Cookbooks

Reproducible recipes: parallel questions, reranking, guardrails, citation checks, extraction, hierarchical classification.

Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement.

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Introduction, primitives, patterns, cookbooks, HTTP API, and SDK references.
Official
Choice, Score, and Noul: the three question types and what they return.
Official
Paste a state, add questions, and see typed answers in the browser.
Articles & threads
1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring.
Independent experiments on search stopping, memory reranking, and multi-hop relation selection, with implementation links and limitations including private data, unequal sample counts, and a simulated speed illustration.
One direct Jev question per row against 12–14 Jev-scored dimensions with locally fitted weights on three classification tasks: 5,477 test rows, 25,174 Jev calls, $1.43. Decomposition wins on Japanese NLI (0.9076 vs 0.8373) but flags about 25× more hard benign rows as attacks (37.2% vs 1.5%).
awesome-jev (yibie) project preview
A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.
awesome-jev (heyjunpenn) project preview
A verified, community-maintained catalog of 485 open-source projects built with Jev.
awesome-jev-tools project preview
A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.