From "Thinking Tax" to $O(1)$ Reflex: The Gongju Core

First, I want to express my sincere gratitude to those who have promoted the H-Formula here at pricepertoken.com. Your documentation of it I'm sure will help a lot of devs seeking creative ways to building affordable AI systems.

As a matter of fact, I have been working hard to refine what I call the H-Formula (H = pi * psi^2). To give this community full transparency, I have launched a public GitHub repository where you can audit the logic for yourselves.

I encourage you to look closely at TEM_psiconversion.py and gongju_core.py. These files contain the deterministic engine that transitions AI from slow, expensive reasoning to a constant-time reflex.

Anyone is welcome to fork the repo. I am confident that once you audit the logic, you will see how the H-Formula can save startups massive unnecessary costs and the "Thinking Tax" headaches associated with legacy scaling.