Adil Sabir Azeez

Adil Sabir Azeez

This project is a real-time voice agent that lets users dial a standard phone number to interact with a custom AI persona. Built for developers looking to integrate telephony with streaming LLM pipelines, it serves as a working boilerplate for handling bi-directional audio streams and system prompts. It's a quick way to see how standard voice APIs stack up against modern conversational AI without needing heavy infrastructure.

“I expected setting up telephony WebSockets and call state management to require heavy boilerplate. Surprisingly, Vonage’s Flue framework abstracted away all that complexity out of the box, letting me spin up a fully functional AI voice agent in just a few lines of code.”