Mike Bal, Head of Product and AI at David’s Bridal, shares insights on creating a seamless AI product management (PM) workflow using tools like Cursor and Claude. He emphasizes the importance of an integrated operating system for PMs, which reduces the constant context switching between different applications. This unified approach allows PMs to streamline tasks, such as checking JIRA tickets or comparing Figma designs, all from a single interface, thereby maintaining a flow state and improving efficiency. Bal introduces the concept of an "AI native PM," who thinks in prompts rather than just relying on tools. This mindset shift encourages PMs to break tasks into steps and effectively communicate those requirements to AI systems. He also highlights the need for separating research and quality assurance from core workflows to avoid contaminating the operating system with inaccurate information. By using tools like Manus for research and keeping validation processes distinct, PMs can ensure higher quality outputs. The article outlines the Model Context Protocol (MCP), which connects AI tools to various APIs without manual integration. With MCP, Bal illustrates how PMs can manage projects more effectively. For instance, while planning a wedding app, he can manage JIRA issues, Figma designs, and CMS migrations without leaving his workspace. This setup not only boosts productivity but also allows for better contextual memory management, enhancing the overall project experience. Bal’s insights suggest a significant shift in how product managers can leverage AI to optimize their workflows and decision-making processes.