AI Prompting Method for Engineers That Actually Works

Ever had ChatGPT miss a pressure value or give you the wrong flow rate? 

Engineers are learning the hard way that more AI doesn’t always mean better AI.

Here’s what’s really going on—and the simple method that actually works.

The Common Mistake: Uploading Everything at Once

When you're working with engineering documents—P&IDs, vendor data sheets, project specs it’s tempting to feed them all into ChatGPT at once.

But here’s what happens:

• AI tries to “read” too many pages

• It mixes up sections or forgets what it just saw

• You get partial answers, hallucinated numbers, or zero references

This overload is called context failure, and it’s a built-in limit of how AI works today.

Instead of dumping everything in, switch to this:

1. Upload one document at a time(e.g., just the PFD or the data sheet)

2. Ask for one value only👉 Example: “What’s the minimum flow rate for the feed pump?”

3. Let AI answer—then check if it gives a real reference

4. Repeat for the next value or document

This method is slower but the answers are way more trustworthy. You’re building clarity one prompt at a time.

Why This Works for Engineers

• You avoid hallucinated values

• You get cleaner references

• You reduce rework and double-checking

• You can trace every number back to its source

Perfect for high-stakes environments like process design, oil & gas, or safety-critical systems.

Don’t ask ChatGPT to "fill out a spreadsheet."

Instead, ask it:

“What’s the product temperature in Section 3 of this PDF?” That’s how you control the accuracy.

Singularity teaches engineers how to advance AI workflows like this.

Want to learn how?

Advance your AI skills with our Udemy course https://www.udemy.com/course/singularity-ai-for-engineers/?referralCode=75D71AF4C0EADB8975FF