A large prompt (10k tokens) is being sent every time a user asks a simple "Yes/No" question. How would you optimize this to save 90% of your API costs?

In an API inference call, what is the functional difference between the System, User, and Assistant roles?

LLMs are notoriously bad at following "Write exactly 100 words." How would you design a workflow to strictly enforce a character or word limit?

Explain the "Reflection" pattern. How can asking a model to "review your own work for errors" before showing it to the user improve quality?