Nufar Gaspar

First of all is why the agent OS is the most important and most overlooked concept in practical AI.

We then will go over quickly the seven layers and what actually goes in each one.

And we'll talk about how to build the first version of this this week using the running example of a chief of staff agent.

So your agentic operating system has seven layers and you can see them on screen.

And all of your agents will run on top of these layers.

And each agent is basically inheriting the whole foundation.

So DOS is what makes agents effective regardless of which tool you use and regardless of how many agents you add over time.

You build the OS once, you maintain it, and then every agent you add gets better because the foundation is there.

And we're going to walk through each layer so you will have better sense of what I mean by that.

And before I go into the layers, just to make it more concrete, I want to build one specific agent as we go through the layers.

And let's focus on a chief of staff agent.

That will be the agent that reviews your inbox.

You perhaps let it prepare you for a meeting, track every commitment you make across calls, maybe flag any blind spot that you have.

This agent can perhaps draft your weekly updates, know your people, know your priorities, and so on.

And this is one of the first agents, by the way, that I built for myself.

I built Chloe.

She runs on OpenClaw, and she's the front door to my entire system that I will briefly share later on.

So of all the agents that you can build, the chief of staff is probably the one that helps you the most in the day-to-day.

And whether you're an individual contributor and you're just getting started in your career or you're a seasoned executive already used to managing a team of assistants, everybody would benefit from having a chief of staff.

And eventually your chief of staff can become the agent that manages the other agents.