Prompt Tips for ChatGPT
Here's my real prompt: [paste real prompt]. Help me apply real specificity, a real example if useful, and clear real constraints. Specificity is consistently the single highest-impact change you can make to a weak prompt.
Prompt tips for ChatGPT that actually make a measurable difference come down to specificity, real examples, and iteration — not a long list of generic advice, most of which restates the same few genuinely impactful principles in different words.
What this produces
A focused set of tips that measurably change output quality, applied to a real prompt you’re working on, plus a before-and-after showing what a specific tip actually changes in practice. Concentrated on what genuinely matters, not an exhaustive generic list.
Variations
Three ready-to-copy versions for applying genuinely useful prompting principles.
Here’s my real prompt: {paste real prompt}. Help me apply real specificity, a real example if useful, and clear real constraints to improve it — show me what changed and why.
Here’s my real vague prompt: {paste real prompt}. Rewrite it more specifically, then explain what real change is most likely to matter for the output.
Here’s real output I got: {paste real output}. Here’s what’s not quite right: {real issue}. Help me adjust the real prompt to address this specific issue.
FAQ
What’s the single most impactful prompting tip?
Specificity — naming real concrete details almost always produces a bigger improvement than any other single change.
How many tips should I try to apply at once?
Focus on one or two that seem most relevant to your specific prompt’s weakness, rather than trying to apply an exhaustive list all at once.
Is this different from the prompt structure page?
This is more tactical and example-driven, applied directly to a real prompt you’re working on. The structure page covers the broader framework these tactics often sit within.
How do I know which tip to apply to a specific weak prompt?
Describe the real actual problem with your current output, and the iteration version can help identify which specific adjustment addresses it.