The olmo-eval workbench provides a standardized framework for testing language models during development. It integrates diverse benchmarks to identify specific model weaknesses before full deployment. This tool streamlines the iterative loop for AllenAI and other researchers. It offers a practical way to track performance gains without manual testing overhead.