Tackling the hardest questions in agent development with Philipp | The Agent Factory Podcast

Ready to listen about how to use Gemini for building applications like Deepmind Deep Research agent? In this special episode, we're joined by Philipp Schmid from Google DeepMind, a leading voice in the AI community, to answer some of the toughest, most practical questions developers face today. We skip the agent industry pulse and dedicate the entire episode to a deep-dive masterclass on agent architecture, development, and evaluation. In this episode you will learn: 1️⃣ Model & framework selection: A pro's take on choosing between Gemini and open models like Gemma, plus a breakdown of when to use frameworks like LangGraph, CrewAI, or the ADK. 2️⃣ The agent development lifecycle: A behind the scenes look at how the "Deep Research Agent" was built, from initial concept and prompt engineering to multi-agent patterns. 3️⃣ Gemini CLI pro tips: Discover how to leverage the Gemini CLI for advanced agentic workflows and see a demo of its powerful capabilities. 4️⃣ Model agnostic prompts: Philipp answers a tough community question about whether it's possible to write prompts that work across different model families (like Gemini, GPT, and Claude) without a major loss in performance. 🚀 ANNOUNCEMENT: Accelerate AI with Cloud Run Take your agents from prototype to production! Join our new event series to learn how to deploy scalable, secure, and production-ready agents. Register for the North America series now, with more global locations coming soon! Register Here → http://goo.gle/3JAflqs Join the conversation on social media with the hashtag #TheAgentFactory. About The Agent Factory: "The Agent Factory" is a video-first technical podcast for developers, by developers, focused on building production-ready AI agents. We'll explore how to design, build, deploy, and manage agents that bring real value using the latest open-source tools and frameworks. Going beyond basic AI/ML concepts, the podcast will delve into the practical aspects of agentic AI, covering everythin