Jev Gmail Classifier
Classify Gmail messages with custom labels, confidence gates and a metadata-first Jev decision.
Configured processes that use Jev again when new events, items or scheduled runs arrive.
Classify Gmail messages with custom labels, confidence gates and a metadata-first Jev decision.
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NewRoutes jobs and handoffs among four Dots agents, with human approval for money and client actions.
A browser extension combines Jev writing-style judgments with local rules to flag likely AI prose.
When the TypeSafe classifier is selected, Sharp sends a Noul question asking whether to hide each eligible X post under the reader’s plain-language filter instruction.
For each article, the client sends a state containing the title and up to 4,000 characters of body.
The plugin sends numbered source snippets as state.
A research and trading workbench with a Jev-powered futures monitoring and proposal-evaluation path connected to a simulated contest account.
Quivr V2 combines durable stream ingestion with natural-language article alerts judged by an optional Jev classifier.
An Android conversation assistant reads the visible chat, asks Jev for structured judgments, drafts reply candidates with a text model, then uses Jev to rank them for the person to review.
A Bitcoin trading demo that sends a compact technical-indicator snapshot to Jev for typed market judgments, then applies confidence and risk controls before reporting a position.
It adds a typed review layer to deterministic malware signatures: the model sees the exact matched text and surrounding source, while the existing scanner remains the source of detections.
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NewThe same typed-decision model supports a complete project-memory loop: classify and filter completed turns, retrieve memories for the next prompt, and evaluate relevant safety rules before tool use.
A multi-source news monitor assesses reader value using a structured Jev rubric.
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NewA bookmark-informed policy sorts an X feed into Hide, Skim and Keep decisions.
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NewJev classifies arriving headlines as bullish or bearish with confidence for a trading strategy built with Opus 5.5.
Jev chooses responders for unmentioned messages in an Auto-mode bot room.
Filters creator clip ideas before rendering with Picsart.
Sifts synthetic and pretraining datasets with typed Jev decisions.
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NewAn NFT listing scout uses Jev to reject weak opportunities and surface rare items for a personalized daily digest.
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NewA demonstrated Obsidian workflow that assigns tags to notes using Jev.
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NewJev is tagging X posts in real time for me. Breaking, golden nugget, or slop.
Jev monitors more than 25 customer WhatsApp groups in real time and alerts an LLM when urgency, unresolved problems or orders require attention.
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NewJev does in fact work for building @clay workflows instantly
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New🆕@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 proba…
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NewMade a real-time slop detector with jev as you scroll
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NewA creator demonstrates a Jev tax-document classifier. Reported accuracy, speed and costs apply to the creator’s corpus and are not independently validated.
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NewGM Jev V1 is live on Here's what's new: TRADE • Paste any Solana CA and get a live chart with Jev watching it with you • Jev re-reads the token every 5 seconds: the call, where price is in 15 minutes, buyers in control, dump risk, alive in…
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NewAdaptive 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 f…
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NewA macOS demo organizes downloads according to natural-language rules.
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NewPro tip: You can use Jev to remove annoying reply guy comments that X seems to always miss. Takes 5 minutes in Astra with the docs and an API key.
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Newthanks to @typesafeai's Jev we now have massively parallel browser-based adversarial testing suite that tries to break each release. and it costs pennies.
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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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NewAs promised, Jev is now integrated into Orus agents. What is Jev, and how can it help our agents? Jev is a model from TypeSafe AI, built to answer precise questions with structured answers. In Orus, it reviews the trades your strategy prop…
Detect youtube sponsor segment with live audio and transcript powered by Jev
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NewI built real-time Clippy with Jev. It quietly watches how you use the product and only wakes up when it thinks you’re struggling. Hesitating? Confused? Stuck? Clippy knows. Even its reactions are controlled by Jev. 👀
Trading bot with the all new TypeSafe AI's first system one model named as Jev.
🧹 Fun project: a Chrome extension that asks a tiny AI decision model (TypeSafe Jev) "is this DOM element an ad?" and pops it off the page. BYOK, no backend, not a real ad blocker.
An experimental supervisor uses Jev to assess and steer a coding agent.
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NewA browser extension hides posts that match a user’s natural-language rules.
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NewAn experimental market-analysis demo combines price forecasts with Jev decisions.
A Discord bot uses Jev to filter spam and scam links and escalate repeat offenses.
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NewDuring a live clinical consultation (with an ambient scribe), the transcript is periodically supplied to Jev, which traverses a medical ontology to classify symptoms, update the differential diagnosis, suggest treatments and identify red f…
these are results of using jev on one of our security pipelines. we already have to use smaller (and dumber) models to make it economic and this model does it over 5x cheaper, faster and while maintaining much higher accuracy. i don't norm…
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NewA trading experiment connects rapid decisions to an on-chain order book.
An open-source quantitative research platform that documents Jev-powered pre-trade decisions alongside market data, backtesting and execution tools.
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