Genuine question. I was tempted to go deeper into voice AI, not just because of the hype, but because people keep saying it's the next big evolution after chat. But at the same time, I keep hearing mixed opinions. Someone told me this that kind of stuck:
Voice AI tools are not really competing on models. They're competing on how well they handle everything around the model. One feels smooth in demos, the other actually works in messy real-world conversations.
For context, I’ve mostly worked with text-based LLMs for a long time, and now building voice agents more seriously. I can see the potential, but also a lot of rough edges. Latency feels unpredictable, interruptions don’t always work well, and once something breaks, it’s hard to understand.
I’ve even built an open source voice agent platform for building voice ai workflows, and honestly, there’s still a big gap between what looks good and what actually works reliably. My biggest concern is whether this is actually useful.
For those of you who are building or have already built voice AI agents, how has your experience been in terms of latency, interruptions, and reliability over longer conversations, and does it actually hold up outside demos?
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