Show HN: Atizar-AI agents where the server runs approved actions, not the model (atizar.io)

Atizar-AI has unveiled a novel approach to autonomous agents emphasizing accountability and user control. Unlike traditional models that autonomously execute tasks, Atizar requires human oversight for every action taken by the AI. This open-source framework allows users to define workflows in TypeScript while linking server-side functions through a robust approval mechanism. Each action suggested by the AI is logged, and only after user validation does the server execute the tasks, ensuring a level of trust and safety often lacking in automated systems. This innovation is particularly significant for the AI/ML community as it addresses the critical concerns of security and reliability in deploying AI agents for sensitive tasks like handling emails or financial data. By enforcing test-driven development and maintaining strict control over action execution, Atizar empowers users to command the workflow while minimizing risks associated with autonomous decision-making. The system’s design—complete with human approvals and detailed activity logs—promises to foster broader acceptance of AI tools in professional settings, enhancing productivity while keeping users firmly in the driver’s seat.