Build optimized Android Apps with Firebase AI Logic and Gemini Nano 4

From the creator

Building production-ready generative AI into Android apps requires more than connecting to an LLM—it demands enterprise-grade security and cost controls. In this session, discover how Firebase AI Logic empowers developers to deploy secure, budget-conscious AI experiences at scale. We will cover from security foundations and Firebase App Check, cost management, dynamic model routing to leveraging the multimodal capabilities. Resources: Firebase quickstart for Android → https://goo.gle/4dUMCsP Firebase AI Logic → https://goo.gle/4BBLHYC Speakers: Ankita Saxena, Arthur Thompson Chapters: 0:00 - Introduction and Firebase AI Logic overview 2:48 - Friendly meals app demo 5:44 - Security and prompt management 9:24 - AI monitoring and telemetry dashboard 10:26 - Hybrid inference with Gemini Nano 15:26 - Cost optimization and logic triggers 17:30 - Gemini live API and model capabilities 21:30 - Firebase agent skills and key takeaways Watch the intelligent apps sessions from Android Dev Summit 2026 → https://goo.gle/ADS26-Intelligent-Apps Watch all the sessions from Android Dev Summit 2026 → https://goo.gle/ADS26-All-Sessions Subscribe to Android Developers → https://goo.gle/AndroidDevs #AndroidDevSummit2026 Event: Android Dev Summit 2026 Products Mentioned: Firebase AI Logic, Gemini Nano 4, Firebase App Check, Privacy

Published 2026-10-29 · Watch on YouTube ↗
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