Building agents with real-world reasoning

Опубликовано 21 мая 2026, 17:15

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

Speakers: Caio Moreira, Ken Nevarez

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

Subscribe to Google for Developers → goo.gle/developers


#GoogleIO


Event: Google I/O 2026

Products Mentioned: AI/Machine Learning, Location/Maps, Web