Brooke Hopkins

Current voice AI systems rely on cascaded models (STT → LLM → TTS) or end-to-end speech-to-speech models, each with trade-offs in latency, control, and expressiveness. What do you see as the biggest technical bottleneck in moving towards a truly real-time, low-latency, emotionally adaptive speech model? Is it model architecture, dataset limitations, compute constraints, or something else...

What a Day! Thank you so much for the thoughtful feedback, comments and ideas we've received throughout the day! It's been amazing to see how excited everyone is about Coval and the future of conversational AI. In case you missed it – We're offering a 2-week free trial as part of the Product Hunt Launch! So make sure to check out our product today and get onboarded asap – and we help you...

Hi Product Hunt Community 🐱👋 I’m Brooke, Founder of Coval! Today, we’re excited to launch Coval, a platform that transforms how you test, debug, and monitor voice and chat agents. Simulate thousands of scenarios from a few test cases. You create the prompts, we simulate environments to test your agents from all directions. 👉 Why did I build Coval? Before founding Coval, I led the...