01What Is a Claude AI Operating System?
A Claude AI operating system is a single dashboard that connects Claude and other AI agents so they work together as one team. It gives them a shared memory, a workspace, and a place to live. Without it, each AI is just a separate app that forgets everything when you close the tab.
Think of your laptop. The operating system makes the screen, keyboard, and apps work together. AI agents need that too.
Claude is powerful on its own, but it cannot remember your past work or talk to your other tools. An agent operating system fixes that.
In this episode, Julian Goldie shows his own agent OS, which he calls a command center. It lets you see all your agents, give them jobs, and watch them work in real time. This one screen replaces the chaos of 10 open tabs.
02Inside the Agent OS: Key Features
The agent operating system has several key parts. First is mission control, the front page where you see all your agents lined up. You can check if they are online and what they are doing right now.
It works like a car dashboard.
- Each agent gets its own chat room. You can talk to Claude, Hermes, or others in a dedicated space.
- A workspace sits next to the chat. When an agent builds a page, image, or video, it appears there. You click it and it plays—no folder hunting.
- A shared memory system uses Obsidian to store notes and context. All agents read and write to it, so they know what you did yesterday.
- A Kanban board acts like a to-do list. You drop a task in the "new task" column, and an agent picks it up, works on it, and moves it to done.
- A journal page records what worked and what did not, so nothing gets lost.
- A goals page shows your monthly targets, and your agents can work toward them.
There is also a studio for making images, videos, voiceovers, and podcasts. You can turn notes into something people watch without extra tools.
03How to Set Up Your Agent OS: Step-by-Step
You can build your own agent operating system, or you can grab the exact one Julian uses. He offers it inside the iProfit Boardroom with a zip file and a video tutorial. Here is how to get started with that path.
- Go to the iProfit Boardroom website or follow the link in the episode description.
- Get the zip file that contains the agent operating system setup.
- Watch the step-by-step video tutorial that walks you through every click.
- Plug in your AI agents like Claude, Hermes, and OpenCore into the command center.
- Connect the shared memory system, which uses Obsidian, to store your notes and context.
- Start using the mission control dashboard to see all your agents in one place.
Julian notes that even total beginners have done this. In fact, over 3,300 business owners are building their systems now, many with no prior AI experience. The tutorial covers everything, so you do not need to be technical.
If you prefer to build it yourself, you can. The core idea is to give your agents a shared home, memory, and workspace. But the exact setup with Claude wired in is available in the Boardroom.
04Using the Command Center to Work With Agents
Once your agent OS is set up, you use it like a captain on a ship. You give jobs and watch your agents work. For example, you can ask Hermes to do one task and Claude to do another at the same time.
In the demo, Julian shows how to generate a podcast about AI automation. He clicks, pastes a transcript, and the agent creates the podcast. You do not do the busy work; you just hand out jobs.
The workspace previews everything in real time. If an agent builds an image, a video, or a page, you see it right next to the chat. You can check out your podcast library, images, or videos all in one place.
For long tasks, you can set a goal and walk away. Agents like Hermes and Codex have a mode where they keep working until the task is done. UltraCode can run for hours inside Claude.
You come back later and the work is finished, even if you were away.
The Kanban board is another way to assign work. You drop a task in the new task column, and an agent picks it up and moves it to done. Meanwhile, you can work on other things or take a break.
05Results and Comparisons From the Episode
Julian shares real results from the iProfit Boardroom. He has helped over 3,300 business owners set up their agent operating systems. Many had never used AI before, and they still got their systems running.
He shows testimonials, including one from John who "absolutely crushed it."
The episode compares the old way to the new way. The old way was a single AI chatbot, like ChatGPT. You typed in a box, got an answer, and it was done.
The new way is a team of agents with memory and a shared workspace.
Julian also shows examples of work built with Hermes and OpenCore. These agents produce podcasts, images, and videos that you can preview right in the workspace. He admits not every part works every time.
Real tools have rough edges, and sometimes you have to nudge an agent. But even with rough edges, having everything in one place beats juggling 10 tabs.
The comparison is clear: a command center with agents working together is more efficient than starting from scratch every day. The edge today is having a system, not just one good AI.
06Tips, Limits, and Mistakes to Avoid
The biggest mistake is treating AI like a chatbot. Julian says that is the old way. The new way is AI that does work for you, runs jobs while you sleep, and remembers what you did.
Do not just talk back and forth.
Another mistake is waiting for agents to get better. Julian warns that waiting puts you behind. Every month, the tools get more powerful.
People who build their command center now will be miles ahead later.
Do not worry about being technical. Many beginners have set this up. The video tutorial covers every click, so you do not need a tech degree.
The only thing stopping you is the belief that it is too hard.
Also, do not expect perfection. Some days an agent is awesome, some days you have to nudge it. Real tools have rough edges.
The goal is to reduce chaos, not eliminate every problem.
Finally, do not re-explain yourself constantly. Use the shared memory system. Explain your business, goals, and customers once, and let the agents remember forever.
This saves you hours every day.
07Who Should Use an Agent OS and Why It Matters
This agent operating system is for anyone who uses AI regularly, especially business owners. Julian has helped over 3,300 business owners, and many were complete beginners. If you are tired of re-explaining your context every day, this system can help.
It also matters for those who feel they lack time. Setting up the system once saves you time every day because you stop hunting through tabs and starting over. That time can go to your family, thinking, or actually running your business.
The direction is the same for everyone, whether you are new to AI or already deep in it. Start with one agent like Claude, then build it into an agent OS. If you are advanced, wire in more agents and let them run jobs while you sleep.
The real prize is not the technology. It is the time you get back. You become the boss who hands out jobs instead of drowning in busy work.
That is why an agent OS matters more than any single agent.
08Getting the Full Agent OS Setup and Support
If you want the exact system Julian uses, you can get it inside the iProfit Boardroom. The name is spelled "iProfit Boardroom" in the episode, and the website is iProfitBoardroom.com.
You get the full agent operating system as a zip file. There is a step-by-step video tutorial that walks you through every click, so you do not get stuck. You also get daily updates whenever the system improves.
You can plug in Claude, Hermes, OpenCore, and more into one command center. The setup includes shared memory, so all agents know what you did yesterday.
There are four weekly coaching calls where you can ask questions about your own setup. You also join 3,300 business owners who are building their systems alongside you. The link is in the comments or description, or you can visit iProfitBoardroom.com.
Julian encourages you to build your command center and stop starting over every single day. Whether you build it yourself or use his system, the goal is the same: a team of agents working as one.
