The way you write your prompt makes all the difference in the analysis you get from Discourse Analyzer. Here are some examples to help you see what works and what doesn’t:
Good Prompt Examples #
- “Summarize the main argument of this article.”
Why it’s good: Clear and focused. The AI knows exactly what to do. - “List three rhetorical strategies used in the introduction.”
Why it’s good: Direct and specific, targeting a certain part and asking for a list. - “Identify any signs of bias in the speaker’s language.”
Why it’s good: Tells the AI what to look for and what to analyze. - “Explain how power relations are shown in the second paragraph.”
Why it’s good: Focuses the AI on a precise aspect and a specific location.
Bad Prompt Examples #
- “Analyze this.”
Why it’s bad: Too vague. The AI doesn’t know what kind of analysis you want. - “Tell me everything.”
Why it’s bad: Overly broad and unfocused. Wastes credits and gives scattered results. - “What do you think?”
Why it’s bad: Not actionable. The AI needs a task or question related to discourse analysis. - “Give me a summary, find all metaphors, and compare with another text.”
Why it’s bad: Tries to do too much in one prompt. The AI will give a less focused answer. It’s better to break this into separate prompts.
Commentary #
With Discourse Analyzer, always give a clear instruction that points to the result you want. Avoid vague language and split complex tasks into separate prompts. This way, you’ll get precise, useful answers and make the most of your credits.
If you’re ever unsure, just ask yourself: Would a person understand what I want if I asked them this way? If not, rephrase your prompt to be clearer and more specific.
