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

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