Anurag Beniwal (Member of Technical Staff at ElevenLabs) breaks down the real-world challenges of building voice agents—from latency, transcription accuracy, and turn-taking to the tradeoffs between cascaded systems and end-to-end speech models. The conversation explores why production systems rely on “constellations” of models, how to design for non-technical users (especially in customer support), and why voice unlocks richer context—but introduces far more complexity than chat. Ultimately, it’s a deep dive into making voice AI practical, reliable, and usable at scale.

A deep dive into the practical limitations of agent protocols like MCP and A2A for low-level tasks, and why the "Linux philosophy" of using a raw command-line interface provides a more lightweight, composable alternative for local development, paving the way for an Agent OS.

Jesse Vincent breaks down how modern “agentic” software development is shifting from writing code to managing intelligent systems. He shares how his Superpowers toolkit uses structured workflows, skills, and subagents to turn vague ideas into executable plans—emphasizing that clarity of intent matters more than coding itself. The conversation explores how AI agents can be guided using psychology, why separating roles (planner, implementer, reviewer) leads to better outcomes, and how iteration—not perfection—builds powerful workflows. Ultimately, the future of software isn’t code—it’s specs, judgment, and orchestrating agents to do the work.