Agent Operating Systems: Automate ANYTHING!

Today, we're going to be answering some of the latest questions on the Agent Operating System. This is a powerful system where all of your agents work together. Actually, I did a bunch of new features recently. So, for example, there's a new Wake Word system for Hermes that just dropped today.

We've added that in. Also got, for example, free code with two separate free API routers plugged in, which is OmniRoot and 9Router. And then additionally, we have a new free AI Coder set up here. So you can code over here, you can preview what you've created, you can view the workspace, you can see the history, and you can actually view all your previous creations over here, too.

And then, for example, we have a memory system plugged in. We have, for example, Notebook LM plugged in, or Gemini Notebooks, as it's now called. Antigravity Gemini 5.6 Flash plugged in. So it's an amazing system.

And today, we're going to answer some of the latest questions inside our AI Profit Boardroom community, because I know if people inside the community are setting this up and using it, then I know that you probably have similar questions about these systems. So let's get straight into it, and we'll start answering some of the latest questions about the Agent Operating System. So the first one we got from Stephen was about sub-agents. And it was basically like, how would you consider developing an agent for a large company who want to develop a HR agent, right?

The agent would need to reference different stuff, use it, etc. It would be good if it stored the history as well. Is there a solution for this? Hope that makes sense, right?

So for this setup, I would actually recommend either using a Claude project that you can give members access to. But if you need it to be like much wider, then you can actually create a custom GPT. So a custom GPT allows you to create a custom-trained AI agent that you can share with other people. And then it's also really easy to use.

And that's one of the best things about a custom GPT is like it's shareable. Anyone can access it. It can be trained on all of your policies and anything else you need to add to it. And also, it's super easy for anyone else to use too.

We actually have an example, as you can see right here. So you can just custom train it. You can edit the GPT. You can add custom instructions, upload knowledge files, etc.

That's probably the easiest, simplest solution, right? If you want something more advanced, then you could probably give access to your team to Buzz or something like that. We've got a new tutorial inside the classroom of the AI Profit Boarding. But if you want something super simple, I would say with custom GPT.

Usually, the simplest solution is the best. If you're wondering how to create a custom GPT, we actually have a full tutorial. So if you're wondering how to create a custom GPT, it's right there. But that's the way that I would approach it.

Great question. Another question we got here was from Sue about Pi. Now, Pi is pretty cool. It's kind of like an AI agent that you can custom train, similar to, for example, OpenClaw or Hermes.

In fact, OpenClaw was actually built on Pi. So it's a pretty cool setup. We've actually got a full tutorial on Pi if you want to learn how to use it. And we've also got a tutorial on how to use Pi to build your own OpenClaw, which I'll link to too.

But yeah, it's a pretty powerful setup. It just takes a lot more work to set up from the ground running. Whereas, for example, if you use something like Hermes, Hermes is a lot simpler and much more ready out of the box. But this as well looks like you could build your own custom UI or you could integrate it.

If there's enough demand, we might actually add it to the agent OS. I just don't know many people that actually use Pi compared to Hermes or something like that. But if you want to see me build it, feel free to direct message me inside the AI Profit Boarding. Another great tip from Danish here about using Goal.

And he's given some examples here. So this is like a really nice in-depth tutorial. Thank you so much, Danish, for posting this. I've actually tested Goal mode with Codecs and also with Hermes.

And we have forward slash Goal built into the system. So for example, in Hermes here, you can see we've got Goal mode. And then also over in Codecs on the agent OS, we have Goal mode as well. It's a really powerful feature.

It can also code out for days, which is super exciting. We got another question from John, which is, did Anthropic remove Fable from Cloud Code? They actually didn't. So you can see, for example, inside the Cloud Desktop here, we have Fable 5.

So Fable 5 is definitely still available inside Cloud. And I think they actually announced that it'll be permanently part of the Cloud subscription. So you should still be able to get access. And actually, it's much better than Opus.

Opus 5 right now is just too slow to use. This is pretty interesting. So John was sharing that according to Open Routers data, Hermes Agent is ranked as the most used app in the platform, which I've seen as well. And three times more tokens are used with Hermes Agent versus Cloud, which is insane when you think about it.

I've tried both Hermes Agent and Cloud, and we've got both built into the agent OS as well. For me personally, I still prefer Cloud simply because of the model Fable 5. But I understand why so many people are using Hermes Agent instead because you can use free or local APIs directly inside Hermes. And also you can customize it a lot more in terms of the way you use it, how it's set up, how it looks, how you can build custom workflows like the Hermes Oracle that we've built.

So I could totally understand why Hermes has grown so much. We've got a question here about Buzz. What is Buzz? So Buzz is basically like Slack for AI agents.

And what it means essentially, we've got a full tutorial inside the new daily updates section. But what it means essentially is like you can have an AI powered version of Slack where you can add your agents, give them specialties. It can be used with a Vodex subscription. And also you can even operate it with Hermes.

We've got a tutorial on that too. So it's kind of like a beginner friendly way to use AI agents that's fun and very visual. Mohammed said the first day in the community and he went all in. So he recently joined the community and started building out the Agent OS, which is pretty cool.

And he actually by the end had a fully automated SEO machine built specifically for his business. This is amazing. Congrats for day one progress. Sounds like you absolutely crushed it and well done.

Ed was asking about is anyone building like education technology with the Agent OS and Hermes? The number one way that I can see people using this is the voice agent would be great at, for example, teaching languages. Because you could go back and forth with, for example, like Hermes Apollo and then learn the language for it. And you could actually fine tune or custom train it directly for teaching languages.

I also think that the video manager inside the Agent OS would be great because you just give it research or you give it a topic to research. It creates a script, the voiceover, everything else. And I think that'd be great for creating like course videos as well. So it can teach people things in an automated way that's easy to understand and pretty fun as well.

And for the voice agent, not just learning languages, but teaching people anything on a call. So, for example, that could be learning marketing or learning SEO and it's custom trained on all the stuff you know. Another question from Peter here who said, first of all, I want to say a big thank you to Julian for creating such an amazing Agent OS. Provided the foundation, which is amazing.

And his goal is not to replace or rewrite the Agent OS, but just adapt it, which is what most people are doing, to be fair. And so these are the modules that he wants to use. So that sounds really cool. Like what I would do if you have custom ideas for the Agent OS is speak to the agent that actually set it up for you using the zip file.

And then from there, explain exactly what you want from it. So, for example, you've listed some ideas above. Tell the agent exactly what you want. Test it, iterate it, and then go from there.

Whenever I'm building custom features into the Agent OS, that's exactly what I'll do. So, for example, we actually build custom features with Fable 5. And I was building a feature earlier with Nine Root. Nine Root is a free model you can plug into the Agent OS.

And when I actually tested it, it broke. But then I kept giving it advice until it was finally fixed. And if you follow that three step formula of describing what you want, testing it, and then giving more feedback to the agent, eventually you get like the perfect output. So that's the approach that I would recommend for you.

And that is basically it for all the questions inside the AI Profit Boardroom. So we've answered every single question. Lots of great questions inside there. If you want to ask me a question personally like this and I create a video tutorial for you, feel free to post inside the community of the AI Profit Boardroom.

Link in the comments description or go to the AIProfitBoardroom.com. If you want to get my full setup with all of this amazing stuff so you can see how many powerful workflows we've got inside here and all the cool things you can do with it, you can get all of this inside the AI Profit Boardroom community. Go to the new daily update section and then go to the Agent OS system over here. You might also say, okay, doesn't it like cost a lot of tokens to use something like this?

So we actually have a full training on exactly how to run an agent operating system for free. So if you're worried about tokens, you can minimize them or use it for free there. And we also have a token minimization playbook here that shows you exactly how to reduce the amount of tokens you use. So you get all of this inside the AI Profit Boardroom.

You also get four weekly coaching calls per week. So you can jump on a live call, ask questions, get help and support. And then inside the map, you can meet people in your local area who are building with AI agents like you. So feel free to get it, link in the comments description or just go to the AIprofitboardroom.com.

Thanks for watching.