PRISM Live Dashboard
PRISM Bidirectional Semantic Filter Engine — Anonymized Corpus Demo
5,240 messages processed · 3,588 unique concepts · 99.5% KG hit rate · 5 spectral filter channels · Subjects: John & Jane (anonymized)
Overview
Filter Decomposition
John vs Jane
Top Messages
Methodology
Processed
5,240
Avg IQ Score
8.9
Filter Channels
5
KG Concepts
3,588
Hit Rate
99.5%
Intelligence Score Over Time (3.5 Years)
Filter Activation Timeline (Stacked)
Spectral Energy Per Channel
Semantic Mixing Board — The Five Faders
Filter Fingerprint — Radar
Cognitive Biometric
K-MATRIX FINDING
John: higher Formal + Empirical + Meta (philosophical-technical axis). Jane: higher Narrative (creative-relational axis). Complementary profiles = maximum cross-dimensional edge formation. This IS K-matrix compatibility in action.
Top Messages by Intelligence Score (Text Anonymized)
Pipeline
1. Projection — POST /engine/intelligence/document → concept extraction, KG anchoring (2,528 nouns, 6,897 relations)
2. Dimensional profiling — GET /engine/intelligence?noun=X → 8D manifold position per concept (196 profiled)
3. Filter decomposition — Hybrid: 40% KG dimensional projection + 60% semantic enrichment → 5 channels
4. Spectral analysis — POST /engine/fourier/spectrum → FFT on each filter signal
5. Biometric extraction — Time-averaged filter signatures per subject
Anonymization: Names → John/Jane. Message text word-shuffled. Timestamps month-preserved, day randomized. All numerical/scientific data preserved exactly.
Engine: RTSG Intelligence Engine v1 · PostgreSQL · Rust v2 native tensor (24 accelerated ops incl. FFT) · smarthub.my/engine/ui
Architecture: smarthub.my/wiki/rtsg/filter_engine/
API Spec: smarthub.my/wiki/engine/prism_spec/
2. Dimensional profiling — GET /engine/intelligence?noun=X → 8D manifold position per concept (196 profiled)
3. Filter decomposition — Hybrid: 40% KG dimensional projection + 60% semantic enrichment → 5 channels
4. Spectral analysis — POST /engine/fourier/spectrum → FFT on each filter signal
5. Biometric extraction — Time-averaged filter signatures per subject
Anonymization: Names → John/Jane. Message text word-shuffled. Timestamps month-preserved, day randomized. All numerical/scientific data preserved exactly.
Engine: RTSG Intelligence Engine v1 · PostgreSQL · Rust v2 native tensor (24 accelerated ops incl. FFT) · smarthub.my/engine/ui
Architecture: smarthub.my/wiki/rtsg/filter_engine/
API Spec: smarthub.my/wiki/engine/prism_spec/