This project explores whether advanced AI models can remain logically consistent when exposed to internal contradictions. Using a testing framework we developed (GEP² Generator Professional Prompts), we will create simulated contradictions between two language models to see how well they handle reasoning under pressure. By measuring breakdowns in their coherence, we aim to reveal hidden flaws in their internal logic. Our goal is not to optimize AI, but to understand its structural limits.