Elliott Spira's article discusses the challenges and strategies for measuring the return on investment (ROI) of generative AI (GenAI) tools in research and development (R&D) settings, particularly highlighting GitHub Copilot. As organizations adopt AI tools to enhance productivity, they face difficulties in accurately assessing their impact, given the abundance of options and associated costs. The article emphasizes the importance of using internal developer portals to track key performance indicators, such as throughput and stability, by leveraging DORA metrics to evaluate AI tools' effects on software development pipelines. These portals help organizations manage tool sprawl, pilot GenAI implementations, and reduce the chaos AI might introduce. Through small-scale pilots, teams can better understand the impact of GenAI tools, comparing AI-assisted teams with control groups. Ultimately, the article argues that internal developer portals are essential for effectively integrating and assessing GenAI tools, ensuring that human developers remain central to the development process while maximizing AI's potential benefits.