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.

The AI industry keeps pushing ‘autonomy’, but what we actually need is evidence based reasoning and adversarial rigor that fact-checks under pressure. Real world gave an opportunity to test Clarisa in the wild.