I learned about TypeSafe AI "Jev" from a post by Muzaru
Built an agent skill from Jev's public spec to add candidate detection, human-review branching by confidence, and safe defaults into spec-driven development.
The original post, translated
I learned about TypeSafe AI "Jev" from a post by Muzaru Channel, and it looked interesting, so I made an agent skill based on the public spec to incorporate it into spec-driven development (SDD). It supports detection of application candidates, TCO estimation for manual comparison, human review branching according to confidence level, and degradation (Safe Default).
Show the original post in its source language ▾
ムーザルちゃんねるさんの発信で知ったTypeSafe AI「Jev」が面白そうだったので、仕様駆動開発（SDD）に組み込むためのエージェントスキルを公開仕様ベースで作ってみました。適用候補の検出、人手比較のTCO試算、確信度に応じた有人レビュー分岐、縮退（Safe Default）などを支援します。
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 general Jev builds. 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. Browse the full case library for the work it sits next to.
Related Jev cases
Keep browsing: all 1173 Jev cases · more from @hdsh0428 · builders · what Jev is
Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post