The secret 1M token AI model that just appeared on the internet

What if you could reverse-engineer your industry's best content, rebuild it in your voice, and automate it across channels—by next week?

Over the weekend, I went viral tweeting about a mysterious new foundation AI model—Quasar Alpha. No one knows who made it. No big announcement. Just... appeared.

A sucker for mystery, I had to test it. With a 1M-token context window (it can "remember" ~750,000 words), I built an agent to scrape content from a brand and its competitors, analyze patterns, and recreate what works—fully in the brand’s tone.

And I did it all using nothing but the context window.

It worked great. Cool automated pipeline with a few lines of code and some prompts. 

And honestly—none of that even matters.

Because the model is just a raw material. And raw materials—on their own—don’t build empires. The real scale comes when you turn that material into a system: logistics (agentic systems), design (application layer), sales (distribution), and data flows that are uniquely yours. That’s how you build a moat.  

That’s how you create a durable, compounding advantage.

Let’s break it down.

Let’s get the model hype out of the way. Yes, last week saw some wild new model drops—and the internet did what it always does: drama, hot takes, leaderboard flexing.

It’s fun, but it’s mostly noise.

Here’s the signal: these models are fast becoming interchangeable. What matters isn’t the model—it’s what you build with it.

Key Takeaway: These models will be outdated in 90 days. That’s not your moat. Your moat is what you build on top of them.

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This is where your moat starts: combining the data only you have—your customer behaviors, internal docs, past sales—with what's out there publicly to create something no one else can replicate.

Having more data isn’t the edge. The edge comes from how smartly and uniquely you combine it.

That’s how you make your system smarter than your competitors’—and keep it that way.

So many businesses stop at creating dashboards. Real leverage comes when AI powers:

If it’s not in users’ (customers) hands, it doesn’t matter.

AI gets exponentially better when it learns from everyone.

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Let’s make this simple:

AI models? They’re like electricity. Necessary—but not enough to build something valuable on their own. Everyone has access to them. They’re becoming commodities.

So the real question becomes: what kind of system are you building on top of that power?

That’s where Agentic AI comes in.

Think of an agentic system like an autonomous team member—except it can set goals, take actions, learn from results, and collaborate across your business.

It’s not a tool. It’s a system that runs with you.

And yes—you can build these fast, with no code tools like n8n (my go-to) or Make.com.

Here’s the breakdown:

We’re living through one of the most exciting windows in business history—and you get to decide if you’re going to use it.

The truth is, someone in your niche is going to figure out how to build the systems that turn a $5M business into a $50M machine. If you’re reading this—and you take action—that someone can be you.

Here’s how to get moving fast:

Let’s build. Let’s scale. Let’s go big.

🔥Book a strategy session

Matt
Founder, BigPlayers.co | CEO, Emerald Digital | CEO, Connyct