March 3, 2026Open Access

Cognitive Exoskeletons for Human-AI Interaction: Nexus Architecture, Token Density, Strategic Coherence, and Extended Applied Benchmarking

Key Points

Enhanced human–AI interaction can improve collaboration and stability over time, addressing current session-bound issues.
A cognitive exoskeleton acts as a meta-structure, guiding reasoning processes between humans and AI systems effectively.
Introducing concepts like token density, this work expands on the frameworks that improve the quality of human-AI interactions.
By utilizing large language models, this architecture allows for deeper, ongoing engagement beyond isolated sessions.

Abstract

Large language models (LLMs) have reached a level of fluency and generality that allows them to assist in complex intellectual work. However, most human–AI interaction remains session-bound, shallow, and structurally unstable. This paper introduces the concept of a cognitive exoskeleton: a persistent, externalized meta-structure that governs how a human and an AI system reason together over time.

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Denis Kozub (Mon,) studied this question.

www.synapsesocial.com/papers/69a75b4fc6e9836116a226ea — DOI: https://doi.org/10.5281/zenodo.18392917

Cognitive Exoskeletons for Human-AI Interaction: Nexus Architecture, Token Density, Strategic Coherence, and Extended Applied Benchmarking

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