How to Build A Self-Improving System with Claude

I've been obsessed with building my own self-improving system with Claude code. And after studying Andrej Karpathy, the Anthropic team, and running my own system, I've identified a five-step build framework that lets anyone create a self-improving system with Claude code. Today, I'm walking through all five steps, exactly how to implement them, and the lessons I've learned from

teaching hundreds of people the same system. Step one is base, create the framework for improving. Before you do anything, you need to create a project. This is where you store all the data so you can enhance it over time. To create this project, there are two parts. One, a knowledge base where you store the

data, and two, the skills that let you work 10 times faster. So, part one, the knowledge base. Andrej Karpathy went viral for his concept called LLM knowledge base. I have videos on my channel diving deep into this, but the concept is fairly simple. You have a raw folder, which includes any raw resources

you ingest. For example, this could be a call transcript you record. And then you have a wiki folder, which references files in your raw folder to help AI know where to look. Think of this like a table of contents in a book, so AI can locate information without reading the entire book. Here's a prompt, which will

help you set this up from scratch or in an existing project that you're currently working on. And to enforce this, we'll update the claude.md file to explain how it's all set up. This file essentially serves as a consistent reminder to Claude about the framework. Part two is skills for repetitive tasks. If you're doing the same thing twice