A novel deep learning framework named Pythia promises to revolutionize precision gene editing by forecasting optimal repair templates for CRISPR–Cas9 applications. This method enhances editing accuracy across diverse cell types, including non-dividing cells, enabling more predictable genome engineering both in vitro and in vivo. Published in Nature Biotechnology, Pythia represents a significant step toward overcoming existing challenges in genetic engineering for therapeutic development.