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In your experience with GenAI, how has refining a prompt drastically changed the output quality?

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Sarah Philbrick
PMI Team Member
Director, Learning Design & Development| PMI Asheville, NC, United States

With Generative AI, iteratively refining and optimizing prompts can lead to better AI-generated results. This may involve adjusting the specificity or clarity of the prompt to increase relevance and accuracy of results.

What examples do you have of how improving a prompt drastically changed the output quality?  What specific changes did you make that led to the improvement?

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OLUWAROTIMI OLUWATOYINBO Project Engineer| Newfoundland and Labrador Hydro St. John's, Newfoundland, Canada

I have discovered that refining a prompt can completely transform GenAI output. A vague request often produces generic or shallow results, but adding structure, constraints, and intent can shift the response from passable to genuinely useful. Even small adjustments- clear context, desired format, or step-by-step reasoning - can turn an unfocused answer into something precise, actionable, and aligned with my goals.

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