TypeSafe Jev Roadmap
This page was generated from the jev.pro inventory for TypeSafe Jev Roadmap. Expand it against public TypeSafe docs before treating every sentence as final.
Related search language: Roadmap, Jev decision model, decision automation, unofficial guide.
Official facts that apply
- Evaluation API documented by TypeSafe:
POST https://api.typesafe.ai/v1/systemone. - List aliases:
GET https://api.typesafe.ai/v1/models. - Question types: Choice, Score, and Noul. Mix them in one
questionsmap. - Public list price for jev-1.13 (confirm on the models page): $0.042 per million input tokens; output tokens are free.
- Choice and Score return
confidence. Noul returns onlynoul(0–1).
Question and context
TypeSafe Jev Roadmap sits in the System One loop: you assemble a state, ask typed questions, and let your code act on probabilities and (for Choice/Score) confidence. The reader intent here is to explore roadmap for the Jev decision model. Keep the judgment narrow. TypeSafe’s docs say a good question is a snap decision a knowledgeable person could make in a few seconds — not an open-ended analysis.
Core concepts
Pick the primitive that matches the answer your code can consume: Choice for an unordered set (max 255 options), Score for an ordered rubric (2–10 levels), Noul for P(yes). TypeSafe Jev Roadmap is a product decision you encode in instructions and criteria, then threshold in code. Do not treat a Noul of 0.5 as a “medium” score — it means yes and no are equally likely.
Practical approach
Pin jev-1.13.0 (or the current versioned ID) if you tune thresholds; jev-latest can move. Log the response model, usage.input_tokens, and the full probabilities map. Official Python and JavaScript SDKs read TYPESAFE_API_KEY and retry rate limits. This site does not issue keys.
Risks and trade-offs
TypeSafe publishes workflow evals and a jaggedness note for jev-1.13. We do not invent a jev.pro leaderboard. Measure TypeSafe Jev Roadmap on your own labeled traffic. Keep arithmetic, date math, and counts in code — the jaggedness page says the model is literal and weak at numeric precision.
Disclaimer
This is an independent unofficial site and is not affiliated with TypeSafe AI; official documentation is available at https://docs.typesafe.ai. Never treat jev.pro as TypeSafe official documentation. We do not sell, issue, or proxy API keys.
Sources
Public TypeSafe or adjacent documentation only. No private claims.