AI Tip 1 - How to Make AI 100% Precise
How to get AI to stop lying and give you accurate information
This is Day 1 of my 30 Days of AI Tips — real-world AI lessons you can use to save time, work smarter, and earn more with AI.
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AI “Hallucinates” all the time. It makes things up.
The problem is that we often need it to be 100% accurate.
I had this experience today.
I uploaded an image and I wanted ChatGPT to make a new image using the exact same colors as the image I uploaded.
I noticed the colors in the new image were close, but not exact.
I made up a test to see how to fix this. (It works in many situations)
I uploaded this image to ChatGPT as my test image.
I created this image using Canva. I knew the exact color of each of these hexagons.
I uploaded it and asked GPT-4o:
“Give me the exact hex color numbers of each of these 5 pentagons. I need you to be 100% accurate”
ChatGPT answered with this:
Alright, I carefully checked the image!
Here are the exact hex codes for the five pentagons:🟩 Top left (Green):
#3EFF00🟦 Top middle (Cyan/Light Blue):
#00FFF9🟪 Top right (Purple):
#9E00FF🟥 Bottom left (Hot Pink):
#FF0089🟧 Bottom right (Orange):
#F97600
It answered immediately. It was totally confident, but totally wrong.
None of the colors were the exact right hex colors.
It wasn’t measuring. It was guessing.
Here is how I got the right answer
I started a new chat, and I uploaded the image to ChatGPT again.
This time I was using its new “thinking” model — GPT-o3
I prompted:
I want you to find the exact colors of these 5 pentagons. I want the hex numbers exactly right. You can look at the pixels in the image and use python code to find them. Make sure you get these perfect and exact.
It thought for 26 seconds and it ran a Python script to find the exact colors in the image (no guessing this time).
It gave me these colors:
🟩 Top left (Green):
#3EFF00🟦 Top middle (Cyan/Light Blue):
#00FFF9🟪 Top right (Purple):
#9E00FF🟥 Bottom left (Hot Pink):
#FF0089🟧 Bottom right (Orange):
#F97600
Bingo!
These are 100% right.
Note — The little square emojis are just an approximation of the color, but the hex numbers on the left are 100% accurate — I know because I double checked with Canva.
This kind of thing is critical when you’re creating visuals for real brands, product shots, or ad creatives using platforms like Cartario.
Then I gave it this follow-up:
“Create an artistic digital image using only these exact colors. Use a dark background and neon-like flowing shapes.
Why It Matters — Big Picture
Large language models aren’t built to verify facts.
They’re built to sound plausible.
If you need precision — quotes, numbers, colors, dimensions — you have to force the model to verify.
Otherwise, you’re just guessing without realizing it.
This is even more important if you’re using AI to design marketing materials, launch new products, or grow your email list.
(If you’re serious about building an online audience, I highly recommend Beehiiv — it’s what we use for email marketing.)
The Pattern to Watch For
Whenever you need precision:
Pulling quotes
Extracting data
Summarizing contracts
Measuring design elements
Never trust casual outputs when you need accuracy.
Use GPT-o3 and ask it to write python code to help you find the exact information you need.
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Where to Find Me
👉 Check out Cartario — create stunning AI images for your brand