The one person billion dollar company is finally a reality. It's no longer just a thesis. And today I want to breakdown the opportunity for you. A one-man company is now chasing nearly two billion dollars in revenue. I’m talking about Matthew Gallagher, the founder of Medvis. From his home in Los Angeles, Matthew used Rep-Lit to vibe-code a business that used to require an entire floor of engineer…

In the year 1543, Nicolaus Copernicus shattered the human ego by proving that the Earth was not the center of the universe, forcing humanity to accept that we were just another rock spinning in a massive, indifferent void. Fast forward to today, and we are living through the exact same psychological shockwave, but this time, it’s not about our physical place in the cosmos—it’s about our cognitive…

I’ve spent a lot of time talking to you about the philosophy behind "resolvers" and why Garry Tan’s insight is the most important thing happening in AI right now.

But I’m your big brother. I’m not just here to give you the theory and leave you hanging. I’m here to give you the blueprint. I’m here to show you how to actually build this thing, step by step, so you can stop drowning in "AI noise" and start building real leverage.

If you’re a solopreneur or a creator, this is how you build your personal operating system. This is how you build your GBrain.

Step one: You have to define the specialists.

Stop thinking of AI as one giant, glowing brain. Start thinking of it as a team. Before you write a single line of code or touch a tool, you need to map out the roles. What are the departments of your life? Research, Writing, Scheduling, Filing, Customer Support. You have to name them. If you don’t define the roles, the system has no one to route to.

Step two: You build your LLM Wiki.

This is your context layer. But listen to me—do not just dump every PDF and note you’ve ever written into a folder. That’s a junk drawer, not a brain. You need to curate. Create clean, markdown-based files that represent your "truth." Your brand voice, your core business processes, your 2024 goals. This is the library your specialists will pull from. High signal, zero noise.

Step three: You implement the Resolver.

This is the "traffic cop" layer. This is where the magic happens. You’re setting up a routing table. It’s a simple logic gate: "If the user is asking about a meeting, call the Scheduling Specialist and load the Calendar Context." "If the user is asking for a blog post, call the Writer Specialist and load the Brand Voice Context." This prevents the model from getting overwhelmed. You’re giving it the exact right tools for the exact right moment.

Step four: You lean on the giants.

You don’t have to reinvent the wheel. I’m giving you the strategy, but Garry Tan has already given you the keys to the kingdom. Garry has officially open-sourced the GBrain project on GitHub.

I want you to go there. Right now. Search for Garry Tan on GitHub or look for the "GBrain" repository.

He’s laid out the code. He’s shown the architecture. He’s given you the starting line. It is a gift to the builder community, and if you are an early adopter, you cannot afford to ignore it.

Download it. Poke around the files. See how he’s handling the routing. See how he’s structured the knowledge. This is your masterclass in organizational intelligence.

This is how we win. We don’t just use the tools; we architect the systems.

You’ve got the vision. You’ve got the steps. And now, thanks to Garry, you’ve got the code.

Go check out that repo, get your hands dirty, and start building a system that actually compounds.

The era of the "junk drawer" AI is over. The era of the GBrain is here.

Let’s get to work.