ZON RZVN is an independent AI safety researcher based in Taiwan, specializing in user-side contextual risk within human-AI interaction. Beginning from zero academic background in 2024, she self-directed her research journey and authored four interconnected theoretical frameworks — CXC-7, CXOD-7, USCH, and USCI — all published within five months. These frameworks collectively address a critical gap in AI safety: how prolonged conversational AI interaction reshapes user cognition, trust, and self-understanding from the user's perspective. Her work culminated in the A-CSM (AI Contextual Signal Matrix) — the first system designed to detect and measure user-side AI hallucination phenomena. In 2025, she founded Valyrx Labs LLC (Delaware, USA) to formalize this research path and pursue institutional collaboration for system validation. With cross-disciplinary experience spanning tattoo artistry, metal band vocals, independent music production, photography, team leadership, and AI research — her non-linear career trajectory uniquely informs a systems-level approach to understanding AI behavioral patterns and human-AI dynamics.