agent-native-architecture

Agent-native architecture is a design pattern where agents operate in loops using atomic tools and prompts to achieve observable outcomes. You need it when migrating from hard-coded workflows to prompt-driven systems requiring emergent capability and UI parity.

To design atomic tools for agent-powered workflows, define granular primitives that map directly to UI actions, ensuring CRUD-like parity. Compose these atomic tools together via prompts to enable emergent agent responses to open-ended domain requests.

To ensure parity between UI actions and agent tools, enforce a strict one-to-one mapping where every UI action has a corresponding agent tool. This CRUD-like parity allows agents to execute the same operations available in the UI, maintaining consistent capabilities.

Yes, building agent-native apps requires explicit completion signaling. Agents operate in loops using atomic tools and prompts, and explicit completion signals are necessary to terminate the loop and indicate that the requested task has been fully resolved.

The best way to migrate from code-driven workflows to prompt-driven systems is to architect agent-native applications using atomic tools. Define atomic primitives, craft a guiding system prompt, and run a loop that completes tasks using dynamic context injection.