It is tempting to treat prompting like a magic incantation — the right combination of words that unlocks a better answer. In practice, the biggest jump in output quality comes from something much less exciting: saying exactly what you mean.
A prompt that names the file, the expected behavior, and the constraint that matters will usually beat a longer, more “creative” one that leaves those things implied. The model is not reading your mind; it is reading your sentence.
What actually helps
- State the file or component you mean, not just the feature name
- Separate what should change from what should stay the same
- Give one example of the desired output when the shape matters
- Say what “done” looks like, not just what to start
None of this is exotic. It is the same clarity you would give a new teammate on their first day.
