Case study
Android Notification Summaries
On-device AI summarization of messaging threads using Gemini Nano.
Gemini Nano summarizes active message threads inside the Android notification shade. Processing stays on the device, so people can catch up without sending private conversation data to the cloud.
Busy threads needed a better way to catch up
Group chats can produce more notifications than a person can reasonably scan. Muting the thread removes the interruption but also removes the context. We needed to compress the conversation without hiding the source or taking control away from the user.
Private messages stay on the device
On-device processing // Private Compute Core
Privacy was the hard constraint. Gemini Nano processes the summary inside Android's Private Compute Core, so the message content does not leave the phone. That boundary made an OS-level summary possible without turning personal conversations into cloud input.
The summary never replaces the conversation
Notification summary // Source preserved
The feature adds a condensed overview to the notification shade and marks it with a small sparkle. The original messages remain one tap away. A person can use the summary to decide whether the thread needs attention, then open the source when detail matters.
The design had to survive model and device limits
I worked directly with the Gemini Nano training team to align the interface with the model's on-device capabilities. With Engineering, I mapped failure behavior under device constraints, including unsupported languages and low-battery states. The summary stays out of the way when the system cannot produce a reliable result.