Structured vs. Creative Outputs in AI Systems: Seeking Feedback

Hi everyone,

I’m currently working on an AI project that divides the main engine into two conceptual areas: an “Exact World” and a “Creative World.”

The Exact World handles structured data and ensures precision in responses. It’s designed to manage information that’s always true and not time-sensitive. For example, facts related to client history or consistent data points. Here, outputs are structured for clear, reliable results.

On the other side, the Creative World brings flexibility and nuanced responses. This part works with system prompts that have instructions for generating responses, including tone and various rules. It simulates user-assistant interactions where the assistant creates responses that capture a more conversational tone. Outputs are text-based and use a bit of extra temperature for a touch of unpredictability and natural flow.

A new message is first analyzed by the Exact World to determine factual details and then passed to the Creative World to identify current user intent and context, which leads to a final response crafted with mixed fixed and dynamic rules.

I’m looking for feedback from the community on this structure. Have you tried a similar approach in your projects? How do you balance structured outputs for precision with more creative text generation that feels human and engaging?

Would love to hear your thoughts, suggestions, or experiences!

Thanks!

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Have you asked GPT how to best prompt it to a) retain the factual knowledge while b) the methodology it need to process the facts and interweave with the client’s preferred narrative/speculative/rememberable/make a decision now type voices?

Should you need beta users to test, Happy to oblige though I’m probably several time zones away.