Build a Self Improving Claude Knowledge Base
Paul J Lipsky · 2,835 words · 14 min read · EN

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When most people use tools like Claude Co-worker or Codex, they build a static system, something they have to constantly feed before it gets any smarter. But, there's a way to build a knowledge base that improves itself, one that proactively gets smarter every single day without you having to do the work. Mine, for instance, forms
connections between all my scattered ideas every night while I'm sleeping. And that has led to real breakthroughs in my business and in my health. And it's turned my agent into a true AI system that's more powerful than anything you could go out and buy. And here's the best part, this doesn't need some
advanced model that hasn't come out yet or some tool you've never heard of. Using Claude Co-worker or OpenAI's Codex and a simple system of files on your computer, you can build a self-improving system like this in a matter of minutes. Let me show you exactly how. This idea originally came from Andrej Karpathy,
one of the most respected people in AI. He calls it an LLM Wiki, but I like to think of it more as a map for your AI. Normally, every time you point your AI at the files on your computer, it has to read through all of them and figure out what they are and how they fit together
before it can help you. Then a week later, if you ask it to do something else for you, it has to do that whole process over again. So, it never remembers and it never gets faster. A map fixes that. Instead of a messy pile of files, your AI gets a clean map of
everything you know with all the connections already drawn in. So, it doesn't have to figure out your system every time you chat with it. It just looks at this map and knows instantly what it needs and where it lives. Now, this looks a little bit intimidating, but the best part is your AI will build
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