Mathematical research has seen a significant boost with the integration of AI agents, but effective collaboration methods remain unclear. A recent case study demonstrates the potential of human-AI teamwork in improving bounds on the Grothendieck constant, a mathematical concept capturing the relationship between combinatorial problems and their continuous relaxations1. The study focuses on enhancing the bounds of the Grothendieck constant $K_G$, a value whose precise measurement remains unknown. By leveraging AI capabilities, researchers can refine their understanding of this constant and its implications for various mathematical problems. The successful application of AI in this context highlights the potential for human-AI collaboration to drive progress in complex mathematical research. This development matters to practitioners because it showcases the potential for AI to augment human capabilities in tackling intricate mathematical challenges, potentially leading to breakthroughs in multiple fields.