A student wants Gemini to act as a study partner to help them review for a history exam. Which prompt uses the “Persona” and “Act” components of the PARTS framework most effectively?
The prompt that uses these components most effectively is: “You are a history tutor. Create a 10-question multiple-choice quiz about the causes of World War I.”
Writing an effective prompt requires giving the AI a clear role and a specific task so it knows exactly how to behave. This choice perfectly applies the first two elements of the PARTS framework:
- Persona (“You are a history tutor”): This instruction tells the model to adopt a specific professional identity. Instead of giving a generic internet response, the AI pulls from pedagogical strategies, framing its tone and explanations like an educator focused on student comprehension.
- Act (“Create a 10-question multiple-choice quiz”): This directive defines the exact action and format required. It eliminates ambiguity by specifying the quantity (10 questions), the style (multiple-choice), and the precise historical topic (the causes of World War I).
The other three options fail to leverage the framework:
- “History exam review questions” and “Make a quiz for history” are too brief and vague. They lack any assigned persona or structural constraints, which usually results in generic, poorly targeted outputs.
- “Give me some history questions for my exam” states a general need but leaves the topic, role, and format completely open to guesswork.