The rapid saturation of generative artificial intelligence within American classrooms has outpaced the development of comprehensive institutional frameworks. While traditional pedagogical models relied on manual synthesis, the arrival of large language models like ChatGPT and Claude has redefined the boundaries of student agency. Grassini (2023) argues that this technological infusion presents both transformative potential and significant risks to standardized educational settings. Unlike previous digital transitions, the AI era forces a fundamental reassessment of how knowledge is acquired and validated in an environment where machine-generated content is indistinguishable from human output. Educational institutions currently face a crisis of verification. As students increasingly utilize tools like GitHub Copilot for technical disciplines (Avramovic & Avramovic, 2024) or LLMs for humanities, the traditional essay or coding assignment loses its diagnostic utility. This erosion of acad