Train your judgement
The article discusses the importance of developing judgment in animation design, particularly in the context of AI-generated content. It emphasizes the need to discern quality in animations and articulate reasons for preferences. Through various exercises, readers can practice identifying better animations and understanding the nuances that contribute to a more polished user experience.
- ▪AI can generate animation code but lacks the ability to determine what feels right.
- ▪The article provides exercises to help readers improve their judgment in animation design.
- ▪Readers are encouraged to articulate their choices to enhance their design skills.
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Story provenance
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Emil Kowalski |
| Canonical URL | https://emilkowal.ski/ui/train-your-judgement |
| Publication time | Wed, 20 May 2026 05:54:29 GMT |
| Retrieval time | 2026-05-20T06:05:00.300Z |
| Last seen | 2026-05-20T06:05:00.300Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
AI can write animation code. What it can’t do is know what feels right. It produces motion that works, but feels mediocre, and if you can’t tell the difference, you’ll ship it. You’ll settle for good enough, and that’s not good enough. This article trains your ability to spot what’s wrong, name it, and fix it. Each exercise shows two animations side by side. Your job is to pick the better one, write down why you chose it, and then see my breakdown. Putting into words why something feels right trains your ability to articulate your judgment, a skill that will be incredibly valuable in the AI era.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Emil Kowalski.
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