Comment by bsenftner

> Treat it as a naive but intelligent intern.

I've found an amazing amount of success with a three step prompting method that appears to create incredibly deep subject matter experts who then collaborate with the user directly.

1) Tell the LLM that it is a method actor, 2) Tell the method actor they are playing the role of a subject matter expert, 3) At each step, 1 and 2, use the technical language of that type of expert; method actors have their own technical terminology, use it when describing the characteristics of the method actor, and likewise use the scientific/programming/whatever technical jargon of the subject matter expert your method actor is playing.

Then, in the system prompt or whatever logical wrapper the LLM operates through for the user, instruct the "method actor" like you are the film director trying to get your subject matter expert performance out of them.

I offer this because I've found it works very well. It's all about crafting the context in which the LLM operates, and this appears to cause the subject matter expert to be deeper, more useful, smarter.