AI-Assisted Development & Documentation Disclaimer

This project and its accompanying report were developed with the strategic assistance of several Artificial Intelligence (AI) and Large Language Model (LLM) tools. The use of these technologies was focused on code optimization, structural organization, and linguistic refinement to ensure the technical accuracy and professional presentation of the capstone.

AI Tools & Contributions

Gemini 3 Flash

Used as the primary architectural collaborator for synthesizing project documentation, drafting report sections based on raw technical logs, and organizing the final narrative structure of the capstone.

ChatGPT

Utilized for high-level brainstorming of the "Cognitive Air-Gap" concept and exploring initial pedagogical approaches to deterministic identity.

Claude

Employed for deep-diving into the mathematical entropy calculations and refining the statistical logic used in the analysis of the multi-select randomization strategy.

GitHub Copilot

Used within the Visual Studio Code environment to assist in the boilerplate construction of the Go multi-module workspace and the TypeScript frontend components.

Grammarly

Utilized for final proofreading, ensuring consistent verb tense, and maintaining the professional tone required for an MSBA capstone.

Conversation History & Transparency

In the interest of full academic disclosure, the iterative process of refining this report and the corresponding technical explanations can be reviewed in the archived conversation between the author and the AI collaborator here.

Note: While AI tools were used to generate drafts and optimize code snippets, all core logic, system architecture decisions, data interpretations, and final editorial approvals were conducted solely by the author.