A new paper proposes a three-step approach to improve the evaluation of AI in knowledge work, emphasizing the need for benchmarks that accurately reflect real-world tasks and settings. By aligning benchmarks with specific work activities and products, the study aims to enhance the reliability of AI performance assessments in various industries such as coding and healthcare.