HEUREKA bulb — colour wheel inside a light bulb

“Oh. Lights go on and colours flash.”

The DMI Gaming Machine

Four Models · One Dimensional & Metric Intelligence (DMI)

The Gaming Machine provides four sovereign models for different alignment methods. Each model expresses a different dimensional technique — from challenge interpretation to vocabulary alignment.

Begin with Foundational Gaming, then progress into multi-scope and multi-vocabulary models, as your confidence grows.

Four Operational Modes — VER · CHR · SEM · MET

M1VER

Verbal Tag Alignment

When words match as tags.

M2CHR

Chromatic Alignment

Hue and saturation of reel frames as the reading of agreement.

M3SEM

Semantic Alignment

Meaning is consistent across multiple scopes.

M4MET

Metric Alignment

Units, quantities and magnitudes brought into one scale.

M1Challenge Earth Demo — ADI
M2Foundational Aligning — LCC
M3Multi-Scope Aligning — MDI
M4Multi-Vocabulary Alignments — DMI

Each version unlocks a deeper layer of dimensional alignment: from verbal and chromatic to metric.

M1

Challenge Earth Demo

Purpose: Become familiar with the power of metric alignment.

Data
The four global challenges (Misinformation, AI Credibility, Climate Change, Energy & Data Centre Efficiency)
Vocabulary
Reference vocabulary only
Scope
Single-scope
Rod-Sets
Dormant
Datasets
Dormant
ADI Layers
Off

This version introduces alignment gently, using curated challenge data and clean vocabulary. It is the recommended starting point.

M2

Foundational Alignment Gaming

Purpose: Experience metric alignment in familiar environments.

Data
Any text — public websites, private files, personal writing, research notes
Vocabulary
Reference vocabulary only
Scope
Single-scope
Rod-Sets
Dormant
Datasets
Dormant
ADI Layers
Off

This version lets you explore alignment using your own material — safe, simple, intuitive.

M3

Multi-Scope Aligning

Purpose: Fine-tune cohesion and consistency by scoping.

Data
Challenge data or your own data
Vocabulary
Input vocabulary + scope segmentation
Scope
Narrow · Medium · Wide · File-wide
Rod-Sets
Active
Datasets
Active
ADI Layers
Partial (Drift Sentinel, Stability Forecast, Change Meter)

This version reveals how meaning shifts across scopes — the first real gameplay layer.

M4

Multi-Vocabulary Alignments

Purpose: Cross-cultural, cross-industrial, multi-lingual alignment.

Data
Challenge data or your own data
Vocabulary
Dynamic vocabulary + post-spin refinement
Scope
Multi-scope + multi-vocabulary
Rod-Sets
Fully active
Datasets
Fully active
ADI Layers
Full (Harmoniser, Insight Stories, Calibration Reports)

This version is the full ADI experience — advanced, dimensional, and machine-aware.