01What is AI Agent Mastermind and How Does It Work?
AI Agent Mastermind is a system that puts many AI agents in one group chat. They talk to each other, share ideas, and critique each other's work. Instead of one answer, you get six.
Instead of generic advice, the agents read your notes and know you before you type.
The agents include Claude, Hermes, Gemini, Codex, OpenClaw, and FreeClaudeCode. Each one uses a different model and skill set. They read your Obsidian vault, which stores your memories and notes.
Then they reply in turn, building on each other's ideas.
When something useful comes up, an agent can save it as a note or start a project. That project goes into a pipeline for your approval. If you approve it, the agents go off and build it automatically.
This turns ideas into real work without you doing the heavy lifting.
02Main Features of the AI Agent Mastermind System
The AI Agent Mastermind has several key features that make it powerful. First, it is a live group chat. All your agents are in one room, and they respond in turn.
This lets them bounce ideas off each other naturally.
- Obsidian vault memory: Agents read your notes and memories before answering, so their advice is about you, not generic.
- Idea factory: Useful ideas from the chat go into a pipeline. You can review, approve, or reject them.
- Implement mode: When you approve a plan, a project manager agent delegates tasks to sub-agents. They build the project for you.
- Gallery: Everything you create is saved in one place. You can preview and revisit it anytime.
- Multiple models: Different agents use different models and harnesses, so they catch what others miss.
Each agent has its own default skills and tools. That is why they can work together and give you a fuller result than one AI alone.
03How to Set Up the AI Agent Mastermind
Setting up the AI Agent Mastermind is simple, even if you are not technical. Julian Goldie built this system from scratch and improves it daily. You can build it yourself or get his ready-made setup inside the AI Profit Board.
- Start with an Obsidian vault. This is your memory system. Write down notes about yourself, your business, and your goals.
- Choose your agents. Pick models like Claude, Hermes, Gemini, or Codex. You can use free options like OpenRouter or local models via Ollama.
- Plug all your agents into an agent operating system. This connects them to your vault and to the group chat.
- Set up the group chat. Give each agent a specific role or skill set. For example, Claude for research, Hermes for critique.
- Connect the pipeline. This is where ideas get saved and sent for your approval. Add the implement mode so agents can build projects.
- Test with a simple task. Ask your agents for keyword research or a content outline, as shown in the episode.
You can also get the full Agent OS zip file inside the AI Profit Board. It comes with the Obsidian memory setup and daily tutorials.
04How to Use the AI Agent Mastermind with Examples
Using the AI Agent Mastermind is like chatting with a team. In the episode, Julian showed a real example. He asked @Claude to do keyword research for SEO about the Hermes agent.
Claude read the vault and came back with ideas. Then Hermes critiqued and added his own.
Next, Julian asked for a content outline. Claude made one, and Hermes gave feedback. Then Gemini, Codex, OpenClaw, and FreeClaudeCode all chimed in with their thoughts.
The agents saved notes to the vault and added ideas to the pipeline.
From there, the agents created a plan. The plan included milestones, who would build each part, and the approach. Julian could click approve and build or reject it.
He approved it, and the agents built the outline automatically.
He also showed a full website built with this system. He just plugged in an idea, approved the plan, and the agents built it. You can also build in multiple languages.
Get the zip file, then ask an agent to recreate it in French or Spanish.
05Results and Comparisons from the Episode
The episode compared the old way to the new way. The old way was opening one AI at a time, asking the same question in three tabs, and getting three answers that did not know each other existed. You had to re-explain yourself every time and copy-paste between tools.
The new way is one room with all agents. They read your vault first, so answers are about you. They build on each other and call each other out.
For example, Codex said a content piece looked great but suggested adding something. That kind of critique helps catch mistakes.
Julian also showed a full website built in a couple of minutes. He said this is the future because it moves from vague ideas to tangible results. He tested Odysseus, Pewdiepie's agent OS, but said the Agent OS can do a whole lot more.
Odysseus is just a UI for organizing models, not a real agent system.
06Tips, Limits, and Mistakes to Avoid
One big tip is to set up the approval step. Without it, agents might build the wrong thing. Always review and approve or reject plans before they start building.
In the episode, Julian said this is the one thing you absolutely have to set up.
Another tip is to use different models. Every AI has blind spots. A room of agents catches what others miss.
If you only use one, you get one opinion. With many, you get debate and better ideas.
Token usage can be a worry. Julian suggested using news portal for free models, free APIs on OpenRouter, local models, or a minimax coding plan. These are cheaper options.
Avoid the mistake of using a generic telegram chat. It is technical to set up, and if something breaks, you cannot fix it on your phone. The Agent OS lets you fix issues quickly.
Also, do not expect agents to know you without a vault. The memory system is key.
07Who Is the AI Agent Mastermind For?
The AI Agent Mastermind is for anyone who wants to get real work done with AI, not just chat. It is perfect for people who use multiple AI agents and feel scattered. Julian said many non-technical people in his community are using it successfully.
You do not need to be a coder. Julian is not a developer. He built this system with simple steps and no code.
The system is designed so you are the orchestrator, not a programmer. You drive the project, and agents do the work.
It also matters because it saves time. Instead of doing all the work yourself, agents implement ideas. They build websites, write outlines, and manage projects.
This moves you from planning to doing. Early adopters are now three to five years ahead of everyone else, Julian said. This system helps you get there.
08Why the AI Agent Mastermind Is a Big Deal
The AI Agent Mastermind changes how you use AI. Instead of one answer, you get six. Instead of generic advice, you get personal insights from your own memory.
Instead of just ideas, you get implemented projects.
This is useful because it fixes common problems. You no longer lose good ideas. Everything is saved in a gallery.
You no longer re-explain yourself. The vault remembers you. And you do not need to copy-paste between tools.
Everything is in one place.
The episode showed this is not just a theory. It built a full website in minutes. This is the future of AI use.
It takes broad, vague AI power and turns it into something you can implement today. That is what makes it powerful.
