Building agents with real-world reasoning @GoogleDevelopers
Building agents with real-world reasoning  @GoogleDevelopers
Uploaded May 2026 | Updated September 2026, 1 week ago
Production agents for travel, logistics, and consumer apps demand rigorous real-world reasoning. Learn how to build grounded, production-ready agents using Gemini 3, Maps Grounding Lite, and Google Maps Platform. Explore how to connect LLMs to physical-world logic and understand real-world use cases to turn agentic concepts into scalable production solutions.

Resources:
Google Maps Platform Overview → https://goo.gle/4dMxrCb
Google Maps Samples on GitHub → https://goo.gle/4eM6f7L
Maps Grounding Lite → https://goo.gle/3Rp3LCr
Google GenAI Python SDK (GitHub) → https://goo.gle/3PFu3jr
Geocoding API Documentation → https://goo.gle/4uxVjzL
Maps JavaScript API - Map3D Documentation → https://goo.gle/497aZRD
Vis.gl React Google Maps Library → https://goo.gle/4nQMVc5

Speakers: Caio Moreira, Ken Nevarez

Watch the AI sessions from Google I/O 2026 → https://goo.gle/AI-at-IO26

Subscribe to Google for Developers → https://goo.gle/developers


#GoogleIO


Event: Google I/O 2026

Products Mentioned: AI/Machine Learning, Location/Maps, Web
Building agents with real-world reasoningDeveloper Keynote (Google I/O 26) - Audio DescribedFind the commit in the fewest commands!In production, which file actually gets loaded?Expose your sites actions to AI agents using WebMCPWhich Typescript user will result in an error?How to create a full-stack app with Google AI StudioTrying to log off on Friday before you get another assignmentWhen did you know you wanted to be a dev?Google AI Studios new full-stack vibe coding experiencePOV: A new feature enters the chat. 🕺✨Whats the purpose of this last line of code? Go!
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Building agents with real-world reasoning

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