Ivan Leo works on Developer Experience at Google DeepMind. He joins Shane Thomas and Abhi Aiyer to demo what he has been building on Gemini and to answer the question Google keeps getting asked: is Gemini actually a coding model?

Every demo in this episode runs on Gemini 3.5 Flash.

Gemini Managed Agents was the first product Ivan took from first commit to launch. One API call opens the same Antigravity harness Google runs internally and provisions a persistent Linux sandbox. On stream, it builds a NotebookLM-style podcast generator from a one-line prompt, with native text-to-speech.

You'll also see a one-shot Windows XP clone, with an animated Clippy and a working Tamagotchi, as well as demos of Gemini Omni, the conversational video model Ivan's team describes as Nano Banana for video. You'll also hear which everyday errand finally made Ivan feel the AGI.

Google's internal token consumption has been doubling every few weeks.

Ivan was previously a core contributor to Instructor and built knowledge agents at Manus before its acquisition by Meta.

📎 READ MORE Ivan Leo:
https://ivanleo.com
Ivan on X: https://x.com/ivanleomk
Gemini Managed Agents: https://blog.google/innovation-and-ai/technology/developers-tools/managed-agents-gemini-api/
Gemini Omni Flash: https://ai.google.dev/gemini-api/docs/models/gemini-omni-flash
fofr on X: https://x.com/fofrAI

📚 MASTRA RESOURCES
Website: https://mastra.ai
X: https://x.com/mastra_ai Discord: https://mastra.ai/community/discord
GitHub: https://github.com/mastra-ai
Learn Mastra: https://mastra.ai/learn
Principles of Building AI Agents: https://mastra.ai/books/principles-of-building-ai-agents
Patterns of Building AI Agents: https://mastra.ai/books/patterns-of-building-ai-agents

WHAT IS MASTRA
Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development — from prototype to production.

⏱️ CHAPTERS
00:00 Cold open
00:19 Welcome, Ivan Leo
00:48 Instructor, Manus, and the road to DeepMind
02:54 What actually shipped at I/O
03:32 Launching Gemini Managed Agents
04:03 3.2 quadrillion tokens a month
04:44 Answering the "DeepMind is cooked" post
05:57 Why Google Search came back
06:45 Antigravity: CLI, app, and IDE
07:31 Gemini Omni, or Nano Banana for video
09:38 Demo: one-shot apps on Gemini 3.5 Flash
10:51 The errand that felt like AGI
11:08 Demo: Managed Agents building a NotebookLM clone
13:13 Is Gemini a coding model?
14:54 Learning the temperament of a new model
15:47 Prediction: agents in everyday life
17:01 Where to find Ivan