What people are shipping with Jev.

Introducing Bespoke Nimble: an open data, open model, open recipe for an open Jev.

Compare Jev with constrained LLM decisions through one interface.

Inspired by @typesafeai's Jev, I built sarvam-jev - an open engine that reads typed decisions straight out of an Indic model's logits instead of generating JSON token by token. S

Made a game using @typesafeai's Jev.

@thenightshipper one for the list: jev-lint, a linter for markdown knowledge bases. it asks jev if two pages contradict or a dated claim reads stale, and writes one report.html. my

A source-backed Jev project directory with a reusable Jev-only GitHub review workflow.

You can have Jev at home now!

@sydneyrunkle @ktech9999 Jev + sealed trace ledgers feels like a natural pair — we're stamping agent tool calls into tamper-evident NEEDLE DROP chains so a harness run leaves check

@typesafeai I rebuilt the idea in the open: OpenJev. Ran it on a GTX 1650. 4GB VRAM. No A100. No datacenter. One shared state. One KV cache. One forward pass. Now the real test:

Introducing Jev Reviewer, a tool designed for systematic reviewers to quickly find and extract the information from research articles.

Proof-of-concept code vulnerability scanner using typesafe's JEV model: https://t.co/mwhGkhpCfj Should be fun to try out on some CTFs. Currently only flags risky/vulnerable but c

JevPot.

@typesafeai Jev is FREAKING SICK!! Playing around with it to create an experimental RLS Linter for @supabase. You can check it out here: https://t.co/DI796mSm3V or view the demo

I know I'm late to the party. But here is my mandatory Jev project. It turns your preferences in AGENTS.md file into something Jev-shaped, so your ai agent can use it sort of lik

TypeScript | 15 stars | Codebase search powered by Jev from @typesafe-ai

Go | 61 stars | mcp connector to give your AI agent direct access to typesafe ai's jev model

Built pi-jev-context: a Pi extension powered by TypeSafe Jev that hides low-value history from model context without deleting your session. Opt-in, reversible, and configurable. K

Let Me Jev That For You — ask Jev a yes or no question.

@every @jackcheng @typesafeai a prose linter. it asks Jev ten yes-or-no questions per paragraph (is the claim hedged three times, does the closer just restate the paragraph, is the

更新しました。 -New- ハエの脳 →キノコ体回路に限定 Jev →未来の限定的な中間supervisor 実コネクトームからキノコ体の一部を抽出して使う限定的な学習実験。 #個人開発 https://t.co/9oBkYWzIFA