Why AI Agents Need Guardrails Rather Than More Autonomy
As artificial intelligence agents grow increasingly capable, developers face a critical shift in focus. Instead of granting these systems more freedom, the primary challenge now lies in building robust surrounding infrastructure, safety protocols, and management frameworks to ensure reliable, controlled, and predictable real-world performance.
Source: Towards Data Science