Explore how the CAM framework enables intentional AI integration while preserving human cognitive sovereignty. Learn practical approaches for maintaining signal clarity and identity architecture in an age of generative models.
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
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