The “no-code” revolution has made AI voicebots significantly more accessible. Non-technical teams can now launch voicebots quickly with platforms like Vapi or Bland AI and start automating customer interactions without a dedicated engineering team. In practice, running a good voicebot requires serious operational strategy. Long-term success depends
WebRTC.ventures CTO Alberto González recently joined the Software Defined Talk podcast to share insights on building voice, video, and streaming applications for enterprise use. In the conversation, he explains how WebRTC powers the real-time experiences behind many of today’s most important communication products, and why companies across
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,
Improving quality in WebRTC applications is an ongoing task, it doesn’t stop when you deploy your application. To support maintenance, debugging, and continuous improvement, observability needs to be baked in from the beginning. On March 25, 2026, our guest was Balázs Kreith, a Senior Software Engineer at Riverside.fm,
