Digital archives give researchers unprecedented access to historical figures but flatten complex thinkers into searchable data points. This piece provides a working protocol for reconstructing coherent intellectual trajectories from fragmented digital artifacts, moving beyond keyword searches to preserve contextual integrity and developmental paths.
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.
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