Tools & apps

Built the ultimate syntax highlighter using @typesafeai Jev (i mean why not). It can highlight any language, even one that I made up.

introducing Unclutter: a smart ad + slop blocker with Jev 🤓 it auto cleans up pages from slop elements: ⬖ ads ⬖ cookie banners ⬖ upsells ⬖ bs dialogs BYOK. open source + free, download below 👇 https://t.co/u3ippda11z

🚨 Open Source Jev BS meter you can use this to analyze any debate / investor call / interview / sales pitch / podcast video fact check live , for example this dario interview cost 60 Jev calls / 111K tokens / $0.0047 https://t.co/3JYfoz8vgL https://t.co/oeXcGmZrVV

Jevで音声対話のターンエンド判定やってみた。発話終了後0.5秒後にJevでターンエンドしたかどうかを判定して、スコアに応じて追加ホールド。 timeout=3.0とか出てるのが追加ホールド時間。Noneは追加なし。elapsed=0.224とか出てるのがJevの処理時間。 まだまだ追い込みがいるけど可能性を感じる https://t.co/Zg9sTgYAnv

built a chrome extension that lets you filter the internet in plain english pick a post, tell it what you don’t want to see, and it filters similar content as you scroll. same rules across sites. powered by jev from @typesafeai . your feed, your rules. https://t.co/AWIxgqDc63

Who said Jev can’t generate words? I gave Jev a 2048 word dictionary to have it work like an LLM by choosing the next best word. It ends up performing at 1.5 characters per second. Just need to benchmark it on ARC AGI next https://t.co/miCB90rBg6

Announcing Jev Detector The world's fastest AI slop detector, built on jev from @typesafeai ~10,000 words scanned for slop in ~2 seconds Best part, its free, no sign up required, enjoy! https://t.co/8mlq6QpFrR https://t.co/glLFOIsPv5

They say you’re six connections away from anyone on Earth. So I tried Jev from @typesafeai and built this: enter your X handle and someone you’d love to reach. It finds a chain of real follow connections that could get your message there, under 2 seconds! Apparently, Luke Skywalker is just two people away from me. Who’s your impossible person? I can drop the link below if you want to try. @MarkHam

hear me out… why are we sleeping on @typesafeai 's Jev for retrieval? tested 34 questions from QASPER. Jev went 17–3 against pgvector + OpenAI text-embedding-3-small, with 14 ties, on gold evidence coverage. small-to-medium doc RAG where accuracy matters might be Jev's playground

Built a bit of a proof of concept using @typesafeai jev. The most prosaic of enterprise AI use cases, a chat assistant for navigating your terrible mobile UI. Interprets your question and finds where you hid the menu option. No hallucinations. https://t.co/ylm3zycwKS

i made a @typesafeai jev+chatgpt instance race against a purely chatgpt instance on two super simple tasks to see the difference, 2-3x faster! :o on first-time tasks chatgpt will write a question set for jev on the fly, and then subsequent tasks get super fast https://t.co/gMBtV3ou3c

I said I’d come back when I was done. I’m done. 😂 I took the Jev-powered experiment, rebuilt it with Jev + Grok Build, and turned it into parody. You can now use it to create parody versions of posts, comments, and basically any social interaction using the identity/context of an existing account. Search for an account → write your parody → generate it → share it. The whole point is to make fictio

i used @typesafeai 's jev in a wine app i made, to check web search results. you ask where to buy a wine nearby. search finds "Steep Ridge Zinfandel" when you wanted "Ridge Zinfandel". Jev just answers: same wine, yes or no? 33 tricky ones. got all 33. little animation of it deciding 👇

some UI things this morning, character expressions driven by screen state and Jev (typesafe ai) https://t.co/LTzPvET9Fx

Introducing jev board, short for jevin keyboard. Fast, reliable models unlock much subtler experiences for building ambient intelligence into interfaces. A small exploration at the edges of GenUI. With done @typesafeai and @CompleteSkeptic https://t.co/C5D6lojjGH

I made a toy CLI for talking to Jev npx @fernandoviac/judged https://t.co/cGTFFqj4xO

Added a live eval system to my webmcp native component library, which I have been using for generative ui and consulting. It evaluates the component as soon as it's generated and if it's not valid, regenerates instantly. Left side is a chat agent with Claude, right side is the Jev Eval loop, webmcp tool calls.

Jev-style "typed decisions" without training anything. On a frozen Qwen3-4B: turn each schema field into a lettered question and read the option letters' logits. No output tokens. Same accuracy as grammar-constrained JSON on closed enums. 4× faster on short inputs, up to 2.4× on long ones with a shared-prefix cache. Strings and numbers still need generation. Write-up, figures, teaching bench: http

First quick test of Jev from @typesafeai Install via @vercel gateway Sending evaluation (input validation passed): { "model": "typesafe-ai/jev", "state": { "character": "2" }, "questions": { "kind": { "type": "choice", "instructions": "Is the character a number or a letter?", "criteria": { "number": "The character is a single numeric digit from 0 through 9.", "letter": "The character is an upperca

I built real-time Clippy with Jev. It quietly watches how you use the product and only wakes up when it thinks you’re struggling. Hesitating? Confused? Stuck? Clippy knows. Even its reactions are controlled by Jev. 👀 https://t.co/EgMhw8FPi1

I build a SQL extension that turns plain english into a WHERE clause with jev @typesafeai WHERE jev(people, 'could work from home') Every row gets judged individually, no index and no embeddings needed. Try it out (don't burn my wallet pls) https://t.co/4nYZVH9iXs

open sourced jev-lint, the linter i run on my own markdown wiki. one run over 99 pages: 16 flags for me to read, about 2 cents in input tokens. it never edits anything. agents wrote most of it, i set the constraints. #AIAgents #Obsidian https://t.co/5mrgk9AT8R

I taught Jev to paint! Jev predicts a probability for each color of each cell, then we visualize the probability distribution: high confidence = big, flat strokes; low confidence = fine brush to layer different possibilities https://t.co/L99f5txwha

jevによる絵文字候補のリアルタイム出力デモ 100ms~200msで応答してくれる 絵文字の選択肢は3種類でも200種類でも、応答速度は変わらないのが面白い https://t.co/ImSC2zLLje

I just got access to Jev from @typesafeai and implemented it into https://t.co/U9dQ9zMz2T to replace the AI classifier I was using to clean the newsletters users are forwarding to read on their reMarkable or Kindle. The results are amazing and the newsletter content is now beautifully formatted. #jev #typesafeai

Jev is fun! One-click invoice finder for any website 🧾 - Automatically finds billing pages using @typesafeai's Jev - List/download all invoices with 1 click - Works with Stripe billing portals too - Remembers where invoices live for next time Should I open-source it? https://t.co/0pZmbrG7a4

Jevでポケモンのタイプ判定機作った サムアルトマンは、でんき・エスパー イーロンマスクは、でんき・はがね で解釈一致w https://t.co/nusP1ElSjV

Evangelion's MAGI, but real. 3 AI sages (powered by Jev, TypeSafe's System One model) deliberate your question and vote. Typed, calibrated, no hallucinations. Built entirely with Kiro — even this video. 🎬 👉 https://t.co/vWgK5vwqCQ #Jev #Kiro #AWS https://t.co/YuEBHxbVku

Jevによるリアルタイム接客の試作📝 クリックする前のカーソルの往復や滞在から、迷いや関心をAIで推定。 お客さんの様子をつぶさに見て、状態を判断。 説明を補ったり、比較を提案したり、そっと見守ったりする。 パラメーターを頑張れば、百貨店の店員さんを再現できそう。 https://t.co/cZrEsUyAxq

I built a visual reference finder with Jev One single prompt → 100 images from Cosmos, NASA, and The Met my new rabbit hole for creative work 🌻

The speed and cost is going to enable use cases that haven't been possible before. Here's a quick demo of live decisions of what slide to pull up as I'm speaking, powered by @typesafeai Jev. Also, sorry for the sniffling. I have a bit of a cold. https://t.co/124B5YEjmF

Jevとgpt-live-1を使ってECのリアルタイム接客デモ作りました。 会話途中でもユーザーの発話に合わせておすすめ商品を即座に出してくれるのはかなり体験良さそう。 あと今回のデモではちゃんと簡単にしか作ってないけど、対話内容に応じてアバターの表情を変化させるって芸当もJevならでは。 https://t.co/hi0RhtX27O

Jevで、会話をリアルタイムに観測するセンサーを試作しました。 発言のたびに ・探索 ↔ 収束 ・解消 ↔ 未決 ・未合意 ↔ 合意 を更新し、会議の状況を可視化します ユーザーインタビューのリアルタイム解析などにも使えそう。 https://t.co/cO21f4AK99