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Voice AI.

HomecategoryVoice AIPage 5
How to Automate Voice AI Agent Testing & Evaluation with Coval
July 1, 2025
Hector ZelayaComments Off on How to Automate Voice AI Agent Testing & Evaluation with Coval

How to Automate Voice AI Agent Testing & Evaluation with Coval

Ensuring optimal Voice AI agent performance is a critical challenge for businesses deploying conversational AI. Poor voice bot interactions can lead to customer frustration, increased support costs, and lost revenue opportunities. From refining bot behavior to perfecting speech recognition and ensuring relevant responses, the journey to continuous

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Technical and UX Approaches for Integrating Voice AI into WebRTC Apps
June 18, 2025
Jen OppenheimerComments Off on Watch WebRTC Live #103: Technical and UX Approaches for Integrating Voice AI into WebRTC Apps

Watch WebRTC Live #103: Technical and UX Approaches for Integrating Voice AI into WebRTC Apps

Adding Voice AI to WebRTC applications presents unique technical challenges and user experience considerations. How do you architect systems that handle real-time audio processing, maintain conversational context, and deliver natural, responsive interactions? And how do you design interfaces that adapt to the dynamic nature of AI-powered communication?

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May 23, 2025
Jen OppenheimerComments Off on Twilio’s ConversationRelay GA Release Brings Voice AI to the Enterprise Mainstream

Twilio’s ConversationRelay GA Release Brings Voice AI to the Enterprise Mainstream

Twilio has announced that ConversationRelay, its tool for integrating Voice AI into applications, is now generally available. Originally introduced in beta at SIGNAL London in late 2024, ConversationRelay is designed to make it dramatically easier for organizations to integrate natural, human-like voice capabilities into their GenAI stacks—without

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April 2, 2025
Alberto GonzalezComments Off on Optimizing Prompts for Real-Time Voice AI

Optimizing Prompts for Real-Time Voice AI

During a recent onsite gathering of our team at the WebRTC.ventures Panama QA office, we did a deep dive into Prompt Engineering with John Berryman, an early engineer at GitHub Copilot and author of Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based

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