NIH researchers have introduced GeneAgent, an AI-powered large language model system that improves gene-set function prediction accuracy by autonomously verifying outputs against expert-curated biological databases. By reducing hallucinations and ensuring factual correctness, GeneAgent advances gene-set enrichment analysis, aiding the interpretation of complex genomic datasets. This innovative method, detailed in Nature Methods, offers new robustness for bioinformatics in systems biology and functional genomics.