We explore the tension between the speed of modern tools and the necessity of slow, human thinking, asking what we should do with the time we save once speed becomes table stakes. Kevin O'Brien shows how to turn manual customer work into scalable features, while Scott Jenson argues that we must intentionally create negative space to critique AI outputs rather than just generating them. Meanwhile, our community debates whether the friction of building a portfolio from scratch is worth it or if the real win is simply publishing version one to start solving real problems.
