Judgment API that does not generate text, TypeSafe Jev, can
Built a Shopify product-search chat that calls Jev for typed yes/no decisions and probabilities instead of generating text, cutting response time.
The original post, translated
Judgment API that does not generate text, TypeSafe Jev, can speed up Shopify product search chat by returning only typed judgments and probabilities for state → significantly reduces response time. Use case: suitable for UI design that quickly narrows down candidates. Note: design the UI on the premise that the output is not text.
Show the original post in its source language ▾
文章を生成しない判定API TypeSafe Jevで、Shopifyの商品検索チャットを高速化できる state に対する型付き判定と確率だけを返す → 応答時間を大幅短縮 ユースケース: 候補を素早く絞るUI設計に向く 注意点: 出力はテキストでない点を前提にUIを設計する
The post above is a machine translation from ja; the untranslated text is in the fold-out.
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under coding & developer tools. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the coding & developer tools page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post