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Large Language ModelsAI Coding AssistantsZenn AI/MLPublished: Oct 18, 2026, 10:00 JST

Vague animation prompts fail Claude and ChatGPT, Zenn guide says

Vague animation prompts fail Claude and ChatGPT, Zenn guide says

3 Key Points

  1. What happened

    A Zenn guide says vague prompts like "add a nice animation" carry no spec, so Claude or ChatGPT decides element, motion, duration and distance itself — producing uniformly flashy results — and it prescribes a four-part request: name (Japanese and English), location, numbers, reduced-motion note.

  2. Why it matters

    Without that structure, the same prompt yields a different, over-the-top result each time, so users keep rephrasing without getting closer to the intended motion, the guide says.

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Context & Analysis

The Zenn article is written for people who use Claude or ChatGPT to build landing pages and keep getting motion they did not ask for. It traces the problem to the prompt itself: words like "nice" or "stylish" leave the AI to choose which element moves, which motion to use, how long it takes and how far it travels. The result, the guide says, is a uniformly flashy output rather than a targeted one.

The proposed fix is to name the motion in both Japanese and English, state where it goes, give speed and distance as numbers, and add a note that respects the OS reduced-motion setting. The guide presents this as a repeatable request pattern rather than a one-off trick, and it illustrates the pattern with six common web motions, each paired with a sample prompt and CSS. It also points readers to a separate reference site that lists 32 motions with live samples and adjustable sliders, so a user can settle on a numeric value by eye and copy the matching prompt.

FAQ
What four things should a prompt include to get the intended animation?
The guide lists the motion's name in both Japanese and English, where to apply it, speed and distance as numbers, and a note for prefers-reduced-motion: reduce.
Why does the same prompt give different results each time?
The guide says "nice" contains no specification, so the AI decides every parameter itself and returns what it calls an averagely flashy result.

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