Educators are drafting classroom‑level guidance on student AI use as institutions confront how to integrate large language models into teaching, assessment and academic integrity policies. K‑12 and higher‑ed instructors shared practices such as asking students to document AI usage in portfolios, using targeted prompts for editing rather than rewriting, and leveraging AI for personalized tutoring, per contributors including Sarah Cooper at Flintridge Preparatory School. The practical focus is on transparency, preserving student voice, and designing prompts that limit AI to grammar or scaffolding tasks. For campus leaders and registrars, these pilot practices will inform honor‑code updates, assessment redesign and faculty development to ensure consistent policy and grading standards across courses.