The traditional to-do list often masks the complexity of tasks, resembling a thin catalog of items with substantial work hidden below the surface. Recent advancements in AI are shifting this dynamic. Tools like Vibe Kanban, Gastown, and Conductor provide software developers with Kanban boards that visually represent completed tasks. These tools simplify the workflow by transforming tasks into outputs, making the middle steps of the process less visible. Karri Saarinen from Linear emphasizes this change, suggesting that the focus now lies on defining clear intentions and ensuring that the results align with those goals. Historically, the middle phase of computer work—designing, coding, and editing—has consumed the most time and resources. However, as AI capabilities grow, they increasingly handle these middle tasks, allowing developers to prioritize planning and evaluation. Gergely Orosz recalls a time when he wished for the ability to code while commuting, a feat that now feels achievable. This evolution raises questions about how to effectively communicate ideas to AI, whether for software development, design, or creating presentations. With design taking on greater importance, the clarity of intent becomes critical for productivity. The shift from to-do lists to "done" lists reflects this trend, indicating a more efficient approach to work. As AI continues to evolve, it fundamentally changes how we think about and execute tasks, pushing us to refine our communication and planning processes.