Voice is Underutilized

Speech is a useful medium for communicating with AI, both as an input/output channel and as back-and-forth. Over 2026 I’ve been increasing the amount of speech I/O and have collected a fair number of use cases. Input Voice is, of course, great for rambling at coding agents. Oftentimes the transactional “just talking with the agent” convo stuff is easier to ramble out than it is to type. I also occasionally have wrist sensitivity issues that make it difficult to type – now with STT and computer-use, that’s not a hassle. (Knock on wood about RSI 😬) Voice is also good for capturing context. Every phone has a voice recorder on it; most meeting software now has transcription support. There’s a lot of ambient context that just exists in conversations that, if you can (consentingly) capture it, has a ton of downstream value. For example: my team has been transcribing design syncs consistently. A few solo agent sessions interspersed between transcribed design syncs allow engineers to iterate…

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