Lesson Content

Perplexity is strongest when treated as a cited research assistant. Command-style requests should ask for source criteria, date awareness, comparison, and uncertainty rather than only a fluent answer.

Professional Use Case: A business owner researches AI training competitors and asks Perplexity to compare pricing, depth, and evidence.

Student task: Use Perplexity with practice material you are comfortable sharing. Perform the use scenario below. Copy the first answer into a text editor or notes document. Then write one clarification prompt that tells the AI exactly what to improve. Student task help: Use pretend, public, or low-risk practice material. Copying the first AI answer into a text editor means pasting it into Notepad, Word, Google Docs, or another notes file so you can compare it with your revised answer. A clarification prompt is a short follow-up that tells the AI what to fix, add, remove, or explain. Example clarification prompt: "Make this easier for a beginner, add one concrete example, and show the next three steps as a checklist."

Starter scenario: Ask Perplexity for a sourced comparison of three public resources, requiring source dates and unresolved questions.

Troubleshooting: If the command is unavailable, check whether it depends on a workspace, paid plan, enabled tool, file type, browser/app context, or region. If the output is shallow, add source material, examples, exclusion rules, and a definition of done. If the output contains claims, verify against an authoritative source before using it.

Quality Rubric:

• The command includes enough context to prevent generic output.
• The result is tied to a real deliverable.
• The student records at least one verification step.
• Sensitive data is removed or minimized.