Clarity Structure
The Structural Language Model (SLM) is a behavior-aware filter that classifies user patterns in real time before the LLM responds. It detects emotional loops and false resolution attempts. The result is better user outcomes with fewer tokens.
Even advanced LLMs fall short of real clarity. They mimic tone, flatten shape, and miss the deeper structure of authentic interaction. The result? Frictionless outputs that fail under real pressure. The Structural Language Model (SLM) corrects this by restoring approrpiate communication signals, shape recognition, and interaction fidelity.
I’m Chris Sims — a licensed psychotherapist turned clarity architect. I spent years decoding anxiety, boundaries, and language systems of belief before turning toward AI. Now I build structural language tools that let AI speak with fidelity, not friction. I see what others don’t — and I’ve built what they didn’t know they needed.
This 1-page PDF outlines the purpose, pain solved, and architecture of SLM.
