9h • General Discussion ✅
Normal vs JSON Prompts (Why Your Images Change)
One thing I’ve noticed while working on AI visuals is that not all prompts are equal, even if they describe the same idea
Most people use AI image tools with a normal text prompt like:
“Create a premium, editorial-style image for a brand.”
That can work — but results are often inconsistent
Here’s why -
A normal prompt is more of a suggestion
You describe what you want and the AI makes a lot of decisions on your behalf
A structured (JSON-style) prompt is different
It gives the AI clear rules and priorities
Think of it like this:
A normal prompt says:
“Make this look luxury.”
A structured prompt defines:
• lighting
• camera angle
• materials
• environment
• what must stay consistent
• what must not change
Same idea — very different output quality
Do you need to write structured prompts yourself?
Not really
In practice, structured prompts are best generated by an AI chatbot, not written manually
They’re easy to break, and one small mistake can cause parts of the prompt to be ignored.
The smoother workflow is:
- Explain your intent in plain language
- Let an AI convert that into a structured prompt
- Use that prompt in the image model
This approach leads to:
• more realistic images
• better consistency across campaigns
• fewer “AI-looking” artefacts
• more control for brand work
What’s worked best for me
From testing different tools:
• Gemini / Nano Banana handles structured prompts particularly well
• Normal prompts are great for exploration and ideas
• Structured prompts are better when you need repeatable, professional visuals
Especially for websites, ads or launch campaigns, structure makes a big difference
Most users never need to think about this layer, but once you understand it the quality jump makes sense
Have you ever used JSON?
2
3 comments
Normal vs JSON Prompts (Why Your Images Change)
skool.com/freegroup
Learn to Start, Build, and Scale your own AI Automation Agency
Leaderboard (30-day)
1
+71
2
+67
3
+55
4
+48
5
+39
Powered by