The whole thing, really? I'm finding this confusing.

1. Stay within a token limit (e.g., 250 tokens) to ensure the entire list can be generated by ChatGPT.

Why are we telling ChatGPT to stay within its own token limit?

Example:

Original prompt: Create a cute anthropomorphic fox character for a children's story, wearing a colorful outfit and holding a balloon.

• Anthropomorphic fox person ::8. Cute, friendly smile, bushy tail ::6. Colorful outfit, overalls, polka dot shirt ::4. Holding a balloon, floating, clouds ::3. Watercolor illustration, soft colors, gentle shading ::2. Castle in the background ::1.

Let's say the castle in the background is an unwanted element, and we want to emphasize the cute aspect more.

Adjusted prompt:

• Anthropomorphic fox person ::8. Cute, friendly smile, bushy tail ::9. Colorful outfit, overalls, polka dot shirt ::4. Holding a balloon, floating, clouds ::3. Watercolor illustration, soft colors, gentle shading ::2. No castle ::-1.

I don't understand why we're telling this to ChatGPT. Are we not the ones deciding what we want or don't want? How does it know if we want a castle?

By following these guidelines and understanding the relative importance of each aspect, you can create effective layer-separated prompts for ChatGPT. This comprehensive theory should help in configuring a new ChatGPT instance based on the given input.

Are we really also saying this to Chatgpt???