The essay explores the interplay of hope, fear, and AI in product development, focusing on the contrast between control-oriented systems and the nuanced understanding derived from collective experience, or mētis. A key point is that while SaaS tools often emphasize legibility—simplifying complex realities into manageable data—they fail to capture the rich context needed for effective decision-making in product development. The author highlights how reliance on these systems can create an illusion of control, which might work in straightforward scenarios like accounting but often leads to problems in dynamic environments where adaptability is essential. The concept of "Rollup Systems" is introduced, illustrating how management seeks neat, aggregated data to oversee operations. However, this approach risks overlooking the intricate, emergent nature of real-world situations. As organizations push for more detailed oversight amid pressures like layoffs and a fractured culture, the reliance on legibility can stifle meaningful local actions. The essay also discusses how AI can shift team dynamics, fostering collaboration and knowledge-sharing, as shown in a study where employees using AI tools built more connections and increased productivity. Contrastingly, there’s a cautionary perspective that AI could also promote a culture of control, replacing the valuable insights derived from local expertise with a focus on standardized data. While AI has the potential to enhance creativity and collaboration, there's a risk that it could further entrench top-down management practices, undermining the very adaptability that teams need to thrive in complex environments. The discussion highlights the necessity of finding a balance between leveraging legibility for oversight and nurturing the rich, localized context that drives innovation.