How Engineers Can Use ChatGPT to Improve Their Prompts
- Patrick Law
- Jul 29
- 2 min read
Writing clear prompts for engineering tasks can be frustrating — especially when you’re dealing with calcs, inputs, or templates that others will reuse. There’s a simple way to get better: let ChatGPT rate your prompt.
Yes, rate it — like a rubric. It works.
Strengths of Using Prompt Ratings:
Objective Feedback: Instead of guessing, you get structured insight from the AI on clarity, completeness, and specificity.
Built-In Coaching: Asking “How can I make this a 10?” often results in a full rewrite — better phrasing, better structure, and fewer misunderstandings.
Reusable Quality: Prompts that score higher tend to be cleaner, more reusable, and easier to turn into templates for future engineering use.
No Extra Tools Needed: It’s all done within ChatGPT, using natural conversation.
Limitations:
The rating system is not standardized — a “7” or “8” doesn’t mean the same thing every time.
Feedback may sometimes be vague unless you follow up with specific questions.
It works best for functional prompts (calculations, data extraction, report generation) rather than creative tasks.
How We Use It at Singularity:
In our engineering automation workflow, we regularly build prompts for calculations like pump sizing, heat exchanger performance, and pressure drop analysis. Each of these needs to be clear enough for AI to execute — and clear enough for another engineer to read.
We now include this rating step in our internal checklist. After drafting a prompt, we ask ChatGPT to rate it, review the feedback, and optionally let it rewrite the improved version.
This gives us cleaner outputs and faster iteration — especially for workflows we’re automating into GPT tools.
Conclusion & CTA:
If you're already using ChatGPT to run engineering calculations or build reusable prompts — start rating them. You’ll get tighter instructions, better results, and clearer automation pathways.
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