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Specifying output type (table, bullets, code) increases clarity and usability.
Request structured output in comparative tables, ratings lists, or pros/cons columns.
Prompt engineering is the practice of carefully crafting and refining inputs, or "prompts," to guide generative AI models toward producing accurate, relevant, and desired outputs.
Role + Task + Context + Format + Constraints.
Check for accuracy, clarity, completeness, relevance, and alignment with instructions.
Explicitly instruct, “Summarize,” “Paraphrase,” or “Translate to [language]” in your ask.
Match platform strengths—Perplexity excels at research, sources, and tables; ChatGPT shines in creative, conversational, and rapid brainstorming. Adapt length and specificity accordingly.
A prompt is your input to an AI model — the clearer and more specific it is, the better the output.
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