Organization and readability of mathematical papers prepared with AI

Practical precepts for organizing and explaining mathematical papers prepared with artificial intelligence. The guide addresses contribution and proof strategy, proportionate detail, notation, accurate descriptions of formal and computational support, source checking, and six questions about readability and disclosure. It distinguishes readability assessment from correctness verification and complements the AIM-R public-release protocol without replacing its requirements.