example: On the consumer side, conversational voice (and video) AI is also starting to make its way into social applications and games. And developers are sharing personal voice AI projects and experiments every day on GitHub and social media. This guide is a snapshot of the voice AI state of the art.[2] Building production-ready voice agents is complicated. Many elements are non-trivial to implement fr

Voice AI & Voice Agents | An Illustrated Primer Japanese 1. Conversational Voice AI in 2025 LLMs are good conversationalists. If you've spent much time in free-form dialog with ChatGPT or Claude, you have an intuitive sense that talking to an LLM feels quite natural and is broadly useful. LLMs are also good at turning unstructured information into structured data. [1] New voice AI agents leverage these two LLM capabilities – conversation, and extracting structure from unstructured data – to create a new kind of user experience. [1] Here we mean this broadly, rather than in the narrow sense of

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