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Category
Academic
AI tools for academic work: summarising papers, searching scientific evidence, and mapping the literature for a review, for postgraduates, researchers and lecturers.
Academic work is mostly reading, and the tools in this section are judged by how well they handle it. Some summarise articles, textbooks and videos into something you can scan in minutes. Others search a body of scientific papers and report what the evidence says. A third group helps you keep what you have read: maps and libraries that show how papers relate to each other and let you come back to them later.
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Can you trace every claim back?
That is the test to apply first. Scholarcy summarises scientific articles and organises your research, so keep the original open beside every summary and quote from the paper, never from the digest. Consensus AI searches scientific papers for evidence-based answers; open the studies behind an answer and sort them into peer-reviewed and everything else before they go anywhere near a bibliography. General assistants such as Claude AI summarise well but should be treated as a reading aid, not a source.
Keeping track of a literature review
Over months of reading, the problem shifts from finding papers to remembering how they connect. Litmaps maps relevant academic articles for a literature review, which shows quickly which papers everything else cites. Whatever tool you pick, keep a record of which papers it read and which it only summarised.
For literature search and research tools beyond the university, see Research; lecturers preparing course material will find more in AI Tools for Teachers.
