3 Steps to Judge AI Images Yourself

MediumNaomi N. Lab

AI summary focused on the core points of the original article.

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Three Steps to Evaluate AI Images

Set the priority of the image’s goals first
- Essential goals (basic role): Stand out in the feed and make users stop scrolling.
- Optional goals (added value): Inspire trust and make people think, “I want to hire this person for design.”
- After confirming that the essential conditions are met, evaluate the optional conditions.

Turn the article’s core problem into a single visual question
- Trying to compress everything in the article into one image causes information overload.
- Instead of conveying complex content, simplify it into one scene centered on the relationship readers are most likely to question. For example: “How closely should we share work information with AI?”

Compare three options using the same criteria
- Rather than expanding the number of choices, select three representative options that answer the same question.
- Objectively compare them using the same criteria: recognizability/visibility, relevance/alignment, and originality.

Design Communication and Fine-Tuning Tips

Turn intuition into a testable hypothesis: When a style or idea feels appealing, write down why and check whether that reason aligns with the original goal.
Compare texture and tone: Line art, craft styles, character-based approaches, and other visual textures affect how clearly the message is communicated.
Test at mobile and small sizes: Confirm that relationships and contrast remain clear at the actual feed size, removing unnecessary visual elements.

XPLORED View

Evaluating AI images is less about vague personal taste and more like a small design decision process that fixes the goal, visual question, and comparison criteria first.

Good situations for reading

When choosing one AI image from several candidates for an article or social feed
When explaining an image choice to teammates using shared criteria rather than taste

Points to take away

Comparing optional value only after candidates satisfy the essential goal makes it easier to distinguish attractive images from images that actually work.
Keeping the visual question and evaluation criteria consistent—and checking again at a small size—makes comparisons between generated styles fairer.

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