AI Should Propose. Systems Should Verify.

In a recent article on Dev.to, Sina Rezaei argues that the integration of AI agents into production environments requires a fundamental shift in architectural design. As AI models move from simple text generation to executing complex tasks like modifying code, calling APIs, and triggering infrastructure workflows, the risk of granting them unrestricted authority grows. The author proposes a clear separation between reasoning and execution: AI agents should be responsible for proposing actions, while the surrounding system must handle validation, authorization, and final execution. By treating AI output as a proposal rather than a command, organizations can maintain a stable control boundary. This approach ensures that even if an AI agent is capable of complex reasoning, it remains subject to rigorous policy checks and security protocols. Ultimately, the author emphasizes that the ability to propose an action should never be conflated with the authority to execute it.