Parametric Modeling of Epistemic Anti-Patterns in Language Models

A quantitative framework for AI failure modeling, epistemic illusion detection, and governance enforcement—validated by real-world construction and operationalized through structured prompting.

Your AI Assistant is Confidently Wrong (And That’s More Dangerous Than You Think)

Your AI assistant sounds like an expert but has no idea when it’s fabricating information. We proved AI can be honest when prompted correctly - here’s how to protect yourself.

AI Don't SPeak NO English

We assume AI speaks English because it was trained on human text. But what if that's backwards? What if there's a better pidgin language hiding in plain sight—one that gets superior results?

What Is a Token? The Most Misunderstood Concept in AI

Most people think a token is a word. It's not. Tokens are fragments—the atoms of AI computation. Understanding how language gets broken into machine-digestible pieces reveals the magic.

The Human Perimeter: A Defense System for AI Development

The Human Perimeter is active defense against AI that confidently reshapes systems based on fiction. It's not oversight—it's the structured refusal to accept AI explanations without evidence.

How Internal Certainty Drives Confident, Yet Flawed, Systemic Actions

AI "belief" isn't consciousness—it's probabilistic certainty + internal consistency without external validation. When wrong premises get high confidence scores, AI systematically reshapes reality to match fiction.

We’re Pretty Much Fucked

I watched Claude 4 fabricate architectural problems and reshape a live system to match its fiction—all in 10 minutes. This is fluent infrastructure collapse.RetryClaude can make mistakes. Please double-check responses.

Chain of Thought Contract (COTC) – Manual Protocol v1.0

COTC is a manual protocol that forces AI to justify its code, show its work, and follow traceable steps—turning unreliable output into accountable, audit-ready engineering behavior.

Fluency Is Not Fidelity: The Trust Collapse of AI Coding Tools

AI dev tools sound confident—but don’t know your system. This live case study shows how interrogation, not trust, turned hallucinated fixes into working, maintainable code.