GLOBAL INTENT COMPANY
Interactive technical environment for machine learning, scientific instrumentation, computational systems, experiments, and project evidence.
Developed independently by founder and researcher Cory Tortorici. Source code, controlled experiments, null results, architectural iterations, and public research logs are made inspectable across all project nodes.
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Active laboratory research log entries with timestamped records are available in the full research log.
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Optic-Trigeminal / ACmK
GI-Company/optic-trigeminalZero-dependency C++ clinical patient simulation and nursing decision engine backed by Groq AI, Argon2id cryptographic security, and a 5-plane cognitive microkernel architecture designed to make cognitive state, reasoning traces, uncertainty, and human intervention completely inspectable.
Structural Overview
Optic-Trigeminal implements an inspectable clinical decision substrate in zero-dependency modern C++ (C++17/20). It simulates a 6-patient intensive care cohort with physiological vital telemetry (HR, BP, SpO2, temp), handles clinical interventions via Groq Llama 3.3 70B inference, protects medical records with Argon2id cryptographic password hashing, and exposes state through an ACmK 5-plane inspectable architecture.
Canonical Source Artifact
Canonical public source repository: Zero-dependency C++ clinical simulation engine, Groq client, Argon2id security, and Next.js frontend.
Design Invariants & Principles
Sequential Pipeline & Processing Stages
Pause, resume, single-step, replay, freeze, and roll back running cognitive loops.
Tracks confidence scores, risk ratings, active hypotheses, and sensory modalities.
Chronological event ledger recording all internal state deltas for auditability.
Manages candidate hypotheses (e.g. Alternative A: 0.72, Alternative B: 0.19, Alternative C: 0.09).
Binds perceptual observations to external hardware evidence and provenance signatures.
System Components
Custom HTTP/HTTPS client and JSON parser communicating directly with Groq API endpoints without libcurl or Boost.
Simulates 6 concurrent virtual patients with dynamic vital signs, condition deterioration, and medication response curves.
Protects clinical credentials and session state against GPU-accelerated brute force attacks using memory-hard Argon2id.
Coordinates nursing shift handoffs, patient reassignment, medication administration records, and priority triage.
In-memory retrieval mechanism combining sparse keyword matching (BM25) with random projection dimensionality reduction for medical knowledge retrieval.