John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

AuthorJohn Deacon

An independent AI researcher 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. Read more at bio.johndeacon.co.za or join the email list in the menu to receive one exclusive article each week.

Building Decision Architecture That Bridges Human Insight and Machine Precision

A systematic approach to structuring human-machine collaboration through clear decision stages—observation, orientation, decision, and action. This framework reduces cognitive load while maintaining human values and contextual intelligence, creating an efficient bridge between insight and execution that scales across teams and organizations.

When Your Stories Feel Lost and Nobody Seems to Care About Your Life Experience

Millions of older adults sit with decades of rich stories trapped in silence, while families drift apart without the wisdom that could bridge generations. AI-powered memory assistance offers a new pathway to transform forgotten narratives into living connections, helping elders rediscover their voice while strengthening family bonds through shared storytelling.

John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

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