Terminal-Bench-Science is a new evaluation framework that tests AI agents using real-world scientific research workflows. By shifting the standard-setting power from model developers to researchers, the benchmark ensures AI capabilities are measured against practical scientific needs. This approach prioritizes actual research utility over theoretical model improvements.