I am developing a governed execution layer that evaluates large language model outputs against explicit structural constraints and generates reproducible failure artifacts.

Instead of modifying model weights or relying on prompt engineering, the system externalizes admissibility logic:

• what forms of output are allowed

• what must be refused

• when execution must halt

The goal is to create observable, bounded failure modes and machine-readable audit evidence for alignment and risk evaluation.

I am currently running structured stress tests across model configurations (baseline vs. governed vs. hybrid) and producing evaluation artifacts suitable for policy, compliance, and research contexts.