David Jenyns shows how to get consistent behavior from ChatGPT by setting instructions upfront and referencing earlier messages in the conversation. He walks through a real workflow: ask for titles, then request a 200-word overview while someone copies the output into a document.
So if you program it up front and then you keep referencing back what's in the chat, it's like it learns. It's like it's got this big language model and then you give it little bits of knowledge and it keeps customizing, and then everything that's happened in that chat will then be influenced by what's happened earlier in that chat. So we can then say, great, you've now found me the titles. Now, what I want you to do for me next is I want you to write me an overview for this system, and I want it to be 200 words. Then it'll go off and do that, and all the while, the documentation person is copying it from ChatGPT into a text document.
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