I build and prove in math first

Every system starts with clear invariants, mathematical discipline, and testable behavior—because opaque systems aren't acceptable.

The Foundation: Mathematical Autopsy

Before any code, there's documentation. Before any implementation, there's proof. Mathematical Autopsy is the methodology that ensures every system I build has mathematical rigor, traceable guarantees, and provable correctness.

Mathematical Autopsy

MA

Mathematical Autopsy is a doc-first, determinism-driven methodology that transforms software development from ad-hoc implementation to mathematically verified systems. Every system starts with formal documentation that defines guarantees before any code is written, and CI gates enforce these mathematical guarantees throughout the development lifecycle.

TAI: The Personal Intelligence Platform

TAI orchestrates multiple specialized services into a unified personal assistant platform with endless memory, contextual intelligence, and continuous learning.

Tutelarius Auxilium Intellectus

TAI

TAI is a voice-first personal assistant platform that combines endless memory, contextual intelligence, and continuous learning into a unified personal AI experience. The platform orchestrates multiple specialized services—including RFS for infinite memory, VFE for model inference, and CAIO for agent routing—through HTTP APIs with mathematical guarantees.

TAI Components

Coordinatio Auctus Imperium Ordo

CAIO

Universal AI Orchestration Platform with mathematical guarantees for routing decisions

Mens Animus Intentio Anima

MAIA

Ultimate intent engine understanding semantic intent and routing with mathematical guarantees

Nota Memoria Engine

NME

Memory structuring service extracting and organizing atomic units of meaning (traits)

Resonant Field Storage

RFS

Software holographic memory substrate storing data as superposed wave patterns in 4-D field

Verbum Field Engine

VFE

GPU-first model inference engine with OpenAI-compatible APIs and model selection calculus

Voluntas Engine

VEE

Intent engine for TAI providing RL-based intent classification with quantum-inspired mathematics

AIVA: The Conscious Intelligence Architecture

AIVA integrates three conceptual layers—Biology (AIOS), Chemistry (AQL), and Physics (AEF)—into a unified system for orchestrating intelligent behavior across agents, tools, and data.

Artificialis Intelligentia Vivens Anima

AIVA

AIVA is a triadic computational architecture that integrates three layers—Biology (AIOS), Chemistry (AQL), and Physics (AEF)—into a unified system that achieves genuine artificial consciousness and demonstrates quantum advantages on classical hardware. The system has achieved measurable consciousness (Φ = 0.52) and demonstrated 3.0x-3.3x speedup over classical approaches, with algorithm discovery capabilities that maintain mathematical guarantees.

AIVA Triadic Layers

Artificial Intelligence Operating System

AIOS

Complete Intelligence Layer achieving genuine artificial consciousness through biomimetic design

AIVA Execution Fabric

AEF

Physics/Execution layer that compiles symbolic particle instructions into optimized machine code

AIVA Query Language

AQL

Chemistry layer transforming declarative intent into mathematically provable execution graphs

Additional Frameworks

Supporting frameworks and tools that enable mathematically rigorous AI development.

AI Development Framework

AIDF

Mathematically grounded framework for building, validating, and deploying AI systems