Patrick

Any-to-Any: Building Native Multimodal Agents - Patrick Löber, Google DeepMind

May 20, 2026 · 16:21

Patrick Löber, a member of the technical staff at Google DeepMind, explains how to build native multimodal agents using the Gemini API ecosystem, covering multimodal understanding, native image and speech generation, and real-time interaction via the Live API. He demonstrates constructing a NotebookLM clone as an agentic system where a reasoning Gemini model decides whether to generate an infographic or podcast-style audio using function calls to specialized models like Nano Banana for images and a text-to-speech model for speech. The episode details practical implementation: uploading PDFs, video, and audio files; using context caching to reduce costs by 90%; and generating infographics or multi-speaker audio directly from prompts. Löber highlights that native generation models understand world context—like drawing arrows on a map to produce the Golden Gate Bridge—and that the Live API enables audio-to-audio interactions with a single architecture, supporting multiple languages and accents.

Identity for AI Agents - Patrick Riley & Carlos Galan, Auth0

Jan 14, 2026 · 1:22:12

Patrick Riley and Carlos Galan from Auth0 (Okta) present new identity and access management features for AI agents, including Async Auth, Token Vault, and MCP integration. Token Vault securely stores and refreshes upstream resource tokens, enabling agents to access APIs on behalf of users. Async Auth allows agents to request user approval for risky operations, such as placing an order, via out-of-band notifications like push to the Guardian app. They demonstrate a Next.js chatbot that uses Token Vault to read a user's stock portfolio and Async Auth to require explicit consent before executing trades. The MCP server is secured with OAuth 2.0, supporting Dynamic Client Registration (DCR) and fine-grained scopes. The solution bridges user identity, agent identity, and upstream API authorization, ensuring agents can act autonomously but with user-defined boundaries.

Patrick Dougherty: How to Build AI Agents that Actually Work

Feb 22, 2025 · 17:44

Patrick Dougherty, co-founder and CTO of Rosco (acquired by Klarity in 2024), argues that building effective AI agents requires prioritizing reasoning over inherent model knowledge, iterating on the Agent-Computer Interface (ACI) rather than fine-tuning or relying on frameworks. He defines an agent as a system that takes directions, calls tools, and autonomously reasons—not a prompt chain. His team abandoned RAG-style knowledge injection for discrete tool calls (e.g., SEARCH TABLES, GET TABLE DETAIL), finding that GPT-4o often hallucinates impossible SQL queries while o1 correctly identifies missing data. Switching tool-response formats—Markdown to JSON for GPT-4o, JSON to XML for Claude—dramatically improved accuracy. For production, he warns against over-dependence on abstractions like LangGraph due to security needs (e.g., OAuth credential cascading). In multi-agent systems, a manager agent should delegate to 5–8 specialized worker agents, incentivized by the overall goal, to avoid loops. The true moat, he concludes, is the ecosystem—UX, connections, and security—not system prompts.

AI Music Generation, From Prompt to Production: Phlo Young

Feb 11, 2025 · 54:34

Phlo Young, an AI engineer and musician, demystifies AI music generation by distinguishing text-to-music, audio-to-music, and style transfer, and demonstrates hands-on use of Suno and Udio to turn prompts into songs. He showcases examples like a Kanye West voice conversion, a Randy Travis AI comeback, and a BBL Drizzy meme song generated entirely from text. Phlo explains prompt engineering techniques, provides live access to paid accounts for attendees to generate unlimited music, and covers tools like Wave Tool for extracting stems. He also touches on ethical considerations and the RIAA lawsuits against Suno and Udio. The workshop equips beginners with practical skills to create and refine AI-generated music.