Type 1
WORDS
Atomic tags: single words, ratios, roots, and diagonals.
Examples: "light", "flow", "ratio", "√2", "diagonal"
Module E
How the DMI Gaming Machine ingests, structures, and interprets content from any page. Intake extracts meaning; the Interpretation Layer routes that meaning through diagonals and into the engines.
Four extraction layers turn a page into structured, machine-readable meaning.
Type 1
Atomic tags: single words, ratios, roots, and diagonals.
Examples: "light", "flow", "ratio", "√2", "diagonal"
Type 2
Contextual tags: short descriptive fragments.
Examples: "thermal gradient", "chromatic shift", "geometric rotation"
Type 3
3–5 sentences summarising the page’s meaning, structure, and dimensional behaviour.
Type 4
One paragraph capturing the essence of the page.
Every intake is output in the same structure so the Interpretation Layer can read it consistently.
words: [ ... ] phrases: [ ... ] page-summary: "..." executive-summary: "..."
All extracted content is routed through diagonal interpretations. Each diagonal assigns a specific structural role to the intake.
Neutral, structural, non-diagonal interpretation.
Hot↔cold boundaries; energy↔matter transitions.
Three-way balance; chromatic triads; geometric triads.
Asymmetry; force↔mass relationships.
Multi-step sequences; hierarchical behaviour.
Non-linear transitions; geometric roots; dimensional scaling.
After interpretation, content is sent to the engine whose behaviour matches its dimensional role.
Pattern shock
Structural realisation
Semantic coherence
Purpose
The Content Intake system allows the DMI Gaming Machine to read any page, extract structured meaning, interpret it through diagonals, and convert it into WOW, AHA, and INSIGHT events.