data quality question: how do you handle Prompt Engineering?

sam9026

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Sep 5, 2026
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There are several ways to approach Prompt Engineering, so I wanted to compare experiences.

I am particularly interested in data quality and real-world use. I would like to compare approaches that people have actually used rather than just theoretical suggestions.

Are there any settings, tools, or workflow changes that made a noticeable difference?
 
One thing worth trying with data quality question: how do you handle Prompt Engineering? is a controlled comparison around data and quality. Use the same input for each test and note what changes in the output rather than judging from a single run. The original point — "There are several ways to approach Prompt Engineering, so I wanted to compare experiences. I am particularly interested in data quality and real-world use. I would like to compare…" — gives a useful starting point for that comparison.