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Showcases and field notes

Short demos, guides, and builder reports show what was tried and observed. Treat reported numbers as starting points for your own tests.

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A SQL WHERE Clause for Taste

Worked DuckDB/VGI example ranking Hacker News stories with Jev Noul judgments, including SQL, result distributions, and token usage; story titles and URLs are sent to TypeSafe, and the reported timing and cost describe one run rather than an accuracy evaluation.

awesome-jev-prompts

Independent bilingual (English/Chinese) CC0 catalog of 43 Jev Choice, Score, and Noul question-design patterns plus 10 anti-patterns, with templates, sources, threshold notes, and failure modes; examples and thresholds still need evaluation on your own data.

Jev by Example

Ten MIT-licensed JavaScript exercises for decisions between agent steps, pairing Jev Choice, Score, or Noul questions with explicit application policies, hand-authored response fixtures, and simple baselines; offline demos need no key, while opt-in live runs send case state to TypeSafe, and the project has not yet verified live Jev outcomes or accuracy.

Jev Web Analyzer

Inspectable Next.js demo that fetches public webpage Markdown, sends bounded state to Jev through Vercel's hosted Gateway, and exposes Boolean, Choice, Score, probability, and streaming results; live analysis requires both configured credentials.

Jev with OpenCode

Independent guide contrasting TypeSafe's Jev-writing skill with community MCP and direct action-gate paths for OpenCode, including their different keys and configuration; Jev is not the coding model, the running tools send judged state or action context to their configured endpoint (the direct gate defaults to an unaffiliated hosted gateway), and that gate fails open on errors.

jev-agent-skill

Claude Code / ZCode skill that offloads small judgments (classify/route, batch screening, scoring, compliance pre-checks) from the main model to Jev on OpenCode Zen's free /v1/systemone endpoint; bundles a zero-dependency jev.py caller with retries for the gateway's transient 500s, a WAF-safe User-Agent, GBK-pipe-safe stdin handling, SKILL.md auto-trigger rules so agents invoke it unprompted, and a production e-commerce comment-triage case study; adapted from the official typesafe-ai/skills SKILL.md (MIT).

jevbooks

Bilingual gallery of open-source Jev projects in which Jev itself gates and tags every listing from the README, with the probabilities printed on each project page, plus sixteen design patterns read out of ten codebases, each with the recognition question the pipeline sends; the site’s own source is not public, pattern tags are README-based rather than hand-verified, and the ask box sends your text to Jev and a DeepSeek model.

laya.tools

Independent directory of projects built on Laya, the Apache-2.0 open typed-decision model, imported daily from GitHub, npm, Hugging Face, and X, moderated, and browsable by platform and use case; unofficial and not affiliated with ConvAI Innovations or TypeSafe, it covers the Laya ecosystem rather than Jev itself apart from a Laya vs Jev comparison page, and the site promotes a hosted Laya API.

Learn Jev end to end

MIT-licensed course of 12 Python notebooks that puts Jev inside a hand-rolled LLM agent loop as router, tool-call guard, done gate, and judge across 13 use cases checked against labeled fixtures, and compares Jev with two LLMs asked the same typed questions through system-one-adapter; tools are read-only or dry-run, and results come from one committed run, including the cases where the LLMs did better.

Milvus Search with Jev

Nine runnable Python notebooks combining Gemini embeddings, Milvus retrieval, and Jev decisions for reranking, filtering, search stopping, routing, cache reuse, curation, guardrails, and evaluation; examples use synthetic data, send embedding inputs to Gemini and judgment text to TypeSafe, and are not quality benchmarks.

typesafeai.app

Independent directory of public Jev capabilities: each record states what Jev was shown doing, links to its public sources, and carries an evidence level (author-reported to editor-reproduced) and an Official or Community label; unofficial, not affiliated with TypeSafe, and metrics remain as their authors reported.

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Every listing comes from the README. Inclusion is not an endorsement.