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
Testing an AI voice agent is nothing like testing a standard application. You’re validating a live, real-time pipeline where WebRTC audio streaming, speech-to-text, LLM reasoning, and text-to-speech synthesis work together within milliseconds, every time a user speaks. Traditional QA processes and frameworks weren’t built for this. They
Recently, I read an article on LinkedIn that captured something many experienced developers have been feeling: software development is changing rapidly in the age of generative AI, but not always in ways we fully understand. One quote especially resonated with me: “An MIT professor called AI ‘a
When a telehealth platform starts to grow, its video infrastructure either grows with it or becomes the thing that holds it back. That’s exactly the crossroads Sessions Health reached. Their HIPAA-compliant practice management platform for mental health professionals had outgrown its self-hosted Jitsi setup, hitting reliability issues
