Causal Geometry Engine

Load a DCG causal-geometry JSON model.

Search

Guided walkthrough6 steps

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Explore

Structure

Power

Consequences

Action

Futures

Current lens

Causal Geometry

Read the system's directed structure, polarity, feedback loops and evidence.

Causal loopsChoose a feedback structure to focus.

The canvas remains the primary evidence surface. Select a factor or relationship for mechanism and evidence details.

Scope

All

Perception = visible events · Operation = reproducing mechanisms · Consequence = delayed structural outcomes.

Context

ScenarioBaseline

Scenario states modify tension/salience and spectral interpretation; they are not predictions.

Domains—

View settingsDisplay

Causal polarity labels Animated propagation Tentative relationships Analytical annotations Luminosity halos Power-operation labels

Engine V16——Causal Geometry—

Causal sequence

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Step 1 of 6—

Load a DCG causal-geometry model

The visualization engine is separate from the domain model. Choose or drop a compatible JSON file.

Drop JSON model here
or

Dual mode, fully offline-capable: under HTTP(S), the engine loads the external JSON model. Under file://, it uses the embedded model snapshot. The graph runtime is bundled inside this HTML, so no CDN or internet connection is required. The picker remains available as a manual override.

Reading this map

Sources, evidence scope & model boundary

Load a DCG causal-geometry model