agent-native-architecture

Agent-native architecture treats agents as first-class citizens by orchestrating outcomes through loops of atomic tools and prompts. It replaces rigid workflows with flexible, adaptive behavior using parity-driven tool design and dynamic context injection.

Parity in agent tool design ensures every UI action has a corresponding agent capability for seamless interaction. This parity-driven approach allows agents to perform any action a user can, enabling consistent and reliable end-to-end workflows.

Atomic primitives provide granularity and composability, allowing features to be defined via prompts rather than hardcoded logic. By orchestrating these small, single-purpose tools in a loop, agents can adapt to open-ended requests and build complex behaviors dynamically.

A shared workspace design runs agents and users in the same data space with up-to-date runtime context. This dynamic context injection ensures reliable operation by providing the agent with current state information throughout the workflow loop.

Agent-native architecture supports emergent capability and self-improvement patterns through prompt refinement and tool evolution. As usage patterns emerge, the system adapts its prompts and atomic tools to continuously improve workflow resilience.

Agent-native architecture may not suit rigidly deterministic workflows requiring strict predictability over adaptive behavior. If your application needs fixed, unchanging processes without open-ended requests or emergent feature evolution, traditional hardcoded workflows are more appropriate.