Totally agree — once a voice agent goes live, it’s hard to see what’s really going on. You only find out things broke after users do. Convolytic sounds like exa

Totally agree — once a voice agent goes live, it’s hard to see what’s really going on. You only find out things broke after users do. Convolytic sounds like exactly what’s missing — proper visibility and A/B testing for conversational systems. I’d track conversion vs. drop-off reasons, latency vs. engagement, and tone vs. outcome to really understand what drives success. We’ve seen similar challenges while working with Coldi AI (https://coldi.ai/ https://coldi.ai/), which builds voice agents for outreach and customer calls — having analytics like this would make tuning and scaling them so much easier.