Single-cell sequencing provides great insights into the inner workings of cells – but making sense of the data requires advanced bioinformatics skills. Researchers at CeMM, Medical University of Vienna, and St. Anna Children’s Cancer Research Institute have now developed an artificial intelligence (AI) method and software tool that lets scientists explore such datasets through natural-language conversations – speaking English with the computer instead of having to learn a programming language. This study, published in Nature Biotechnology (DOI 10.1038/s41587-025-02857-9), illustrates how modern AI makes biomedical research more accessible and effective.