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Intelligence Inspector

What It Does

Maps any document to a 12-dimensional intelligence vector. Each document becomes a miniature mind — scored by breadth, depth, density, and cross-dimensional reach.

Metrics

  • Intelligence Vector: 12-dimensional score (one per I-vector axis)
  • Magnitude: total intelligence volume |v|
  • Balance: entropy-based measure of dimensional coverage
  • Coverage: % of tokens matched to graph nodes
  • Concept Density: average graph connectivity of matched concepts
  • Cross-Dimensional Couplings: which dimensions co-activate

Comparison

Documents can be compared via: - Cosine similarity (directional alignment) - Euclidean distance (absolute difference) - Jaccard overlap (shared active dimensions) - Per-dimension breakdown - Magnitude ratio (relative intelligence volume)

Components

  • Python engine: ivector_inspector.py
  • Web interface: intelligence_inspector.html
  • Graph database: ivector.db (838 primes, 71K edges)
  • Root encoding: nrt_roots.json (NRT-Lang CVC codes)

Status

Layer 0 operational. Web interface functional with embedded lexicon.