Agent Native vs Agentic vs AI Native: How to Tell Them Apart

Agentic, AI-native, and agent-native are often used interchangeably by vendors, but they refer respectively to a system’s behavior, model-centered architecture, and ability for software agents to operate it without relying on a human interface. The passage argues that agent-native claims should be evaluated through five practical requirements: complete callable action parity with the user interface, machine-readable task state and errors, idempotent requests, and logged approval gates for destructive actions. It describes “agent washing” as marketing that presents planning models or limited APIs as full agent operability, often revealed by read-only interfaces, prose errors, unavailable actions, or roadmap-based promises. For buyers and QA teams, the key distinction is that agent-native products require reliable, versioned callable interfaces and contract testing, while agentic systems require outcome- and trace-based testing because their execution paths may vary. Because these terms have no formal standards and continue to shift in meaning, the passage recommends specifying verifiable operational requirements in contracts rather than relying on labels.

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