tGiX is Kri Zek’s deterministic algorithm and data layer for structuring supported gameplay evidence into consistent dimensions and trends.
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The quantitative layer that decodes raw gameplay telemetry into 8 standardized cognitive dimensions, transforming chaotic digital action into verified data.
Generic web-trained LLMs cannot ingest 60Hz action streams. tGiX decodes input density, strategic decision branches, and biometric stress into structured metrics.
Quantifies Strategic Planning, Tilt Recovery, Focus Duration, Risk Assessment, Spatial Navigation, Reaction Adaptability, Resource Allocation, and Communication Efficiency.
Captures granular micro-decisions such as APM stability under fire, camera rotation jitter during stress, and inventory re-prioritization velocity.
Integrates real-time heart-rate variability (HRV) telemetry from wearable devices to correlate physical physiological stress with in-game decision accuracy.
| Specification Parameter | Value / Standard | Technical Details |
|---|---|---|
| Ingestion Latency | < 12ms | Sub-frame processing window |
| Input Support | Mouse, Keyboard, Gamepad, Touch, Biometrics | Cross-platform telemetry |
| Output Format | JSON / Protocol Buffers | Structured 8-point vector |
| Validation Base | 370+ Scientific Studies | Peer-reviewed neuroscience |
| API Delivery | gRPC / HTTPS REST | Low-latency streaming API |
Session preparation, reflection, progress, and player-controlled gaming context.
tGiX™Validation, normalization, dimensions, trends, and structured gaming evidence.
TGIThe player-facing multidimensional profile calculated from supported tGiX evidence.
Request developer API keys for game studio, esports, or enterprise recruitment integration.
How the deterministic gameplay-telemetry framework structures evidence.