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

M1 → VER

Verbal Tag Alignment

When words match as tags.

M2 → CHR

Chromatic Alignment

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

M3 → SEM

Semantic Alignment

Meaning is consistent across multiple scopes.

M4 → MET

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.