Projects built with Jev

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Spreadsheets that read intentAnother crazy @typesafeai Jev example: Predictive spreadsheets Spreadsheets recalculate numbers, not meaning. Jev reads intent. Type "Urgency" at the top of a column and, as you type, it figures out you want each row rated from "no follow-up needed" to "urgent" in ~100 ms.nader dabit

Scoring 3,000 kids’ snacksJev scoring 3000 kid snacks with multiple criteria on in 28 seconds for $0.11 🤯Nikunj Kothari

Search your inbox by intentJev is really good at intent-based search! How it looks in Gmail: (for a huge inbox you'd prob let semantic search / embeddings pull first but still much better experience)nader dabit

A predictive app launcherAlso been playing with @typesafeai Jev. Insane. A pile of apps suddenly become possible. What a time to be a builder. Sharing experiments here. First one: Keystroke oracle / predictive launcher A normal launcher ranks by aliases, fuzzy match, and habit. Jev reads intent.hityyhz

Job-description and résumé matchingTried Jev for this use case : On one side: a JD → extract the most important requirements. On the other: upload multiple resumes → see which candidate fits the JD best. Jev was surprisingly fast at this. I will test this model on a few other use cases I have in mind.Husain

Coaching and writing checksAlright playing with Jev through Vercel. 1. quick coaching support during a session rather than running through my gateway. 2. Anti-slop detector and fixer.Kris Puckett

Instant Clay workflowsJev does in fact work for building @clay workflows instantlyEric Nowoslawski

Unsaidbriefbeen playing with Jev from @typesafeai and built unsaidbrief the idea: we give AI builders vague prompts, then spend hours fixing decisions we never actually made paste your brief and it uses Jev to flag missing decisions and possible conflicts, with probabilities you can seeDivyanshu

Incident triage in Box🆕@typesafeai dropped Jev this week, a new frontier model optimized for decisions. We put it to work on an incident triage workflow in Box. Jev doesn't generate text. You send it state plus typed questions and it returns booleans with probabilities, enums, and scores in a singleBox

Drive-through menu orderingDrive-thru ordering at Big Kahuna burger powered by @typesafeai Jev The model is really good/fast/cheap at Natural Language -> Menu -> SelectionZain Hoda

MakerMapnow finds the makers you should meet, near you 🤯 it's crazy accurate and built with Jev by @typesafeai my #1 match was @martbln_dev funnily enough we were DMing about meeting up yesterday 😂 find yours 👉Martijn Verbove

Real-time journalingReal-time journaling with JevAdam Miribyan

YouWare résumé screenerJEV is Awsome!!! 😎 360 resumes Screened in 24.2s — $0.0212. Typed scores. Shortlist signals. Speed + cost your boss will quietly love. I Open-sourced the resume screener on YouWare. Reply “JEV” to try it. We’re bringing JEV to YouWare soon — smoother builds, moreYouWare

Sort files by their contentsI built a CLI that sorts a folder by what each file actually says, using Jev from @typesafeai. 2,225 BBC news articles, anonymous filenames, sorted into 5 topics by content in 4.9 seconds for $0.05 at 97% accuracy. Fast & cheap 🚀Michaël Ménard

Job and candidate matchingJEV 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, assigned a confidence score and detected job-candidate mismatches. All for just $0.0005 It can also scoreSarvagya Kulshreshtha

TV recommendations by moodPut Jev in my TV app (stealth for now). Netflix has 2,000 engineers and still can't do "something light, no gore, we're tired." The trick isn't the model. It's refusing to let it generate anything. It ranks what I already have. Pick a mood on the remote → it re-ranks 797Bilal Harouchi

Tax document classificationBuilt 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 as April this year claiming AI fails at tax document classification. Wasn't the case back then, and it's proved wrongNakshatra Saxena

Real-time Twitch chat classificationSorry for the random tech post but Jev is crazyyy here's a prototype for chat classification look how Jev easily keeps up with Baus' twitch chat Also you can ask and prompt it anything, and have any kind of choices, which sets it apart from classical modelsKizuflux 🧣🎸

One box for chat and searchai chat/search... solved now, with a single input box you can have both search and chat using Jev to classify the input and route it to an ai or search backend i'm already thinking what else i can build with this 😅Matthew

Sniff TestI built a linter for AI writing tells, and the judge is a model that can't write a sentence. Sniff Test reads a draft one paragraph at a time and asks Jev ten yes-or-no questions. Is the claim hedged three times. Does the closer just restate the paragraph. Is there a not-X-but-YDan Willoughby

Find relevant support ticketsUsing Jev to find relevant tickets for specific queriesAhmad Moussa || Gorilla Sun

An autocorrect experimenti think ive found the best use for Jev yet fixing iphone autocorrect. no more ducking misspellings. @typesafeaiLoch Duarte

Peakflo invoice codingOne of the easiest @GetPeakflo use cases for Jev @typesafeai is GL / findim invoice coding on a fly.Dmitry

Youform voice builderUsed Jev to build voice builder in Youform. It is so fast!Abhishek from Youform

Filling messy PDF formsConcrete real world use case with JEV from @typesafeai Filling PDF forms: ~1.5s to fill, ~500ms to classify - insane numbers Especially useful when the input data is dirty (bad fields, wrong fields), with a human in the loop to review and fixBenjamin André-Micolon

Email classification and routingJev is really cool. Decided to put it to use. Replaced the costly llms calls for email classification and auto routing to Jev. This is fast , efficient and cheap. love it   🩷❤️‍🔥⚡ Rahul Vaishnav ⚡

Chat moderation before send"AI moderation is too slow for real-time chat." Not anymore. @typesafeai Jev judges every message in ~200ms, before anyone else sees it,for a fraction of what an LLM call costs.Mustapha

Sentence-by-sentence AI text detectionJev is crazy 🤯 I made an AI text detector powered by Jev. Scans a complete article and gives a sentence by sentence breakdown in almost realtime.Ahmed Gagan

A personal email client with smart filtersNow it's my turn. Jev sorts my inbox very quickly and accurate and also let's me add custom filters? I was working on my own mail client for private use for mac and linux and today i wired it up to use jev to sort my mailbox as i need it. Also in there are AI replies (notNick ✪

Sorting 63,000 emailsWOW 🤯 i just used Jev + @agnt_gg to categorize 63,045 emails in less than 3 minutes for < $1 total runtime: 2 minutes 54 seconds input tokens: 23,430,692 output tokens: 4,528,206 total tokens: 27,958,898 estimated cost: $0.9841 this would have been hundreds $$$ in LLM costsNathan Wilbanks

Recipe scoring on five dimensionsmade some time to test jev from @typesafeai used theMealDB and sent each recipe to Jev to score on five dimensions: quick, cheap, healthy, impressive, and beginner-friendly, while filtering out desserts, sauces, bread, etc. The whole run took just over a minute and costSasha

Voice commands for Autumn billing🚨Do not record Jev demos while @ogme01 flies a drone over your desk 🚁 You can now dictate attaches, updates, schedules & more in the @autumnpricing dashboard, no more manual edits Safe to say my tenzing tower didn't survive this one tho 😭Charlie Lamb

A job crawler that matches your profileI rebuilt my job crawler with Jev. The task: start at a company's official homepage, find Careers, and identify jobs that match my profile. Before, with an LLM: ~5 minutes. After, with Jev: just over 20 seconds in my test. Every company organizes its website differently. JevKai

A healthcare intake workflow prototypeHealthcare intake is the hard case for AI triage: complex workflow, safeguards everywhere, a human able to check every decision. We moved the decision step from an LLM to Jev (@typesafeai): 25 typed questions, 0.29 s, $0.00015, code walks the workflow. Method, numbers, limitsrmz 🌱🌐 - 🐺

Intelligent autofill buttonsI love that Jev can fit into basically any app. You don't need to build everything around a chat, you can just integrate intelligent features into the background, like these auto-fill buttons. Much better UX than with slow LLMs. Feels like the missing piece!Chris Nicholas

Inline Manual contextual helpAdaptive real-time in-app support with Jev + . It detects where you're struggling and quietly adds help directly into the UI - explanations, suggestions, even actions. Jev figures out if and where you're struggling, then triggers the right functions whenMarek Sotak