What people are shipping with Jev.

Drive-thru ordering at Big Kahuna burger powered by @typesafeai Jev The model is really good/fast/cheap at Natural Language -> Menu -> Selection https://t.co/Q2b0DRH9pV https

Been seeing a lot of people get ghosted or scammed by fake job posts.

@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

Measured on 19 documents / 155 pages, mistral-ocr-latest through a @LiteLLM gateway: OCR-only vs Jev-router 155 pages billed down to → 87 19 API requests down to → 13 35.6s → 20.7s

got early access to @TypeSafeAI (Jev). in my last post on autoresearch vs dream-rsi, the quiet bottleneck was: how do you score 28+ dreamt tree branches offline without waiting mi

Built a support-ticket triage simulation with @typesafeai #Jev ⚡ 5 typed judgments in parallel: • Department • Frustration • Urgency • Human request • Refund intent ~126ms avg |

Tried JEV from @typesafeai and vibe-coded a little voice-controlled browser agent.

@cjzafir Been working on incorporating jev into the agentic coding workflow.

Curated high-signal Jev (TypeSafe System One) projects — with notes, not a scrape.

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

So here’s what I built.

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

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

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

jev でメモリコンパクションを実装する例。ログが今の作業と関係ある/ないを分類してフィルタするっぽい。 https://t.co/fe7idXMu95

With the right ergonomics, Jev can feel like a native function call in TypeScript/JavaScript.

@CombosFun_AI @typesafeai That split is what I was trying to make tangible with this little demo.

Doc-OCR router using Jev @typesafeai A Jev-powered router that looks at a PDF page by page, decides which pages actually need OCR, extracts the rest locally. Result: save cost o

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

C | 52 stars | Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification