Frick-E Energy™ Builds a Public Research Hub Around the Human-AI Understanding Gap

Frick-E Energy™ is building its public research around one central problem: humans and AI can use the same words without operating from the same meaning.

Humans bring lived context, memory, values, instinct, emotional associations, pattern recognition and stakes into language. AI reconstructs meaning from the information it receives and the patterns available to it. The difference between those two realities is the human-AI understanding gap.

The Frick-E Energy™ research hub documents that gap across writing, search, recommendations, identity, attribution, small-business discovery and emerging AI decision systems.

The hub includes public definitions and demonstrations of Human Algorithm™, Promptology™, Machine-Readable Authority™, AI Identity, cross-platform interpretation testing, research notes and small-business education.

These are not separate authority categories. They are different ways the same problem appears.

Human Algorithm™ identifies the human logic beneath the words. Promptology™ works on moving enough of that meaning across the gap and testing the machine's interpretation. Machine-Readable Authority™ applies the problem to public identity, evidence and commercial routing. AI Identity describes the version of a human or organization the machine reconstructs from public information.

The goal is not to make AI human. The goal is to stop pretending that shared language automatically creates shared understanding.

Frick-E Energy™ was founded by Heather Fricke to study and improve how human meaning survives machine interpretation as AI becomes part of everyday work and economic decisions.