Agent-native platforms treat AI Agents as first-class citizens, and their APIs, CLI output formats, and error message structures are all designed in forms that are easy for LLMs to parse and reason about, specifically manifested as structured command return values, error messages containing sufficient context, idempotent operations, and status query interfaces.