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 revenue and sales workspace brings account history, pipeline risks, meeting briefs, outreach drafts, and tasks into a reviewable surface.
This workspace supports sales and revenue teams with account prep, follow-up, risk signals, and next steps.
A sales workspace brings account context, history, risks, drafts, and tasks together so the next contact is better prepared.
appamass connects React/Vite workspace, TypeScript data models, and Agent Development Kit (ADK)-based agents when CRM context, drafts, and approvals should work together.
The entry point should improve one recurring moment: prepare a meeting, write outreach, or trigger a clean follow-up.
Sales work benefits when context, draft, and task live in one place. The workspace should prepare action, not automate blindly.
Users see account summary, timeline, open opportunities, risk hints, outreach draft, and task list.
CRM, calendar, and email APIs, Google APIs where useful, retrieval, Agent Development Kit (ADK) tools, React/Vite surface, roles, and audit logs connect behind the workspace.
Customer data, sources, tone, task status, approvals, CRM sync, and follow-up tracking stay controlled.
The first build should improve one recurring sales moment: preparation, outreach, or follow-up.
CRM, notes, history, and risks become a readable summary.
Email or meeting drafts show sources, assumptions, and editable suggestions.
Next steps, owners, and deadlines stay visible in the same workspace.
Related areas showing how mobile apps, React web systems, AI agents, and controllable automations fit together.