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AI降低构建成本后，原型不等于决策；应先澄清动机、写清推理并达成共识。
While I really like prototypes, because you can convey ideas easier by interacting with the real thing, it’s also important to know when not to do them. Prototypes have this flaw that because everything is already built, and it looks so real, people might assume that all the decisions have already been made. That’s because the building step was the most expensive before AI, but it’s not anymore. So sometimes, it’s better to ask the why first. Why are we making this in the first place? Allow yourself to be slow, write a doc with your reasoning, and only after you are aligned, start prototyping. It all comes down to judgement and taste at the end of the day, whether it’s an animation or an important product decision. You need to develop great taste, it’s more important than ever.
是什么 这是一条关于 AI 时代产品与设计决策顺序的观点。作者并不否定原型，反而承认可交互的真实原型更容易传达想法；但原型过于逼真，也会制造一种“重要决定已经做完”的错觉，让团队在尚未理解问题时就被具体方案牵引。
核心设计 传统流程中，构建成本高，所以原型通常被视为值得投入的验证手段。AI 降低了实现成本后，稀缺资源从“把东西做出来”转向“理解为什么要做、是否值得做以及如何形成共识”。更稳妥的顺序是先写清目标、背景、推理、假设与边界，再通过原型验证交互和体验。原型应是可被质疑的假设，而不是默认获得批准的成品。
关键洞察 速度越快，判断力和品味越重要。好的品味不仅体现在动画细节，也体现在取舍、问题定义和知道何时停止构建。
边界与风险 并非所有项目都需要先写长文档；当交互不确定性本身就是核心问题时，快速原型仍然高效。文档也可能沦为形式主义，关键在于它是否真正帮助团队理解动机、暴露分歧并做出可追溯的选择。