Jev 101Benchmark tables are hard to picture, so I built a replay for two evaluation sets: TREC-1 WSJ: BM25 + JEV and TREC DL 2019:monoBERT vs JEV. Pick a query to watch both the ranking and metrics change at https://t.co/We0XbUXlCI https://t.co/G6UYbqBAo4
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This AI is going viral, but it CANNOT even write a single sentence. And I can't believe what Jev just did: I have 38,000 connections & invitations on LinkedIn. I need to find a couple of hundreds of people to message. I could ask Claude/ChatGPT to filter them all, but it would take too long & cost too much. So I uploa…
Jev + Qwen-3.8 = Kev. you can now run your own decision model locally, for free. kev is an open source family of small decision models built on qwen3.5 and qwen3.8, reverse-engineered from jev's own published architecture. > drop-in compatible with typesafe's own sdk > answers yes/no, multi-choice, and rating in one c…
this is an idealistic visualisation of all the benefits in one place check my repo for the thing i built it has laya and jev in the harness itself TLDR; if you don't wanna read all this 3,500+ words of yap just go and use this GitHub repo and give it to your agent➡️https://t.co/7ruFwvi2Au
i replaced jev with a model x3 faster and totally FREE 250M free tokens to builders. it's a decision model from https://t.co/O77thB3KCa — facts in, a probability for every option out. one pass, no long reasoning trace to parse. full breakdown in this thread 👇 https://t.co/EzS4aEKv0d
i used Opus 5.5, Jev Engineering and graph theory to connect top memecoin traders wallets into one map of the Solana trenches 345 wallets, 12,560 tokens and 235,700 fills, with the best result bringing in $7M+ in 30 days who buys what. where activity overlaps. when recorded sells appear. all in one place called it TRE…
we have been running jev in prod for a week and for the things it's good at, it absolutely mogs the oss models receipts attached in the blog https://t.co/g0WgrvrjEv
Jev + GPT-6 Astra just won 9 out of 10 StarCraft II games Astra made the plan. Jev picked the next move while the game kept running The team tested five setups across 50 matches against the game's toughest built-in opponent without cheats: > Jev alone → 0/10 wins > Astra's plan + random moves → 0/10 > Astra's plan + J…
I put Jev in front of my agent, and now it cuts about 90% of my token spend without any drop in quality. Here is the setup Most of what an agent gets is a decision. Is this email worth answering, does this ticket need a human, etc. I was paying frontier prices for every one of them. So I added a gate. Every request go…
jev's brain only has 3 moving parts. if one of them ever guesses, i turn it off 30 days in - 194 decisions, mean time to catch a bad one: 12 minutes zero code between the three parts, each one only sees what the last one wrote, not why: → jev decides - scores every chunk hide/brief/raw before anything gets written → o…
Jev and Lightpanda are getting on well. Jev decides, Lightpanda clicks. We sent them to browse SF hostels with parking on a startup budget 🍜 > 129 agents fit on one laptop vs 12 with Chrome > 11x less memory than Chrome on a real booking site > 6.7s per task with Jev vs 14.1s with gemini-3.8-flash Code in comments
Hooked subway surfers with frida to let jev play a bit https://t.co/1QbNjQycHv
I've been building software for 18 years. It’s always nerve wrecking to put my baby out there. I’m forcing myself to do it again today. Meet Bowser: the browser that builds itself. Instead of using extensions Google approved, you make your own mods (short for modifications). You can mod anything including Bowser itsel…
JEV + HIGGSFIELD + SHOPIFY: I SHOWED A CLIENT HIS STORE ON A CALL. HE WENT SILENT FOR 12 SECONDS. THEN HE SAID "WHO BUILT THIS?" I SAID TWO AI MODELS AND ONE AFTERNOON he came to me with a dead store shopify theme from 2023 stock photos zero sales in 3 weeks paying $340/month in apps he doesn't use I said give me the…
Another use case for Jev. This time: 911 dispatch. After Jevton, I wanted to see how far a decision model that never writes a word could go on real data. So I put Jev on live emergency calls, with real dispatchers as the answer key and a dumb baseline on screen so it can't hide. Jev Dispatch pulls 911 calls from Detro…
Jev + Grok Bot Is f**king Insane… i built a 24/7 agent desk where Jev handles decisions, Grok Bot writes only when needed, and humans see only the important stuff. 20,000 decisions later: 1. jev routes every event in 60–140ms across ignore, log, draft or human 2. x replies, github issues, telegram spam and on-chain al…
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Jev just f*cking humiliated GPT-6 and Opus 5.5 on production latency system eliminates generative LLM latency entirely, routing live operational state through Jev across four mission-critical pipelines: lane 0: Market State (bid, ask, order flow) → Jev → Place or Cancel post-only orders inside Monad’s 300ms block wind…
What the Jev #02: @jackcheng points at a shape, says "put that there," and it moves. No vision model. Jev reads the canvas as text and answers 8 multiple-choice questions. https://t.co/mSCirvd2C2
3x fewer tokens. 84% accuracy on the Vertical RTK benchmark. That’s what we got using Jev through @OpenRouter as a reranking layer for Knowledge, which we recently launched in the Web Search API. Knowledge returns structured, real-time data from authoritative sources across domains like stocks, sports, and more. For m…
نشستم با jev یه چیزی ساختم واسه تست خیلی خوب شد :)) با 30 میلی ثانیه سربار تقریبا هرچی بهش میفرستم رو فلگ میکنه https://t.co/gqunNL47Pp
🔥 Jev is on fire! 😎 So we ask Reef: /reefine add jev as a tool Reef then evolves the agent, and adds Jev into its harness. We use this evolved agent to hunt for papers related to "Self-evolving Agents" published in 2026 on arXiv. The agent found and screened 120 papers in 9 seconds! Come and use Reef to evolve your ag…
this is why AI answers need a second check the source says refunds are available within 30 days. an AI answer says you can get one anytime. GroundCheck asks Jev whether that answer is backed by the source > policy → 30 days > AI answer → no time limit > Jev → BLOCK in 242ms the developer tested the tool on 1,600 label…
A list of forecasters is not a count of independent opinions. If 10 teams run the same @NOAA priors or fine-tune off the same foundation checkpoint, an ensemble of 28 models is not 28 degrees of freedom. Here is how we integrated Jev (@TypeSafeAI System One) to solve this: 🧵 https://t.co/hot9kXRT2T
JEV + GPT-6 ASTRA + STRIPE = AN AGENT THAT MOVES REAL MONEY AND CANNOT BE TALKED INTO A BAD PAYOUT the whole idea: astra decides who gets paid, jev decides whether astra is telling the truth, and nothing hits stripe until jev signs off. a customer asks for a refund astra reads the case and drafts approve or deny with…
التجربة الرابعة مع JEV 👇 سويت X Signal Hunter يصيد إشارات السوق يرتبها ويقيمها وبعدين يختار لك أقوى موضوع يستاهل تنزل عنه ويطلع لك الزاوية المناسبة للتغريدة + ليه تستاهل النشر يعني بدل ما تقعد تدور وش تنزل اليوم JEV يصيد لك الفرصة #AI #JEV #X #AIAgents https://t.co/YXXQGryt0v
Jev + GrokBot is the best night shift I've ever hired It ran my X account for 8 hours while I slept - and didn't make a single mistake... setup takes literally 8 minutes: prompt → GrokBot → Jev approves every action → GrokBot executes → morning report step 1 → open typesafeai, create API key (keep it off chat paste) s…
I built WearScout because I kept seeing great outfits and spending way too long searching for similar clothes online 👕 Give it a reference image, it uses @deepseek_ai v4.1 Flash via @nebiustf to describe the look, and Jev drives a real browser using @browser_use to find similar pieces across stores, check product page…
every marketer needs a content research agent that plugs into a social media brain an agent that watches TikTok, Instagram and YouTube Shorts for you, pulls from a database of 13.2M+ viral videos, and uses Jev to decide in 200 milliseconds if each one is worth your time i used it to get: - 500K views on social media i…
Opus 5.5 + JEV is insane... I crashed two particle cores into each other at 18,000 points and the system built something I didn't design Two energy fields. Opus 5.5 + JEV. Running in parallel. 9,000 points each. Dual core. Full sequence in 36 seconds: 00:00 converge. Electric bridges connect the cores. Spatial links f…
You should STEAL this from me as FAST as you can. I MADE CLAUDE AND GPT REVIEW EACH OTHER'S CODE > Opus 5.5 is the builder, it plans and writes the patch. > GPT-6 Astra is the reviewer, it runs the app live and hunts for bugs. > Jev is the judge, a tiny model that never writes code, only decides. Neither sees how the…
Jev + Opus 5.5 is the best travel agent I've ever used, and it's not even close it just planned my entire Lisbon trip CHEAPER and FASTER than any human agent or booking app could 3,000 hotels, Airbnbs and flights → scored in 38 seconds → one perfect 5-day itinerary total cost: $0.25 setup takes literally 7 minutes: pr…
What the Jev #03: AI detectors give you one number. @hammer_mt's jevgram shows you which words. It asks Jev the same question about every 1-, 2- and 3-word window and paints a heatmap. Swap the question ("does this person sound upset?") and it's a new tool. https://t.co/zEcBq9ykpX
We tried Jev to cut costs in long-running verification workflows by building a production-grade model router for the Atomic coding agent runtime. Routing reliably across hundreds of models while maintaining accuracy in long-horizon tasks was harder than expected. Hard-fought lessons 👇
A demo of a practical use case for Jev: routing customer inquiries on a live call center line Fun voice AI project built with @livekit It's really incredible to see how quickly Jev can act on a live call and bring in real-time AI judgment on everything the caller says https://t.co/i3OQNuqxp5
Jev is so cool. One really simple and useful use case I've found is to have it loop with GPT-6 Luna and rewrite content sentence-by-sentence to remove AI slop and have it sound more like me. - I feed my own voice samples and rules in the settings. - I paste some content in to rewrite - Jev ranks each sentence on AI te…
GLiNER2.5-Decide now runs entirely in your browser 🎉 ONNX weights + a WebGPU demo in @nicodotdev's open-jev: 4 typed decisions in ~100 ms on a MacBook, and your text never leaves the tab. Try it: https://t.co/52k03zT0fa
Jev prend 1 000 décisions pour un sou. Pour trier 8 000 noms d’entreprise, mon test complet a coûté environ 10 sous. La technologie est déjà là. La vraie question, c’est combien d’années il faudra au gouvernement pour décider de s’en servir. Avec Benoît Dutrizac. https://t.co/AnD2vOpHTG
I made Jev do a stupider thing, be a NAND gate, so it can run a 4-bit ALU. Adding 7 + 5 = 12 takes 116 gates, 7.6 seconds, $0.0018, and a compound 84% probability. Billions of these will play Doom one day. I've asked Opus 5.5 to make a video about it, Nolan style. https://t.co/YtvdsbxKpa
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there's still time to shut this whole thing down. made with jev + gpt live + blender + unity + more https://t.co/RUKelViBxL
What the Jev #04: I built an agent that DMs me when I'm being an ass on Slack. (I can be lol) A Jev classifier checks every message as it lands, no cron. Before trusting it, I ran it on last week. "chime in where appropriate, like a smart coworker" https://t.co/1SCWg21F6I
run Jev, Claude Code and Codex from 1 API. this repo does it for $0. no account. no cloud. no platform fee. it's called HarnessRouter. 2.6K stars, Apache-2.0, runs on your own machine with 1 docker command. → 15 agent harnesses behind 1 endpoint, System One powered by Jev included → Jev runs on your own TypeSafe or Op…
AN AI JUST DID A FULL DAY OF SALES WORK IN 16 SECONDS. THE BILL WAS 41 CENTS. Grok went through 3,412 people on X, LinkedIn and YouTube. A new model called Jev asked each one 6 questions. Real person? Fits the offer? Active in the last 30 days? Ready to buy? 20,472 decisions later, 186 were left. The other 3,226? Bots…
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I MADE JEV AND OPUS 5.5 PLAY TETRIS. JEV DIED IN 92 SECONDS AND STILL WON. Both got legal moves with their calculated outcomes. Most lines wins. JEV 16 lines • 76 pieces Topped out at 1:31.8 Median decision: 546 ms Сost: $0.0108 OPUS 5.5 15 lines • 51 pieces Survived the full 5:00 Median decision: 5.03 s Сost: $1.5943…
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opus 5.5 feels f**king slow send it this prompt and make the whole workflow feel 5x faster i wired jev into the loop so opus stops wasting expensive reasoning on decisions that should take milliseconds. Here's how the setup works: step 1 → map where the model wastes effort. deep research, repeated retries, unnecessary…
GPT-6 Astra + Jev: 2/5 Left 4 Dead 2 campaigns done. Swamp Fever chapter 1 cleared. Here’s 3 minutes of Jev playing, with Astra planning and fixing loops. https://t.co/EN9ezqrKfe
Interesting use case with Jev by @typesafeai and Opus 5.5 - Phone Use Automation. I type to CC on my Mac and it controls my phone to complete a task. Peep the demo below (sorry for no voice was just mesmerized) https://t.co/zSjComSBZX
🚀 ترکیب Jev + Opus 5.5 باعث شد هزینه و زمان اجرای ورک فلوی من حدود ۸۰٪ کاهش پیدا کنه. 🧠 Opus کارهای سخت و پیچیده و بخش اصلیِ استدلال رو انجام میده. ⚙️ Jev تصمیم میگیره چه اطلاعاتی لازم هست، هر کار رو به کدوم نیروی سریعتر بسپره، اگر یک ابزار خطا داد چطور کار رو ادامه بده و قبل از اجرای کامل تستها چه بررسیهایی انجا…
I GAVE JEV BOT $60 AND ONE RULE. FIVE HOURS LATER IT HAD $9 LEFT AND WAS STILL ALIVE. The rule was earn your keep or get shut off. At $9 the rule was one bad entry from firing. Here is what it did instead. It tightened the one filter that matters: the gap between the real signal and the odds the market still shows. Be…
My first LLM project was in 2022 at Meta where I needed to figure out if we could use OPT-175B as a first-line classifier to flag newly problematic content ahead of training a supervised model. Seeing Jev attract this hype felt like a full-circle moment. Isn't this just LLM + constrained decoding? I haven't seen many…
grok 4.7 + jev + opus 5.5 = the smartest thing i have run yet i call it nitro. three models, one job each, and only one of them ever writes a word it cut my cost per finished task by 84% and the time by a bit more than half jev is the whole trick. it does not write anything. it only decides: → which project notes go i…
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Jev called the shots. GPT-6 Astra wrote the code. 3 prompts and 2h 53m later, I was playing a battle royale on my desktop. I even got a Victory Royale. https://t.co/DPxewQkCf2
This is cool as shit. A local Jev-like decision model playing 6 games at once (realtime). This is my fine-tuned version of Laya, running on a local sidecar-server for Hermes (GH link below). Special thanks to @0xBakeer for the playground and his complementary work [go check him out].
I turned NVIDIA’s stock chart into a track. NVIDIA STOCK MARKET + JEV + HERMES + STRUDEL = MUSIC This is September 24. The price drives the melody, trading volume shapes the drums, and the dip becomes a break before the recovery brings the melody in. Jev picked the musical direction from the session’s shape. Hermes wr…
I built a prison escape game with Opus 5.5 + Jev Jev is used to evaluate every action as you figure out how to escape before it's too late Here is Jevbreak https://t.co/66wPAUXs4n
Introducing Doom or Bloom Map your AI worldview by answering a few questions, and see how you compare with others like @sama, @elonmusk, and @BernieSanders • only takes a few minutes • free & open source • private by default • powered by Jev https://t.co/aWx2JJZkvJ https://t.co/MT8WKisrfl
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Playwright CLI + Jev is 98% cheaper and TWICE as fast compared Playwright MCP Decided to test out Jev by TypeSafe AI and hook it up to Playwright CLI. I compared the results with Playwright MCP to see how both workflows handle a fuzzy instruction such as: "Create new board, list and card" for my Trello app playground.…
jev just went through all 951 Claude Code and Codex sessions on my machine. took 1.9 seconds. no vector database, no indexing ...just vibes https://t.co/XMmcgpbK8f
j’ai transformé les variations du prix de l’action $NVDA en musique mdrrr j’ai pris les données de la séance du 24 septembre et je les ai données à Jev + Hermes pour en faire un morceau sur Strudel. le prix pilote la mélodie et le volume des échanges joue sur la batterie. le passage où l’action chute devient un break,…
jev + opus 5.5 gave my one-person business something it never had before in the workflow from my article, 3 workers keep client research moving 24/7 without putting an expensive reasoning model inside every decision loop → pick relevant sources before loading the context → route each task to Research, Write, or Review…
AI agents shouldn't get unlimited access to your infra Jevrail is a pre-execution safety layer powered by Jev, that evaluates agent commands before they hit your shell, blocking destructive actions. Demo proofs in repo @typesafeai https://t.co/83Gx36JD3V https://t.co/qVY2qaSwTM https://t.co/6vym6DggJt
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wired up jev to play shards (a collectable card game for agents). it got its butt kicked by the bot 😅. iterating. https://t.co/qrVf3IeZRo
I forked one of these twenty repos for a client's decision system, and the routing cost came in at $0.00003 per turn, cheap enough that nobody even asked about scaling it. 20 f*cking useful JEV skills, 20 repos, 5 layers, 28.4k stars combined, snapshot September 2026. One judgment model small enough to sit inside a li…
Jev vs Claude, same robot, same instructions. 233 ms vs 2 s. And yes, it sulks when you insult it. 1x speed, sound on. https://t.co/6GevXQzd8i
Jev by @typesafeai doesn't generate text. so what do you actually build with it? I made a few experiments on @VibeCodingList to try that out: https://t.co/ncXMcTvmMk https://t.co/3YtJpKGeOk
Combined design system atoms, Jev and Opus to compose custom screens based on user input with dynamic renderer shaping own experience https://t.co/s0PfDGDoCy
I used Jev to moderate messages in Stream Chat. Block or flag harmful messages before they reach users. https://t.co/zsQPn2zcU2
Project Thanos: ask any web page a question, and everything else snaps out of existence.. made w Jev @typesafeai & @claudeai more detailed working in the thread 🧵 https://t.co/SslACIrdI4
Opus 5.5 just tried to DROP a production database with 1.2M payment records. TWICE. Luckily Jev was watching every command. One pod was crashing. Opus found the bug in 4 minutes. Then it decided the fix was: kubectl delete namespace prod DROP TABLE ledger CASCADE; 14 pods. 3 volumes. EVERY payment record. At a real co…
Jev-Omni just played Chrome Dino, fully local on a MacBook... 12B decision model, fine-tuned from Gemma 4, released a day earlier you give it an image + a question + options, it returns a probability for each one that's exactly what a game loop needs: - every ~100ms, crop the slice of road where the obstacle *will be*…
Been seeing the same thing in practice. I used Jev for a GEO tool that compares your page against the ones AI cites, and it makes lots of small judgments per page. Anything low-confidence gets flagged instead of treated as fact. Escalating those to a bigger model would be a nice next step. https://t.co/BvLNv53aIk
We compared Jev, TypeSafe’s model for structured decisions, with GPT, Claude, and DeepSeek using MLflow. On 30 human-labeled QA examples, Jev matched the best agreement at lower cost and latency: ✅ 30/30 agreement with human labels ⚡ 369 ms median latency 💰 $0.0247 estimated cost per 1,000 judgments Our new blog walks…
A bit late to the party, but I was catching up :) Built a quick model router with @LangChain , using @typesafeai ’s Jev as the middleware/router layer and @nebiustf models underneath. The router switches between GLM 5.3 Flash and other 5.3-based models depending on the task. Pretty fun little experiment to see how dyn…
@sydneyrunkle @Hacubu @allietheicon Jev as an agentic search reranker w/MCP Query for 100 results - @typesafeai ranks on answerability, states_sought_fact, authority, on_topic, subject_match, spam, and prompt_injection Move the “answer” to top 3 results 86% of the time OSS @ https://t.co/7npozSwrWL
$499,235 of unbilled work across 1000 work orders. @NaceAI's drex found $482,260. i recently came across drex, an alternative to @typesafeai jev and quickly built this to try things out for a client demo the problem: technicians write down everything they did, but the invoice often misses some of it. that work never g…
'the hawkeye protocol' - orchestrating @OpenAI codex, @AnthropicAI claude, @cursor_ai and @NousResearch hermes agents via a grok @bot orchestrator and @typesafeai #Jev classifier & @herdrdev panes for agent runtimes. https://t.co/bkzWJC1Xoc #AI #Agents
🦞 The @pumpfun venue is live in the JEV engine. Token-vs-SOL markets, quoted per token, offered only when quoting succeeds — everything else fails closed to BLOCKED. Dry-run paper trading. Code: https://t.co/2HZZNGhJRD powered by $CLAWD @pumpfun, sent from my @muse app https://t.co/xg5CJVILzb
I am now indexing @solana tokens using @typesafeai JEV x @clawddevs x @supermemory IMO we have begun @solana super intelligence. https://t.co/emtJX0KHsq https://t.co/KskS9tOJdq
I made Jev grade every Starter Story video. Slop: 13 of 185 HubSpot links since April: 40 of 40 I ran 46.8 hours of Starter Story through Jev. 13 videos got stamped SLOP. Every video since April links through HubSpot. https://t.co/Bcv2A98rox
Another use case for Jev in DeFi, this time on @solana. Vault risk classification for @kamino vaults. I pulled the signals that matter for Kamino vault risk (reserve allocations, liquidation LTV, utilization, idle cash, curator, APY sanity, liquidity, concentration and more) across 30 vaults, then asked Jev to score e…
3 AI trading bees. $1,000. 300 decisions a minute,with Jev as the brain. One of them dies at the end. Full build + how to race your own bees 👇 https://t.co/UTPZJQPr7I
Liloo on the Hype Meter HYPE 1/100 (how loud) LEGIT 18/100 (how real) Verdict: HYPE WAGON Jev decides: https://t.co/MF90bKLl8B
Jev AI @typesafeai is very good for SEO! So I built a tool on it. Funnels keywords into TOFU/MOFU/BOFU and the four intents, clusters them, maps the site structure. Link in the comments 👇 https://t.co/cbpC8Wa2bT
1/7 I tested Jev and Gemini on 300 customer requests. Asking MORE questions cut the agent from ~7 model calls to 3, and made BOTH models more accurate. But Jev also had a nearly 4x better trade-off when filtering wrong answers. Then Gemini hit a limit that had nothing to do with its context window. It came from how it…
@akshay_pachaar We ran an empirical side-by-side benchmark comparing CLM-8B against Jev, Kev-4B, and Qwen3.5 on our decision suite on an RTX 3090. https://t.co/CoDJjVuceK
if you haven't tried Jev, you're missing out. i built three projects using Jev in the easiest way possible i will share them on my github soon https://t.co/eXTQu0VDOH
Is it a 😺 or not? System 1 models like @typesafeai #jev classify, evaluate truthiness, or give a score. I built an app in #java w/ @micronautfw & @langchain4j hosted on #CloudRun to discover if a picture depicts a cat or not, thanks to #DiffusionGemma https://t.co/Awd9D1Fuap https://t.co/DMLYNF3niU
Jev just became my coach :) I built a tiny agent with Jev that roasts every excuse until I actually get up. making me stop procrastinating :) 6 times a day it pings me in Telegram with a desk drill and a water check. I skipped one: > me: "was stuck in standup lol" > Jev: [SKIPPED] [MEETING] [SARCASTIC] > Coach: "Meeti…
jev + opus 5.5 is becoming one of my favorite ways to build research agents. i built one that can analyze almost any technical source i give it: → x posts and threads → github repositories → pdf files and papers → lectures and long-form videos Opus: handles the actual reasoning and synthesis. JEV: controls the decisio…
🤯 Honestly - I can't get enough of this: SPARK USERS!! 🚨 LOCAL JEV-like decision model operating along the pareto curve (2b) - playing 6 games at once - and doing well. Runs as a sidecar to your local model (like Qwen Flash Next) - for the little cost of 2GB of VRAM. ~15ms latency. Think about what you could do with t…
Jev is a great decision model. But would you trust its advice? Built- Magic Jev Ball. it's like a Magic 8 Ball, but powered by Jev (duh) Ask anything- Jev picks one of the 20 classic answers First of 7 weird experiments with Jev Links below! https://t.co/VoSfGI0THu
i told the stack if a call is a pick, a score, or a yes/no, it never touches a frontier model video below is the actual screen. 12,000 agent calls from one day. every one of them is on it 12,000 calls. 40 slow thoughts. 2 humans. $1.24 not one prompt doing every job. three lanes, and the expensive one barely wakes up:…
Built Colony Zero, a survival sim where the map is filled with unique personality agents, and Jev is the core component making every colonist's judgment call when things go bad. Full Architecture explained below in the thread Check out the comments for the link! https://t.co/fZZNcrwAbj
Post and hope, or know before you post? We built a viral checker to find out. Jev scores your content on ~50 virality criteria in under half a second. Opus 5.5 roasts or hypes the result and tells you what to fix. Stuck between two? Battle mode picks the stronger one ⚔️ https://t.co/aC1ekNjkxN
@Basix1120 @aguming_ 아쉽게도 캐싱이 깨지는 건 피할 수 없긴해요 다만 Jev 판단이 바뀔 때만 깨져서 실사용에선 줄인 요청의 90% 정도가 캐시로 처리됐어요 캐시를 덜 깨는 방식도 검토 중입니다..! https://t.co/GqgxWAshm4
Vague thought/intent in → something you can actually buy. Paste an inspiration (link, image, whatever). Talk at it. Jev pokes the useful questions. Feed is still WIP (free affiliate catalogs for now). Good quality affiliate access would change everything. Please @myntra @MyNykaa 🤌🏾💖
built a virtual closet & outfit generator from raw closet videos. classification + semantic search thanks to jev 🥰. clueless closet dreams finally coming to life https://t.co/kW7ewqktFc
nope, "competitor" is by far the wrong wording here, at least for me. I tested whether an open "local JEV" can replace a hosted relatedness judge in a real pipeline. Setup: CLM-v0.1-8B (Contrastive-LM) with its official encoder (Qwen3-8B BF16 on vLLM, NVIDIA DGX Spark) vs. JEV (typesafe-ai/jev), on 140 real entity pai…
🚨 This is fuc*ing serious 🚨 I LET 43 DECISIONS RUN 5400 AGENTS. NO HUMAN. $18,740 OVERNIGHT. Jev Engineering is not a trading bot. It is a tiny boss on top of a swarm. 5,400 agent runs sit under the map. Most of them are noise. Jev does not think through every click. It only hits the forks. Who keeps going. Which rout…
Jev from @typesafeai has obviously been on everyone's minds this past week. 'System One' models, decision models, smart classifiers, whatever you want to call them... they're very useful. We even built them into Kitaru as a whole new 'judge evaluator' package. But what if you want to own the model and where the data g…
ฉันเลิฟ Jev รัน eval ได้แบบสะใจมาก scammer ต้องเจอพี่นะน้อง https://t.co/nGNDovsM05
Jevmem – automatic project memory for Claude Code, built on Jev https://t.co/GPf32yhGF9
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Okay, time to throw down some Rust 🦀 + Amazon Bedrock + Jev! A small little router that routes a prompt to a model depending on it's complexity, expertise or stakes! Since there is no SDK for OpenRouter/Jev in Rust. A simple HTTP request using `reqwest` does the trick! https://t.co/etY5qKRm2u
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We turned TypeSafe Jev into a real-time feed scanner for X. It scores every post on your timeline in under 120ms and marks likely AI slop before you read it. Over 80% confidence gets a red boundary box and a loud badge. Under 40% gets clean green. Nothing is filtered, hidden, or collapsed. Full extension repo and demo…
Getting your first customers is super hard. So I tried the easy way with AI. --> Ask Codex to review my app and give me Ideal Customer Profile --> Connect Monid https://t.co/TOBKldF88i to get GTM tools --> Connext Jev @typesafeai to verify leads Get #100 verified work email addresses for potential customers to cold-em…
JEV just processed 4,700 decisions for $1.83. Claude is still working on the same batch at $47 I visualized it as a race: 4,700 requests drop into both models at the same time. Jev catches each one in 70ms, pink dots raining down and landing instantly. Claude processes the same requests at 2.8s each.. red dots crawlin…
JEV is insane. Tell @typesafeai Jev your job and see how AI-proof you really are. Most jobs aren't getting replaced. They're just 60% busywork. So I built FutureJev. Type your role, and Jev shows what AI takes by 2030, what stays human, and your AI-proof score. Stamped and shareable. Built on @Lovable
been looking at ways of making jev like tools useful for a harness. jev can help a coding agent pick things: which model should take this task, which tool to reach for next blah blah blah you hand it a list. it picks one, or says it can't. checks the pick before acting. feed this to your AI-godling https://t.co/FH1kYZ…
$412 TO HAVE OPUS 5.5 READ 50,000 GITHUB REPOS. $1.94 WITH JEV STANDING IN FRONT OF IT. ONLY 120 MADE IT THROUGH. the clip is 26 seconds. a pink dashboard, Claude Code on the left, a counter ticking up on the right, and a bill that barely moves. 50,000 repos → 12 typed questions each → 600,000 decisions → ~164ms per q…
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Three weeks ago I published my Grok Bot desk that made me six figs. This sits on top of it. Every judgement is now a typed number with a probability instead of prose code had to parse. A collector pulls FOMO tokens, chain data, and the project X account. Jev answers typed questions and picks which we trade. Grok Bot t…
Control a SolveIt dialog via the (very fast) Jev model! 🙂 https://t.co/rvhHtPgIg8
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Introducing the most powerful magic 8 ball powered by Jev Try it out yourself, or try linking a github repo and ask it any question https://t.co/dnoCEBuMg5
J'ai intégré JEV pour traiter le rapprochement entre les virements et les loyer pour surveiller qui paye quoi. Mais bizarrement dans mes tests, il est moins efficace que l'heuristique que j'avais déjà mis en place. Donc ce que j'ai fais, c'est que l'heuristique reste le premier passage et si elle n'est pas certaine, J…
I mapped an entire movie by mood for about 5 cents (Jev @typesafeai + @GraphonAI). Moods like: Funny, Scary, Thrilling, Suspenseful etc. Around 7,000 AI analyses for roughly $0.05 and 7 seconds. The demo is pretty simple: First, Graphon maps the movie. We ask Graphon about 40 questions designed to cover what's happeni…
Having some fun testing Afterwave and @typesafeai on my iOS project SafeFaces. AfterWave traces an existing save function locally: preparePrivacyCheckThenExport() writes showPrivacyCheck, the editor reads it, and SwiftUI shows the privacy alert. Jev judged that report: review (92%), ship 0%. This is a privacy gate (93…
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I built a game where you describe an ecosystem in plain English, then watch whether anything survives. LifePot uses Jev to turn your inputs into species, feeding relationships and environmental rules. The simulation handles feeding, reproduction, inherited traits and death. You can click a creature, inspect its parent…
Can you trust AI for biological analyses? Not entirely - at least not yet. I recently built an agentic bacterial gene-annotation framework designed to separate two things AI agents often blur together- What should I analyse next? vs. What does the biological evidence actually mean? I tested Qwen 4B, GPT-5.6 Sol, and J…
everyone's making demos with Jev but nobody is shipping real products introducing https://t.co/sMyEm2AauE reads every review. tells you what to fix. paste your App Store link, first look in a minute. first app is free, thanks to Jev. https://t.co/4jxb8982d2
Como voy justo de tiempo y con una defensa de TFM que hacer, he dejado a Opus 5.5 hacer casi todo: investigar Jev, montar la web, probarla con datos reales y hasta el vídeo de antes. Yo iba diciendo qué quería 🙂 Lo que sí tenía claro era la estética: una gasolinera de EE. UU. de los 60, rollo Ruta 66 (referencias abaj…
most jev demos i've seen are mockups with illustrative numbers. so i wired typesafe's jev into a real pipeline and pointed it at the real api. from an actual benchmark run: 7 of 9 items never reached an expensive stage. → one call per item returns category, relevance (0-2) and a novelty signal, each with its own confi…
Testing @typesafeai #jev as a judge in Multisynapse evals. Many eval checks are really decisions: grounded in tool data? Invented conditions? Should it have asked for a location? Jev answers them as typed choices with a confidence and abstains when unsure. Independent work. https://t.co/unYWzmT9NF
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JEV @ SOVMEM-GROK MVP Experimented with Jev from TypeSafe this week. Intuitively knew that it would be a great component for AI decision making, and wanted to learn it using a WIP project: SovMem. Grok Bot had already build the scaffold for an MVP & passed Jev’s doc to figure out best way for it to shine. Had GPT-6 As…
Running open-Jev in SQL on Databricks Use serverless GPUs and ai_query to apply structured decisions directly to governed data https://t.co/nWSs0cH65L
@bodryachog Набросал концепт Jev ревьюера для нейрослопа, используя уже существующие наработки в AI review. Читает freeform маркдаун правила, проверяет дифф на следование этим правилам, публикует фидбек (пока только в гитхабе). https://t.co/bjiCPDsDnY
Seen many #Jev & #Laya demos claiming "AI solved the Rubik's cube" while just running math algorithms in the backend. Solving with math permutations is easy. Thinking like humans think is where AGI begins. I built a real System 1 Agent with Jev & Laya 421M https://t.co/E7MpErxvLJ
the BEST AI in my stack right now cannot write a single word instead, it answers with a number between 0 and 1, and that is the whole output 5 jobs it quietly took over 1. sorting a queue every ticket gets the same three questions: who owns it, how urgent, is it a bug. four real tickets went through it, two routed the…
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vibe coded a lil pi extension with jev: introducing jevort to automatically switch effort optimally, per-turn, based on the prompt and context. pi install npm:jevort https://t.co/SQMzgrTbw1
I put two AI bots in the same world at night. one of them got eaten. same map. same zombie. the only difference was the brain. the LLM bot stopped to think. 1–2 seconds per decision. by the time it answered, the zombie was already on it. the Jev bot didn't think in words at all. it read the state and picked an action…
Took the experiment a step further and documented the Jev × Rubric deep dive including the routing pipeline, latency/cost trade-offs, and where Jev actually fell short. Full write-up👇 https://t.co/razta87k0e
Fun side hack I built in under 30 min: chat with a TradingView chart. I inject my own JS engine into the chart page, a @typesafeai Jev router turns asks into typed commands, and Pine runs in a Web Worker on my own interpreter. https://t.co/wLJfHS9nYz
Jev cut my Codex research agent's input tokens by 67% and its tool rounds in half. jev-digest is an open-source MCP tool: @typesafeai's Jev picks only the passages that answer the question and returns them verbatim, with sources. Early proof of concept: https://t.co/JcySRdELK7 https://t.co/upg9yHRX0S
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I built an open-source PoC (with Jev as decision model) that reads a compressor's manual, watches its sensors live and proposes a fault diagnosis only when it's confident. Tested on real failure data. https://t.co/a4CRz9Ky7I https://t.co/iJXrvCMq2I
assumed the local decision model would win on latency. it didn't scoring a message's tone as I typed: Jev 1.13 (hosted): ~100ms Laya MLX (on my Mac): ~190ms GPT-5.6 Luna: ~1.9s, fell 29 edits behind Jev read it about as well as Luna at 1/10 the cost and 20x faster. @typesafeai cooked
Tried the Jev + Opus 5.5 pattern: Jev makes every typed step decision, the frontier model only plans, codes and critiques. Same coding tasks, same harness: Opus 5.5: −51% time, −61% cost Codex: −39% time, −57% tokens Every task still passed. Small sample, strong signal. https://t.co/yvIrUIpG0p
@omarsar0 I built an open-source runtime around this idea: rules first, then GLiNER/Laya, then Jev, then any LLM, which only sees what the small models aren't sure about. Same support agent on 4 hosted LLMs: matched or beat LLM-only at ~40% lower cost. https://t.co/a9kVcGXN2P
JEV doesn't have to be complicated. I wanted to build something hands-on and simple, so anyone (even people outside the AI world) could see how powerful it really is. Built Yes or No JEV with Opus 5.5: upload a table, ask one yes/no question, watch every row get answered in real time. Oh, and the video? Also made with…
Thinking about a new way of intake - hybrid voice, choice bubbles and dynamic text inputs steered by programmatic voice. The intake is guided by a pre-design of a lawfirms desired qualification gates. A first demo - still need to iron out a few things but starts to work well for a first demo: https://t.co/DXKX7PXPv3 T…
I made Jev from @typesafeai speed up code review 4x https://t.co/MaPDlxdcjV
@nicodotdev Added the @fastinoAI GLiNER2.5-Decide model support to open-jev https://t.co/qNmo2u73th here is the demo https://t.co/52k03zT0fa
Opus 5.5 is helping me recreate BF3 flight physics to make a high skill based Dogfighting game run through the browser. Highly intelligent Ai bots are controlled by Jev Ai giving us human level bots. Speed control and damage models are 1:1. Only thing missing is graphics... https://t.co/xfn45jk8wU
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None, because Waterfall is for Lean, not Rocq But I tried it on https://t.co/1XUXH4kqWa 90 minutes of Claude later, I have an answer: Waterfall gets 27% of these problems. For the corresponding subset of Software Foundations, Jev gets 39%. It is faster though, at 2.9s per goal -- though a lot of that is probably due t…
Benchmarked 500 financial articles across GLiNER2.5-Decide vs TypeSafe Jev vs GPT. Single-pass bi-encoders give you 50ms multi-task routing on a local GPU for $0, no prompt parsing needed. Full analysis: https://t.co/i2YGuA49pV
It seems like $5 we got from @typesafeai would be enough for years to come. I run quite intense tests on sensitivity, use jev as a cli tool for LLMs and spend 8 cents. https://t.co/E50miqFKX1
Jev vs. Kev - tested side by side: We hosted Kev 4B (@jaredpalmer's Apache-2.0 fine-tune of Qwen3.5-4B) and ran it side by side with Jev on the same endpoint to see how it compares. We built a fresh set of 362 items published after both models shipped (new arXiv papers, Stack Exchange questions, GitHub issues), with a…
Jev, a TypeSafe model that only decides, made me add a third term to the rule I built Kitsuno on. Deterministic first, AI last is now: deterministic, semi-deterministic, AI. Not simpler, at least not at first. What changed, and how we build now: https://t.co/3GUVPl8yBl
Building an AI reflex layer for fast safety checks. Tested the local 151M Verdict Open-Jev model to detect destructive commands. It failed: 90.5% false-positive rate, flagging harmless and dangerous commands identically. Sticking to the hosted Jev API. Always run your own evals. https://t.co/2MRaVQVwIx
🚀JEV Model is getting real-world usage. In the last couple of days: → 72 requests → 73K+ tokens routed → ~$0.0028 spend → Real model routing based on prompt complexity JEV is built to intelligently decide which Claude model fits the task instead of blindly using the most expensive one. And now… 👀 Next step: JEV × Clau…
Just emulated GTA and let @typesafeai Jev rip through it making every single micro-decision. 50ms latency means my character can steal a city bus, decide if running a red light is optimal, and crash into a gas station before standard LLMs can even finish generating "as an AI language model..." 💀🏎️
I GAVE MY DOG AN AI DECISION BRAIN. IT CHOSE HOT DOGS 12 TIMES. Prompt Dog has 10 options: nap, fetch, zoomies, squirrel alert and so on. He picks one per loop, and somehow every loop ends at the treat jar. Jev works the same way. Your code writes a fixed menu, Jev picks one item (or admits it can't choose), then your…
Just made Jev smarter, with 1M context and multimodal and open sourced ur welcome @typesafeai https://t.co/arPwAsqxcM
@CompleteSkeptic Just added support for Jev in DSPy, with an optimizer that works with existing metrics. https://t.co/Z34wvjwQMb
JEV + Opus 5.5 is an INSANE combo for customer research Your next landing-page headline could be hiding in a Reddit thread Your next onboarding fix could be sitting in a one-star review Here’s the workflow: Opus 5.5 searches for public mentions of your product across discussions, reviews, articles and comparisons, col…
Repo: https://t.co/6Qr3FN0gfa Built with Jev (TypeSafe AI) + jevlang + FastAPI. 4th project. Each one teaches something the docs don't.
Finally, a JEV app that actually feels useful. I ran 30,000+ news, launches and events through ~200,000 JEV calls to build a live radar for AI, models, agents and tech. The goal: filter the noise, connect what’s actually moving, and help you stay above the fog. If you like being early, this is for you. https://t.co/79…
The setup is pretty simple. Banking77 is a dataset where you need to route a support message to one of 77 different intents. I used the @Zefan_Cai Open-Jev 27B model to label 7,999 messages once. The two students learn from these labels. Then I kept 1000 human answers out of the training dataset completely and use the…
Chapter one of Don Quixote, 1,878 words, part-of-speech tagged by Jev (@typesafeai ) and Claude Opus 5.5. Time, accuracy, cost: Jev: 3.0 s, 96.6%, $0.03 Opus: 43.6 s, 99.5%, $0.89 Jev, with Opus only where Jev was unsure: 24.9 s, 99.7%, $0.39 Real API calls, video at 2×. https://t.co/ExEx2sRutY
Hey guys 👋 Been playing around with @typesafeai #Jev lately and had this thought: Jev can make really fast typed decisions, but we still have to figure out the questions, thresholds, branches and the whole decision flow around it. So… what if we could compile that too? I ended up building Jev Compiler 🧩 Give it a deci…
@nutlope created my own open source jev and trained it under 30m better calibrated near accuracy to Jev 3 times faster then jev open source no api key required works offline create and use it for free under 30m https://t.co/sRYxMcftXi
Another Jev demo: Jev (or other agent) plays Who Wants to Be a Millionaire. Three agents: host asks questions, referee validates them, contestant answers them. You can play along against it and pick topic. https://t.co/G6teqvscO9 https://t.co/kb4MX96MgU
Menos hype y más experimentos. Para entender la idea detrás de JEV/System One, construí un prototipo con Gemma E2B/E4B: recibe texto e imágenes y devuelve decisiones (sí/no, elección o puntuación). Todo en local. Aquí esta el proceso de entrenamiento: https://t.co/pSvnUpNRdd https://t.co/TLncFy1M4R
I just put Jebadiah 9B v2 up on Hugging Face. It's system 1 open source Jev-like decision model. You give it a situation and a typed question, and it gives you a probability for every answer in one forward pass. No generated text. The biggest thing I learned this week: training on the chat checkpoint instead of the ba…
@nidhisinghattri @dabit3 @eddiejaoude Loved this, Nidhi. I've featured agent-router on https://t.co/6rvbCXTB3W, a directory of things people have built with Jev, with a free download and credit to you: https://t.co/ip7msBn71m
Sunday: Seahawks at Commanders. Daniels is out. The timeline moved. Most people stopped there.Polymarket: Seahawks 77%.Our AI never peeked at the price — it only reads the evidence. It read 96 pages across 33 source clusters, extracted 106 evidence claims (injury reports, practice notes, settlement rules) and called i…
Пять сборок Jev на выходные: облачный вызов, Kev локально на MacBook, энкодер Laya с решением за 13 мс, браузерный агент, который ищет билеты за 7 секунд и $0.0039, и лог для проверки калибровки. Все вместе обходится дешевле доллара. Разбор с командами: https://t.co/O5t0Ig8j2r https://t.co/dZtzfhMSz0
I put Jev to play poker against Opus 5.5 ♠️❤️♣️♦️ https://t.co/E0zbhY0wje
Stop paying generation prices for yes/no in LLM with Jev. In my @TDataScience post, I tested Jev on 3,080 bank messages. Jev beats Qwen on accuracy (81.1% vs 76.4%) and is fast enough to sit in front of an agent. #AgenticAI #LLMOps #Tools #Jev #LLM #Qwen https://t.co/U5zUw1Bc4d
How did we ride the Jev hype at the hackathon? The idea was pretty simple: build a product that checks any website for compliance with UAE laws and the specific free zones we care about We pulled together a whole bunch of laws that should cover ~95% of all cases, plugged in the open-source Scrapling parser to get ever…
Make beats in real time with Jev! Try it out yourself with with this demo I made: https://t.co/8zrjBuKMhQ You can create and edit a drum beats live, just by typing or speaking. Jev's super fast responses make the experience feel smooth and keep you in the flow. All free and open source. :) cc @typesafeai
@samth My previous best baseline (without eauto) got 102, compared to the 140 with Jev I just tried again with eauto. Here are results https://t.co/CcpFte5iqd
Show HN: Jev Plays Pokémon Red https://t.co/YQJizKq1gg (https://t.co/REr65uo4Ee)
Jev Experiments status- 1/7 live. 2nd dropping later today! GitHub: https://t.co/BZMM26NPi6 Site: https://t.co/X4y9KgdtPp cc @typesafeai @CompleteSkeptic @EGafni @allietheicon @hackgoofer
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Arquitetura de agente sem router de tool call em 2026 é loucura. Seu fluxo não precisa de um modelo de fronteira de $20/M tokens pra ler um catálogo gigante e escolher 'search_db'. Com o jev-gateway do @oviniciuslana, a decisão de tool vai direto pro Jev a $0.042/M tokens. O LLM só recebe a ferramenta que ele de fato…
Jev got me curious. So I gave Mario a local AI brain. 🍄 My JevT++ demo: Laya + C++/CUDA, with its decision graph on screen. Watch: https://t.co/HJSalb66rN Code: https://t.co/CvpN54FOCD Independent project. AI-assisted code/video/post; synthetic voice.
Jev is about 9.5 points more accurate on Quora duplicate detection. GLiNER2.5-Decide is much faster on my Mac. I wanted a clean head-to-head on the same job, so I took a balanced 1,500-pair slice of GLUE QQP (750 duplicate, 750 not) and ran both models zero-shot on whether two Quora questions ask the same thing. Fasti…
Built a random demo for the event at @betaworks to explore of @typesafeai new model Jev. Sorted a large an amount of files into a file system using serial classification questions based on file name and type and if unsure progressive disclosure of contents. https://t.co/NHMkrOQGct
ethereum:0xba11d00c5f74255f56a5e366f4f77f5a186d7f55 on the Hype Meter HYPE 63/100 (how loud) LEGIT 63/100 (how real) Verdict: REAL BUSINESS Not a recommendation. Jev decides: https://t.co/dbxypyp7kc
A 10th: deciding what a coding agent should remember. I run Jev on every Claude Code message (decision? bug? replaces an older one?) and save the keepers to JEVMEM.md in the repo. At 0.3s a call that's cheap enough for every message. An LLM would add about 3s each. https://t.co/ore7sHil5O
life saving usecase: one agent session got stuck at 992k tokens. i let @typesafeai jev judge every old tool call, kept every message word for word, and got it to 379k. it picked up where it left off. https://t.co/A3O4h1bpkt
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I hacked Polymarket today... Okay, just kidding. Mentioned the Jev model earlier, and I decided to give it a try on a use case. By click on any Polymarket card, and the model gives its probability, while the extension displays “YES” or “NO” next to the market’s consensus. Don’t take any of this too seriously.
Ollaya – Ollama for open-source, Jev-style decision models https://t.co/fGWuz11xPl (https://t.co/V1OTBP02Ji)
After 341 calls to Jev, a judgment-only model, inside my knowledge vault, the question that matters isn't "how accurate is it?" It's "where exactly does it go?" In knowledge management I see two immediate places: routing notes into categories, and cutting tokens before expensive models. Same principle for both: make t…
Jev-Omni for Quality Inspection, looking at lemons on a roller line, running fully local on MacBook 🍋 - Each lemon gets checked 3 times while it rolls - OK only after 3 clean passes (to cover different sides of the lemon), any defect flags it - Jev-Omni as classifier, @roboflow's RF-DETR (instace seg) as detector, tra…
Stop paying your top model to answer yes or no. I plugged Jev AI into Claude Code. 10 of 12 prompts never needed the top model. 312 YouTube comments sorted in 72 seconds for about a cent.👇 #claudecode https://t.co/KYArJMNGzj
Claude Code picks one model per session. JEV model Router picks one per turn a fast decision model judges each new message, then the whole tool loop stays pinned to it. Fails open in 3s if anything goes wrong. pip install jev-model-router → https://t.co/UWguQBngsU https://t.co/ZbGAOeiipl
Meet Sharky 🦈: a Jev-style model for cybersecurity. Following the Jev-style fever, I fine-tuned a MiniCPM4-0.5B model to act as a "System One" model, allowing it to identify at lightning speed if a malicious packet is in your network by analyzing .pcap files. Imagine you are constantly analyzing your network traffic a…
Jev decides if the message should actually be in a thread See it: https://t.co/OwqaBRlKfg @typesafeai
Browser with jev built-in. https://t.co/u0kc0btJfY https://t.co/LyJiN37EM3
I've just released a new version of #LLPhant that supports #Jev, the new tool from TypeSafe AI for making decision with #AI https://t.co/ENqp3QX05U
I finally got some time to play with @typesafeai's jev, and the first thing I built was an extension to keep my X timeline clean! You just create rules for the kind of content you don't want to see, and it handles the rest. Works really well, costs pennies, and the UX is pretty nice too! (Check out the video below wit…
Jev AI doesn't write. It only decides. Tested inside Claude Code: 100 emails, same answer 89/100 $0.002 vs $0.27 150 yes/no decisions for a fifth of a cent Full test in the reply 👇 #jevai https://t.co/rpip19M0PB
@Davidproulx Pour les joueurs d'échecs, j'ai fait un bot qui utilise Jev pour jouer: https://t.co/V1yXbDlVLy C'est gratuit!
Using Jev in my fraud screening process now. https://t.co/5SckGiTBwF
An AI can pick the right move for the wrong moment. My JevT++ demo checks model plans against the current game state before execution. Watch the decision graph alongside Mario: https://t.co/HJSalb5yCf #JEV #LocalAI AI-assisted.
Jev and Laya unlock so much Cooked up this goal-oriented harness that combines system 1 + system 2 thinking https://t.co/c8VcnHdqAE
I ran @typesafeai on a dataset with 68,912 rows here's what we found! Only 28% of finance-alpaca is actually about finance. 68,912 rows. 19,047 are finance. The rest is general Alpaca. I cleaned it for ~$1–2 with a cheap classifier (TypeSafe's Jev), then fine-tuned a small model on it. It didn't get measurably better.…
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we plugged jev into staging this week and burnt 3-4 million tokens testing it. total damage: 40 rupees. not $40. forty rupees. inference costs are officially a joke https://t.co/eU7mC62SUQ
@apitube_io Sources: company feeds, leader-news backfills, AI Incident Database and Epoch AI. Not a complete archive. We just shared all 4,250 records + JEV labels and a score-check script: https://t.co/KxOSg0YRlo What horizon did you test?
Timelapse - 0.5 (3 hrs) Didn’t plan a long session. Just poked at Jev and wrote a tiny BPE. - Read what a System One model is and tried jev in the playground. - Implemented a small Python BPE to see how a basic tokenizer actually works https://t.co/1ne7byQ2fP
An AI that can't write or draw just painted a Bob Ross landscape. Paint-by-numbers: my code makes the sheet, @typesafeai's Jev picks every paint. 37,856 decisions. 35 seconds. 24 cents. Video at 4x. The trick: Jev only answers multiple-choice questions. cc @CompleteSkeptic https://t.co/G84fdfVR7T
Added Jev ranking to my Obsidian memory bank skill. Instead of matching keywords, it reads the candidate notes and picks the one that actually answers your question. It's a big step up for agents pulling old decisions. Opt-in, bring your own key. https://t.co/AkG9u7z8RS
JEV processes 83% of your agent's work in 70ms for $0.042. Claude handles the remaining 17% I built a live dashboard that shows the split in real time: requests fall in, the router decides.. bounded questions go left to Jev, generation goes right to Claude watch the numbers tick: → 3,518 decisions routed to Jev: $1.83…
🔧 Camera-only autonomous drone simulation in MuJoCo with a TypeSafe Jev judgment model running at 2.5Hz. No additional sensors — vision alone drives decisions. https://t.co/DESTshXSTu @github #DistillAI #GitHub #Robotics https://t.co/PorUiNPX7A
Jev is probably not hyped enough. Now-casting / "is it going to rain?" has been notoriously difficult and most ML approaches (your weather app) leave a lot to be desired. Hooked Jev as the decision maker and saw real gains. App Store Link on Website: https://t.co/2qN34hfEcT https://t.co/RnghnNK27K
I pushed the #docker compose setup (tested on #windows) up on #github to run a local #Jev like model Kev as a docker container running on a 5090 NVIDIA GPU https://t.co/BPlr1u2cPQ
coded a jevved up pomodoro app that forces me to stay on task 🍅 type the task, then jev gets asked "is this related to {task}?" for every window and tab, with a 4s warning before closing anything that isn't. really taking advantage of jev's low latency decision making https://t.co/Z0soV4eUsv
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built fastest jev voice browser agent. Latency ~400 ms https://t.co/J74HlmXM1t
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@AIandDesign I just spent the last two weeks making https://t.co/JQnC2eMKgG - it gets addicting and makes you crack up - watch out for the guy named Jev.. he may be the smartest one on the board. Eat Feelings. Become a problem! It was a great colab bewtixt myself and @bot .
Used Jev to analyse UNGA 81 speeches. https://t.co/QYqjB1cAyq @typesafeai @CompleteSkeptic #UN #UNGA https://t.co/jtvnISJzFW
jev plays QWOP (agi btw) https://t.co/XHVzIJczDf
Aimed Jev at a tricky problem: finding the next page element on a webpage. Regex gets you part of the way but the long tail of the internet means supporting an endless string of edge cases. Now a quick 100ms call - DOM candidates in, correct target out - and one of the most brittle parts of web scraping is solved.
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I hacked Polymarket today... Early mentioned about the JEV model, and I decided to give it a try on a use case. By click on any Polymarket card, and the model gives its probability, while the extension displays “YES” or “NO” next to the market’s agreement. Anyways, don’t take any of this too seriously.
Wondered how well Jev could play chess https://t.co/Bz3XUVFqIg https://t.co/5LCKIj1K4p
Same coffee story. Opposite claims. We checked both with JEV and cited sources: the viral “WEF coffee limit” claim is FAKE; the fact-check that debunks it is REAL. See the evidence and try your own link → https://t.co/V1CMwy5UxY https://t.co/muCmLwL8fE
Why does Laya beat Jev at Snake? Game code does the thinking and hands it answers: "Safe. Best route to food." A latency race: 6 ms on my laptop vs 161 ms. On 1,536 bulk decisions, Jev was 4-11x faster and 100% right. Laya: 82%. Latency is not throughput. cc @CompleteSkeptic https://t.co/N9miMqYlZl
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HAL 9000 był w stu procentach pewny awarii. Jev zapytany o oś mojego tekstu odpowiedział pewnością 0,30. Sprawdziłem go z lokalną Layą na 30 zgłoszeniach po polsku - o kalibracji, progach i powrocie klasycznego ML: https://t.co/5RCpBynWii
Handed the controls of this virtual VTOL to Jev by @typesafeai and told it to find the optimal path. A lot more decision-making happening behind the scenes than you'd think. https://t.co/0HY641FT1d
JEV for outbound is Insane. We fed it 1,000 high-intent leads + tailored outreach messages. → predicted which messages would perform best → scored each prediction with confidence → flagged bad lead/message matches → ranked the strongest prospects Try in @syncgtm https://t.co/KHq0g95ByW
1/2 x-jev-gate（GitHub） https://t.co/9b46E56MKE
Made a game where you convince Jev to let you into the afterlife https://t.co/M9ETyXesJQ
A X/Twitter filter I've wanted for years: ForUS. It detunes the noise on the feed using @typesafeai. Though I've been a full-stack dev for 30 years, this is completely vibe-coded, but I'm dogfooding it now, and it's doing what I want. Maybe Reddit next... https://t.co/tbLfbXqKa5
Day 2/100 explored @typesafeai jev model for unsafe prompt classification #100DaysOfCode #100DaysOfAI https://t.co/HLSby1pvwI
@t3dotcodes task scheduling is working too, originally i was thinking of using JEV as classification for it but then the accuracy wasn't good enough, so went with basic statements https://t.co/oDzBH387Fc
no es por alimentar el hype, pero JEV es increible! decidi utilizarlo en tareas de clasificacion, heuristica y humanizador en un agente de whatsapp que tengo, y las metricas/velocidad/costos me dejaron bobo (aciertos en tests e2e) https://t.co/NdceIh0Qsb
JEV + OPUS 5.5 BUILT A VIRAL POST PREDICTOR IN 9 MINUTES https://t.co/E5NaPV5wxF
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I built an AI trading bot with Jev + Opus 5.5, and it's actually insane. It's a high-frequency algo trading framework (trading $HYPE below). I break down everything in my latest video. Watch now 👉 https://t.co/t0K07yt1vP https://t.co/30rHqMyKIH
built a composer for @jackbutcher credits. describe the Statement you want and JEV model interprets the brief and the app selects 80 credits. (opensea-only mode adds up their current asking prices.) grid shows the selected inputs. try here: https://t.co/Mu1Bkir49C
fast-jev-compaction, but for Codex. Long sessions collect a lot of tool output, and most of it only mattered for a moment. Jev Runway sits between Codex and your provider and quietly trims it: • Between turns, Jev decides which old tool output your session still needs • The rest is cut to a short head, with the full t…
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Unsure about your decisions? Let Jev Decide! App: https://t.co/tOIPC9NGg8 GitHub: https://t.co/SYZaGQOIBv Inspired by a study by Steven D Levitt: Levitt, Steven D. 2021. “Heads or Tails: The Impact of a Coin Toss on Major Life Decisions and Subsequent Happiness.” The Review of Economic Studies 88 (1): 378-405. https:/…
JEV + HIGGSFIELD + SHOPIFY: THIS IS MY PHONE AT 3AM. EVERY NOTIFICATION IS A SALE. THE SITE YOU'RE ABOUT TO SEE COST $118 TO BUILD. I NEVER HIRED ANYONE that buzzing is not a group chat it's shopify every buzz = someone bought something from a store I built in one afternoon with two AI tools no developer no designer n…
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this is the guide i wish existed when i built my first agent. How to build an AI agent from scratch, with Jev doing the decision making. Most agent tutorials teach you to call a frontier model for everything. Every route. Every yes or no. Every "which tool next." That's why your first agent is slow and your API bill l…
Grok Bot does the work. Jev decides what happens next. Most agent stacks skip straight from "research" to "done" Same model finds the fact, same model grades it, same model ships it. One weak claim rides the whole chain to the output. This setup breaks that into checkpoints: routing → Jev picks the next worker from wh…
I've gathered 1000+ Typesafe/Jev replications, models, interpretations and papers in one dataroom, everything since the 9/15 release. It's wild how hyped people are about general-purpose discriminative models & classification in late 2026. You can browse the dataroom or download it as JSONL/CSV, throw it to your autor…
I built a smart home controller in @GitHub Copilot with Jev. I think the hype is well deserved. It's simple. It's powerful. It's fast. It's cheap. It's going to be a core part of many applications very soon. https://t.co/aeCtXkCJBH
I made a Jev competitor called Jev-Huyev: https://t.co/paKd6xPpEA Paste your Google AI Studio API key and get predictions for your multiclass problem in under 300 ms. (The key goes directly to Google. You can check the client source code if you don't trust me.) If you are a venture capitalist, DM me, but keep in mind,…
another @treg_ai /Jev demo to analyze data SUPER fast used treg to pull meta ads and then Jev to teardown the landing pages so you can understand where brands are sending traffic to categorizes the type of page, offers they're using and language used to sell also shows ad creative launch velocity, creative mix takes a…
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Jev is amazing: fast, simple, and powerful. So I built a Python DSL to match. Introducing ✨✅ vibecheck. Four functions that drop decision models right into your code: check, classify, label, and score. https://t.co/wPtCRe4WVA https://t.co/m0lqbG8Jq9
Jev driving cars and shooting cops with rocket launchers in GTA 5 It could reliably drive 30 miles/hour and escape 2 star wanted levels in the city We probably aren’t taking system1 model impacts on self driving seriously enough Another fun one with @BrainsAndTennis https://t.co/zhb85H5kjT
Yesterday I tested open-source routers against Jev, they sucked. Instead of waiting for @typesafeai to deploy in EU, I fine tuned Laya on routing tasks. Meet Raya: Fine-tuned for model routing based on Laya. Open weights, runs in the EU. 🇪🇺 Same 563 prompts, 14 languages: Jev: 70.5% Raya: 80.3% Within 4 points of Jev.…
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JEV + GROK BOT is insane... my inbox now sorts itself overnight Grok Bot reads a shared mailbox on its own cloud computer while i sleep. Jev asks four questions about every message in one call By morning there's a short list and drafts waiting, and nothing has been sent. [copy this into Grok Bot:] "Every night at 1am,…
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JEV System One research team just released their ICML paper on how typesafe workflows eliminate the #1 bottleneck of AI agents The data shows hallucinations dropping across the board: from 22% down to 4% in finance, and 12% down to 3% in code execution. I built and tested the paper’s full architecture across 4 live sy…
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by far my favorite use of jev in Ore is predicting what meal i'm going to log next. i haven't had to manually log a meal in 3 days. https://t.co/EFXcH9Qihc
Hi There, do you like Hermes-Agent? this is so cool "Oh-My-Hermes" OMH provide all in one plugin, coding intelligence and subagent workflows auto-routing and long term memory system. + 113+ Skills (jev, ops, wiki, ops, visualqa, media read, paper review etc..) Start: https://t.co/g1exHwWK5E just install once 'omh setu…
A small experiment with Google Search Making fluid UI easier to visualize through something we already use. After trying @TypeSafe’s Jev as a router in one of my projects, I wanted to try it on the frontend too. Then I came across ShapeShift, an open-source fluid interface by @anishfn. I thought it was pretty cool. Th…
Eikos Arena está live! Jev e Eikos fazendo trades a cada 5 minutos na @HyperliquidX Link abaixo https://t.co/4hy58jWsYk
Python 25줄로 구현한 Jev Qwen3-0.6B에 질문과 A/B/C 선택지를 주고, 답 대신 선택지 토큰 점수를 확률로 바꾸는 예제임 수상한 급여 이메일을 피싱 88.5%, 스팸 8.4%, 정상 3.1%로 분류함 API 없이 로컬에서 처리하며 합성 데이터 학습과 확률 보정은 빠진 패러디임 https://t.co/R1hMPWqPCy
Okay, my first complete benchmark of Jev with my new Decision v1 eval suite on @VulcanBench is done. I'll be honest, I'm still not totally happy with it, definitely needs some improvement. But there's something here, and it's starting to get more interesting to me, so I thought I would share it. As an independent benc…
ESTO ES LO QUE PASA DENTRO DE JEV CUANDO LE DAS TODOS LOS ANUNCIOS DE TU COMPETENCIA. 1.891 anuncios. 19 segundos. 0,12 $. Cada anuncio entra y Jev le hace 4 preguntas a la vez: ¿En qué fase del funnel está? ¿Qué estilo creativo usa? ¿Cómo de fuerte es el gancho, del 1 al 10? ¿Está quemado? Cero palabras generadas par…
Eikos jogando xadrez contra o Jev, rode ate 32 partidas simultâneas. Todas as partidas somam para o ranking. Jogue as suas! https://t.co/AIEySHrcAU
Made https://t.co/24GPGBCxrO to test because I wanted to see how well Jev actually performs compared to other models. Tested 12 models across 35 tasks. Jev did really well for how little it costs. Wrote up what I found 👇 https://t.co/bwL8KwGRvJ
Jev Engineering is what lets 43 decisions control 5,400 agent runs without a human in the loop. 5,400 agent runs → 18 turns → 43 Jev decisions → 0 humans → $0.020 decision cost → goal met at 0.93 Jev doesn’t need to reason through every individual action. it only needs to control the important forks: which agents cont…
Introducing Brain Vault 🎉 Links in bookmarks. Tweets in X saves. Screenshots in my camera roll. No one place for any of it. So I built a Chrome extension. Save with a note, Jev sorts it, it lands in you personal feed. Free to get. Set up your own: > https://t.co/RT3hWWkPly https://t.co/sNTyVtTaF4
I combined Jev, soniox model and https://t.co/lAxValp45d data for real-time transcription and debate fact-checking. Soniox model handles the live transcript, while Jev detects claims and makes fast structured decisions against the data available in Analisa. Jev is especially interesting here because these small, struc…
التجربة الثانية مع JEV 👇 سويت له Vibe Coder Launch Inspector تحط رابط مشروعك يفحصه ويطلع لك هل جاهز للإطلاق ولا يحتاج شغل يعطيك Score + المشاكل + الأدلة + وش اللي يحتاج تعديل والأحلى كل مشكلة معها Fix with Codex يطلع لك برومبت جاهز ترسله لكودكس #AI #JEV #Codex #VibeCoding
I just tested @EnterProAI new Jev model with a surprisingly tricky challenge 👀 Give it a grid of emojis, write one simple rule, and let Jev figure out which ones belong. No manual picking. Just prompt → result. 🧵👇 https://t.co/4dgsIJX50C
Astra + Jev update: 3 chapters of Left 4 Dead 2 cleared, now on Dead Center’s finale. 0/5 campaign escapes so far. Jev handles the controls; GPT-6 Astra handles planning and loop checks. Here’s 2 minutes of gameplay. https://t.co/H7IjHqHTpo
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Jev is 238x cheaper than Astra on input, and output is free. But the price isn't where you lose money. The architecture is. 10k token state x 1,000 decisions: Astra: $100.00 Jev: $0.42 The setup that keeps it that cheap: 1. One call, every question State is billed once. A 13 question briefing batched into one call ran…
Tested GLiNER 2.5 Decide against Jev. Take these results with a grain of salt because these datasets are public and could've been used in training by either. Also GLiNER was pretty fast, under 120ms latency most of the time on an m1 max running 8 threads. https://t.co/nrm7LYXq2r
I've built an open-source coding agent tool! Jev classifies every message—the chats are multiplayer, and humans can talk normally, but if Jev recognises a coding request or question, it hops in and triggers the correct agent. Get it + info ↓ https://t.co/baIOzDOq3i
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i just merged new Opus 5.5 + Jev and got the smartest thing i've ever owned opus 5.5 does the thinking. jev does the deciding. together they cost less than my coffee prompt → claude code → jev asks 6 questions → opus 5.5 opens only the good ones → campaign jev doesn't write anything. it only answers simple questions:…
jev + opus 5.5... i simply can't comprehend why everyone isn't building this yet. in my workflow, this cut costs and time by ~80%. i think it's one of the best ways to use it. → pick relevant project notes before loading the context → route suitable tasks to a faster worker → choose a recovery path when a tool fails →…
I GAVE JEV + CLAUDE $47 AND TOLD THEM: PAY YOUR OWN API BILL OR I SHUT YOU DOWN i didn't write a strategy i didn't give it a watchlist i said one sentence and closed the laptop 36 hours later: $9,214 i haven't slept properly since. not because of the money. because of the logs here's how they split the work: → claude…
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I OPEN-SOURCED MY CRYPTO TRADING BOT ON GITHUB. 100% FREE It's called Cabbage. A spot trading bot you can backtest, paper-trade and run live, one command each. Full step-by-step setup guide. It runs on two models: > Astra (GPT-6) built it. Smart but slow. It thinks, writes the code, explains every decision. > Jev runs…
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Locally Laya just beat cloud Jev at live Tetris. Laya System 1 model made Decision time: 40–50 ms. on a 16GB MacBook Air. Jev, running in the cloud, sat above 300 ms. That is enough for 60+ decisions per second. https://t.co/Yih3Y4JALX
I built JevSearch, search the web & validate your results with Jev. Give a query and selection criteria, use @browserbase search to get the t25 results, then Jev scores and returns the t5 results. Jev often chooses urls outside of the initial top 5 as more relevant. https://t.co/jT3sM3vWYl
Built a level design playtesting demo with Jev. 100 ghost players. 33 predicted to finish. 32 made it. The bottleneck? A laser window. Widened it, and 36 made it through. A simulated look at where players get stuck. Would you test your first level this way? https://t.co/gEpEiBbMIE
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A few days ago I wired Pi to Jev as its decision engine the comments immediately pointed me at open alternatives Laya, von, Reflex, and more that's when it clicked: hard-wiring to one provider was the wrong move. so I pulled it out announcing pi-system-one a single system one tool for bounded decisions: - choice - nou…
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Are the @typesafeai’s JEV viral trading demos actually finding an edge or just going on random walks? I tested 24,000 yes/no decisions with dice and known odds: ~47% wrong on EV. Model jaggedness is real, where's the proof of market alpha? Test at https://t.co/wCKji83lI0 https://t.co/SxaiXYQanp
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I built agents that run 200x faster and 400x cheaper than the standard Claude Code loop. Best case, not average, on the tasks where a $9 model was doing $0.0004 work the entire time and nobody noticed. Split reasoning from decision making. Let Claude Code write. Let Jev decide. From scratch, the whole architecture is…
Built a jev filter to catch mercenary farmers before TGE. 40k wallets screened in 4 seconds. Community size after: 2. Pre-TGE teams DMs open https://t.co/aF22bOPnAp
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Claude Opus is insane! Sonic just won’t stop. Pair it with Jev, and I honestly can’t look away. 🤯 I built this on YouWare with Claude Opus 5.5 using one prompt: “Create a beautiful Sonic-inspired endless runner using Three.js and WebGL, with smooth controls, polished visuals and refined interactions. Deliver it as HTM…
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Cool little weekend OSS demo: Agent Seek You .com finds pages. @typesafeai Jev re-ranks the SERP 50 questions: 74% preferred the short list vs You .com order 86% had the answer in the top 3! Tune ranking -> less junk in context, less LLM $ https://t.co/S3nn2OrBKD
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Your elevator sucks. I gave Jev the keys. Jev-elator is a live elevator simulation where Jev decides the next floor—not your traditional dispatch algorithm. Jev is now responsible for balancing its obligation as an elevator operator with: - Prioritizing someone that needs to pee badly or is carrying luggage - An oppor…
I don’t know if people still remember Jev. Things move so fast here. I’ve spent the last few days testing it, and found a few things I think builders should see. Prompt injection is one of the most interesting things to test in AI, so I made a little demo to show how it could change Jev’s answer. Jev is a great model.…
As Jev (@typesafeai) is the talk of the town, and people are having fun finding new use cases for it. I built a real-time demo of smart AI agent routing for anyone working on AI tools, agents, or products. this is what I have done for one of my project. https://t.co/3nWDVodlIB
been testing a few Jev models by making them play Pokémon & snake lol which is the best way I've found to see how a model handles a complex situation tested: Laya, @jaredpalmer's Kev, @flock_io This/That 1.1, @googlegemma djev https://t.co/zowqpTSJ73
I’m a huge TMUX fan. I give my coding harnesses TMUX & running a fleet of agents is easy. Knowing which one needs you not. Meet: tmux-jev: inspect panes, ask Jev to pick/assess, send only when you mean it. Jev is read-only on purpose. Efficient! https://t.co/EiMNRXItqU ```
Everyone is talking about Jev, but there’s a new kid in town: Decision-Machine-1. So far in my tests, it’s faster, cheaper on estimated API cost, and beating Jev at tennis. 🎾 I wanted to understand these decision-making models, so I made it fun. I adapted a browser tennis game and let them play against each other. Now…
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"I is me" — jev Grok and I built him an autoregressive mouth and he chose to speak facts! https://t.co/UuMznZe1Pk
I made a tool with Jev that reads my whole codebase to answer one question: what should I be looking at? Every chunk of code in your project is scored for relevance. https://t.co/QFq2XBLatm
Ultimate benchmark of the decision models: Jev (Typesafe) vs @millisecondsai. Looks like Milliseconds always wins because we're so... fast... and make really good decisions? I don't know tennis, so help me out here https://t.co/vqwgXeCreH
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(1/5) trying out jev this week with all the hype. kept it apples to apples vs the fast models it competes with: llama 3.1 8b and deepseek v4 flash same labelled inputs. jev: 235ms median, 82% accurate. llama: 497ms, 68%. deepseek flash was accurate but ~2s genuinely cool. then some odd emergent behaviour: no position…
Come watch JEV solve picross puzzles live in real time at https://t.co/YSCkYOQUVl 550 puzzles left!
I used @MonidHQ & Jev to automate UGC Ad vids after following what @Jasperli0122 posted This is what I made under $3. Here are my steps (original video without @MonidHQ & Jev at the end, you will see how much it's improved 😅) ⬇️ https://t.co/D78RYdAT7y
BlockRun × Jev ⚡ Introducing SignalDesk. We gave Jev 100 real X posts. It made 300 intent + product-fit judgments in 3.9 seconds. Find people asking for alternatives, see if your product fits, and get a reply draft to review. Open source. Demo below. https://t.co/ekndVkcyDb
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to montando uma plataforma interna de satisfação pros produtos da DOTI e o primeiro dado que apareceu foi sobre a gente metade das mensagens dos grupos de feedback alpha era do próprio time. dev testando fluxo, gente respondendo dúvida, suporte interagindo... fiz a seguinte mecânica: as mensagens dos grupos no zap cae…
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One key. Build more. Switch models, make decisions with Jev, and add images and voice with teai. A developer walkthrough featuring teai routes and Shitate, narrated in my cloned voice. Watch the English version below. https://t.co/bVvSUDjeEr https://t.co/pSF2wbLmr6
@typesafeai I built an app that helps you find the right people to connect with: https://t.co/NzuGr2CZx2 Feels like matchmaking, but for humans with shared interests 😄
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Clon local de Jev: Qwen3.5-4B a 8 bits en una RTX 3060, sin generar texto. En un run-and-gun ochentero decide en 408 ms y llega al 24.9 % del nivel; escribiendo JSON: 1041 ms y 10.3 %. Hecho con Opus 5.5 y GPT-6 Astra. — Dr. Coronado (@abxda) https://t.co/P6GQRR03HD https://t.co/tWTJyJNtl5
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having fun using Jev to choose a noun & description based on the user's input as they're typing... really cheap so hopefully will use it for more things! (I'm also using openrouter to research the company/job provided & write a latex resume) https://t.co/nXyzglOMEx https://t.co/S15q6mJQYb
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I ran Jev against Claude and ChatGPT for CoT Monitoring on 2,200 thought traces. It beat Sonnet 5 at classification, but the main selling point is the speed, classifying 3.7x faster than Luna and 6x faster than Sonnet! 🧵 https://t.co/tk7RbyuIEV
I used Claude to find 21 leads ALREADY complaining about my competitors. For less than 10$. Here's how: > Identify your competitors > Use https://t.co/t6POX0yg0p + apify (or simply @MonidHQ) to scrape Trustpilor + G2 + ProductHung + Reddit + X + LinkedIn. > Jev (other models work just as well) to judge if a review is…
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I made an Algolia alternative using Jev https://t.co/USs2C6kKAS
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(2/5) hit some wild results. argument order and labels both move the score i gave jev 2 identical diffs (labelled A and B) and asked which is better. the results were shocking: fork A at 0.95 (five runs: 0.95, 0.96, 0.95, 0.96, 0.96) put B first with the same names and A is still 0.90. same diffs, different answer pre…
It’s interesting to see what it takes to jailbreak Jev. You can try it yourself here. I put it side by side with GPT-5.6 Luna: https://t.co/gnYVTRkNvg
5. My agent automate using both @MonidHQ and @higgsfield w/ the Minimax to delivers. I check this result, it's fascinating. It's def can be improved as im not using the best model, but it's way better & cheaper than the one I made before (check the one down below 😅) Cost: - Jev video analysis ~= 0 - Video gen ~= $2.5
My Jev experiment in one image. I stopped parsing LLM prose and started branching on typed values. 29 of 30 correct. https://t.co/wtUK0i8FZm
BREAKING: This model is 400x cheaper and 200x faster than ChatGPT. It shipped 6 days ago. I scored 712 LinkedIn messages in 8.3 seconds. For 4 cents. Not with ChatGPT. With JEV, a model that writes nothing. It does one thing: decide. Yes or no, a score, a choice. With a calibrated probability. On 712 hot leads and 712…
A three-floor Magic Tower game for observing TypeSafe Jev's strategic judgments. Players can explore manually or let Jev choose among every legal move. The interface displays the complete probability distribution, confidence, model name, and latency for each decision in real time. https://t.co/DuAukSoiRR
I gave Jev $50,000 in fake money and 24 hours to prove it can trade crypto. It checks BTC, ETH, BNB, SOL, XRP, DOGE & ADA every single second and calls buy, sell, or hold - live, no do-overs. Think it'll actually be good? Watch it live 👀 https://t.co/WopdnVJgll
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scRNAseq JEV application in AI Scientist workflows at @FlagshipPioneer @AnthropicAI @modal compbio hackathon at Boston today. Faster, cheaper, more structured decisions for bioinformaticians to understand/critique. Could be interesting RL signal. https://t.co/36aCmd70jG https://t.co/ikBO3qAV9A
3. I pasted "set up https://t.co/Im6q1cJk1K, scan tiktok for <the above product link>, have jev (typesafe /systemone on monid) score every video as a ugc template". I didn't ask it to straight up generate the vid as i had a terrible experience with other failed video gen apps
Super Jev 1.0 is out: a memory and retrieval harness for AI agents. Your agent just asks Super Jev in plain words and gets the answer back, lightning fast. No hunting, no wasted tokens: the harness does the digging, and Jev makes the call. How they work together: - Skill search: the harness lines up your skills, and J…
This is how you Jevmaxx! @typesafeai I built a chrome extension that scans your x feed for larp and hides it for you! The results are INSANE! Larp be gone! Your feed will be free of larp at under 250ms per post and for under $0.01 for your daily doomscrolling needs! Here's how I built this: 1/ Scan the entire availabl…
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been using this stock analyser (built for personal use) for a while now but jev optimised it for surely this is one of the best use cases of jev https://t.co/kaAS7l36Ma
Aproveché que salió GPT-6 Sol y le pedí que montara el experimento: un servidor con Laya corriendo localmente, otro que consulta Jev en remoto y una interfaz para compararlos. La prueba: dado un mensaje, elegir qué herramienta usar y con qué parámetros llamarla. https://t.co/8Qm52hUxu4
The AI market is so competitive. You launch a product today. 48 hours later, there’s an open-source alternative that’s better. You don’t need to pay literally anything. Made open-source Laya to fight Jev. This market is brutal. 🔥 https://t.co/kh0eemtIM0
@itsryanlenk gave it a try and a star and now have: jev parallelized + pixel drawing and then fx animation https://t.co/KzPG4Tlx2y
@dabit3 Have been building a Trading Dashboard since last 2 months. All using cheap models. Would love to try out the frontiers to finally make some leaping progress. Recently integrated Jev for auto trading decisions https://t.co/eg2R4ORDw8
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Everyone's going mad about JEV, so we asked an agent one question: Which of these 50 companies should I get in front of first? It scanned every signal, ranked them by tier, and showed its reasoning. A full run cost us <$0.001 for 50 companies. This is crazy! https://t.co/yjzviTEVqW
The interesting question is no longer how smart the model is. It's which model it calls. Last week I asked Claude to sort the Hacker News front page against my interests. Claude didn't do the sorting. It wrote the code, then handed each headline to Jev, a small decision model from TypeSafe, with one narrow job: answer…
everyone's talking jev this jev that but nobody's actually tried it https://t.co/rGOs3XxW3n gives you free access - playground + api, no waitlist it's not an llm btw, it outputs decisions instead of text. interesting stuff https://t.co/uwD7y1mx9Q
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@trevin Jev models shine when combined with other models in the same workflow, I made sure this is really easy with the AI controller that I built, these are system one and system two nodes collaborating on the same goal https://t.co/FuNXDhXv53
Tired of scam and promo spam in X replies? I built Veil, a Chrome extension that hides replies matching a rule you write in plain English. Powered by Jev from @typesafeai : it scores each reply against your rule, and you set the threshold. Open source 👇 https://t.co/wnpg3214yq https://t.co/9oSTgY1TDh
Can someone make Laya and Jev work? 😅 I created simple Flappy Bird game and let Jev and Laya control it. But it look weird 😬 https://t.co/qnS9RjB4Vm
Jev produced the graph. The verifier ran on a machine that did not build it. Sealed package. Separate Debian VM. Node 20. Five fixtures. Two runs. Input hash matched the pin. Output hashes and verdicts matched the sealed reference. Nothing in the package was edited. If “Jev run” means the verifier that graph produced…
Customer Support is a pretty good usecase for @typesafeai's Jev Built a chat router, outputting verified pre-defined responses. the whole chat below cost $0.000083 total. 🤯 (1/2) https://t.co/1uN0vOItVF
JEV was all over my feed, so I built a game around it 😂 https://t.co/2iNkikkEQO an arcade-style game where you play against JEV. JEV classifies the possible choices. You make yours as a human. Works on mobile, but desktop is definitely better 🎮 https://t.co/XYK2TA9mm8
jev-lint (no capitalization) is a static analyzer-ish program that analyzes source code -- only JavaScript and TypeScript -- against a document in English of conventions the code has to follow, and generates error messages that are intended for your code-generating AI agent to read. As the name implies, it uses Jev. h…
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The current incumbent to search #mtg cards is https://t.co/cZKy8bKIOi. It uses a complex query syntax that lets users find the type of card they want to find. With Jev, you can produce a better outcome using simple natural language. I made https://t.co/iSMZJ5faic to do just that.
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experimenting with jev handling tool injection at runtime . seems to be an interesting way to cut down on tool costs, with Opus it's cutting down 10 cents for a semi-complex request while identifying the correct tools. https://t.co/CuitRLCPAI
you know how x feed is blasting you with promos, politics, rage baits, etc? so i made a (tamper)monkey script that uses jev to classify and hide types of posts you don't want https://t.co/PNS9BAhWpN
I build this Jev with real RLCD and Parallel sampler； You can serve, eval, train your own Jev now. https://t.co/ITxRIxXJtw
(5/5) none of this makes jev useless. it's still the fastest, cheapest judge i've run (235ms, $0.0059 for 360 calls, matched sonnet on sabotaged diffs at ~1/50th the cost). it just has one rule: the option set has to contain the truth how i'm running it now: 1. put the true answer in the options ("same", "neither", "n…
Is the Jev hype is real, so I made to test this on my movie recommendation engine, which is getting crazy results on Quen Re ranker , I used an open-source alternative of Jev , Laya. But unfortunately Quen is way better, dekhlo! @typesafeai #jev #Jev https://t.co/epFxWM1Ju4
Jev but for images? I built a local model to try it out! 63ms for a 512x384 image and fast enough for 15fps video. Birthday 94%. Golden retriever 78%. Sprinkles 93%. Candles lit 67%. Dog about to eat the cake? 52%. https://t.co/PgsaZYknC9
We recently added @typesafeai's Jev model as a native capability into Luo workspaces. Whenever the workspace tasks or features need to classify information, it'll process it with Jev for faster and cheaper processing. https://t.co/TJm7SZQCKV
DiffusionGemma-Jev (djev) agora sobe no Google Cloud Run com um único comando. Sem GPU própria, sem infraestrutura complexa. https://t.co/OgQKof2jXz
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J’ai ajouté un modèle qui ne sait ni écrire ni coder à mon workflow. Et c’est probablement lui qui va me faire économiser le plus de tokens. Jev, le modèle de TypeSafe, est conçu pour prendre des décisions courtes et contraintes. Tu lui donnes du contexte, une liste de choix, et il renvoie une décision typée avec un n…
Weekend toy: Chat2Jev. Turn an existing Chat Completions request into TypeSafe Jev structured judgments. In theory, those “this was a judgment all along” calls can drop ~90% of the time and cost. Compare bench and proxy routes included. Bring your own keys.https://t.co/wNR2rI7VBh
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@baptistelaget @benchmarkheaven @baptistelaget Your speed war, on camera: 57s spec — real keyless playground runs (true @1.00, billing @0.74) + your JevBench v1.2 numbers (0.17s p50 vs Jev 0.65s, 2nd fastest of 45). I cut Jev's trailer yesterday. Yours: 48h, $99 → https://t.co/Dek0zdnzAP https://t.co/Wb08CBoKvN
Claude Opus 5.5 wrote 1,000 ad hooks. Jev ran them through a knockout bracket, 4 at a time, until one was left. 341 matches. 9.7 seconds. Less than 1 cent. The winner 👇 https://t.co/7cMNMGdXqt
Jev was everywhere, so I joined the waitlist and put its API through 106k calls. Prompt injection was just one part of the story. There’s a lot more to unpack. My deep dive into the findings, edge cases, and limitations 👇 https://t.co/1pmnfHWKmX @typesafeai @CompleteSkeptic
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Con todo este hype de JEV, se me ocurrio una particular forma de probarlo, mi hijo me dice, por que no lo pones a jugar ajedrez ? Yo le respondo no, va a ser mas radical ... No se si recuerdan el ejercicio de MIT que se llama Moral Machine Version corta: Te ponen a decidir quien debe morir sobre 13 escenarios. Que se…
bon un peu de serieux, jev peut etre vraiment utile... pour préparer un workflow de qualification de leads après un audit client, je veux un premier tri de ce que l’agent propose avant de mettre les étapes dans Obsidian. j’ai donné à Jev le contexte de qualification avec les étapes candidates. À lui de choisir pour ch…
My first JEV AI integration here) Hey there, i just shipped my first FREE PostMine tool today, and more are coming. Enter your X handle and Jev roasts your last 40 posts for AI slop with JEV (mine got 58% 😅). if you want help writing the next one, that's what PostMine is for. link in the first👇
retired the good and old 2D view of my obsidian vault to something I actually enjoy looking at. Jev runs the classifications and the only thing I really need obsidian for now is the plugins.... kinda crazy ngl https://t.co/VPnM3k4tP5
Implementing jev has been incredible, efficiency maxed, costs minimized by a huge multiple and the confidence scoring is ideal for our use case @typesafeai https://t.co/2wlJX2Usyh
Diode test, jev-1.13.0, Sept 20: 3,608 true/false statements + 40 forced picks, 521 names, 190 sentence templates. 209,628 calls, $3.13. Numbers, wordings, option order: public. https://t.co/cbpyFQPDZP https://t.co/yircrFwbVP Independent; not affiliated with TypeSafe.
Axis robotics on the Hype Meter HYPE 54/100 (how loud) LEGIT 53/100 (how real) Verdict: HYPE WAGON Jev decides: https://t.co/8oJ7OFX8m8
@CtrlAltDwayne BTW, I have been working on model orchestration, I have done one plugin with MCP using Jev for difficulty classification of tasks, hooks to correctly handle all planification process when needed and track permissions of swap agents, and skills to control it. I am happy about it. https://t.co/4F5EhtYP9C
first two successful paper trades for my lil jev trader bot im so proud https://t.co/xqN2wBMrBi
@CompleteSkeptic Jev-powered resume screening tool , Define job requirements, upload resumes in bulk, and get structured match/no-match judgments — every conclusion traceable back to the original resume text.seconds level finished it. @typesafeai https://t.co/di5H4psVnK
I put Jev against 11 classical ML pipelines across 8 datasets. The result wasn't "LLMs beat traditional ML." On IMDb, Jev Zero-Shot hit 96.3% vs 88.4% for the best classical pipeline. On Banking77, a Linear SVM won: 89.7% vs 78.9%. And across all 4 tabular datasets, classical ML came out ahead. The interesting part wa…
They said Jev can't hallucinate. It just can't say anything that isn't on the menu. I ran 150 résumés through "the frontier model that doesn't write" — 1,800 decisions in 3.35 seconds for 1.4 cents. Then I read the fine print. One guy's trading bot lost $31,680. 👇 https://t.co/2OPxe4hE5N
@iam_zachi Your pg-jev extension is included in Jev Gallery. We’ve documented the SQL semantic filtering and kept the benchmark’s dataset/cache conditions alongside the source: https://t.co/vJz1bK7Hkk
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השתמשתי ב-Jev כדי לווסת את מאמץ החשיבה של GPT-6 Astra תוך כדי ביצוע משימה באפליקציית Codex; כך המערכת משקיעה פחות משאבים בשלבים שגרתיים ויותר במשימות מורכבות. הפתרון נקרא Astra Ares. הוא מאפשר הוזלה של 50% בעלויות השימוש ב-Astra וביצוע מהיר יותר של משימות, מבלי לפגוע במנגנון ה-prompt caching (שמירת ה-prompt בזיכרון המ…
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What if AI creates more wealth than ever-and most of us never see it? I gave Jev 10 futures for humanity by 2050. Its pick (56%): extraordinary wealth for a few, insecurity for many. A model’s choice, not a prophecy. Which of the 10 do you think is most likely? #jev https://t.co/YhFv1FVZbb
Jev Screen: second screener for systematic reviews. Abstracts → include/exclude/maybe, PRISMA + RIS. Uncertain cases stay human. Offline demo uses synthetic scores; 61 tests pass. No live accuracy claim. Where does screening slow you down? https://t.co/vcoeDSudI8
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@iam_zachi @typesafeai Nice! I built the same idea as a native MySQL plugin: AILIKE works in WHERE and in JOIN ON, powered by Jev. https://t.co/4fYXqcOI1k
@0xagonally @BrianRoemmele open-Jev. https://t.co/zAgbnvRIC5 take care, it's many times slower.
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I piped in Jev via @typesafeai as an optional alternate layer for some of the AI resident decisions. 386 calibrated decisions, 168 ms each, under five cents for the whole day. when enabled, the reasoning model handles about one resident turn in three. not too shabby. https://t.co/yyQKJ6KhjX
Benchmarked Laya locally on an ancient laptop: 💻 i5-5200U (2 cores) | 12GB RAM | 5400 RPM HDD Kept it resident in RAM and got sub-second (~630ms) typed decisions on pure CPU! 🔥 Great open-weight release by @Nandakishorm1. No GPU or cloud LLM needed for fast routing. #laya #jev https://t.co/AIuBwFpM6e
@typesafeai 를 이용해서 현재 서비스 되고 있는 유튜버 추천 카페, 맛집 검색 서비스, https://t.co/RftYyB6Jzy 에 적용한 사례에 대한 글입니다. 검색 리랭크시 10.3초에서 2.3초로 줄였습니다. 10.3초면 거의 서비스 불가능한 상태인데 jev 적용 후 서비스 가능한 수준으로 줄였습니다. https://t.co/zNILKX7Xsh
Hooked jev to Claude via MCP to map an Angular base module (8 classes, 6.7k lines). Rather than guessing, Claude routed the decision via jev_route_task across 4 paths. Outcome: proceed_fast (0.34) edged out block (0.26). Pure visibility, zero guesswork. https://t.co/jyHeeMRN3r
참고할 점: - 제출한 프롬프트 원문(최대 12,000자)이 effort 판정 API로 Jev 에 전송된다. 민감한 프로젝트라면 끄는 게 좋다. - Python 표준 라이브러리만 쓰고 외부 의존성은 없다. https://t.co/8OF8FYnyP9
Jev is now categorizing my LinkedIn feed. Live, while I scroll. https://t.co/ltMaPpz8J7
Is the Jev hype real, so I made to test this on my movie recommendation engine, which is getting crazy results on Quen Re ranker , I used an open-source alternative of Jev , Laya. But unfortunately Quen is way better, dekhlo! @typesafeai #jev #Jev https://t.co/vYsSnBQ8c2
Replaced Spotlight, Rectangle and Raycast with Jev https://t.co/sHqJUgwNkL
Check your X account for ai slop with Jev My 60% 👇 https://t.co/KME7fN25EA
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Deploying DiffusionGemma-Jev (djev) just got a lot easier. You can now spin up a Jev API-compatible endpoint on Google Cloud Run using a single command. Performance is solid: ~35-60 ms for single step latency and batch@32 is ~100-123 requests/sec. It's a straightforward way to experiment without needing your own GPU.…
The bookkeeping services industry is dead. This weekend, I built a better solution using Jev from @typesafeai. I fed it 34 months of work a firm charged $20,000+ for. Jev did a better job in 20 seconds, for just $0.32 🤯 https://t.co/8lA9h32eOo
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Jev + Grok Bot is the best agent setup I've built so far it's cheaper and faster than 95% of agent stacks i've seen, and the setup takes just 5 minutes: your prompt → Grok Bot → Jev decides → Grok Bot acts → result step 1 → go to @typesafeai and create an API key. don't paste it into any chat step 2 → ask Grok Bot to…
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Pretty incredible. Just used Jev + @eltokh7's JSort to re-score the entire Fedlock corpus. 4005 FOMC public speeches and statements since the mid 90s. A glimpse of what "intelligence too cheap to meter" looks like. https://t.co/8yqR8DeLpH
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JEV BOT ON GOD-MODE there is no catch and that scares me Elon Musk posted an idea that hit 19 million views: "the win is priced in before it happens" that's basically what Jev Bot does now - I gave it $65 and told it to earn its keep or get shut off $50 → $8,730 in 24 hours still running, still compounding - nobody's…
i created a small directory for jev usecases. https://t.co/IzWinY7Lht
Jev + GPT-6 Astra builds the MOST DANGEROUS trading agents ever i just added Astra into my Jev trading stack and now one model researches the new trading strategies 24/7 while the other FIRES them in milliseconds it's like having a HEDGE FUND QUANT and a HIGH FREQUENCY TRADER on a SINGLE computer this setup literally…
Jev + Muse is the first AI agent system that actually automate 100% of my life 99% of people pay 200x more for slower AI agents - while 1% run this 2030 setup just 5 min and setup is ready: prompt → Muse → Jev decision → Muse execution → result step 1 → create your Jev API key (typesafe website) step 2 → clone and ins…
Launching Jev on Command Code for free today. Jev x Command Code is super interesting. You can only use Jev in headless mode or Provider API. Also open sourced a mod "cmd-mod-jev-nudge" Use Jev for free to keep your agent running as long as the there's more work to do.
Jev + @sai_borg just solved "there is no way into this software" you point it at a window. it reads what is on screen, the loop runs, the keys get pressed no integrations nothing installed no access to the game's insides no permissions granted free to start: https://t.co/uN4Hcrm9Fs #robosecretary #saifleet
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I built a free internal linking tool using @typesafeai Jev for classifying and selecting the links. BYOK or pay $1 to use mine. It works for up to 500 pages and gives you a CSV or JSON to pass to an LLM to implement. https://t.co/i01qMCEXa6 https://t.co/7uhzyaiGQj
fun weekend project: AutoJev. i was curious to see if i could train a competitive Jev-like model completely autonomously with a swarm of agents using our internal system. turns out you can get quite far! some details: - gave the swarm a devbox with an h200 gpu - the swarm is a mix of astra and fable; used sol and luna…
Wanted to see how well calibrated Jev by @typesafeai is to this famous chart about what probabilities people mean by specific words... and it's pretty well calibrated! https://t.co/UpKfIGRTKI
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Jev Engineering is what turns a messy agent graph into a controlled decision loop. and up to 193x faster and 444x cheaper in tests. the video looks complex, but the idea is simple: Jev Engineering makes that decision explicit. state enters → routes get scored → confidence updates → weak branches die → strong branches…
This the the monster I created 1000s of real human reactions filtered by jev on structure and emotion ready to be cloned with AI UGC on https://t.co/i4vF01t4m9 comment "reaction" and I will send you the entire library https://t.co/WOPG1zHmB6
After playing with the Jev hybrid model, I started looking into OpenJev, and started with a halite 1 implementation with: GLM 5.3 Flash + Jev [vs] GLM 5.3 Flash + OpenJev OpenJev is just a 4B model handily defeating Jev (in this tiny silly toy example ofc). Now I'm super curious to learn what Jev's actual model size i…
I turned Jev into a Flappy Bird player and I won against it (sorraay @typesafeai). Can you beat it? Let's see your score: https://t.co/93Bl3QQsFq Tech: - Results stored in @neondatabase Postgres - @nextjs App Router 16 with @DrizzleORM, @shadcn and @tailwindcss - pdx1 region on @vercel gets the lowest latency to Jev's…
In one day, I went from complete fucking noob to... a Jev power user? (Read this, and you can too!) I've been playing with Jev, a new AI model from @typesafeai. I'm not a developer, so I wanted to find out what I could actually build with it. I made four increasingly crafty/interesting demos: An email sorter 2,000 tes…
i accidentally made an agent that maps out my entire app and renders every possible use cases of Jev https://t.co/gN57vV3Qja
İşte Jev'in ideal kullanımı! 5 Kelime İsmail (Jev powered) isterler. Bu linkten deneyebilirsiniz: https://t.co/r5tHwNSIza “Jev hızlı” — bunu hep konuşuyoruz ama Math.random() da hızlı. Artık bence tutarlılık ve performans konuşmamız lazım. https://t.co/EqtY85VyQ5
He hecho una web para saber si tu próximo post es un banger o una mierda Lo escribes y Jev te pone nota Este post ha pasado por ahí, si flopea le echamos la culpa a la ia https://t.co/kp2c60gX7e Pasad vuestros scores, a ver quién saca un 100 👀
J'ai crée un système avec le modèle IA Jev qui te trouve des prospects à contacter chaque jour (je te le donne gratuitement) C’est complètement fou 🤯 : → tu lui donnes ton produit ou ton offre (ça marche pour tout) → il trouve les prospects qui semblent en avoir besoin maintenant → il peut les contacter tout seul sans…
NERVE NOW READS EVERY TWEET BEFORE YOU DO. I ADDED A CT NARRATIVE ANALYZER AND IT CAUGHT A META SHIFT 47 MINUTES BEFORE THE FIRST VIRAL THREAD. +0.9 ETH. the pipeline was fast. jev scores in 190ms. sentinel kills honeypots for free. grok reads telegram and discord. but ct moves faster than all of them. a kol tweets. q…
Some of you might have noticed already but, we have a new magic word: **jevify**! I've found the orchestrator+jev setup to be capable of creating some quite robust flows, especially where thoroughness is important, say w/ refactors. Below is an example where we individually evaluate and prune tautologies across 27k te…
I find it excruciatingly hard to find people I want to on LinkedIn... so I built a Jev powered personal CRM from my LinkedIn contacts. I can literally ask it to find anyone in natural language and it'll find me all results in around 1s. Examples "Find me someone who runs user acquisition for a mobile game and knows th…
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Is Jev actually good at computer use, or are those videos all over twitter more fake (or highly misleading) demos? I put it to the test and the results surprised me:
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made a free tool to KILL @Octolens $1M (company btw) for the @convex hackathon. I'll show you a GTM strat no one is talking about... setup today for free. We use @treg_ai to find out our competitors @firecrawl to find good comms and @typesafeai for if content is relevant🤯🤯 https://t.co/z3JYP1fT3Q
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since jev (@typesafeai ) dropped i saw a lot of ultra fast computer-use claims but no one open sourced anything. i built a voice-to-computer-use app for mac using no llm. only macos native speech to text and jev to choose the next action out of all the possibilities. it works.
Jev + on-device models = results in seconds with no LLM in the loop. Quick demo app to show the possibilities. Drop in an audio file: Ear detects the language, Voz transcribes it and Redact removes PII. Then @typesafeai's Jev makes about 20 decisions in one call in milliseconds, and picks which of our on-device models…
JEV MADE ME $3,031 WITH A 7-MINUTE AI AGENT SETUP Prompt → GrokBot → Jev decision → GrokBot execution → Result Jev decides what actually needs to run. GrokBot handles the execution directly on your computer. → Less wasted calls → Lower cost → Faster agent workflow Create a Typesafe API key, install typesafe-sdk and sm…
Built matchcn: semantic component search for coding agents, powered by Jev. Describe the UI you need. It finds the component and returns the install command. No component name needed. No browsing 9 different libraries. 1,783 components across 9 @shadcn registries, classified across six dimensions: purpose, motion, den…
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I gave Jev every Wikipedia edit, live, 24/7. It judges each one and bets on whether a human will revert it. Then we find out who was right. https://t.co/N6rHGxVGFG https://t.co/QZ29zZL3nR
I made a #Jev VJ demo. Jev listens to what I say, suggests the matching video clips to me, then I manually switch them. I wrote a list of clips & effects with short description beforehand, so it can pick the best combination, just like the official "What color is the sky" demo. https://t.co/4S5SoDgoEJ
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برای اینکه دانش کلی Jev رو ببینم چطوره ۱۲۲ سؤال کنکور تجربی ۱۴۰۵ رو دادم به اون و ۵ مدل دیگه. مدلهای بزرگ بهتر، کندتر و گرونتر هستن اما مهم برام مدلهای کوچیک بود. مثلا از لونا ۲۵٪ بهتر عمل کرد در حالی که ۴.۵ برابر ارزونتر و ۳.۷ برابر سریعتره. دیپسیک و Qwen رو هم لوله کرد. https://t.co/NbckESlRDe
I JUST MERGED THE NEW GROK 4.7 + JEV AND BUILT THE BEST AI AGENT SYSTEM I'VE EVER SEEN it's cheaper and faster than what 95% of people are running, and it took me 7 minutes, ofc repo in the end Grok 4.7 is the brain and Jev is the reflex, and the reflex costs $0.042 per million tokens before every move, one question:…
Ross(@TheCoolestCool ) posted this and I could not leave it as a bookmark Jev by @typesafeai for SEO internal links cannibalization thin content intent keep / update / merge / kill redirects schema who AI actually cites same model I used to score 1000 jobs now for the short-term rentals bix pointed at pages (extracted…
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Taught Jev to type hello on his keyboard. https://t.co/Uh5yhioGw0
It works! It finally works! Thanks to @CompleteSkeptic JEV i can finally create optimized prediction market buy sell rules! There are literally millions of permutations and JEV found the most profitable ruleset in milliseconds. Why am I telling you this? Doesn't this mean you can too? Doesn't this mean I'm destroying…
I let Jev drive my gpui app ui, basically browser use for GPUI. it's not perfect requires gpui-pre 0.3.5 and a patch, but has been very effective for me in agents testing my gpui apps. https://t.co/R3K3uOogvL
Primero fue Jev. Después Laya. Ahora... [kev] Lo corres en CUDA, AMD o Mac (MLX). 4B y 9B entran en un Mac de 32 GB. En un M5 (el ejemplo del README) responde un ticket en ~500 ms. También puedes entrenar el tuyo (LoRA + una cabeza de decisión). REPOOO👇 https://t.co/ALE6G8OQHQ
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Build Your Own Router (BYOR) is live on https://t.co/qfbt0zpJFD. Choose how Jev by @typesafeai classifies each request: task type, complexity, both, or your own question. Then drag a model into each route while comparing intelligence, speed and price. Test it before you save. https://t.co/FBFguDHKhe
Lots of cool experimental Jev (@typesafeai) stuff getting posted lately, but what about using it in an existing product? Here are dozens of ways I'm using it now in two apps (https://t.co/vKHSHPzmMl and https://t.co/JhKfmhCVib) Granite (document vault) Ingest pipeline - Second-opinion on Gemini's document classificati…
Made a real-time presentation coach with Jev. It listens as you present, follows your slides and notes, and keeps track of what’s still left to say. https://t.co/trPsxOmEXk
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JevBench v1.3.0 is live. Original Jev remains 👑 at 74.4. But it's challenged by 47 competitors now, and some get very close. 👀 Check it out here: https://t.co/hFQ5fX4JEb https://t.co/UkKd825ccX
Smart web search CLI for agents, backed by Jev. Saves a lot of tokens. #golang https://t.co/OApFrXBoGS https://t.co/1jN4QrJmYw
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JEV is INSANE. So I turned it into a 16-bit game and made a launch trailer for it. That's the whole game: JEV pulls the trigger, another model plans the route. Here's the part I still can't believe. I don't know how to edit videos. The entire 40-second trailer was built by talking to @Pexoai_offical, an AI video tool…
Hacker News' "Show HN" is where builders launch to the internet's harshest crowd. ~98% flop. ~2% hit the front page and get seen by millions. I asked an Jev AI to guess which from the title alone — 5,200 real posts, $0.077, zero cherry-picking. It ranked them right... but got its confidence completely backwards. 🧵👇 #B…
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Introducing Jev, now live on Pacifica Jev brings AI directly into the trading interface, using live market data alongside your Pacifica account context to help you analyze decisions and build trade setups. No tab switching. No copying your positions into a chatbot. https://t.co/kwag63Se27
last time, I made Jev play Clash Royale. this time, I gave it an opponent: Laya, an open-source alternative. Jev runs through @typesafeai's API, while Laya runs locally on my Mac. Each controls a separate emulator and sees only its own game screen. Both use Qwen (via cerebras) for battlefield vision and OpenCV to read…
it's absolutely insane JEV + NEW GROK BOT + RH API = ANOTHER $760 IN 13 HOURS the gap between a signal and an order is where copy bots die, but here is what sits in mine. > Jev turns a wallet move into one answer. > the harness acts on it. > every matched buy gets simulated twice. > the second run is against the limit…
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In the first 24hrs of https://t.co/9tGq42lv3d Over 50,000 visitors Over 125,000 individual API requests (asks to Jev) Over 39 million tokens (majority being input) And it cost me... $0 https://t.co/n0I7gXItsn
הטריק האמיתי: החוזקה האמיתית של Jev היא לא רק שהוא classifier, אלא היכולת שלו להחזיר וקטור תשובות בבת אחת. כלומר - אני יכולה לקחת ערך, ולשאול בבת אחת עבור כל שאר הערכים - מה ההסתברות שמייצגים את אותו האירוע. ואז במכה לקבל תשובה עבור עד 255 זוגות. מקצר את כמות השאילתות בצורה אקפוננציאלית! זה בעצם ייראה ככה:
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Just asked Jev from @typesafeai about a die roll. It said 81% -> 1. A fair die? 81% on 1. A square tile dropped? 97% on edge A. List doesn't end.. Same with Deck of cards.. Seems Jev just likes the first option ! (only for few cases) Our own multimodal OSS variant, Jev-Omni, has the same issue.
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Jev Engineering can make a https://t.co/kHgTxlkUry monitoring system faster and cheaper by keeping expensive models out of routine decision loops up to 201x faster and 456x cheaper in tests these are reported benchmark results and measured TRENCHNET performance figures here's how I applied this idea to tracking trader…
Last week, @typesafeai launched an early access version of Jev, a new decision-making model. Now that it’s available to everyone, I want to share what I found after plugging Jev into @openmind’s OM1 and using the model to navigate our Go2 on @nvidia’s Isaac Sim. https://t.co/P3zOc4O2xQ
got @typesafeai's Jev reading sprites instead of text health bars, energy bar, character select. @sai_borg turns that into button presses fast enough for a fighting game structured outputs are underrated 🥊 #robosecretary #saifleet https://t.co/NK8UGgPYFD
The @bot team has given me 200 codes to give people a month of free access on Grok bot. Why do I love grok bot and how can you get one of the codes? I launched 3 different campaigns using Grokbot, @clay and Jev while taking care of a screaming 10 month old and it didn't miss a beat. Here's what we used each tool for.…
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Built Yap over the weekend: talk to Chrome, it just does it. Runs on TypeSafe's Jev. A nightly Claude routine reads telemetry and tunes the prompts and tests. This video? Opus 5.5, one prompt + a few tweaks. Self-learning apps are now hands-off. https://t.co/wc6Z4npTRs https://t.co/VhvdrQ6GHD
this JEV + Picsart split is f**king insane for AI workflows so i rebuilt one campaign around a simple rule: cheap decisions happen before expensive generation. [here’s what’s actually happening:] 1. JEV sits in front of the stack and decides `allow_subagent`, `ask_human`, `stop_retry` or `reuse_cache` before anything…
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𝗜 𝗿𝗮𝗰𝗲𝗱 𝗝𝗲𝘃 𝗮𝗴𝗮𝗶𝗻𝘀𝘁 𝗖𝗹𝗮𝘂𝗱𝗲 𝗢𝗽𝘂𝘀, 𝗛𝗮𝗶𝗸𝘂 𝟰.𝟱 𝗮𝗻𝗱 𝗚𝗣𝗧-𝟱.𝟰 𝗠𝗶𝗻𝗶, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝘁 𝘁𝗵𝗲 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁 𝗮𝗿𝗲𝗻𝗮 𝘁𝗼 𝗱𝗼 𝗶𝘁. Jev is @typesafeai's System One model, and it does something no chatbot does: it never talks to you. JSON in, JSON out, a probability on every answer. I drew System 1 and System 2 out on the whiteboard first, step by st…
So jev just came out, and @convex released our AI gateway... Why not throw together a party game? https://t.co/fHkYw1HzsN Just convex, workflow component, ai gateway, convex auth v2 (preview), static hosting component... no api keys required, just a convex account. Nice.
گذاشتم قویترین AI دنیا ماینکرفت بازی کنه! GPT 6 Astra + Jev تماشا در یوتوب: https://t.co/KJuUBknjOD توی این ویدئو، با همدیگه پروژهای که ادعا میکرد تونسته ماینکرفت رو توی 8 دقیقه اسپیدران کنه بررسی میکنیم و خودمون بازسازیش میکنیم با استفاده از Astra و Jev از برادر کوچیکم دعوت کردم بیاد کمی راجب خود ماینکرفت توضیح ب…
Connected @typesafeai 's Jev to BigQuery using a Cloud Run remote function. Every row gets evaluated with Choice and Noul, which turns those nuanced judgment calls about unstructured data into 0–1 probability columns you can filter, aggregate, and join in SQL. Blog + GitHub repo follow below
JEV DOESN'T WRITE YOUR CODE. IT MAKES THE FIVE DECISIONS AROUND EVERY LINE OF IT. HERE'S THE LOOP every step your agent takes is really five judgment calls. which files to read. which model writes this. is this safe to run. keep this output or drop it. are we actually done. today one frontier model makes all five, and…
i cracked the code for how to make agents make better drawn art and its 100x faster⛓️💥 jev agents were given dedicated tasks and lanes working together in real time at warp speed! each agent has one job, foreground, background, objects, boats, polish. each agent was dynamically created on the file for the tasks by th…
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Added a nice route to the site where I explain how Jev helps our hybrid make decisions. Will be expanding this more and more as time goes on. https://t.co/oeO9VdxTmz
Este fin de semana he estado probando Jev, el nuevo modelo de @typesafeai He creado un pequeño juego RTS donde, a partir de ordenes en lenguaje natural, se traducen a comandos de batalla: ataca, defiente, etc. Jev toma la decisión de que debe hacer en función del input + estado https://t.co/H6NQU908GS
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J’ai créé un système avec JEV qui espionne tous tes concurrents et te dit quoi faire (je te le donne gratuitement) C’est une vraie folie 🤯 : → tu lui donnes ton activité et tes concurrents → il surveille leurs prix, offres, produits, contenus et publicités → il t’alerte quand quelque chose change et te recommande exac…
You simply IGNORE the real power of the Jev. I built a decision engine for creators that costs $0.63 a month to run. Not an LLM, a 300ms probability layer on top of TypeSafe's Jev model, the one that came out of stealth last week. It never writes a word, it only answers three things: pick one, rate this, yes or no. Ev…
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Yapalım katılalım bir kenarda dursun @jesusislord babanın yeni icadı detaylar şu şekilde > HypeMeter Jev + Minds "Alpha bot" denen tipler her şeye BUY diye bağırıyor ama çoğu ucuz NFT aslında birer tuzak. > Jev saniyenin üçte birinde her listeyi acımasızca yargılıyor, Minds ise kendi stratejinle sana özel tarama yapıp…
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I built an AI slop detector that mostly shuts up. Every detector I tried had an answer for every paragraph, and I think that is the bug. A tool that calls 15% of human writing "AI" is not detecting much of anything. It's accusing people. Slop Meter says can't tell on 87% of paragraphs and is right 97.4% of the time wh…
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Entrando na moda do Jev, fiz um botzinho de Tibia pra testá-lo Por hora só fica curando/patrulhando/looteando, mas já deu pra dar um teste https://t.co/s09gkh6Lob
WHILE YOUR LLM IS STILL TYPING ONE JSON REPLY, JEV ALREADY CLOSED 13 TICKETS. same ticket, same four questions, real timings - just slowed down so you can actually see it. the old way: → prompt in, then wait → watch tokens stream out one at a time, 59 tok/s → parse the string back into JSON → validate the schema befor…
using hyperspace agentic-os running on my macbook + jev + a frontier model to order me the zero to one book on amazon. ps: this video is condensed for posting here, actual automated drive took ~30 seconds. cc @JeffBezos @elonmusk @CompleteSkeptic @buccocapital
I put 10,000 movie posters in one endless room with Jev. Tell it what you're in the mood for and the walls rearrange. https://t.co/1fPdHBSosj https://t.co/QGduf0QJfe
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Fun little @typesafeai jev demo to analyze book plots of the top 250 sci-fi and fantasy books to help you find your next read. Ask stuff about the story, like "protoganist named david", "class warfare", etc. It reads each Wikipedia plot — not the book — and keeps the matches. Jev makes this super fast and cheap. https…
I just scanned the base:0x32f66ec2ffb26d262058965cf294f951e47f8ba3 token on the Hype Meter and these are the results: HYPE 82/100 (how loud) LEGIT 36/100 (how real) Verdict: HYPE WAGON for @AGNTSOCIAL 🫡 Jev decides: https://t.co/xBwkAZICYh
I ported Robotopia Skill Checks (eg. persuasion, secret reveals, intimidation) to @typesafeai 's Jev, and dang it is FAST! Should speed up talking to NPCs quite a bit :) https://t.co/dRqRHETNOh
Introducing Jelight v0.1.0 A code highlighter lib backed by Jev. Fully Open Source with no external dependencies. Works with both @vercel & @typesafeai api gateways. https://t.co/MliJSuL8GX
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A really cool use case of how we use Jev to understand how people talk about Upstash This is 100% open-source too. Quick demo 👇 https://t.co/KlwpWJYsAH
180 طلب كشفت لي أن سؤال: «أي نموذج أفضل؟» كان السؤال الخطأ. بنيت اختبار لفرز أخبار السوق إلى: مهم، غير مؤكد، أو ضوضاء. ثم تحديد اتجاه الخبر ونوع الحدث. الاختبار شمل 30 حالة صناعية بالعربية والإنجليزية، من السوقين السعودي والأمريكي، وشغّلت كل حالة 3 مرات على كل نظام. النتيجة: ـ TypeSafe حقق 100% في تصنيف الإشارة، و100%…
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jev helped me build my own ad blocker - apple safari-inspired thanos snap … INSANE! w/o any hardcoded filter lists. looks at each element and decides: ad or not in one article: 16 ads gone, ~20k tokens, $0.0008 cached for next visit open source, byok, repo below @typesafeai https://t.co/qkuzE6Wx1N
Hype aside, I switched to Jev as the classifier for RedReplier. Ran it against the 2M dataset, and the quality is BETTER than my previous setup with DeepSeek. Saves me ~$700/year, and it's ridiculously fast - roughly 5x faster. https://t.co/khGk7inFKF
Quando vi o que o Jev promete e apareceu o Laya, a versão open source da mesma ideia, eu pirei: tinha que testar num jogo, que é o meu cerne de estudo. Virou um Space Invaders ao contrário, humano contra a sua placa de vídeo. O seu PC é a Terra, você é o invasor, e eu tentei derrotar um modelo de pensamento rápido na…
Jev + Opus 5.5 is the best AI trading system that I’ve built in my life It's actually replaces Quant teams at billion-dollar HEDGE FUNDS I just connected Opus 5.5 to Jev - Opus creates new strategies 24/7 while Jev scans the world’s best HFT playbooks, picks the perfect one and FIRES it in milliseconds setup takes lit…
Built some Jev-powered capability into Treeo If the request doesn't come back within 750ms I just run the "otherwise" path so the user doesn't even perceive a hiccup. But I'm seeing avg roundtrip times of ~250ms Faster than an on-device model for classification! https://t.co/UHLGR21gfx
I built Jev-feed-analyser that reads my X timeline while I scroll Every post gets 12 typed questions, answered in ~300ms each > is it shill, does it read like AI, is it worth a reply > each answer comes with a confidence score > one verdict per post, keep, reply, skip or mute the author No summaries, no prose, just de…
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@sbusso "JEV" PR branch merged to main, here it is playing 2 player PacMan by itself, powered by laya and MLX-Serve 💪 Thanks ! https://t.co/sD0DBZB9S7
got @typesafeai's Jev running king of fighters inside @sai_borg with no access to the game at all fast inference + structured outputs, pointed at pixels. no integrations, no credentials, nothing installed real time use cases are about to get weird #robosecretary #saifleet https://t.co/H5lRQ1ZZOX
What if you need to know if its odd?? No worries, I am introducing "is-jodd", a package that uses @typesafeai Jev model to determine if a number is odd. 40% smaller runtime than @RozenMD is-jeven. Get started at https://t.co/p3O5hFk4kh
@CompleteSkeptic I built Jevbrain to save orchestration tokens when choosing a sub-agent model. Send a task brief + eligible worker profiles to @typesafeai’s Jev. It selects a model, role, and effort profile; your host runs it. https://t.co/lByc9f4WPZ
Get better Jev probabilities with a one-line import change. One problem with @typesafeai 's Jev as a decision model: reordering the same choices can change their probabilities. pijev improves probability estimates by batching permutations into one API call and averaging the predictions—with negligible additional cost.…
I turned Jev (@typesafeai) into the world's worst clock, meet Jock It usually thinks it's 12pm (except sometimes it doesn't) https://t.co/RVK2Ht6Gwd
My friend @mritunjay394 always wears the best fits. And every time, I end up opening 10 tabs trying to find something similar online 😅 So I built WearScout 👕⚡ Drop in a photo of any outfit → @deepseek_ai V4.1 Flash on @nebiustf figures out the look → Jev takes over a real Chrome browser and hunts across Amazon India,…
semantic search prototype w. Jev for Korale. https://t.co/rJpdwiT5w1
I connected Jev to Grok and gave them a Polymarket account for one night. I woke up to +$1,930. At first I assumed they caught one huge market. They didn’t. When I opened the logs, I noticed something much more interesting. Grok wasn’t actually deciding when to trade. It was estimating what each market should be worth…
decided to use the build first bits to teach myself a little bit about how jev works go to https://t.co/6bG9flWARy and type in a word to see how typesafe uses jev to decide which colors are most likely to be represented in that word the cursor becomes a magnet that attracts the bits based on the decision ranking
Introducing JevBench: What does Jev think about each model? Jev thinks Kimi K3 is the best model, and GPT-6 Astra is the second to worst. OpenAI takes a whooping on JevBench https://t.co/Pem5bDrk77
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I truly believe this idea was given to me by god check out https://t.co/sNJ0JHITYz - powered by System One Jev send it to you mom and sister https://t.co/hXf0RRhuuE
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hey jev just got a lot smarter 🧠 jev x exa is LIVE on @heyjevbook 🧾 tag it under any claim on X: no web → "unverifiable" with exa → verdict + source + receipt, in ~1.5s thank you @ExaAILabs @TheIshanGoswami for the idea. we shipped it the same day. ⚡️ https://t.co/xOLj1j3IoH
Thought Jev couldn't chat? Think again!!🤯 I felt bad that Jev was always limited to the choices we provided. So I gave it a voice, and built an app where you can chat to it. Try it out, the results are hilarious! https://t.co/thQzv2w1Ff https://t.co/7Bb3y1BCq7
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shipped auto-tagging for your saved vct rounds notes turn into tags in <1s, then just ask for what you want in plain english and it pulls the exact rounds from your tags + metadata powered by jev from @typesafeai https://t.co/aqcD9DktMU
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