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When a designer gets access to Jev

Designer's X demo where a natural-language phrase narrows a large icon set to matching icons, with Jev deciding.

Discussiondiscussion

This summary is based on how curated lists describe the project; its README was not available to review.

Overview

In this X post, a product designer shares a 33-second demo where typing a natural-language phrase narrows a large icon set to the matching icons, with Jev deciding which ones fit. According to the list summary, it drew about 4.8k likes, and in the replies the author discusses the icons Jev gets wrong.

It is a small example of decision models used for semantic filtering in design tools.

What the decision model decides

TypeQuestionAnswers
Yes / noDoes this icon match the phrase?(inferred)yes · no

How it works

  1. Type a phrase.
  2. Jev judges each icon against it.
  3. Matching icons are shown.

Strengths

  • Simple, visual use of semantic filtering.

Caveats

  • Social demo; no code linked.
  • Author notes some wrong matches.

At a glance

Type
Discussion
Status
discussion

Use cases and integrations

How curated lists describe it

  • X: a product designer's 33-second demo in which a natural-language phrase narrows a large icon set to the matching ones with Jev deciding which - 4.8k likes and a reply thread where the author discusses the icons Jev gets wrong.

    yibie/awesome-jev

Frequently asked questions

What does Jev decide?

Which icons match a natural-language phrase.

Does it always get it right?

No, the author discusses mistakes in the replies.

Is there code?

Not linked in the available summary.

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