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Build an AI System That Improves Itself
Stanford released its course on self-improving AI agents for free. It is taught by two professors, one of whom worked on Claude at Anthropic. We turned it into something you can use tonight.
The guide covers why asking a model once wastes most of what it can do, a 60-second audit that halves the time your workflows take, and the verification rule that separates a real system from an expensive toy.
You get the full two-hour lecture, 13 custom diagrams, and five ready-to-paste workflow specs.
Who it's for: Anyone who uses AI every day but still treats it as a single chat box. Most of it requires no coding at all.