Rushing a JAMIA submission and unsure how to disclose AI use without risking compliance? In this lesson, you’ll learn to craft a precise, journal-aligned LLM use statement that is transparent, auditable, and fully COPE/ICMJE compliant—from framing scope and tool versions to authorship, originality checks, and data privacy. You’ll see a clear template, scenario-based examples (editing, ideation, code drafting), and a submission-ready checklist with pitfalls to avoid. Surgical, defensible, and editor-ready—so you can move from draft to submission with confidence.