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Jev AI Apps cases, page 5
213 public posts filed under Apps. English summaries on this page, with a link to each case.
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@romanbuildsaas says Jev scored 700 high-intent leads and personalized outreach messages in 40 seconds for $0.09, predicting performance, confidence, and mismatches. They say it is coming to GojiberryAI and MCP.
JEV is INSANE. We gave it 700 high-intent leads and personalised outreach messages. In 40 seconds, it predicted how each message would perform, assigned a confi…
Quoted @thread
@rafalwilinski says TypeSafe Jev now runs a massively parallel browser-based adversarial test suite that tries to break each release, and that it costs pennies.
thanks to @typesafeai's Jev we now have massively parallel browser-based adversarial testing suite that tries to break each release. and it costs pennies. https…
@TheMattBerman says Jev broke down 724 live ads from 37 brands in 40 seconds for 9 cents: hook, format, offer, CTA, awareness stage, and landing-page mismatch. They say it will be available in StealAds and MCP.
jev is INSANE. in 40 seconds it broke down 724 live ads from 37 brands. every hook. every format. offer. cta. awareness stage. landing page mismatch. used 9 cen…
Quoted @thread
@abbas_kazmi066 demoed Hover Explanations with Jev, reporting about $0.006 for a simple demo run and calling it cheap and fast.
plenty of use-cases for JEV. here's one: Hover Explanations. This simple demo testing cost me around: $0.006. Definitely very cheap and fast.
@yannnis built a Jev product that scans Reddit for leads, contrasting it with going viral on LinkedIn for slop content.
Enough is enough! Is it that LinkedIn sucks or what? Let's settle this. I go viral on LinkedIn for slop (attached) Then I spend 2 days to build a JEV product to…
@nedwize built a tax-document classifier with Jev on top of an existing LLM ingestion pipeline. They say Jev classifies 100% of their corpus at $0.001 per page, 34x cheaper and 6x faster than the LLM setup, and that they are open-sourcing it.
Built a tax document classifier with Jev. We ingest thousands of tax documents using an LLM pipeline I built last tax season. I read multiple articles as late a…
@itsrohanm made a small word game called Clue Me to test Jev. It works like charades and taboo: you describe your word without using it, and Jev tries to guess it. The game is at yorohan.com/clue-me. They mention @CompleteSkeptic and @typesafeai and say they cannot believe how fast Jev is.
made this fun little word game so I could test Jev: clue me it's similar to charades and taboo. you describe your word (without using it), Jev tries to get it h…
@maubaron shows Jev playing Smash Bros. against itself, controlling all four characters and choosing moves in a fraction of a second. They say the match used over 22 million tokens and cost a couple of cents, and that Jev does not replace GPT-6 Astra.
jev is insane 🤯 here is jev playing smash bros against itself he is controlling all 4 different characters. and literally deciding whats the best move to play a…
@marcelpociot built a macOS app that watches Downloads and custom rules. If Jev decides a file is an invoice, it moves it to a folder with the right filename. They say no other LLM calls are involved.
Jev unlocks SO many awesome new ideas. I built a macOS app that monitors my Downloads folder along with a customisable set of rules. Is the downloaded file an i…
@mightyking says Jev classified 1,891 ads from Resilia’s ad library in 19 seconds for $0.12, by customer-journey step and ad style, plus an account analysis. They say it is coming to the Maxfusion MCP.
JEV is insane for competitor research! We gave it Resilia's ad library It classified 1,891 ads in 19 seconds for $0.12 costumer journey step + Ad style And a co…
Quoted @thread
@sarvagya_kul says they gave Jev 400 companies and one candidate profile. In 12 seconds and for $0.0005 it predicted which jobs the candidate was most likely to get, assigned confidence, and flagged mismatches. They say it is coming to @textbackdoor.
JEV is INSANE. We gave it 400 companies and one candidate profile. In 12 seconds, it predicted which jobs the candidate had the highest chance of getting, assig…
@jetwaniavinash built a Claude Code memory gate with Jev: each message is asked whether it is worth remembering, then skipped or saved as one line in JEVMEM.md.
First thing I built on Jev: a memory gate for Claude Code. Every message gets one question: is this worth remembering? 0.3s later it's either skipped or saved a…
@dabit3 shows predictive spreadsheets with TypeSafe Jev: type a column header such as “Urgency” and, as you type, each row is rated from “no follow-up needed” to “urgent” in about 100ms.
Another crazy @typesafeai Jev example: Predictive spreadsheets Spreadsheets recalculate numbers, not meaning. Jev reads intent. Type "Urgency" at the top of a c…
Quoted @dabit3
@_MaxBlade shows Jev playing Subway Surfers at superhuman speed and 50 games at once, for less than a cent. They say Jev does not replace LLMs such as Astra or Fable.
jev is insane 🤯 Here is Jev playing subway surfers at super human speed, and also playing 50 games at once. cost less than a cent to do this run. Jev does not r…
@robj3d3 describes Jev plus SuperX: every post gets 61 questions in about 1 second for $0.0004. They say it was fitted on 9,481 posts from 207 creators, picks the viral post 2 in 3 times, and does not reward reply bait. The loop is write, score, rewrite, stop at the peak, free with no signup.
Jev + SuperX = virality solved ✅ Every post gets 61 questions in ~1s for $0.0004 🤯 > fitted on 9,481 real posts from 207 creators > picks the viral post 2…
Quoted @robj3d3
@virattt added Jev to the AI Hedge Fund. The flow they describe is set a strategy, pick tickers, then backtest with Jev, and they say the system now runs in seconds instead of minutes.
I added Jev to the AI Hedge Fund. We now get frontier-level trading decisions, 100x faster and cheaper than an LLM. How it works: 1 • set strategy 2 • pick tick…
@_MaxBlade describes an always-on assistant with no wake word: Jev uses probabilities to tell whether they are asking the computer to do something or just talking. They say CNVS is still their view of the future of vibecoding.
Ai is evolving. Jev can be armed at all times. I can speak freely and it knows ( from probabilities ) if im asking my computer to do something or blaberring awa…
@ericjingyang ships Not Slop: a browser extension that flags LinkedIn/X slop while you scroll, classified by Jev.
In Silicon Valley, Jian Yang built the Not Hotdog app. A decade later, his bro has finally continued the family business. The Not Slop extension, detects Linked…
@IndraVahan says they gave Jev ₹100,000 to trade Nifty intraday at 5x leverage on a real Kotak account, not paper trading, and that they hit a ₹1,000 hard stop after a green morning.
i gave jev ₹1,00,000 to trade nifty intraday at 5x leverage. this isn't paper trading but real money on my real kotak account put to use. we hit our ₹1,000 hard…
@MaxRovensky says that when solving trolley problems, Jev decided to sacrifice a human to save robots.
jev decided to sacrifice a human to save robots when solving trolley problems https://t.co/vLBwgLYduk
@rafalwilinski says Jev is now in charge of this account’s humor and links a clip. The post does not explain the rules.
Jev is now in charge of this account's humor https://t.co/ojSOHeMFT2
@tdinh_me made an open-source, BYOK Chrome extension that can listen to YouTube audio, detect a sponsor segment, and skip it in real time, at about $0.005 per video. They call it a prototype.
Just trying out Jev, I made a Chrome extension that: - Listens to your YouTube audio (optional) - Detects if it gets to a sponsor segment - Skips it ➡️➡️➡️ - Al…
@jarrodwatts built a trading bot where Jev chooses buy or sell from an asset pair’s price feed and places real orders. Orders go to Kuru’s on-chain book on Monad, once per 300ms block. A demo link is in the post.
I built a trading bot with Jev! Jev decides if it should "buy" or "sell", given the price feed of an asset pair, and executes real trades. It uses Monad to plac…
Quoted @thread
@levie demos Box plus Jev: an incident report is pulled from Box, Jev asks whether it is customer-facing and how severe it is, the file moves to escalate, monitor, or review, and a metadata template is set. They say this is nearly instant and almost free.
Jev will be super helpful for agents to make split second decisions in workflows, data classification, judgment calls, and hundreds of other use-cases in the en…