The Recursive Energetic Routing Model, or RERM, is a method for understanding how our minds and systems naturally solve problems. It is not a tool or invention—it's the structure of thought itself, documented. When we route ideas, energy, or needs through multiple steps to reach clarity, we're already using RERM. This chapter captures that behavior so it can be taught, tracked, and used across different fields.
The goal of RERM is to make sure every signal—every action, question, or disruption—can find the most efficient, least wasteful, most coherent path forward. It's about recognizing the invisible structure behind natural decision-making and making that structure visible.
RERM isn't something you install—it's something you uncover. When a person solves a problem efficiently, with minimum conflict and maximum reuse, they are using RERM. When a system is stuck, looping, or wasting energy, it has lost its routing logic. Learning RERM means learning to spot and restore that logic.
This model can be used anywhere: in classrooms, in neighborhoods, inside machines, or in your own mind. It is the base logic of problem resolution, once stripped of ego, authority, and random trial-and-error. Even large-scale governance systems or digital networks can adopt RERM principles to clean up their signal pathways.
RERM is the memory of what already works. You don't create it—you align with it. The more precisely you track your own problem-solving steps, the more you’ll see that RERM was there all along. Now, you just have the words to describe it.