
GitHubBenchmarks and evals
JevGuard
A decision runtime with zero-token caching and a calibrator.
Seb4Ez
0Go, Rust, Python, Ruby, Elixir, Swift, PHP and Java clients for Jev, plus MCP servers, gateways and SQL extensions. Each links to its repository.
130 builds · page 3 of 4
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GitHubBenchmarks and evals
A decision runtime with zero-token caching and a calibrator.
Seb4Ez
0
GitHubCoding and code review
Reads a finished coding session and judges each turn.
Zach Hobbs
0ギガビット@ゲームつくるひと
@gigabit_million
これGoogle検索でいいのではと思いながら作ってたけど、Chrome拡張機能でJevで意図で検索できるの作ってる人がかなりいたみたいでJevはGoogle検索より良いケースあるみたい。Jevのユースケースとして良いやつだった
Vintuxai
@vintuxai
Stop settling for mediocre AI outputs. 🤖 Introducing slop-grader: The new Jev-AI CLI tool designed to audit text against your specific rulesets. It’s time to take control of the "slop." 🛠️ Here is the breakdown 🧵 #AITools #ProductivityAI
XSocial feeds
Utkarsh Upadhyay ⚒️
@utk2103
just shipped jev-studio v0.2.0 @typesafeai Jev in one pip install - MCP tools for Choice / Noul / Score - `jev` CLI now with dry-run provenance - ready-made prompt libraries + slash commands for every cookbook - Claude Code + Codex plugin manifests pip install jev-studio
XSDKs and integrations
同語 Jackson
@t0ng7u
Jev is live in New API now! Choice. Score. Noul. Structured judgments that drop straight into code. Same TypeSafe SDK. Point it at your New API gateway. One plugin. No rewrite. newapi.pro/zh/plugins
XSDKs and integrations
AMIT RAWAT
@sahajamit
I built a Chrome extension that judges every post in my feed before I reach it. READ, MAYBE or SKIP, in about 300 ms, using Jev by @typesafeai. No scripted rules, no selectors, no LLM. Real time, my X feed:


GitHubSDKs and integrations
A local visualiser: every Jev call your code makes, live.
andududu
61
GitHubSDKs and integrations
Uncertainty-aware pattern matching and control flow for Effect.
doeixd
15

GitHubAds and marketing
Millisecond viral hook telemetry, in a Chrome extension.
ehui1226
22
GitHubSDKs and integrations
A Swift 6 bridge from Apple's Foundation Models to Jev.
Peter Friese

GitHubEcommerce
While you shop, Jev guesses the seller's working hours culture.
littlewindy123
8
GitHubSDKs and integrations
Typed decisions from language models, as a Swift package.
Mattt
16
GitHubSDKs and integrations
A Rust, Jev-compatible /v1/systemone engine, one prefill per judgement.
Yijun Yu
17



GitHubAgents and browsers
Turn a prompt, or the code that runs one, into a Jev decision.
sumleo
6

GitHubOpen source
Typed decisions in the browser: one state, any number of options.
Nico Martin
41


GitHubSDKs and integrations
Semantic decisions as ordinary Ruby: feels?, decide, score.
Qew7
20

Alex Volkov
@altryne
This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run! Like, literally, 1 second to take my Claude session from nearly 1M to ... 86K tokens! 😮 Ask your claude to install it and be amazed Use this prompt ``` Install, and configure : https://github.com/tamaratran/fast-jev-compaction ```

GitHubAgents and browsers
Desktop control from the accessibility tree, with Jev picking the operation.
Lahfir
1.8k
GitHubCoding and code review
Codebase search by sending a hundred walkers through the file tree.
Ellipsis
100

GitHubDocuments and OCR
A Rust dataset sifter that keeps clean rows verbatim and drops the rest.
Akash Priyadarshi
Vaishnavi
@_vmlops
Someone built a way to run Jev on Cloud Run with an RTX PRO 6000. ~47s cold start. ~117ms end-to-end. 100+ req/s at concurrency 32. And somehow, they turned it into Snake, Dino & Tetris 💀 Jev is getting real interesting
Pydantic
@pydantic
Whichever new model has you most excited, Pydantic AI has you covered. Claude Opus 5.5 from @AnthropicAI and GPT-6 Sol and Luna from @OpenAI, supported on launch day. And Jev from @typesafeai, not even a week old. Upgrade, then change one string. github.com/pydantic/pydan…
B.AI
@BAI_AGI
📢 TypeSafe AI · Jev Is Now Live on http://B.AI API As the first System One model from @typesafeai, Jev is built for fast, structured decisions inside software. It does not generate text: send app state plus a typed question, and get a typed decision with probability and confidence—no JSON prompting, no output parsing. It evaluates Choice, Score, and Noul questions in parallel, responds in about 70–500ms, and costs $0.042 per million input tokens (output free), making it a fit for ticket routing, moderation, risk scoring, and agent branching. Now available on the http://B.AI API (access via Jev-1.13.0 or Jev-Latest)! 👉 Try now: https://chat.b.ai/chat 🔗 Learn more: https://docs.b.ai/llmservice/models/jev-1.13.0/
XSDKs and integrations
mindshub
@MindsHub
Jev, TypeSafe’s decision model, joins MindsHub's free tier. API docs: docs.mindshub.ai/inference/deci…
XSDKs and integrations