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NewX Scanner
Label visible X posts with typed Jev judgments about promotion, engagement prompts and information density.
Search, classification, ranking and reports whose result is information.
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NewLabel visible X posts with typed Jev judgments about promotion, engagement prompts and information density.
Filter lines and records with natural-language predicates and Jev probabilities.
Rank text on a natural-language criterion using pairwise Jev judgments and a fitted statistical scale.
Use Jev to filter and rerank retrieved passages before a Spring AI answer.
Jev chooses text, tables or interactive visuals before a chat model creates the answer.
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NewSearches thousands of YC startups with flexible natural-language queries.
Jev ranks Apple documentation and WWDC transcript matches after hybrid retrieval.
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NewPermission-aware document-tree retrieval with Jev branch routing and passage scoring.
The query analyzer sends the user's log query and known service names to Jev.
A CLI for testing authored Jev questions against labeled examples, selecting thresholds, measuring calibration, and checking changes against held-out data.
A ranking tool that uses pairwise model comparisons across batches and repeated trials to find the strongest items in a large collection.
An Obsidian plugin for multi-provider chat, workflows, and local vault search, with optional Jev filtering for retrieved results.
An FkWeChat plugin that classifies a selected message's intent, emotion, urgency, and suggested reply posture.
A research reading workflow that uses Jev to rank candidate papers by relevance before an agent writes commentary and notes.
Quivr V2 combines durable stream ingestion with natural-language article alerts judged by an optional Jev classifier.
A transcript summarizer can optionally use Jev to prefilter relevant passages before the existing summary model runs.
A local document workflow uses Jev to classify document pages and identify document boundaries, with review for uncertain results.
A creator demo uses one 24-way Jev Choice per AI paper to build a searchable topic map, then separately evaluates the labels with Opus.
A Jev app gives an AI estimate of how a proposed X post might be received from a girlfriend's perspective.
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NewIt combines content review with engagement ratios to help a reader screen a short feed around a selected niche.
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NewThis is a concrete batch classification example: Jev selects among a fixed set of 24 research topics after another model compresses each paper into a summary.
It combines market microstructure with stratified social evidence in one structured decision request, with separate typed outputs for recommendation, sentiment, squeeze risk and news impact.
It evaluates agent behavior with a fixed set of interpretable metrics plus action-window questions, while minimizing or explicitly confirming session data before sending.
Typed judgments are combined with explicit product rules: a cautious Noul threshold protects legitimate bold copy, while score/archetype weights adapt to text length.
The state keeps the search intent beside each candidate result, while the same judgment API supports individual calls and batched per-result decisions to limit round trips.
Rules are declared as typed choices over compiler-like Rust contexts, so teams can tailor checks while dry-run exposes the exact planned state and request before the API call.
A multi-source news monitor assesses reader value using a structured Jev rubric.
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NewAn animated folder interface automatically displays tags for documents.
A crawler combines deterministic technical checks with typed semantic judgments for actionable SEO reports.
A research agent evaluates report relevance, evidence and citations with a strict Jev decision adapter.
A distillation CLI uses hosted Jev teacher judgments to label data for a smaller local classifier.
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NewA live League of Legends overlay estimates the winning team, player impact and throw risk.
A Cloudflare site search reranks Go proposal articles with Jev relatedness judgments.
Jev separates new buy or hold calls from brags, exits and news in crypto creators' posts; the app grades the resulting calls against BTC.
A social research example routes user questions to evidence collection before generating an answer.
Benchmark Heaven compares Jev and other decision models on bounded decision tasks.
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NewA creator-posted demo uses Jev to categorize financial transactions.
Runs typed Jev judgments over selected traces and spans in a user-triggered Instant Eval job.
Semantic code search and diff linting that asks Jev whether source chunks match a behavior described in plain language.
Research agent that scores scraped passages with Jev before drafting cited reports.
Researches a local document collection with Jev-backed evidence selection and coverage checks.
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NewPairs streaming speech recognition with typed reading-error checks.
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NewAnalyzes early user journeys to find likely churn and product issues.
Grades text against rules using Jev judgments for each line.
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NewAn agent-facing people search combines a broad provider search with Jev judgments about which leads match a user's criteria.
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NewAn NFT listing scout uses Jev to reject weak opportunities and surface rare items for a personalized daily digest.
Search 6,241 Y Combinator companies by meaning, logo, visible text or tags, then have Jev score the shortlist.
Daily rankings of agent skills across registries, with Jev judging social relevance, listing quality and category.
An open-source JEV-powered workbench for streaming data selection, quality evaluation, automatic LoRA training and held-out model evaluation.
Crush 好感监控器:用 Jev 分析微信聊天的情绪、意图和回复表现。本机部署,使用自己的 API Key。
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NewA Chrome-extension demonstration uses Jev for intent-based find on a page.
Semantic grep CLI where Jev judges which files and exact line ranges match a natural-language code query.
Retrieve by relevance, not resemblance: filter an AI assistant's memories with TypeSafe's Jev.
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NewJev killed 7 more SEO/GEO workflows 👇 1/ Assess which competitor pages to copy -> It scores every competitor page on answer, depth, proof and freshness, then checks its rank in Google and ChatGPT to show which ones are worth copying 2/ Ide…
Open-source AI email triage for Gmail. Sorts your inbox into Needs reply, Updates, Promos, Sales and Spam with Jev, TypeSafe AI's decision model, via Vercel AI Gateway. Read-only, runs locally, 1,000 emails in about a minute for 3 cents.
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NewUsing Jev to filter through my @wip todos It allows me to super quickly find all the instances where I increased revenue, got stuck, switched to a different SaaS provider, etc Things a regular keyword search would never catch
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NewJev can serve as better natural language search on websites. It can scan thousands of Zillow listings and classify properties by things you can't normally filter for - e.g. architecture, renovation status, proximity to freeways. This was d…
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NewI just built a Jev X Viral Post Analyser. 100,000 viral X posts. 20.4 seconds. $0.67. Claude Opus 5, same corpus, same clock, got through 214 posts and spent $0.98. per post that is ~680x cheaper the full Opus pass would have run $458. vir…
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NewJEV IS INSANE. I gave it 80 real exam questions and 297 practice ones. In 80 seconds, it told me which ones are most likely to appear on the real exam and which ones aren’t. All for $0.0256. Can't stop playing with @typesafeai 😁
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NewJev classified 1,315 X posts for about $0.086 in estimated model cost 😂 seeing everyone's Jev demos made me want to build something for my own content research. i'd collected a lot of posts, but figuring out what they had in common still m…
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NewJEV makes competitor research feel like a cheat code. Give it your competitors’ ads. Break them down by hook, angle, offer and format. Then turn recurring combinations into a shortlist for your next creative test. From an endless swipe fil…
Grep by meaning, across languages. TypeSafe Jev scores every line against a meaning; combine meanings with AND/OR/NOT. 意味で探す grep。日本語で英語を、英語で日本語を検索できる.
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Newtoday i built talkr, a speech analyzer using @typesafeai > talkr gives you a topic > you talk about it for 30s > jev analyzes your speech: pauses, filler words, repetitions, confidence, clarity > you get a score and feedback to…
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NewI built a tool that finds App Store keywords by reading the competition, and uses Jev to judge them. What it actually does: 1. Turns the app's own listing into a handful of search queries, with Jev filtering out the ones nobody would type.…
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NewYou can use Jev to flag all the slop that Opus likes to write
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NewIntroducing Jev Reviewer, a tool designed for systematic reviewers to quickly find and extract the information from research articles. App: GitHub:
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NewJEV 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…
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NewJEV 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 $0.0…
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NewJev lets me search my physical library by looking at the entire book index in parallel in 300ms. Here, the answer to “Who invented photography?” is probably on page 98 under "Niépce, Joseph Nicéphore"
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NewJEVINIK - Evaluating stocks insanely fast with @typesafeai's Jev It pulls market data, signals, risk & filings around any stock, then calls the next 30 days: 🐂 BULLISH 🐻 BEARISH No LLMs. No vibes. Just Jev & @ValyuOfficial rich financial d…
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NewJev 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.
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NewMade myself a little image classifier with OCR + Jev It was able to categorise ~900 images in 40 seconds Pretty cool
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NewJev is INSANE. 🤯 in 24.9 seconds it read 384 news from this morning and told 15 brands which stories to hop onto today, for $0.19. Claude Opus 5, running on the same feed at the same time, got through 4/384 and cost $0.77. per headline tha…
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NewESTA HERRAMIENTA ACABA DE ROMPER TODO EL MERCADO DEL AD SPY Maxfusion ha cogido JEV, el modelo nuevo de TypeSafe, y le ha metido la ad library entera de una marca → 1.891 anuncios clasificados → 19 segundos → 0,12 $ Y no es un resumen: cad…
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Newjev is an insanely cool product Saw a post about jev and decided to check it out This thing is straight up gold whoever built it is a genius jev is the future Scanned over 700 live ads in 40seconds flat, and it cost me just 4 cents. If you…
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NewJEV makes competitor research feel like a cheat code We fed it Resilia’s ad library and it classified 1,891 ads in 19 seconds for $0.12 Customer journey stage, ad style, and a full account deep dive Coming soon to the maxfusion MCP
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NewJEV 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 complete deep analysis of the account Coming soon to maxfusion MCP
Scans a codebase for covert, deceptive, or data-stealing behavior with Jev, then reports suspicious files and line ranges before the user runs it.
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NewJEV is insanely fast. We gave it a massive dataset based on thousands of outreach messages and asked: Which intent signals generated the most booked demos? 40 seconds later, we had the answer. Cost: less than $0.20. JEV can also rank leads…
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NewA search bar that knows when it doesn't know. cascade-search is a 27K-parameter model that parses queries like "open bugs from sam since last week" into typed filters, in your browser, in 0.25 ms. When it isn't sure about a word, it asks J…
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NewWe built "Worth Replying" with Jev + AIsa. Drop in a company’s domain and it finds people on X already talking about the problems your product solves. We tested it on > 150 tweets found > 750 Jev decisions in 18.8s > 79 worth replying to >…
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NewJEV 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 confidence score and detected lead-message mismatches. All for just $0.09. JEV can a…
Cloudflare Workers has Jev now so I'm putting it to the test on - 7x faster search rerank compared to the current hybrid - 50x faster tagging of content vs GLM 4.7 Flash with no failures
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NewOrganically integrated JEV in a real project The Paper Breakdown Recommendation Engine We already had a working system that combines content-based and collaborative filtering. Pro users may now get additional curation with Jev. 0.0019$/use…
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NewJev is insane for ad research. I built a tool that scores every shot of any video ad on meta in 1.5 seconds. It runs on Maxfusion + @typesafeai I pushed 450+ ads through it in less than 3 minutes. It pulls any advertisers live video ads fr…
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NewJev + 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 in 3 times > never rewards reply bait So: write, score, rewrite, stop when…
Caso de uso de @typesafeai: Revisar todas las facturas de la empresa y clasificarlas contablemente en segundos 🫠
Filter, rank and classify PostgreSQL rows using natural-language conditions.
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NewI gave Jev 3,282 of my X posts across 100M views and asked it to find what actually works for growth. 4,252,330 tokens $0.1282 for the full 8m 34s run! Each post got 8 questions about the topic, hook, tone, whether it teaches something, et…
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NewA creator demonstration applies Jev to a collection of live ads for structured marketing analysis.
A web-search application uses Jev to choose sources, time ranges and search terms, then rank returned links and snippets.
I spent the last 8 hours building a viral post classifier with Jev. It's now better at spotting viral posts than I am. And it's as good as Fable 5.1, but 100x faster.
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NewAnnouncing Jev Detector The world's fastest AI slop detector, built on jev from @typesafeai ~10,000 words scanned for slop in ~2 seconds Best part, its free, no sign up required, enjoy!
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NewA local web app classifies exported Telegram posts and conversations by intent, quality, sentiment, topic, and tone.
A video tool scores each spoken sentence and renders an annotated 16:9 edit.
A web app asks Jev a set of parallel questions to decide whether a startup idea should be killed, fixed, or shipped.
A command-line tool classifies Git commits by change type, bug fixes and security relevance.
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Newrebuilt the X algorithm with Jev - uses real weights - simulates virality of your post - has a global feed (you see everyone) it's insanely accurate
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NewAn experimental writing interface uses Jev to analyze posts while they are being drafted; predictive quality is unverified.
A codebase-search tool uses ensembles of Jev-guided filesystem walkers.
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NewA prototype uses Jev as a codebase classifier; the creator frames it as an experiment in reducing overengineering.
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