Agentic Autonomy Levels
X 3 months ago 16
A framework for agentic AI systems categorizes autonomy levels from low (limiting risk and reversibility) to high (better for explicit tasks and parallel agent fleets). The frontier approach uses a manager agent that delegates to helper agents while verifying outputs and escalating only decisions requiring human judgment. This represents a design pattern for balancing AI autonomy with human oversight in multi-agent systems.