Pretty AI images are the norm, while extraordinary results are a matter of design: This is how DOCMA classifies the difference. A comparison with the same image content illustrates the thought.
According to DOCMA, generating appealing AI images is the norm: The models are trained for that. For an extraordinary result, it is therefore not enough to rely on a prompt formula. Design decisions made and articulated by someone are also crucial.
Appealing is not automatically extraordinary
The distinction in the DOCMA teaser places a different emphasis than the search for a particularly effective prompt. An image can be pretty without thereby becoming extraordinary. According to DOCMA, the difference arises from decisions in the design – and not solely from a specific formula for the input.
This does not mean that prompts do not play a role. Rather, the teaser presents the design decision alongside the prompt: Someone must make and formulate it. What those decisions are in detail, the available teaser does not explain. Therefore, no concrete instruction or list of specific design tools can be derived from it.
An image content entered twice
As an example, the author describes a comparison: He prompted the same image content twice. The first input, according to the teaser, is a sentence naming a market stall, a vendor, and customers in the background. The second prompt is only given as "in 179 ...". What follows is not included in the available text and cannot therefore be supplemented.
The comparison draws attention to the design question behind an input, not to a reconstructed prompt formula. More cannot be safely derived from the described example.
What this means for your image design
For you, DOCMA's classification is an opportunity to look at AI images not only from the perspective of the prompt formulation. Also consider what design decisions you want to express. The practical benefit lies primarily in this conscious distinction: An appealing result is, according to DOCMA, not automatically an extraordinary one. How you achieve the difference specifically is not answered by the teaser.
DOCMA published the article on October 5, 2026.
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