Tools & apps

Now it's my turn. Jev sorts my inbox very quickly and accurate and also let's me add custom filters? I was working on my own mail client for private use for mac and linux and today i wired it up to use jev to sort my mailbox as i need it. Also in there are AI replies (not jev, use any model you like gemini is good for this) and all works with an Openrouter API Key Who wants to try it?

I built a real-time filter for X with Jev as you scroll, it spots engagement bait, rage bait, and promo posts, then throws them into a trash bin. and it's open source so you could BYOK ⬇️ https://t.co/UyAjHiuwP1

I turned Jev into an image model…? Presenting Jevinci! https://t.co/8rO1mBA1D9 The paintings are pure JS, no AI image-gen. Jev predicts every pixel's color in parallel and we paint them. The more confident Jev is in a prediction, the wider the brush. (sped up 4x) https://t.co/jWkC0pB6uj

i put Jev by @typesafeai inside a pigeon. it has one job: find jargon in your writing and take a dump on it. https://t.co/us8w5LNjdz

Jev helps me do football video analysis. Gemini gemini-3.7-flash watches the match (Man City vs Norwich). Jev (@TypeSafe) judges each play in ~0.2s: channel, counter-attack, danger, key players. The insights appear on the video while you watch. A 12-min highlight analyzed for ~$0.06. (next step live game analysis).

Here's what I built which has a usecase for jev. Jev sorts my inbox very quickly and accurate and also let's me add custom filters? I was working on my own mail client for private use for mac and linux and today i wired it up to use jev to sort my mailbox as i need it. Also in there are AI replies (not jev, use any model you like gemini is good for this) and all works with an Openrouter API Key ht

Ok I was busy doing actual work today, but here is another Jev experiment ... Code linting, for specifically the kind of "anti-patterns" that LLMs tend to include, "inline" as part of the code gen. process giving immediate feedback. The idea here is that while you can create a set of ast/ or other programmatic rules for alot of these, the models tend to get really creative to satisfy the linter bu

I made a Chrome extension that uses Jev to classify each tweet as you scroll. You can filter out certain categories like 'vaguepost' or filter to only see a certain category. It's VERY fast and VERY cheap - you'd be able to classify 30,000 tweets before spending a dollar 🤯 https://t.co/DPjl2zQVu7

hey folks, my dream come true Real-time analysis of Fed press conferences with Jev Jev @typesafeai by @CompleteSkeptic scores every word the Chair says in ~150ms; the chat model scores take way longer Check out the recorded demo, or try a live comparison on a past press conference with Claude Opus 5, GPT-5.6 Sol, GLM-5.3 and DeepSeek V4 Flash. Would love any feedback!

@rauchg Had a lot of fun playing with this concept today! Gave Jev context about design system components and can now generate webpages with my voice https://t.co/XO8lViOqev

introducing JevForm, a form that dynamically branches and chooses what to ask next usinng @typesafeai’s Jev in my life i’ve made hundreds of forms with crazy if/then logic. Jev solves it. built with @vercel json-render (by @ctatedev), so theoretically it can support any generative form UI, and @DavidKPiano’s xstate for the actual state Play with it here: https://t.co/0TwQD3wEH8

today i built talkr, a speech analyzer using @typesafeai > talkr gives you a topic > you talk about it for 30s > jev analyzes your speech: pauses, filler words, repetitions, confidence, clarity > you get a score and feedback to improve can’t wait to 10x my speaking skills https://t.co/ENybzQkIW8

Here's an example of Jev routing tools, skills, cli commands for Qwen 3.8 27B on @cerebras to format a Power BI report. Changes are almost instant; working on Linux, only wait due to publishing and refreshing embedded report. The video is not sped up, at all. Just a start. https://t.co/AZWKXZFYzR

Jevを使った音声認識アプリを作ってみた 話した内容を文字起こしして、それをJevが重要度判定する 重要な文節ほどフォントが大きく、色も濃くなるので、あとで見返すときにラク！みたいなイメージ 議事録作成とかに使えるかもしれない https://t.co/9hPeg6myjB

I asked jev to analyse and rate my 2442 posts on X and it's review was brutal to say the least, here's a 2-minute snapshot of the run (3x speed up) The whole run took around 8mins getting us to ~5 posts/second which is quite low, am I doing something wrong? https://t.co/Fli47KhwhO

I built a simple reranker using Jev that performs on par with Voyage, and outperforms Cohere and Mixed Bread https://t.co/r4Xdfuk6BJ https://t.co/4StSjjKoRw https://t.co/DlJBc3A88Y

I vibe-coded this simple, open-source and local Telegram content analyzer using Jev as a classifier. Jev Classifier • https://t.co/Ux7mYLwStF Export your channel data as JSON and it will analyze each post's intent, quality, sentiment, and reaction tone and if it's a DM/Group chat it will analyze topic, intention, and emotion, plus a per-speaker tone summary. I made it very extensible so you can use Vercel AI Gateway API Key or @typesafeai's, you can also goto the settings and configure Jev so the questions and choices can be customized to your needs. https://t.co/sWz5x38mGl

AI coding agents just got caught lacking! Built Greenwash, a GitHub app that catches AI coding agents pass the CI checks silently. This tool reviews the PR lightning fast! ⚡️ Built with Jev, the model from @typesafeai. Huge thanks to @notkevinzhang and @justKDeng for getting me off the waitlist. Link in the Thread…🧵

Built a text -> emoji sentiment analysis demo using Jev Try it here: https://t.co/MNprxC9KIr

remade an AI filter composer I was working with, using Jev instead of Luna Medium, numbers are good, can probably iterate a bit to make it cheaper and faster https://t.co/pFGsRa456G

🚨 I gave the Trump vs Kamala debate a live BS meter using Jev every sentence, both candidates, 5 yes/no questions each 1,191 Jev calls / 1.18M tokens / 415 ms median total cost : $0.0497 same questions for both, clips picked by one fixed rule, not a fact-check https://t.co/m8u4ALl6Me

using jev and the sick new markdown renderer in @pidotdev , i made a pi-extension that lets you toggle how much detail you want in the agent output. this was motivated by my inability to understand what opus 5 was getting at https://t.co/PE4HQhc84T

these are results of using jev on one of our security pipelines. we already have to use smaller (and dumber) models to make it economic and this model does it over 5x cheaper, faster and while maintaining much higher accuracy. i don't normally hype over new model releases but that's the first one that actually impressed me. good job @typesafeai