Building agents with real-world reasoning

From the creator

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

Published 2026-05-21 · Watch on YouTube ↗
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