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my video on the routing tool blew up on YT! i crossed 10k views in less than 19 hours, i still can't believe it - my most viewed video till date yayee have been consistently doing YT and content in the ai space for last 7 months and finally get to feel this😇 i built this tool yesterday called agent router using jev + herdr, i was awake until midnight doing recording, and publishing the video. today it feels all the efforts are worth it

tenet using Jev is up to 275x cheaper and 104x faster than Claude agents 🤯 Same 2,000-line diff, same rules. tenet: 1.5 s, $0.0036. One Claude Fable 5.1 call: 157 s, $0.99. Your agent fixes its own review findings before you ever see the diff. https://t.co/Rr1BpU53ak

I built a real-time chat where Jev judges every message in before the room sees it. ❌ No keyword lists ✅ Rules are plain English ✅ Unsure? Held for a human Built with Jev (@typesafeai) + @convex + @vercel Try to break it 👇 https://t.co/P5HYDS6aJX https://t.co/gGWn6XmPaA

Built jevscan - a Chrome extension to detect malicious addresses and transactions on @etherscan in real-time using Jev from @typesafeai. https://t.co/gGgITyJgjT

Created a one-off Chrome extension to remove low quality posts (filtered using Jev) from Twitter, and posts with videos. Feed has become so much better.

Spent a day building tenet, a review gate for code that agents write. It judges each commit, commit message and PR against rules written in plain language, using Jev by @typesafeai. The rules come from @poteto's unslop skill, @hvpandya's stop-slop, @dillon_mulroy's anti-slop and @mattpocockuk's new /pr skill. It also generates rules from your AGENTS.md or CLAUDE.md, and you can write your own rules and presets. Here an agent trips four of them, gets blocked in 1.07 s for $0.0003, and fixes its own findings.

My first real experiment with Jev: project scorer. It takes the specs, source code, and graph (Graphify output) from a codebase, then analyzes them using Jev, Lizard, and Networkx to create project "quality metrics" based on a configurable rubric. https://t.co/lCryvd749u

i made a smart calculator notebook using jev it can calculate ANYTHING!! 😅 https://t.co/0kxyblZVjN

Controlling Figma with voice using Jev from @typesafeai Total cost from first line of code to recording this video: $0.01 🤯 https://t.co/HTGcrBYpTb

I made a Telegram plugin using Jev that warns if you're about to message an ex after a long time of not speaking. https://t.co/eH328cRCky

Using Jev to detect and classify a statement against 50 logical fallacies only takes a few hundred milliseconds and costs $0.000128 per 3k input token request. The response times make the UX feel instant! https://t.co/pwh2b7crGV

judge jev is the law. score two browser agents w/ different models on task completion, using jev to judge which was more efficient at the job. scored on correctness, time, actions, and cost. https://t.co/8M7JBou6O1

Guys I made an extension for LinkedIn using Jev from @typesafeai to remove anything it classified as ai-slop and this is what it left me - did it in under 200ms btw and only cost me a fraction of a penny. https://t.co/0falPlXy0N

I've been developing https://t.co/Wiou7lLysx to keep our minds running using jev https://t.co/i8IemSaIJe

I got up to 50% less context usage on Claude Code and Codex using Jev from @typesafeai a proxy asks Jev which parts of the history are still needed and drops the rest before the request goes out. 8/8 exact answers on the real APIs, numbers is in the last tweet bellow 🔥🔥🔥 https://t.co/WnxBl3I380

Jev opens up so many possibilities for gaming 🤯 🏁 I built Wordshift - the first semantic typing racer game built with Jev from @typesafeai Slower than a jet, bigger than an elephant, faster than a cheetah. The bigger the difference, the farther your car moves. https://t.co/elObRrcVti

X algorithm post simulation hits 5M views. built using JEV. https://t.co/ub7Jcm4Q7w

Implemented this exact thing today in the @knocklabs agent harness using Jev based on the common types of requests we see from live traces.

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've built a drone autopilot using Jev @typesafeai. It flies from point A to point B, avoiding obstacles along the way. One trip costs $0.01. Uses @vercel @aisdk. Code is on GitHub: https://t.co/gNQZIbRP7E https://t.co/1uZuiEOLhn

I built a Chrome extension for agentic browsing using Jev by @typesafeai, https://t.co/Xa9toMieqT including AI Gateway by @vercel. Now agents can browse, click, and interact with websites directly in your browser. Cost effective and fassst. Decision-making by Jev. https://t.co/bIqkUbCkvc

got access and been using Jev as the director for my VJ software given he answers in under 500ms with judgments and confidence, he picks the scene, palette, effects and the mix, once a bar in real time cost? around 1$ per 2hr dj set https://t.co/KSndabU5RI

Put together a quick video of using Jev with ReqLLM I cover the new `evaluate/4` method, why I went that route, and make a real API call to Jev to classify an issue https://t.co/wvSoeI07AD

using Jev as a chess engine, I call it alpha-jev. pretty unimpressive lol https://t.co/FMP6oTOKyV

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…🧵

inspired by jev, i created something real fun: crowd check! test your post/tweet on a crowd of 10,000 AI readers before the real internet sees it. they have their own jobs, personalities, tastes and memories. post anything and watch what happens: - do they like it? - hate it? - repost it? - follow you? - block you? - or nobody cares? then see exactly how your post performed across the crowd 10,000 ai readers. millions of tiny decisions https://t.co/KCQimIi1n7 using jev via vercel ai gateway @CompleteSkeptic @rauchg

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

Vibe coded a parallel search using jev for agents, planning to hook up a local LLM to this to get human output. Discovers new pages and adds them to a BFS queue, jev consumes pages in parallel, reranks and adds to the queue. https://t.co/EkpZhuYmRB

🚨 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

IRS O*NET job classification using Jev (1,016 possibilities) Query: "I scoop scoops and sprinkle sprinkles" Result: 35-3023.00 Fast Food and Counter Workers https://t.co/SSXUqQwNo3

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

I'm using Jev (from @typesafeai) to categorize expenses for my company! Our office manager used to do this. It's all in Mongolian and we have to do it using bank records. It is very unique to our company, and not something a software would handle easily. We also have about a years worth of Excel files (training data) that I'm using to give Jev guidance on classification (few shot style). It really works, it's stupidly cheap, and when it's not confident it says so. Pretty great! This isn't anything new, classification in ML is extremely "solved". But this is a general classification model