Research helper: questions, not answers

Use AI to frame research, not to accept facts blindly

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Learning goal

• Create research questions and angles.
• Generate a reading/verification list.

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Why it matters

• AI can suggest what to investigate; you must verify.
• Good questions prevent shallow research.

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Explanation

• Prompt: “Give 5 questions to investigate X, with suggested sources/formats.”
• Ask for counterpoints and pitfalls.
• Build a to-check list (sources/people/data).

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Examples

• Good: “List 5 angles to evaluate tool X for small teams; suggest data to collect; list 3 risks.”
• Poor: “Tell me everything about X” (no scope).

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Guided exercise (10–15 min)

1. Pick a topic; ask for 5 research questions + sources + pitfalls.
2. Create a checklist of what you will verify manually.

Independent exercise (5–10 min)

Run a quick source scan on 2 items and jot findings/uncertainties.

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Self-check

• Questions/angles listed.
• Sources/pitfalls captured.
• Manual verification plan noted.

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Optional deepening

• Safety best practices: https://platform.openai.com/docs/guides/safety-best-practices