First Principles

What It Does

First Principles is an AI skill that deconstructs complex challenges into foundational truths, then reconstructs them as radically better solutions. It applies the same analytical methodology used by Elon Musk at SpaceX and Tesla — stripping away inherited assumptions until only physics, logic, and economics remain.

The skill operates in four stages:

• The Analogy Trap — identifies and removes industry conventions, best practices, and inherited assumptions that constrain your thinking
• Fundamental Truths — isolates the absolute constraints that cannot be argued away: physics, logic, real economics
• Ground-Zero Reconstruction — builds a novel approach using only the raw fundamentals, with no reference to how others have solved similar problems
• The 10x Delta & MVP — tests whether the reconstructed solution is meaningfully better, and defines the smallest prototype to validate the core hypothesis

Why I Built It

As a designer, I notice that most design decisions are inherited. We pick the nav pattern everyone else uses. We follow the conventions of whatever product category we're working in. We optimize within constraints we never questioned.

First principles thinking breaks this. It asks: if we ignored everything that exists, what would we actually build? The answer is almost always different — and often better.

I built this skill because the method is powerful but hard to apply rigorously without a structured guide. Most people stop at "question your assumptions" and never get to the reconstruction phase. This skill forces the full process — from deconstruction to a testable MVP.

It's equally useful for product decisions, architecture choices, and design direction. Anywhere you feel stuck inside a box you didn't build, this skill helps you think outside it.

How to Use It