A four-step, AI-aware workflow to tame the literature flood

A Nature Careers feature by Shea Andrews outlines a four-step, AI-aware approach to handling the ever-growing literature: Discovery (passive feeds and newsletters plus AI-assisted searches), Triage (filtering titles/abstracts and saving non-immediate work with topic tagging), Skimming (grasping the research question and main findings with minimal notes), and Deep Reading (detailed notes for papers used in research or teaching). It emphasizes using AI for literature management without letting it replace judgment, cautions about hallucinated citations, and suggests this framework as a model for training students and staying current.