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Design-time toolkit for using Jev from a coding agent, combining docs, a stdio MCP server, and an agent skill for decomposing judgments into Choice, Score, and Noul.

Stars
4
Language
TypeScript
License
MIT
Published by
Community
Author
simota
Last verified
Oct 2026

About this project

A repository for using TypeSafe AI (System One API, model Jev) from a coding agent at design time. It has three parts. Operational procedures (setup, daily work, incident response, maintenance) are in docs/04-runbook.md. Conventions for agents are in AGENTS.md. Ask your coding agent for a judgment your code needs, and it comes back with a measured design, not a prompt: Everything runs at design time. The output is code and numbers you own; production calls the TypeSafe SDK directly and never depends on the MCP.

Quoted from the project's README. Read the full README.

Highlights

  • MCP server offers question lint, single and batch evaluation for threshold calibration, rerank, taxonomy walk, and cost guard.
  • Skill turns triage, guardrails, reranking, taxonomy placement, and extractor checks into linted questions plus code.
  • Production calls the TypeSafe SDK directly, so shipped code never depends on the MCP at runtime.
  • Lint, cost estimates, code generation, and mocked tests work without a key; paid evaluation runs only on request.

Watch out

Model accuracy and thresholds stay unmeasured until validated on labelled rows, and reranking plus the taxonomy walk need the MCP. 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.

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From the Jev guides

Original write-ups on what this entry is for.

Most Jev accuracy problems are state problems. What belongs in a state, what is a pre-made judgment to leave out, and why naming the slice you ask about matters more than the wording.
Jev Practices & Patterns#state#design#primitives
Read article
A Noul returns one number and no separate confidence. How to read the value, pin its boundary with criteria, split compound questions, and set a per-action threshold that matches the cost of being wrong.
Jev Practices & Patterns#noul#primitives#confidence
Read article
A Score is a weighted position, not a ruler. Why the number can land between levels, why levels are judged separately, and how to combine several atomic scores in code instead of one crowded rubric.
Jev Practices & Patterns#score#primitives#scoring
Read article
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