ML//agent//agentic system

An agentic system is the complete arrangement that allows model generations to pursue a task over time. It includes the model, instructions, context assembly, memory, tools, permissions, execution environment, stopping rules and whatever evaluates success.

An agentic system is the complete arrangement that allows model generations to pursue a task over time. It includes the model, instructions, context assembly, memory, tools, permissions, execution environment, stopping rules and whatever evaluates success.

This wider unit matters because “the model failed” is often an incomplete diagnosis. A misleading tool result, excessive permission, stale memory or badly chosen timeout can produce failure without any change to the model weights. Likewise, the same model can look far more capable when the surrounding system gives it better observations and actions.

The model proposes. The system remembers, executes and contains.