01What is a Claude agent OS?
A Claude agent OS is a mission control dashboard that brings all your AI agents, command-line tools (CLIs), and custom workflows into one place. Instead of jumping between different apps and tabs, you orchestrate everything from a single system. In this episode, Julian Goldie shows how he built such a system to automate SEO, content creation, and more.
The idea is simple: everything that costs you time can be automated and made one click away. For example, you can generate images, create AI avatar videos, or draft social media posts without leaving the dashboard. This approach differs from using Claude directly because you control the layout and workflows, and you can customize it fully.
The system is not open source, but you can build your own or get Julian's version inside the AI Profit Boardroom. Even if you don't use that, the concept applies to any AI user who wants more efficiency.
02Key features of the agent OS
The agent OS includes several built-in agents and workflows. One is Hermes Oracle, which pulls in the latest news and helps you create SEO content or social media posts in one click. It also organizes trending topics every 24 hours on a rotation, so you always know what's popular.
Another feature is voice activation, letting you control the system hands-free. You also get a pipeline that takes you from ideas to implementation, making it easy to turn thoughts into actions. The dashboard has a section for agent orchestration, where you can manage multiple AI agents, like a chief executive and a chief technology officer.
There's also a memory galaxy that stores all your memories and automatically updates every time you use the system. This means every workflow and agent has the latest context. You can search through memories or bookmark music or other outputs for later use.
- One-click content generation for SEO and social media
- Voice-activated commands
- Agent orchestration for complex tasks
- Memory system for personalized context
- Customizable dashboard layout
- Integration with free or cheap APIs and local models
03How to set up your own agent OS
Setting up a Claude agent OS involves a few key steps. Julian recommends using Claude as the base model, but you can also use free APIs or local models to save on tokens. Here's how to get started based on the episode:
- Choose a building method: use Cloud Code or similar tools to create your dashboard from scratch.
- Decide which agents and workflows you need, like news aggregation or SEO automation.
- Build or install the system inside a community like the AI Profit Boardroom for a ready-made option.
- Customize the look and feel by editing the code or settings to match your preferences.
- Add your API keys and connect any CLIs or local models you already use.
- Test the system with simple tasks like generating a social media post or an image.
Julian spends 3-4 hours daily improving his system based on community feedback. You don't have to start that big—just begin with one workflow and expand over time.
04How to use the agent OS for daily tasks
Using the agent OS is straightforward. For example, to create SEO content, you open the Hermes Oracle agent, which fetches the latest news and lets you draft a post with a click. It links directly to the trending topic and categorizes it for easy posting.
For video creation, you use the AI avatar video generator. You pick a style, and the system produces a video in about two minutes. If you want music, you can go to the music agent and ask for a specific genre, like Jamaican reggae, and it generates a track you can bookmark.
To automate SEO, you use the one-click SEO workflow that handles optimization tasks without manual effort. The voice-activated agent lets you issue commands verbally, which is handy when your hands are busy.
- Open the desired agent from the dashboard
- Choose the task type, like content, image, or video
- Click generate or use voice commands
- Review and edit the output if needed
- Save or bookmark results for later
Because the system has a memory, it learns your preferences over time. That makes each task faster and more accurate as you use it.
05Results and comparisons from the episode
In the episode, Julian shows how the agent OS improved his workflow. He no longer worries about SEO or generating music because the system handles it. He also tests new AI models like Hermes mixture of agents, which came out 48 hours before the episode, and integrates them quickly.
He mentions that the mixture of agents ranked top two on his GoldieBench leaderboards, which compares all AI models he's tried. This shows the system helps you stay ahead by testing and documenting new tools automatically. Everything he tests gets documented in a website that compares models and local systems.
Community members report success too. One member, Rick, joined the school 30 minutes before building his OS using Cloud Code and superpowers. Another, Robert, started at $0 four years ago and now earns $25K months.
These examples show the system can lead to real financial results.
Julian notes that you can't orchestrate multiple AI agents anywhere else except Paperclip, which he's tested widely. He believes this is a unique capability that gives you an edge.
06Tips, limits, and mistakes to avoid
When building an agent OS, avoid trying to chase every new model like Grok or GPT 5.6. That leads to feeling behind and overwhelmed. Instead, build a system that works for you and improve it gradually, even 10% better each day.
Don't worry about token costs—use free APIs, cheap APIs, or local models to keep expenses low. Julian emphasizes that you don't need expensive setups to run the system effectively.
One limit is that the system isn't open source, so you can't customize it as deeply as you might want. But you can design your own from scratch, as Julian did, to have full control over the look and functionality.
- Start with one or two workflows, not everything at once.
- Test each agent thoroughly before integrating it.
- Keep your memory system updated by using it consistently.
- Seek feedback from peers or community to improve the system.
- Avoid relying on single tools that can go down, like Claude alone.
07Who should use a Claude agent OS
A Claude agent OS is for anyone who uses AI heavily and wants to save time. Julian says it's especially useful for people who want to get clients by showing off impressive AI skills. Clients hire those who test the most, and an agent OS lets you automate testing and documentation.
It's also for business owners who feel overwhelmed by trying to keep up with AI changes. With a system, you set the rules and never fall behind because you know exactly how it's built. The memory and daily improvements make it powerful over time.
You can use it for personal fun too, like generating music or videos on the spot. Julian describes the experience as playing a game where you are the architect and controller of your own tool. That makes the work enjoyable and motivating.
