John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

AuthorJohn Deacon

Independent AI research and systems practitioner focused on semantic models of cognition and strategic logic. He developed the Core Alignment Model (CAM) and XEMATIX, a cognitive software framework designed to translate strategic reasoning into executable logic and structure. His work explores the intersection of language, design, and decision systems to support scalable alignment between human intent and digital execution. This article was composed using the Cognitive Publishing Pipeline More info at bio.johndeacon.co.za

Building Conscious Co-Authorship: A Research Framework for Human-AI Cognitive Integration

Researchers exploring machine-augmented cognition face the challenge of maintaining identity coherence while expanding cognitive reach. This methodological framework treats human-AI interfaces as sites of conscious co-authorship, providing transparent processes for designing cognitive extensions that strengthen rather than fragment core identity.

How to Maintain Your Creative Identity While Collaborating with AI Writing Tools

Writers using AI assistants face a fundamental challenge: how to harness generative power without losing their unique voice. This exploration reveals how to structure the cognitive interface between human creativity and machine assistance, preserving authentic identity while expanding creative reach through intentional collaboration frameworks.

John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

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