Today on the AI Daily Brief, yep, I did it. We are talking about the 10 agent team that I put together with OpenClaw, how I built it, where I'm finding value, where I'm not, what I think you should do, and much, much more.

The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.

All right, friends, quick announcements before we dive in.

First of all, thank you to today's sponsors, Assembly, robots and pencils, super intelligent, and blitzie.

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If you're interested in sponsoring the show, send us a note at sponsors at AIDailybrief.a. You can also see the other things cooking in this ecosystem at AIDilybrief.aI. Certainly the one that I would point you to after this episode is AIDVTraining.com, where we are going to be trying to get as many of you who want to build something akin to what I did here. So I'm in the midst right now of a marathon 24-hour trip down to South America, where I'll be for a couple weeks during which the show will proceed as normal, but since I'm not exactly sure when I'll be up and running, I have preloaded episodes for Thursday and Friday, meaning, of course, apologies if there's some big news that I'm not covering. I am sure that I will get to it as soon as I can. This is one that I've wanted to do for a while, though. And while it might have been an operator's bonus before, I think there is enough interest around OpenClaw that it's worth doing as a normal episode. OpenClaw has, at this point, very much jumped from a hypey thing that some early adopters were excited about to a key part of this inflection point that we're living through, which is in and of

itself rapidly expanding outside the early adopter set, and even more than that, showing the

patterns and primitives that everyone is going to be using even if they are not with OpenClaw

in just a few months to come.

What you're looking at right now on the screen is a mission control that I built for the set of agents that I have running. I can see what interaction I have scheduled, certain things that they've

found, costs, and things that are waiting on decisions for me. But how did I get here? Specifically,

why jump on this particular trend as opposed to any of the other million trends that we've seen?

First, I think that the promise of digital employees, not just AI assistance, but actual workers who can be doing things for you when you are not working, is a level-up goal of AI that we've been trying to achieve for a number of years.

It felt like this might be the first time that we actually had something like that, and specifically in a way that was flexible and

customizable. What I liked about OpenClaw is that instead of being boxed into a particular

type of digital employee with a bunch of assumptions programmed in, I could just customize

it entirely for my specific purposes and use cases. The third part is that this

is one where the more people who do it, the better it is for everyone. The network effect around

OpenClaw doesn't just get it more press, it gets all of us more resources, more experiences to draw

from, better documentation, more learnings, more lessons, as well as more skills, and capability

sets that people keep building

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