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Convert LLM prompts to Jev prompts
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- Updated Sep 2026
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CommunityJev Tools & CLIs
LLM To Jev
Static web tool that finds bounded decisions in GPT, Claude, or Gemini prompts and proposes Jev Choice, Score, and Noul questions with SDK exports.
- Stars
- 5
- Language
- JavaScript
- License
- MIT
- Published by
- Community
- Author
- alexwestco
- Last verified
- Oct 2026
About this project
Turn decision-shaped LLM prompts into proposed Jev primitives. Try the live demo · Read the Jev docs · Contribute. LLMtoJev finds bounded decisions inside prompts written for GPT, Claude, or Gemini and proposes Jev Choice, Score, and Noul questions. It is designed for classification, scoring, routing, and yes/no judgments that do not require generated prose.
Quoted from the project's README. Read the full README.
Works forJev for Classification
Used inJev for Software & DevTools
- Languages
- JavaScript
Highlights
- Labels each prompt fully, partially, or not convertible, splitting Jev decisions from generative work.
- Exports ready-to-review examples for TypeSafe JS and Python SDKs plus neutral JSON.
- Runs entirely in the browser with no framework, database, account, or server-side processing.
- Uses deterministic heuristics over a small pattern set; score ranges become ordered Jev criteria.
Watch out
Conversion assistant only with no guarantee of equivalent behavior; generated instructions and criteria must be reviewed before production use. Copy reviewed against the repository README on 2026-10-04, not from running it.
Questions about this entry
Short answers drawn from the linked project or page.
No. It proposes candidates with suitability and compatibility labels using deterministic heuristics over a small pattern set. Treat the output as a starting draft and review instructions and criteria before production.
The converter splits them out. Writing, summarization, translation, and other generative work must stay with an LLM; only bounded classification, scoring, routing, and yes-or-no judgments are proposed as Jev questions.
No. It is a static page with no framework, database, account, API, or server-side prompt processing, and Node.js 20 or newer is the only requirement, with no dependencies and no build step. TYPESAFE_API_KEY is read from the process environment for the optional live smoke test and is never stored or printed, so the tool itself is fully usable without one.
JavaScript and TypeScript through the TypeSafe SDK, Python through its SDK, Ruby and Go plus cURL through the HTTP API, and a neutral JSON representation, with a compiler test suite included.
Clone the repo and run npm run dev, which needs Node.js 20 or newer and has no dependencies or build steps, then open http://localhost:3002. Everything runs in the browser and the site can be hosted on any static file host.
MIT, copyright Alex West. It is a conversion assistant, not a guarantee of equivalent behavior, and the compiler uses deterministic heuristics rather than an LLM or evaluation model.
Ready-to-review examples for JavaScript/TypeScript using @typesafe-ai/sdk, Python using typesafe-sdk, Ruby, Go, and cURL through the HTTP API, plus a language-neutral JSON representation.
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