
TOCThe Collapse of Context in Today’s Data PlatformsThe Rise of the Context ArchitectureFirst Piece of Your Context Architecture: Three-Layer Deduction ModelHow Deduction Enables Indexing: Reasoning Systems at the Centre, Catalogs at the PeripherySidecar of the Deduction Stack: Intelligence as an InterfaceSecond Piece of Your Context Architecture: Productise StackSide Note: This Conjunction Also Demonstrates The Right-to-Left Application or “Shift Left”A More Technical View of the Productise StackThird Piece of Your Context Architecture: The Activation StackCatalogs Won’t DisappearThe Trinity of Deduction, Productisation, and ActivationThe Collapse of Context in Today’s Data PlatformsContext is the hyperfuel in the AI uprising. It is data on data: the meta layer that transforms dump characters into meaning. Ironically, one of the world’s leading AI companies understood this long before and literally rebranded itself as Meta. Irrespective of good or bad decisions the company takes here on, we as data practitioners cannot deny the genius of the naming and the semantic significance of it. The goldmine was always data, but the concentrates are the relationships, the meanings, the feedback loops.          
            
        