React Native and Expo apps with AI support

React Native / Expo AI apps connect mobile inputs, camera, secure data, push, and agent steps into an app that helps users on the move.

What this is for

This fits mobile apps that capture photos, text, location, or scans and turn them into an AI-supported recommendation or action.

  • The mobile flow captures input, shows uncertainty, and lets the agent go only as far as the user can review.

  • appamass combines React Native/Expo, TypeScript, Google Agent Development Kit (ADK), and Python so mobile app, web review surface, and agent logic share one workflow.

  • A useful start is a field-ready flow with input, agent suggestion, correction, and controlled completion.

Connect mobile capture with agent support

AI in a mobile app should not only chat. It should use the moment: camera, location, input, and context become a reviewable next step.

What users see

Users see detected information, editable fields, sources, follow-up questions, and the choice to save or submit an action.

How it works

React Native, Expo, TypeScript, Agent Development Kit (ADK) events, Firebase Auth/FCM, secure storage, deep links, backend APIs, and push connect behind the flow.

What stays controlled

Local data, permissions, sources, uncertainty, push rules, error cases, and approvals stay controlled.

A first mobile AI flow

The first flow should show how a user captures something on the move and how an agent prepares a helpful, reviewable action.

Capture mobile input

Photo, text, location, or scan is captured in a structured way with user context.

Review agent result

The suggestion shows detected fields, sources, uncertainty, and correction options.

Build mobile approval

Save, hand off, escalate, or submit becomes a clear controlled step.

Related areas showing how mobile apps, React web systems, AI agents, and controllable automations fit together.

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