Does a fixed answer shape mean Jev is always right?

No. The fixed question shape removes format errors, but the digest is explicit that answers can still pick the wrong valid value. Treat outputs as probabilistic judgments and gate side effects in code.

How do I choose between Choice, Score, and Noul?

Use Choice when routing among named options, Score when placing something on an ordered rubric, and Noul when you need a yes-or-no probability for a gate. The digest defines all three with these roles.

Is the browser playground enough for a production decision?

The digest positions the playground as a way to run real System One calls without setup. For production, read the official docs and evaluate thresholds on your own inputs before pinning behavior.

Can I treat these notes as official TypeSafe documentation?

No. The digest states it is a community reference not affiliated with TypeSafe AI, under MIT. Use typesafe.ai and the official docs for access, pricing, and authoritative behavior.

What does a request and response look like?

A POST to /v1/systemone with model jev-latest, a state and questions such as a topic choice (billing or bug) and an urgent noul. The response names the resolved model jev-1.13.0, returns topic billing at confidence 1.0 with probabilities and urgent at noul 0.82, plus input and output token counts.

How do I branch on the answer in code?

Because the answer type is fixed by your request, you branch with plain code, for example if answers.urgent.noul is above 0.7, with no parsing, regex or malformed-response handling.

What common use cases does it list?

Route and classify (send a ticket, email, event or document to the right place), score and prioritize (turn fuzzy judgments into a threshold you can act on), guardrail and gate (auto-approve easy cases and escalate uncertain ones), and extract (turn free text into typed structured fields).

CommunityJev Agents & MCP

Jev TypeSafe AI

Community notes and runnable curl examples for calling Jev's System One API, covering Choice, Score, and Noul questions plus a free browser playground for trying typed decisions.

See highlights

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Published by: Community
Author: codaaiteam
Last verified: Oct 2026

codaaiteam/jev-typesafe-ai

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Unofficial developer notes & examples for Jev, TypeSafe AI's System One model. Try it free: jevtypesafeai.com

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Last pushed: Updated Sep 2026

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About this project

Practical notes and examples for Jev, TypeSafe AI's System One model — the AI that returns typed, calibrated decisions for software instead of text. This is a community reference, not affiliated with TypeSafe AI. For official access and docs see typesafe.ai and docs.typesafe.ai.

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

Tagscommunity github

Works forJev for Classification

Used inJev for Software & DevTools

Highlights

Explains Choice for routing, Score for ordered levels, and Noul for yes-or-no gates with probabilities.
Shows a curl call to /v1/systemone and branching on results with plain code instead of parsing text.
Points to a free browser playground and official docs, and states it is unaffiliated with TypeSafe AI.
Lists route-and-classify, score-and-prioritize, guardrail gating, and extraction as common patterns.

Watch out

Community notes with example requests, not a client library; confirm API shape and pricing in official docs. 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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