The clearer your question, the better the research and summary can match what you care about.
- Be detailed. Include dates, locations, names, or scenarios when they matter so the model can narrow its focus.
- Add context. Mention what you already know, constraints, or how you plan to use the answer—this keeps the prediction grounded in your situation.
- Be specific. Broad questions get broad answers; precise questions tend to produce more focused, actionable predictions. Instead of asking, "Will Donald Trump run for office again?" you should ask, "Will President Donald Trump run for office again in the 2028 presidental elections?"
More specific, well-contextualized requests generally lead to higher-quality predictions than short or vague ones.
Howling
