Case wall
Jev AI Apps cases, page 3
213 public posts filed under Apps. English summaries on this page, with a link to each case.
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@sushantstwt demoed searching @justswishin food menus with TypeSafe Jev versus local embedding models.
Searching @justswishin's food menu with Jev (@typesafeai) vs local embedding models, just for fun
@_avichawla shows pg-jev, a Postgres extension that calls Jev from SQL with jev(), jev_prob(), jev_choice(), and jev_score(), and no vector column.
Another insane Jev use case! Traditional database filters need precise, predefined conditions. But many questions are semantic: - Is this article mainly about s…
Quoted @_avichawla
@kushalbyatnal introduces Jevbox: Jev files uploads into a folder tree and search picks folder, then document, then section, with citations and an MCP server.
introducing Jevbox: an open-source document drive that organizes itself, answers questions, and cites everything (all powered by Jev). TLDR; - upload anything a…
@Richelle_Ji says the SF Tech Week filter is now live and free. It uses SimpleJev to filter 1,697 events, including ones that do not exist or are a 1:1 sales pitch.
The SF Tech Week filter is now live, and free. Some events are fake: either they don't exist, or they're a 1:1 sales pitch in disguise. 1,697 events. Filter the…
Quoted @Richelle_Ji
@DavidKPiano introduces Jevspresso: XState sets what is possible, Jev picks the next move. Try it at jevspresso.dev.
I mixed Jev + an espresso (state) machine. Turns out, Jev's a pretty good barista ☕ Introducing Jevspresso: XState determines what's possible, Jev decides the n…
@kohawithstuff built a browser GTA and made TypeSafe's Jev the brain that drives NPC movement and interactions, in what they call one prompt.
I built GTA in the browser and made JEV AI Model by @typesafeai the brain for the app. drives the NPC movements and Interactions. all built in "one prompt"
Quoted @kohawithstuff
@rseromenho wired TypeSafe Jev into reportar.pt so each civic report is classified and routed to the right Portuguese entity.
The hardest part of complaining in Portugal isn't writing the letter, it's knowing who to send it to. https://reportar.pt now uses Jev by @typesafeai to classif…
@jasonzhou1993 says treg uses Jev in production for traffic classification, onboarding, and reranked search: about 10x cheaper, 18x faster, and 30% more accurate than GPT6-luna in their tests.
15min @typesafe Jeveloper tutorial 🧠 My team at @treg_ai has been using Jev a lot in prod: - Classify web traffic - Smart onboarding - Jev-reranked search ~10x…
Quoted @jasonzhou1993

@atlasformac lists auto tagging with Jev by TypeSafe among the Atlas 1.7.1 changes, next to a new inspector, color search, a Firefox extension, notes, and CLI access.
What's new in Atlas 1.7.1 → Auto tagging with Jev by @typesafeai → All-new inspector → Search by color → Firefox extension (!!!) → Notes → CLI access Plus dozen…
@haoailab put Jev in Minecraft PvP: DJev scores every combat move in one pass (~24 ms), up to ~40 decisions/s, with a public server at mc.alexzms.com.
🚀 We let Jev play Minecraft. And we just can't beat it! 😭 ⚡ Jev: 24 ms decisions 🧠 You: ~200 ms reactions It moves before you even see it move. Way too strong!…
"@kraayenJon uses Jev to classify 479 LinkedIn bookmarks (topic, hook, format) in 225s for $0.0195 so saved posts become searchable."
Jev + LinkedIn bookmarks = your saved posts are finally searchable ✅ 479 posts classified in 225 seconds for $0.0195 🤯 LinkedIn has no native way to search what…
"@ElevenLabsDevs pairs live ElevenLabs transcription with Jev for scam risk and red flags; ~180ms per request, 11 requests for $0.00043."
Realtime scam detection using Jev and ElevenLabs. ElevenLabs transcribes the caller as they speak, Jev calculates total scam risk and detects common red flags.…
"@ElevenLabsDevs shows live call sentiment with Jev: each phrase is colored by emotion and six meters track mood while the caller is still talking."
Realtime sentiment analysis with Jev and ElevenLabs. Each phrase takes on the color of the emotion it carries while the caller is still talking. Six meters on t…

@Vtrivedy10 argues Jev’s semantic matching beats dot-product similarity for RAG—as a direct metric on small data and as a reranker at scale.
Jev for RAG in almost all cases you trust the semantic matching capability of Jev more than dot product similarity very useful as the direct similarity metric i…
@rasukarusan2 says they can now use Jev to judge whether someone is a hype account (驚き屋).
Jevで驚き屋判定できるようになったぞ!!
@jarekceborski rebuilt CAPTCHA with Jev: the browser measures how a form is filled, the server turns that into plain sentences, and Jev decides person or bot. A blog post with source is said to be in the comments.
I rebuilt CAPTCHA with Jev The browser measures how you fill in the form. Server turns that into a few plain sentences, and Jev decides: person or bot. Blog pos…

@TimothyKassis says they built a free tool on TypeSafe Jev that checks how rigorous an academic paper is.
We built a really nice free tool on top of @typesafeai Jev to see how rigorous an academic paper is.
@anishfn built a text box that turns into whatever (some UI) you type, powered by Jev.
i built a text box that turns into whatever(some ui) you type. powered by jev

@icantcodefyi says they created a small directory of Jev use cases.
i created a small directory for jev usecases.
@mrza_ch put Jev behind the wheel. A small vision model in the browser describes the road, and Jev, TypeSafe’s fast, cheap classifier, decides what to do — whether it stops for a child, a dog, or a teddy bear — at https://drive.mrza.ch.
I put Jev behind the wheel. A small vision model in your browser describes the road. Jev, TypeSafe’s fast, cheap classifier, decides what to do. Does it stop fo…
@Abdullah_Ops1 built a Vibe Coder Launch Inspector with Jev: paste a project URL to get a launch-readiness score, issues, evidence, and suggested fixes.
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 ال…
@andywang says they built a bookkeeping alternative with TypeSafe Jev over a weekend, fed it 34 months of work a firm charged more than $20,000 for, and that Jev did the job in 20 seconds for $0.32.
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…
@iannuttall built a free internal-linking tool that uses TypeSafe Jev to classify and select links. It is BYOK or $1 to use theirs, works for up to 500 pages, and exports CSV or JSON for an LLM to implement. The link given is https://ian.is/tools/internal-links.
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…
@chrisbrownridge posts another @treg_ai and Jev demo for analyzing data quickly. Treg pulls Meta ads, then Jev tears down the landing pages so you can see where brands send traffic. It categorizes the page type, the offers, and the language used to sell, and it also shows ad creative launch velocity and creative mix. They say the whole thing takes a few seconds end to end.
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 a…