Saber Chess Coach
An AI-augmented chess coach that revealed—and helped solve— a deep problem of positional drift in reasoning systems using ladder logic and production-style root cause analysis.
I do not just write code; I build architectures. Below are the current systems I am developing—ranging from recursive web environments to cognitive learning frameworks.
An AI-augmented chess coach that revealed—and helped solve— a deep problem of positional drift in reasoning systems using ladder logic and production-style root cause analysis.
A local-first performance tool inspired by Process Lasso, tailored for gaming environments like Star Trek Online, with CPU affinity, rule-based behavior, and evolving features.
A planned advisor that reads combat logs, applies a YAML rules engine, and suggests build improvements for high-end STO gameplay based on real performance data.
Status: Live / Iterating
A "Recursive Artifact." This website is not just a portfolio; it is a living demonstration of the AI-Augmented workflow. It was architected via a three-node synthetic system (Claude for Code, ChatGPT for Logic, Gemini for Synthesis).
Status: In Development
A series of Python scripts and conceptual models designed to translate Quantum Gate Logic (Hadamard, CNOT) into visualizable metaphors for classical developers. Exploring the bridge between "Bit Depth" and "Qubit Dimensionality."
In the Bridgewalker philosophy, a method is as valuable as a codebase. These are the intellectual products I have shipped.
Status: Published
An eight-step meta-cognitive protocol for learning complex systems. It formalizes the process of "Anchoring in Reality" and "Climbing the Layers" to move from physical observation to abstract mastery.