How to Build Your Own Agent OS

Today, I want to show you how to build your own agent operating system. And if you're tired of your AI tools being scattered everywhere, this is going to blow your mind right now. Most people using AI switching between 10 different tools, losing everything they create, forgetting about everything they built and starting every single chat from zero. And that isn't actually an AI problem.

It's a system problem. And this free blueprint fixes all of it. One dashboard, every agent, everything you have built saved, previewable and findable forever with perfect memory. I spent over a hundred hours building my from scratch, made plenty of mistakes along the way and came out the other side with a full blueprint that anyone can follow.

So today I'm giving you the full step-by-step guide of how I built mine so that you can skip all the mistakes I made and go straight to the good stuff. And there's one layer inside this system I'm going to show you later that makes every single AI agent you use dramatically more powerful overnight. Stick with me to the end for that one. It's the most important part of this video.

Let's get into it. So today I want to walk you through my full agent operating system, how I built all of this amazing stuff, how I've integrated all my agents and how I built a full agent operating system where we can basically build and automate anything that we want. For example, we've got every single functionality of every single AI agent that I've got ready to go here. We can preview anything that I've built previously.

We've got Hermes built over here. We've got Gemini ready to go. We've got OpenClaw with the studio. We can see previous images that we've generated.

We've got videos. We can search Twitter as well. And it's beautifully formatted. Like you can see when we have to do this, you can see all of our previous voice notes here.

And basically what I've done is create a full custom, almost like a SaaS tool, really a full custom agent operating system that I can plug into all of my AI agents. If there's a new one that comes out tomorrow, I can plug that in too. My Fanty Gravity released 2.0, which I did this week. I plugged that in as well.

We've got with Hermes agent, we've got a full control room workspace. We've got the studio with Hermes agent as well over here. And so it's just far easier to create and manage all of my agents in one place. Now today I want to walk you through exactly how I built my own so you can learn how to build your own, all the mistakes I made, every lesson that I learned, the exact stack that I run, how it's all wired together.

And so the way that I see it working together is it's got seven different layers. As you can see right here, this is a really powerful system. The other cool thing about this is you can do it all for free, right? Because for example, you can use Hermes agent as an open source agent to create this for free.

And then also what you can do is you can plug in a free API into Hermes as well. And the same for cloud code, even like you can plug in a free API into cloud code and that can generate stuff for you directly as well. Right? So there's so much cool stuff that you can do with this directly, which is what we love.

So the thing that I would say here is, uh, I tried building this like a dozen wrong ways before I figured out the right one. Right. And the first nine attempts that had a building, uh, AI operating system were tools like kind of duct taped to other tools. Right.

But the 10th was an operating system. And the guide, this guide today is the 10th one, right? With every mistake stripped out, but every lesson I've learned. Right.

So I want to talk you through like my story and why I had to build this system. So the reason that I did this, the reason that I set up all of these systems and why I created this stuff is basically I've been using all these AI agents and it was kind of getting tiring. Like just switching between different tools, different agents, different terminals, creating a tutorial on Hermes, and then having to switch to open core, but then it all stops working. Right.

And then the new feature comes out and everyone's like, wow, that's great. But how'd you actually use it? Right. So for example, the new voice talk came out with open core, but nobody knew how to really use it, which is why I built it into this agent operating system.

Right. And so if you're like tired of switching between chat GPT and Claude and Hermes in one terminal, and then another Hermes in another terminal, not really being able to truly see like all of the stuff you've created as well. That's the other problem is if I open up, let's say for example, I'm using Hermes agent. If I open it up inside a terminal like this, where's my history?

How do I visualize what I've created? How do I see all the videos and the images I've created and everything else? Right. It's very difficult to manage everything.

So that's why we created the agent operating system to literally create a system where you can manage everything. Right. And so the thing is that every morning before I'd be switching between like chat GPT and then Claude, and then even for example, SEO tools like Ahrefs for keywords or Google docs for drafting stuff, different platforms for publishing and each tool was really cool, but none of them talk to each other. And so none of them knew anything about me, my niche, my voice, my customers, right.

Every prompt was a cold start. Whereas for example, if you look at this system here, we have a memory system with all of my contacts built in and all of these agents that are built in here actually take in the notes from my memories. Right. So that's what this is about.

And so Sporter says, this workspace is amazing. Thank you very much, sir. I really love it. Which agent is the best for you?

So for me personally, my top two, my go-to, Claude and Hermes, right? Those are the ones that I know are the most reliable and the most useful, but don't get me wrong. If I want to build out a website, I'll probably use something like antigravity CLI or Claude, right? I probably wouldn't use Hermes for that normally.

And so one of the things about this is we were using chat GPT before, but then we were, for example, using, we were using Claude code and then Hermes, and then there was all this local stuff that was coming out. Right. And the problem is if you try and add that to your existing stack, it's like you're adding AI to a broken workflow that doesn't fix the workflow. It just makes everything more broken, right?

Everything becomes more scattered. And so it took me about nine attempts to figure out what to do instead. Right. And you've probably seen all of the tutorials I've created over the years.

I built nine, half built systems, nine, half failed integrations, nine times. I thought, wow, this is great. And then once you just collapsed two weeks later, because Hermes brings out a new update and I'm like, I want to use that now. Right.

And so then I'd build another set of tools, nailed to another set of tools with no shared memory, no shared dashboard, and no way to orchestrate everything. Super messy. Right. Don't recommend that.

So what I built instead is this agent operating system. So the 10th attempt after all these nine failed attempts was, I just started asking a single question, which is what if agents had an operating system instead of a chat window? And that question has turned into this full blueprint. Right.

And this blueprint is basically what I run everything on now. Now I actually made five mistakes on the way. So I want to talk you through those so that you can avoid them too. The first mistake that I made was thinking AI was a tool, not a system.

Right. So for example, a lot of people think Hermes is a great tool, but it isn't unless you have it inside a system. Right. So for example, for me, I would treat each new tool like a fancy hammer, right?

ChatGPT was great for writing. Claude was great for reasoning. You had Nanobanan that was great for generating images, but every problem looked like a nail for the next hammer. Right.

And you'd add new tools inside your systems instead of asking, okay, where should they all be? How can we have this all living inside somewhere? So the most important thing here isn't the model or the agent that you use. It's the system around the models and the agents.

Right. Once I started designing for an operating system, instead of a chat window, every model gets 10 times more useful without me having to do anything. Right. And this is all hosted locally.

So I can just come back to it at any time. The other thing that I would say here is, and this is a big mistake. I think a lot of people struggle with this is like a lot of people pay for stuff before they actually look at the free options. Right.

So for example, people are like, they used to get a pay, like some people think they need to set up a subscription to have an amazing memory system like this. The best memory system, the most powerful one that I've seen is obsidian. Right. And it's free to use.

It's open source. And so if you look at all the notes that we've had here, all the memories and everything else, if we look at our obsidian memory system over here, right. Beautiful as it is, it was free to set up. Right.

And so the thing that I would say here is that you don't need to get loads of crazy subscriptions, right? The free stack I've seen is better than the paid stack in some ways. Right. Our alpha, for example, has 1 million token context window.

Right. And that is actually bigger than most AI APIs out there. Right. If you look, for example, at Hermes open source free project, that creates new, amazing features faster than most people using like commercial agents, right.

And free cloud code gives you cloud code for free. Right. So the way that I would look at this is don't keep adding subscriptions in, you can pay nothing first, prove the workflow and then upgrade only when the free option can't genuinely keep up, which is very rare to be honest these days. Very rare.

Let's see what questions we got here. Henry says, thanks for Mexico. Thank you very much. And then Trent.

So we've got one here, which is since Hermes is open source, can I make a workflow that can get my agents to answer questions for you? 100% you can write any question answering, you can get it to do it for you. Aston says, hello, good to see you here. And then Sporter says one question, let's say you have a client that's not related at all to your main business.

How can the operating system you build be used for separate clients? So that's why the memory system is so powerful, right? So the memory system can have every other client that you work with. Now, if you actually wanted to build this out for a client, then what you can actually do is you build in the agents like, and for this section here with your goals and your SEO and your studio, you just change SEO to whatever is relevant for them, right?

So you would customize this section here directly to the client that you're working with. Other people say, no, this is another mistake that I made. And I don't know about you, but like, I just find even with memory inside Claude or any of these other tools, it's not that good, right? It doesn't have the details and the details are everything.

I think this is one of the reasons that Andrej Karpathy actually joined Claude because they just haven't cracked it yet. Andrej Karpathy is very good at this sort of stuff. For example, he came up with the LLM wiki concept, which is basically what we have inside the memory system of the agent operating. But basically the thing that I would say here is the, for a full year, every Claude conversation I had pretty much started from zero, right?

And ChaiGPT and everything else. Big mistake, big mistake, right? So if your agents don't remember you, who you are, what you do, you are spending and wasting 20% of your time at least just adding context, which is a mess. You don't wanna be doing that, right?

Instead, you want an amazing second brain like this. And the way that I look at this is that the answer is really using something like, for example, Obsidian, right? It's plain markdown, it's on your machine. Any of your AI agents can use it locally.

You can also give it an MCP if you want to give any agent on the cloud access to this. And then also this means that your AI agents take notes automatically for you. They put it inside your memory system. And then also all your AI agents and everything else that you use pulls out that context and use it for your answers.

So everything becomes more useful, right? And also you don't spend a lot of time updating it because with the second brain system that we've got here, I call it the infinite context engine. With this whole system right here, it's just way, way more personal, right? If I ask Hermes for a list of keywords related to my agency, it just comes up with really relevant keywords because it's pulling that information from my Obsidian vault.

That's a big difference here. Next up, building automations in NA10. Big mistake. This is a big one.

And I would say I've wasted so much time inside NA10. It's pretty good to learn the fundamentals, honestly, but 2026, if you have already a decent understanding of Hermes or for example, OpenCore, you don't need to be using NA10, right? You can spend two weekends wiring a content production pipeline in NA10 or using like Zapier style workflows and connecting OpenAI to Google Docs, to Notion, to Substack but it's quite brittle, it's quite slow. It's a bit messy.

Every webhook needs its own OAuth as well. And then the thing is you can actually just do all of that with Hermes agent inside agent operating system, right? So you can do the same pipeline natively and also with no code. That's a big difference here.

So for example, if I wanna generate SEO content now, I just go through this process and that is way faster and easier than using NA10. So agentic systems aren't automations with AI in them. They're a different category. NA10 is great for like plumbing, couple of tools together but inside an agent operating system, you don't need plumbing, right?

You have a shared workspace and agents to talk to each other directly. Great question from Henry. How can I give Hermes a memory so that every time he resumes a conversation, he remembers what we were creating? Yeah, so you wanna use something called the infinite context engine.

The way this system works is we have OMI that records my screen, it records my microphone. It knows what I'm working on all day. It's taking these memories as you can see right here all the time. As you can see, it's just literally updated 20 minutes ago, 30 minutes ago, 42 minutes ago, right?

And then when we're using this, we can export that to Obsidian. That updates our memory vault inside Obsidian. So you can see here it's exporting that in one click. Then we've got all of our updates and memories from today plugged in and that is organized into a beautiful knowledge system like this, right?

So you go from OMI, OMI takes the notes for you. Then you use Obsidian, Obsidian organized it into a knowledge graph and then you just give your agents local access to your knowledge graph and that's the difference. That's how you do it. Hello Julian, hello everyone.

Thank you very much for joining. So mistake number four, building, yes, we've already talked about that, which was building NSN automations and then mistake number five was outputs landing in random folders nobody could find, right? Like this was pretty crazy. Imagine all the stuff you've generated with AI agents you've forgotten about because you've not organized it into a workspace.

That's why you need an agent operating system. So if you look here, I can go back and I can see all the apps that we've created and I can preview them over here, right? It's pretty easy for me to see everything that we've built and I can just have a look over here and see what we've created, pretty cool. I can come back to all of my previous creations and never forget about anything again.

Look at this website that we created, right? I would just forget about that in two weeks if I didn't have the workspace. And so if you don't have an agent operating system, then you basically have loads of folders that you forget about, accidentally delete and then never see again, right? Whereas with the agent operating system, what you wanna do is have every output with a home that auto-collects it, right?

So for example, with Hermes, everything we create here is plugged into, so if we create anything with goal mode, it's plugged in over here. If we create anything with apps, it's over here. Videos, images, text-to-speech, everything is plugged in, organized. Same for anti-gravity, anything and everything that I've ever created, I can come back and have a look.

Great, right? I'm never forgetting, everything is organized, I'm never gonna forget anything again, right? And also not random file names. So the AI will organize this into beautiful folders.

I wasn't doing that, I'll tell you that, right? And that's why you need agents doing this stuff for you. You don't wanna be doing this all manually yourself. That's a big difference here.

And then the lesson here is like, every output needs to type home, the auto-collects it, right? That's what the workspace tab inside anti-gravity or inside Hermes or inside, for example, OpenWorld has, right? So we can see everything that we've done previously with my agents and it's grouped by type and also organized into local folders with relevant names. That's exactly what we need.

That is what we want right here. And so that's the system that I'm using. It just makes everything easier after that. And then the cool thing about this is you can have different buckets.

So voice, videos, images, et cetera, and every artifact is auto-saved, every file is previewable. You never lose your work, right? You just put it into a beautiful system like this and curate it. And so let's talk about the old way versus the new way.

So there's two different operating models here. The old way, and this was me before the Blueprint, is that I would have loads of subscriptions, I'm hiring a big team, I have 14 browser tabs open at once, like Ahrefs, Claude, Chachipity, Google Docs, Substack, whatever, right? Every prompt is a cold start because I have to re-explain myself 20 times a day with no memory system. Then everything that I create with my agents just vanishes within a week.

I'm manually indexing everything for SEO as well. And then I have one published page per week if I'm lucky, or one website, right? And it's just super hard to organize, a lot of friction involved. And then also the system is just me, right?

With the old way, the system is me. If I don't open up that tab for Chachipity, it's gone. It's not going to do anything, right? And the result is like AI was making me faster at being the bottleneck.

So that was the old way. The new way with the agent operating system is you can use all of this for free, as I mentioned before, but you're not using any subscriptions. You've got Owl Alpha as a brain, you've got free Claude Code CLI, you've got Obsidian Vault, and you've got Hermes, the open source project, right? You don't need a team because you've got Kanban board and goal mode.

You've got one tab open locally, which is this one over here. Every chat can read my Obsidian Vault. So context is automatic and remembers everything before I need to re-explain anything, right? This instant context, every artifact is safe to my workspace, as I showed you before.

And also when I'm indexing pages, I don't need to go manually into the Google search console. Everything is just set up there as well. And then we can publish, I would say about five to 10 pages per day. If you look at my recent projects and the whole system runs without me, which is great.

So I have a system that finishes work on its own and I'm no longer the bottleneck, right? If I want the agent to do stuff without me, I just go into Hermes or go into goal mode. It's gonna work autonomously on long horizon tasks without me doing anything. That's the way, right?

And the old way requires you, the new way basically does everything itself. Now, let's talk about this blueprint here and what we've got inside, because it's basically seven layers built in order, and that's a blueprint for the agent operating system. So if you're thinking about building one yourself, an agent operating system is basically a system you assemble, right? And I would say the seven layers to this, each one is essential and each one feeds the next one, right?

So if you skip a layer, the layers above it collapse. You wanna build them in order from the bottom up and make sure every layer makes the next one easier, right? Which is what you can see over here, right? This is how we build the foundations of a beautiful agent operating system.

So let's talk about the fundamentals of this and how to build it out. So the seven layer blueprint, right? You got the foundation, which is the hardware, the operating system. You have the memory where your context lives, that's Obsidian and OMI.

You got the brain, which is the models you root to. So for example, our alpha could be Grunt, could be Gemini, whatever you want. You got layer four, which is the agents. So the harnesses that wrap the models.

So Hermes or Codex, anti-gravity, free cloud code. You have the command center, which is the mission control dashboard. As you can see over here, this is the full mission control dashboard where we can see everything that's going on. And then we also have the production.

So again, if you're building this yourself, this is what you wanna think about, right? These are the layers I thought about carefully. So for example, the goals, the Kanban, the studio, the SEO notebook, notebook elements inside their workspace, et cetera, purpose-built services, right? These are production services.

So if I'm like today, I need to create SEO content, boom, let's go over there, right? Let's create that SEO content directly. That's what we can do. And then we also have the loop, which is a feedback flywheel that just makes the whole thing improve.

So every time you use this, you're gonna have new ideas on how to improve it. As you've seen in my recent tutorials, I improve this every single day. And so basically it's a flywheel where I make everything improve every single day, right? So for the hardware, I would say you don't need a Mac studio, you don't need a fancy system, right?

You can use this on like a laptop or whatever, right? Any modern laptop is gonna work fine with this. Then you've got the memory, right? So Obsidian plus OMI is the second brain.

This is the layer most people skip and it's the one that changes everything really for you. And basically without a memory layer, every chat starts from zero. With a memory layer, every chat starts with full context on you. Your voice, your goals, everything else.

Obsidian is free, plain markdown, stored on your machine locally forever. Your agents write the notes, the vault becomes your second brain and your agents can use this directly, right? So you can see an example right here. These are our agents, all inside a beautiful knowledge graph.

We've got the full system over here and we can just use this anytime we want. what we want and beautiful. That's all you need is obsidian and a vault folder. So just to recap, we've got the layer one, which is the hardware, you just use a basic laptop if you want.

The memory, which is only obsidian, that's going to give your agents everything they need. And then the layer three is the brain, right? So the intelligence, these are the models you root to, and you can start for free, right? So the model is the engine, the architecture around is vehicle, and you can swap engines easily as new ones come out, right?

Whatever stays in your stack. For example, my current routine is I have our alpha, I have grok 4.3 inside there, I have Claude inside there, but you can just start with a free account on OpenRooter if you want to. And then layer number four is the agents. And again, if you're watching this and you have questions, if you're watching this live, feel free to post them.

I'm here to help you if you get lost in any of this, or if you have any questions, and I'm not explaining myself properly. So this is the agents in layer four, right? The harnesses around the models. So the models alone are like chat boxes, honestly.

If you're using OpenClaw inside the gateway here, it's kind of like a chatbot, right? How are you going to preview everything? How are you going to manage everything? Whereas you go to OpenClaw inside the agent operating system, yeah, you can use the chat if you want, but what it's better for is generating images, searching Twitter, doing research, voice, video, and seeing everything that you've done visually, and also customizing it more.

So if I want to voice chat, I can change the voice I'm going to speak to. If I want to do a video, I can change, okay, what's the aspect ratio? What's the resolution, right? I can change your voice on text to speech.

I can see all my previous history here. I can see all my previous images over here, right? That's where you are. So the cool thing about this is agents are basically models, but with tools, with memory, the ability to act, right?

And each agent below wraps the brain in a different way for a job. What is the brain? We've talked about that in step number three, right? Layer number three.

So you've got Hermes, you've got OpenClaw, you've got Codex, AntiGravity, FreeClaw, Code, all built in. You don't need all of them on day one, right? You could just go with Hermes and OpenClaw to start. You could go with just Hermes, and you can add the rest as you need their strengths.

Most people won't need all of this. I just like to build it in because it's fun, right? That's the difference. And again, you've got all your history of everything you've created over here as well, which is actually awesome.

And then we have layer number five, which is the command center, right? So if we go back over here, this is the command center on mission control section. And basically this is one dashboard for every AI agent. And this is the layer that turns a bunch of CLIs and separate terminals into an operating system.

Mission control is running, it's actually Next.js as a dashboard. You've got a sidebar of agents over here, as you can see. You've got the workspace, Kanban, Studio, NotebookLM plugged in as well over here, right? Like everything you need all in one place.

You can just come back to it whenever you want to. And so the thing that I learned about this is like, you build it once, every new agent that ships in the open source world plugs into the same sidebar. That's it, right? And all you need is really like this setup here, which you've got.

And then production services, right? This way it gets fun. So anything that you do regularly, you want to set up inside your agent operating system. So for me, what do I do?

I review my goals, I build teams of agents, I have a studio and I generate images and videos a lot and social media content. And then also I do a lot of SEO. I use NotebookLM a lot. I have workspaces, right?

Where I want to see everything that I've built. And so this is where mission control stops being a chat box and basically becomes a place where actual work gets created, right? So if we go into, for example, the systems here, you can see we've got this full setup where we can plug in a keyword and rank for anything that we want and then deploy it to our websites, right? Pretty cool.

We've got goals mode inside Hermes and Codex. We have the Kanban ports inside the Hermes and everything else. We have the studio for generating images and everything else, right? The SEO section that I just showed you.

NotebookLM for generating podcasts and infographics. And then the workspace where we can see all of our previous work that we've created. Perfect, right? That's what we want.

That's what we want. And then, by the way, if you are watching this and you're like, do you know what? Sounds like a lot of work. Believe me, it is.

I've literally spent over 100 hours doing all this, putting it all together, customizing it exactly how I want. If you just want the full agent operating install for me, you don't want to build it yourself. We've got it ready-made inside the AirProfit boardroom. So we've got the full mission control setup, every agent wired in, the design system already applied, the UI, the workspace preview, the studio setup.

Everything is ready to go inside there. Plus, we have the prompts, the SAPs, the zip file for installing it, the 30-day roadmap, four weekly coaching course as well. And also, if you want this whole system, you can just grab it over here, right? So you have a video tutorial on how to set up, all the prompts, we show you when we last updated it, because I'm always creating new updates for it.

And then also you can see the zip files down there. So if you want this stuff, you can grab it over there. And then we have layer number seven, which is the loop. And this is a feedback loop that makes everything improve, right?

So this is a layer most people are never going to build, but without it, your agent operating system is impressive on day one, and just the same on day 100, right? Because nothing's improving. So the loop is simple to describe and easy to skip. So every output your agents produce has to get written back into the memory layer.

So every blog post, every Kanban card, every studio image or video, whatever you create, every goal mode completion, all has to flow back into Obsidian, the structured notes, right? And what this means is every new chat gets smarter, right? Every new piece of content references prior ones, you get the brand voice, you get the system and everything else. And that's it.

Then I have journals built in and that sort of thing. If you want to know like where I started and how it all went. So yeah, I just, I started using OpenCore as kind of like a chatbot, but it was not very good. Then I set up Obsidian with the full knowledge system.

After that, I moved Hermes alongside Core. So those were the first agents I actually built in. From there, I set up the dashboard. After that, we started adding in the workspaces, right?

So for example, you can see the workspace over here where we can preview everything we've created. And we've got everything ready to go and we can see what we've previously created, right? So it started off as just one basic thing and then it brews. And that's a feedback loop that you want to build as well from there.

Just keep building out, keep improving it, right? And every day, every week is a lesson that I didn't want to learn. But by the time you've iterated on this 15 or 20 times, the system is really running for you. It's becoming very autonomous.

So that's basically it for my system, how it works, how I built it. But there's nothing stopping you from building your own agent operating system too. If you actually have a look, we've got loads of wins from the air profit boardroom. You can see, for example, John Meza, Dr.

John Meza, he actually created his own agent operating system, as you can see right here and posted about it. And he said, thanks so much for your guidance, right? So I know if he can create an operating system, if I can create an agent operating system, anyone watching this can as well. There's nothing stopping you, right?

Nothing stopping you from building this yourself. And you can see all the wins here and how people have done this without any sort of experience with AI and they've done it for all sorts of cool things. There's so much cool stuff that people have created and built this, right? And that's what we like.

So some people, I'm just going to address some of the limiting beliefs because most people are never going to build this. And it's not because they can't, it's usually because they build like, they believe one of three things, which are wrong, right? So the first belief that's quite wrong is like people say, I'm not technical enough to build an operating system. Honestly, like for me personally, I have no technical experience.

I'm not a coder, I'm not a developer, but I built this whole system myself, right? So the technical bar is, can you copy and paste the command into a terminal? Yeah. Okay, great.

Then you can do this, right? Anyone can do this. Some people say this will be obsolete in six months. Why bother?

I think actually it's the opposite because the architecture is what survives, right? Models change, tools change, agents get replaced. We've seen that with, for example, OpenCore this year, right? Hermes has overtaken OpenCore.

No problem, right? I've got Hermes and OpenCore. I can always delete Hermes, sorry, I can always delete OpenCore later. Something comes out tomorrow, put it inside the system.

So it doesn't matter what changes, right? And then the thing that I would say is like the longer you wait, the more context you're not improving, right? So the seven layers that we've talked about today, foundation, memory, brain, agents, command, production, loop, they stay, right? If you build it now, every new agent, every new model comes out, plugs into your existing system, right?

But if you don't build this, then you're going to fall behind and you're going to be overtaken by people who do implement this. That's the difference here. Let's see what questions we've got now. Oh, this is cool.

Rudo says, I was trying to find a replacement for NerveUI and then I found this. How amazing, thank you very much. Yeah. If you look at our system for OpenCore, it's super nice.

This is, honestly, this is my favorite OpenCore UI. And I think it's because I've just built it exactly how I want it, but it just, it looks great, doesn't it? It looks great. We can have a little conversation with OpenCore over here.

We can see what we've generated previously. We can go into our workspace and see everything that we've created. We've got our control room. It's just a beautiful UI, right?

That's how it should be. Grace says, can OpenCore and Hermes use the same Obsidian Vault at the same time? 100%, right? 100% because everything is stored locally, right?

So with this Obsidian Vault that we have, all your agents can use this at the same time. They can all update it and also pull context from it at the same time, right? So yeah, use it however you want to. And then Corey says this as well.

This is awesome. So he says, if you can read and type, you can make an agent operating system. 100% you can, right? Now the final wrong belief we've already covered too, which is some people say it's obsolete in six months.

Absolutely not. This is a system that you build and it lasts and improves every day forever, right? Other people say, well, I'm not technical enough to do it. Again, Corey says it himself.

If you can read and type, you can make one. I agree with it, right? Great point. And then also some people say, I'll just keep using ChatGPT and Claude in the browser.

It's good enough. Good enough is what you say before you watch someone who created their own agent operating system, create 10 times more output, right? ChatGPT in the browser, it really doesn't know you properly, right? It doesn't have enough context.

It's not using any sort of like orchestration system. There's no studio. There's no real preview of what you created previously, right? The agent operating system is the operating system.

It's a different category. And we've actually got a 30-day roadmap for this inside the Aircraft Football Room. But just to recap here one more time, seven layers. agent operating system, the foundation, memory, brain, agents, command, production, loop, right.

The old way was getting loads of subscriptions, hiring a big team, and you being the bottleneck because you have to do everything yourself, right. The new way is one assembled system that runs on free tools, works autonomously 24-7, and gets smarter every day you use it, right. And you can build it solo from this blueprint over a weekend or over four, right, or if you just want to get the whole setup with coaching calls and everything else, you can get it inside the AI Profit Boarding. You get the full mission control system, the studio already configured, the SEO section, notebook LEM plugged in, 100 prompts, 30-day roadmap, weekly live coaching calls, and also every time I update this, I plug it in here, I give you the last update, I give you the zip file, and the video tutorial as well, plus 100 prompts and a 30-day roadmap.

If you want the full memory system that I talked about a minute ago, I've got the infinite context engine here, which is what you can use to give your AI agents a memory that never forgets, right, and it's all inside the AI Profit Boarding. Link in the comments description or go to it in the AIProfitBoarding.com. Inside the community, I actually answer your questions with a video tutorial daily. So you can see, for example, this question was just asked 24 hours ago, we already answered it here, and you can see that you got a great answer and said thanks a lot, Julian.

So we answer your questions with a dedicated video tutorial, right, and then we give you the full step-by-step breakdown in case you don't have time to watch it, right. You can see, for example, same with Olga, right, Olga asks a question, we answer it with a video tutorial, and then we break it down for a step-by-step process right here. That's what we're talking about, right, helping you as much as we can. Inside the classroom, you can get access to all my best lessons, tutorials, everything else.

Inside the calendar, we actually do four weekly coaching calls where you can get help and support in real time, ask questions, etc. Inside the map, you can actually connect with people in your local city who are using AI agents just like you. So you can see all this map and everyone, you can connect with everyone in your local area who are using AI agents and automations just like you, and then you can connect with me personally as well, so you can direct message me or ask me any questions and everything else. Let's have a look here, so Corey says, future of the internet, AI is going to just generate what we need.

Yeah, I'd agree. You look at this agent operating system, that is the future, right, this is what's coming, this is what everyone needs right now. Imagine you have this personalized for you, your life, your goals, your personal life, your business, everything, it's going to be absolutely amazing, right, it would change everything for you, right, it's changed everything for me, I'll tell you that for free. Yeah, and you can see some other cool stuff that people have built as well, okay.

So thanks so much for watching, as always, hope to see you inside here, I'll see you on the next one, cheers, bye-bye.