# Building Smart Android Apps with Cloud and Hybrid AI How to integrate advanced features using Firebase AI - **Source:** [Android Developers Blog](https://brifing.si/source/ff016576-5a92-405e-aa5a-2a07e0fb093f) - **Published:** 2026-07-21 - **Topic:** [Software & Engineering](https://brifing.si/c/engineering) - **Original article:** - **On Brifing:** https://brifing.si/s/5952fcc1-ea12-4104-96a1-54a9926e8fb7 ## What is Cloud and Hybrid AI? When developing AI features for Android apps, sometimes more powerful cloud models are needed. Hybrid solutions offer the flexibility to run both on-device and in the cloud. This approach reduces costs while ensuring compatibility across all devices. ## Museum Assistant Example The museum assistant in Jetpacker app helps users access current exhibition information. Using Firebase AI's grounding feature, the model is fed with real-world data. URL, Google Search and Maps integrations provide visitors with instant information. ## Dynamic Context Grounding Grounding techniques enable AI models to work with current information. For example, a museum's current ticket prices are pulled from its website and fed to the model. Firebase AI SDK automatically adds this data to prompts for accurate responses. ## Hybrid Inference Modes The restaurant review feature demonstrates hybrid inference power. It prioritizes on-device Gemini Nano, falling back to cloud for unsupported devices. Firebase's Hybrid Inference API offers four routing modes: device-preferential, cloud-preferential, and strict options. ## Enhancing User Experience Generated restaurant reviews directly open the relevant Google Maps page. This integration automates copy-paste actions, significantly improving UX. Reviews auto-copied to clipboard can be shared on Maps with one tap. ## Custom Routing Systems The hotel support chat uses a custom translation routing system. Different AI models activate based on user language preferences. This system optimizes both performance and accuracy in real-time translations while reducing costs. ## Firebase AI Logic SDK Firebase's AI solutions provide powerful tools for Android developers. GenerativeBackend.googleAI() configures cloud models, while OnDeviceConfig sets up on-device models. System instructions and tool lists can be dynamically customized. ## Performance-Cost Balance Hybrid inference improves app performance while reducing operational costs. On-device models decrease latency, cloud models handle complex queries. This balance is crucial for optimizing user experience. ## Future of Smart Apps Cloud and hybrid AI features are shaping Android apps' future. These technologies offering personalized, contextual and interactive experiences are setting new standards. Firebase integrations make this transition easier for developers. ## Sources covering this story - http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-cloud-hybrid-inference.html — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._