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Mobile AI · AI · Case 02

Chat Bubbles

Ask AI anywhere on your phone without switching apps.

Android AI product

01 / Overview

AI product

A mobile AI application

Chat Bubbles is an Android AI assistant with a floating chat bubble on the screen.

People can ask questions and receive answers while using other applications, without moving back and forth between multiple screens.

02 / Challenge

How can people talk to AI from anywhere without interrupting the task they are already performing?

The application must keep its floating window stable, respond quickly, and preserve the conversation even as the user switches between multiple applications.

03 / Goals

  • Access AI quickly from any application
  • Reduce switching between applications
  • Keep the floating interface compact and easy to use

04 / Technical challenges

01

Keep the Android Overlay stable

02

Preserve conversations while switching between applications

03

Respond quickly while conserving device resources

05 / Research

We studied how people use AI applications on their phones and found that repeatedly opening and closing an application breaks concentration.

The floating chat bubble was therefore selected as the primary access point, keeping AI available without disrupting the wider phone experience.

06 / Architecture

The application architecture consists of three main parts:

  • A floating bubble that manages Overlay permissions
  • A conversation screen that manages history and state
  • An AI service that processes requests and language-model responses

The reference architecture includes:

  • Android Client: Interface · Overlay · Voice
  • AI Service: Conversation management · Streaming · GPT
  • Data: Conversation history · User settings
  • Operations: Secure connections · Permission management · Error and performance monitoring

Each layer is separated so the application remains maintainable and ready to expand.

Operational priorities:

  • Secure connections
  • Controlled permissions
  • Error and performance monitoring

07 / Design

The design focuses on reducing taps and keeping AI ready whenever it is needed.

The primary screens are:

  • Conversation list
  • Chat screen
  • Floating bubble

Each interaction is kept compact so the assistant supports the current task instead of replacing it.

Interface gallery

Explore the primary Chat Bubbles interface states on Android. Select an image to view it at high resolution.

4 images

04 screens
01Chat Bubbles realtime chat interface states
02Chat Bubbles conversation list screens
03Chat Bubbles navigation and floating conversation interface
04Chat Bubbles new conversation flow

08 / Development

The application is developed as a native Android experience connected to an AI model. Its primary capabilities include:

  • Floating bubble
  • Realtime conversations
  • Conversation-history synchronization
  • Voice input
  • Multiple conversations

Native Android behavior and Material Design patterns keep the experience familiar and responsive.

AndroidNativeAIGPTUXMaterial Design

09 / Optimization

  • Fast bubble initialization
  • Conversation state survives app switching
  • Conversation data synchronizes across devices
  • Responses stream in real time

10 / Deployment

The interface, conversation, and AI service layers are separated for easier maintenance and expansion. Releases are:

  • Delivered in small versions
  • Validated for stability
  • Designed to reduce operational risk

11 / Scaling

The architecture supports additional AI models and new capabilities without disrupting the existing experience.

  • Support multiple AI models
  • Synchronize multiple devices
  • Add new AI capabilities

New services can be introduced behind stable application interfaces.

12 / Monitoring

The application monitors:

  • Overlay errors
  • AI response performance
  • Conversation state
  • Network connection quality

This visibility helps maintain a fast and dependable mobile experience.

13 / Result

AI anywhere

Available in every application

Realtime

Responses stream in real time

Synchronized

Conversations across multiple devices

Voice

Supports voice input

14 / Lessons learned

A powerful feature does not necessarily create a good experience if users must take too many steps to reach it.

The project demonstrates that optimizing everyday user flows can be just as important as improving the capabilities of the AI model.

Our responsibilities

Product designAndroid developmentAI integrationOverlay UX

Duration

4 months

Deployment date

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