A multidisciplinary team from Stanford, Princeton, Google DeepMind, and UC Berkeley developed CRISPR-GPT, an AI system integrating large language models with expert knowledge to automate the design and analysis of CRISPR-based gene editing experiments. The platform offers modes catering to users ranging from novices to experts, facilitating protocol generation, troubleshooting, and experimental guidance. The system aims to democratize gene editing by enhancing accessibility and accelerating research workflows, as detailed in a Nature Biomedical Engineering publication.