A new architecture that inverts the vector database architecture for AI memory that preserves the rich data retrieval of embeddings combined with auditability.

We need to move beyond constraint-based AI control. Introducing an empirical cognitive engineering framework to channel the model’s processing geometry.

Epistemic Integrity Reasoning Testing: 60 adversarial questions measuring if AI recognizes uncertainty, resists false certainty, and passes the Dunning-Kruger threshold before real-world deployment.