Welcome to Stay Naive

No. 1Date: Feb 28, 2025Title: Welcome to Stay NaiveCase Study: First principles & agentic AI

For the past decade, I've built enterprise planning and forecasting systems. I've met brilliant people across the world, and watched some of the smartest people in the room overcomplicate everything, relying on convention. They relied on maps.

Now, the AI wave has hit. The experts immediately did what is most natural, they created a new map. They called it prompt engineering. They told corporate executives to spend their days chatting with bots to gain productivity. Modern media turned it into a hustle. It treated this technology like a sprint to be won by the exhausted.

This is why I am launching a newsletter called Stay Naive.

Why do we want to Stay Naive? Isn't to be considered naive usually considered a fatal flaw?

No.

To be naive admits you have more to learn. The more you know, the more you don't know. So the ultimate goal is to continue exposing what you have yet to learn.

With AI, we all have a lot to learn, and we must learn it quickly. Agents are actively changing the game. Making intelligence a deflationary commodity.

Many don't yet know how to truly leverage AI. Many are stuck, a deer in the headlights, and many are sprinting in the wrong direction. We need to stop. We need the beginner's mind.

When you strip away the noise of the AI hype, the territory becomes exceptionally clear. We are not building a better search engine. We are building a new digital workforce.

We are moving from chatbots to sovereign agents.

This newsletter is a project of unlearning. We are stripping away the ambiguity surrounding AI. We are reverse engineering the architecture of autonomous systems, together.

There is much we can still learn from history. The most effective minds practiced extreme focus. They practiced ruthless elimination. They built true leverage. Netflix conquered through acceptance of reality, with internet being the new frontier. Edward Thorp beat the market by trusting math over managers. Naval Ravikant proved leverage is a product of judgment instead of effort.

We are applying this philosophy to agentic AI.

We are exploring the intersection of AI and Business Philosophy, and how we can leverage AI, today. Every week we will dissect how to build, and grow, a digital workforce.

This is a cambrian explosion of intelligence.

Stay curious. Stay foolish. Stay Naive.