The Missing Layer in the AI Stack

Over the past few years the AI ecosystem has been assembling itself into layers.

First came the models. Then came the tools that allow those models to interact with the world. Now we’re beginning to see protocols that let AI agents communicate with each other and frameworks that help orchestrate their work.

But when you zoom out and look at the emerging architecture, a small question starts to nag.

What is the unit of work in AI systems?

Not a prompt.

Not a tool call.

Not a message between agents.

Something more like what humans already understand: a mission.

In this episode we explore a simple but surprisingly deep idea: that AI systems may eventually need a shared way to describe purposeful work — goals, constraints, policies, and budgets — independent of the particular agents or tools involved.

Along the way we talk about:

Why the AI stack may be missing a coordination layer

The difference between agents, tools, and missions