Traditional static web interfaces—while reliable for decades—are increasingly inadequate for the dynamic, adaptive nature of AI-powered applications. In a previous post, Rethinking UX: Emerging Interfaces for the AI Age, we explored key principles that define modern AI interface design, including: In this case study, we’ll show how
Quality is always a priority in WebRTC communications, and becomes even more critical in media applications that demand high-fidelity audio and video recording. On April 23, 2025, we welcomed Michalis Daniilakis, Co-founder and CTO of Chord.fm, a browser-based podcasting platform that leverages WebRTC to deliver studio-quality production. Achieving
As AI continues to evolve beyond backend algorithms into user-facing applications, we’re witnessing a fundamental shift in how interfaces need to be designed. Traditional static web interfaces that have served us well for decades are increasingly insufficient for the dynamic, adaptive nature of AI-powered applications. Recently, I
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
