An AI agent may be better understood as a current than as a thing.

Process philosophy begins from the idea that reality is not fundamentally composed of things which then change. It is composed of processes, relationships and transformations. What appears to be stable are really patterns that hold together for a time within a wider flow.

Think of sandcastles, and the impermanence of form over time.

Viewed in this way, an AI agent is not really an ‘entity’ that performs a sequence of actions.

The organised flow is the agent.

An AI model can be thought of as a vast field of possible intelligent processes. On its own, it is not pursuing a goal. Context, instructions, memory, tools and feedback channel activity through that field.

One process becomes the input to another. A relatively coherent current forms, persists for a time and may be given a name. Several such currents may also interact, with the output of one agent becoming part of the context that shapes another.

When designing an agent we are arranging flows of information and action: deciding what enters the process, what persists, which tools can be used, how results return as new context, where the process can branch, and where human judgement can interrupt or redirect it.

Capability therefore emerges from this fluid arrangement, the channels, locks, and eddies.

Perhaps the most useful mental model, then, is not a digital worker inside a system, but a temporarily organised current within a much wider sea of possible processes.