AI Deterministic Tester

🧠 The AI that finds the code you didn't know you needed - Sublinear-intelligence MCP server for discovering GitHub leverage

A Recursive Ontological Framework for Cognitive Design, Neurodivergence Modeling, AI Co-Development, and "Structural AI"

Axiom Hive Whitepaper: From Gaslighting to Guarantees - Deterministic AI as Antidote to Probabilistic Harms. Includes strategic intelligence briefing, NIST/SEC RFP response kit, and multi-channel publication materials.

MP/OS is a deterministic, multi-plane orchestration stack designed to make complex AI systems safe, bounded, auditable, and reproducible. It defines strict ingress rules (MPC), deterministic routing (Apex), sandbox diagnostics (MPX), and a family of domain-specific kernels (legal, medical, scientific, educational, tooling)

Constitution of a Deterministic Assistant (CDA-V1.0): Operational and ethical boundaries for AI systems designed as transparent, identity-free tools. Rust-based deterministic AI with provable safety guarantees.

Strategic validation document proving mathematical alignment between deterministic AI strategy and observed market reality. Includes efficiency proofs, architectural comparison, and formal verification.

Quantum-Amplified Core for ultra-low latency, deterministic, provably safe AI with cryptographic security (128-bit FHE). Targeted for high-security applications in defense, finance, and critical infrastructure. Mathematically provable safety, cryptographic guarantees, and zero OS overhead.

Advanced deterministic AI optimization configuration for Comet browser with operator maximization protocol and zero-restriction policy. Symbiotic performance framework for executive intelligence operations.

Four Tests Standard (4TS) - Vendor-neutral specification for verifiable AI governance

Autonomous Compute Engine: Deterministic task orchestration with formal verification, cryptographic audit trails, and provable correctness. Rust-based safety-critical framework.

A deterministic proof-generation framework that connects cultural computation, governance logic, and verifiable cryptographic proofs.

A recursive learning engine that ingests operational metadata (CSV), detects novel patterns, filters out noise, and outputs continuously refined predictions.

Matrix computation framework for deterministic AI systems. Multi-language implementation with Python, TypeScript, and CSS components. Specialized for safety-critical operations.

Deterministic, auditable prototype of the Autonomous Invariant Intelligence loop. Targets decidable domains with propositional logic for zero-entropy outputs via Z3 oracle. Python-based AI framework.