Prompt engineering gets you a demo. Context engineering gets you a production Voice AI agent. Think of LLMs as the world’s most brilliant librarians: they’ve read almost everything ever written, but without your help, they have the short-term memory of a goldfish. For text-based chatbots, a forgetful
Bring Voice AI to your calls, meetings, and telehealth visits with low-latency, WebRTC-based real-time conversations. WebRTC.ventures helps product teams design, implement, and scale voice agents that feel natural, meet compliance needs, and work in production. Let’s Discuss Your Voice AI Integration Why choose WebRTC.ventures Voice AI Implementation
Early Voice AI deployments were built on a straightforward pattern: Speech To Text, LLM, Text To Speech. That pipeline was enough to produce compelling prototypes for customer support, sales automation, and meeting summaries. The pattern holds well until it meets a regulated environment. Telecom platforms, telehealth systems,
Over the last few years, Voice AI agents have moved quickly from experimentation into production. Early adoption centered on customer support, basic IVR modernization, sales automation, meeting summaries, and general-purpose voice assistants. These early use cases were low-stakes enough to tolerate imperfection. That is changing. Real-time Voice
