There’s a lot of talk about AI Agents, but most of it is about LLMs writing code. We decided to test the ‘Front Desk’ use case in a real-world environment (medical/service sector). The biggest lesson? Latency is the only thing that matters for trust. If the delay is over 2 seconds, the patient hangs up or gets annoyed. We managed to push our stack to 800ms-1200ms (Solwees.ai), and the results were fascinating: 1. The ‘Is this a robot?’ test: If the response is instant and context-aware, people don’t care if it’s AI. They just want their appointment booked. 2. Hallucinations are lethal: In B2B, a ‘creative’ AI is a fired AI. We had to move business logic to a deterministic layer to ensure 100% accuracy. 3. Capture rate: The AI doesn’t get tired at 4:50 PM on a Friday. We saw a 20% increase in after-hours bookings. Is anyone else working on the hardware or infra side of low-latency voice? I feel like we’re moving away from ‘chatbots’ toward true invisible infrastructure. Would love to hear your thoughts on where the ‘Uncanny Valley’ of voice AI currently sits. submitted by /u/No-Zone-5060
Originally posted by u/No-Zone-5060 on r/ArtificialInteligence