Effective Prompting for Perplexity AI
Lesson 3: Perplexity-Specific Research Prompting Techniques
Lesson Objectives
By the end of this lesson, students should be able to:
- Apply the multi-angle research technique for balanced perspectives
- Use the disagreement probe for honest calibration of uncertain topics
- Build follow-up chains for progressive research depth
- Use assumption-surfacing to discover what Perplexity is treating as given
Lesson Content
The multi-angle technique.
For any topic where perspective matters:
"Research [topic] from [Angle 1]. Then research the same topic from the perspective of [Angle 2]. Finally, identify where these perspectives agree and where they fundamentally differ – and what drives the disagreement."
This is especially valuable for policy topics, business decisions, or any area where stakeholder perspective matters.
The disagreement probe.
"On [topic], what do authoritative sources genuinely disagree about? I want to understand where there is real uncertainty or legitimate debate – not just different opinions, but substantive disagreement among credible sources."
This tells you where to be cautious about treating any single answer as definitive.
The progressive follow-up chain.
Layer follow-ups to go from overview to depth:
- First: broad landscape overview
- Second: "Focus on [the aspect most relevant to my situation]"
- Third: "What would someone with expertise in this area say is the most commonly missed nuance?"
- Fourth: "Based on everything you found, what are the two or three most important things I should read directly?"
Assumption surfacing.
"What assumptions are you making in this research that I should be aware of? What context would change your findings significantly if it were different from what you assumed?"
Perplexity makes implicit assumptions about scope, audience, and context. Surfacing them helps you evaluate whether the research actually addresses your situation.
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