agent-native-design

Agent-native design maps UI actions to atomic agent tools like read and write to build scalable apps. Parity mapping ensures every user interface action has a corresponding modular tool definition for reliable AI execution.

To map UI actions to atomic agent tools, initiate a design session by outlining target application UI actions. You then generate a parity map defining primitive tools, prompt compositions, and shared workspace rules for agent execution.

Shared workspace patterns with dynamic context injection are created by defining runtime artifact specifications during the design phase. This establishes consistent state management across agent tools and enables scalable prompt-driven composition.

Yes, agent-native design supports extensibility across runtimes by defining runtime artifact specifications. This allows the atomic tool definitions and shared workspace patterns to maintain consistent state regardless of the execution environment.

The best way to define prompt-driven features is applying primitive tool definitions during Phase 2 of the AI pipeline. This approach enforces parity mapping and establishes shared workspace rules for modular orchestrator actions.

You need parity mapping for agent tools when translating user actions into reliable, modular agent-native capabilities. Standard UI automation lacks the dynamic context injection and shared workspace patterns required for scalable AI agents.