Philipp Schmid of Google DeepMind introduces the Gemini Interactions API, a unified interface for models and agents with server-side state and long-running jobs. He then shows managed cloud sandboxes for Antigravity agents that persist, can be shared, and automatically pick up skills and AGENTS.md files, closing with a live AI talk radio demo built from a single prompt.
Philipp Schmid from Google DeepMind emphasizes the critical, often-overlooked need for rigorous evaluation of AI agent skills. He argues that shipping skills without testing is akin to deploying code without unit tests, leading to unreliable agent behavior. The talk covers what defines an agent skill, strategies for writing effective and correctly triggering skills, and a practical guide to building lightweight evaluation harnesses to catch failures proactively.
Patrick Löber from Google DeepMind provides a technical walkthrough of the Gemini API's "any-to-any" capabilities. The session covers multimodal understanding of complex documents, video, and audio; an agentic loop using function calling to trigger native image and speech generation; and the real-time, audio-to-audio Live API.