Researchers have made significant progress in leveraging AI to tackle complex economic problems, specifically in the realm of public goods. A recent study utilized an open problem from the 2025 EC paper "Stable Menus of Public Goods" to investigate the efficacy of various AI-for-EconCS research workflows1. The experiments focused on three key questions, including the impact of human intuition on prompts, the benefits of automated multi-turn interaction, and the comparative performance of large language models (LLMs) versus human PhD students. The findings shed light on the potential of AI-enabled approaches to drive progress in economic research. This matters to practitioners because it highlights the potential for AI to augment human capabilities in addressing intricate economic challenges, ultimately leading to more efficient and effective solutions.