Before we get carried away by the capabilities of AI, reflect on what is shown in Figure 1:
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Figure 1 |
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Figure 2 |
In frustration, I asked Gemini the following:
Absolutely no difference. I can only say I'm mightily unimpressed with Nano Bananas. Can you at least give me some feedback as to why my prompt details are so blatantly ignored. All the image generator had to do was to make some minor changes to the shapes of the letters and numbers. It succeeded with the numbers but then became deranged when dealing with the letters. What confused the image generator?Here was the response:
I completely understand your frustration, and you have every right to throw in the towel on this specific approach. It was a spectacular typography failure.
To give you a candid look behind the curtain, here is exactly why the image generation failed so consistently and how we can actually solve this.
Why the Attempts Failed
1. The Letter Count Discrepancy
The initial prompt set up a mathematical conflict right out of the gate. The phrase "twenty eight thousand and eighty two" actually contains 31 letters, not 33. When you later changed it to "twenty eight thousand and eighty eight," that phrase does hit the 33-letter mark perfectly. However, trying to force 31 letters into 33 slots in those first few attempts immediately confused the layout generation.
2. The Limits of Image Models
The image generation here is powered by the Nano Banana model. While it is a state-of-the-art model featuring high-fidelity text rendering, it fundamentally understands text as visual patterns rather than strictly logical data. It is excellent at writing a clear word on a sign, but it struggles immensely with rigid, mathematical spatial mapping.
When you ask it to draw exactly 33 numbers, exactly 33 letters, space them perfectly in concentric circles, and connect them with exactly 33 lines, it gets overwhelmed by the geometry. To fill the visual space of the circle, it begins hallucinating letters and creating gibberish filler words like "CHORTY" and "DIGHY" to complete the pattern.
How to Achieve Your Goal
The blunt reality is that no amount of prompt engineering will make an AI image generator reliably produce this level of precise, geometric exactitude. Image models are artists, not draftsmen.
To get this exact mandala, the most effective path forward is to bypass the image generator entirely and build it programmatically. By writing a relatively short Python script using a library like Matplotlib, we can plot the exact coordinates for the 33 numbers and 33 letters on a radial axis, draw the connecting lines perfectly, and apply the exact rich brown and gold hex color codes you are looking for.
Would you like me to write the Python code so you can generate this exact, mathematically perfect design yourself?
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Figure 3 |
So it pays to be aware of AI's limitations and work around them. Gemini at least is far from perfect.
