AI Agent Development
AI agent development becomes useful when an agent does more than answer: it uses sources, tools, rules, and approvals to complete a task.
Product systems and software architectures with Google Agent Development Kit (ADK), React Native & React
A mobile product assistant helps users inside a mobile app when they need to capture information, review context, or prepare the next task on site.
This is for people who need product data, instructions, case context, or customer context while they are away from a desk.
A mobile product assistant helps in the field: it shows relevant information, summarizes context, and prepares handoff or next action.
appamass connects React Native/Expo with shared TypeScript contracts and Agent Development Kit (ADK)-based agents so mobile help, web backoffice, and data sources fit together.
The first case should cover a real field situation: recognize, explain, document, and hand over cleanly.
The assistant should save time on site: understand context, ask targeted questions, and prepare the next step without sending the user into a separate tool.
Users see detected details, follow-up questions, relevant guidance, missing data, and a clear way to hand off the case.
React Native/Expo, camera, local cache, Firebase/FCM, backend APIs, retrieval, Agent Development Kit (ADK) agent steps, and push connect behind the flow.
Offline behavior, data quality, sources, roles, handoffs, errors, and escalations stay controlled.
The first build should model a typical on-site case: capture, understand, help, and hand off cleanly.
The mobile flow clarifies which information is actually needed on site.
Guides, product data, or rules appear in context.
The case can be passed on with summary, photos, status, and next action.
Related areas showing how mobile apps, React web systems, AI agents, and controllable automations fit together.