Beyond Prompt Engineering: Building a Personal Knowledge Engine with Jupyter and Local LLMs
We’ve all used ChatGPT to write a function or debug a regex. But that’s just the tip of the iceberg. The real power of Large Language Models (LLMs) isn’t in the “chat”—it’s in the integration. As I explored in my 2025 series on Jupyter and AI, the real value of these tools comes when they are part of a structured thinking process. By combining the interactive execution of Jupyter Notebooks with the reasoning power of Local LLMs, we can build something much more powerful: a Personal Knowledge Engine. ...