Are you tired of explaining the same thing to your AI over and over, only to get a slightly different, slightly wrong answer each time? It's a common frustration that a lot of us are dealing with. What if you could give your AI a permanent 'memory' to remember your prompt, your style, and your goals? And all without writing a single line of code?
This lesson will teach you how to create a structured "notebook" that acts as a powerful, reusable system prompt, making your AI interactions dramatically more consistent, reliable, and efficient.
By the end of this Newslesson, you will be able to design a system prompt notebook to guide a Large Language Model (LLM) for consistent and high-quality outputs.
How we will get there:
Understand what a system prompt notebook is and why it acts like a "No-Code RAG."
Learn the four key sections to structure your notebook for an LLM.
Discover simple techniques for writing informationally dense prompts that an AI can easily understand.
What is a System Prompt Notebook?
Think of a normal prompt as giving your AI a temporary note. A system prompt notebook, on the other hand, is like handing it a detailed instruction manual or an "operating system" it can reference for your entire conversation. The idea or goal is to have the LLM reference an uploaded file first without using code. Essentially this creates a pseudo ‘No - Code’ - Retrieval-Augmented Generation (RAG) system.
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For the res of the NewsLesson:
https://open.substack.com/pub/jtnovelo2131/p/build-a-memory-for-your-ai-the-no?r=5kk0f7&utm_campaign=post&utm_medium=web
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