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1 contribution to The AI Advantage
Why Most AI Voice Systems Still Feel Slow in Real Conversations
Everyone is jumping into AI voice right now. But most systems still struggle in real conversations. The biggest issue I keep seeing is latency. A lot of tools rely on speech to text, then text to speech. That delay adds up and makes conversations feel unnatural, especially in sales or support use cases. Lately I have been testing a different approach using voice to voice architecture instead. The difference is noticeable: - Responses feel almost instant - Conversations flow more naturally with interruptions - Lower cost compared to multi step pipelines - Handles higher call volume more reliably It actually starts to feel less like a bot and more like a real interaction. Curious to hear from others here: Have you tested AI voice agents in real use cases?What has been the biggest bottleneck for you so far, latency, cost, or reliability? Would be interesting to compare notes.
0 likes โ€ข Apr 1
@G M Depends on the use case tbh For quick things or when clarity matters, I prefer writing.For sales, support, or anything that needs a human touch, voice works really well.
1 like โ€ข Apr 2
@G M Not one specific AI tbh. We usually work with a mix depending on the use case, mainly Claude, Gemini, and GPT.
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Zaid Khan
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7points to level up
@zaid-khan-5919
Passionate about learning, sharing ideas, and building meaningful connections. Always exploring new skills and ways to make an impact.

Active 7d ago
Joined Mar 30, 2026
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