What device do we use almost all the time? Our mobile phone, almost certainly. If we wanted to develop mobile apps, we would have wondered how to integrate Artificial Intelligence (AI) into our projects in some way, given its increasing boom.
Some advances have been made with Gemini Nano and Gemma 4 as on-device AI. However, Gemma 4 is a recent release that doesn’t yet have enough maturity in most of cases, due to hardware limitations and model’s own capabilities. These are cases where using models like Gemini shines, which offer higher quality responses, can generate multimodal content and can extend their functions through third-party integrations.
I want to address this topic in two different posts: this first one will explain how you can configure Firebase AI Logic with an Android app; and I will later publish another post with two demos that I showcased at Build With AI 2026, hosted by the GDG Cali chapter.
What is Firebase AI Logic?
Firebase presents Firebase AI Logic as a service focused on offering Gemini API calls to client-side applications, including Android, iOs, web and even experiences developed with Unity.
