AI agents can transform the laborious task of conducting literature reviews by automating search, evaluation, and synthesis steps, enabling researchers to quickly outline and draft well-structured reviews. By leveraging “Deep research” modes, these agents crawl hundreds of relevant sources to generate comprehensive initial drafts – complete with introduction, thematic body, and conclusion – while allowing users to refine and validate output, incorporate citations, and build a solid foundation for deeper analysis.
Moreover, integrating AI with your personal library or curated projects enhances precision and relevance: upload your PDFs or reference manager exports, and the agent tailors reviews to your collection, offers critical-review insights on gaps, and supports collaborative workflows through project sharing. This approach not only accelerates the review process but also sharpens the focus and depth of your literature synthesis, making it easier to justify research directions and uncover novel perspectives.
Read the full tutorial: How to use AI agents for literature reviews.
