Anticipate the Path: The Simple Reason Rules, Skills, and Agents Work
LLMs finish tasks when you show them the way first. The human almost always holds more context than the model, so an open-ended request is a maze of guesses — while an anticipated path of steps, constraints, and checks turns wandering into walking. Here's why rules, skills, and scaffolding are all the same trick.