Classification
Put an item into a taxonomy, including deep hierarchies walked with probabilities.
127 rows are filed under this pattern, 122 of them with code. Rows are listed as the catalogue orders them: official first, then rows with code, then by stars.
Filter and search them in the catalogue →
Rows marked “not Jev itself” or “shadow mode” stay listed, but they are not examples of deciding with Jev.
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Cookbook: Classification using confidence
Classifies annual reports into 75 industry groups, then reads the answer's own confidence to decide whether to report that group or the broader division above it.
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Cookbook: Hierarchical classification
Walks deep patent, retail, biomedical and source-code taxonomies with a parallel beam search over Choice probabilities.
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Cookbook: Knowledge graph entity alignment
Decides which of 450 candidate pairs from two product catalogues describe the same thing, with one Score whose three levels are the three available actions.
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Cookbook: Structure recovery
Reconstructs Markdown from plain text that lost its formatting, in two requests: one restitches hard-wrapped lines, one classifies every block.
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worldmonitor: news threat classification
Two Choice questions over threat level and category, held in shadow mode after a blind evaluation found Jev merely tied the incumbent model.
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json-render
Vercel Labs' generative UI framework. In its Jev experiment the model does not write JSON token by token — it only picks components, props and layout.
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Inbox Zero: seven email decisions
Seven distinct email decisions, each with its own separately chosen threshold, falling back to the normal LLM on any error.
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pg-jev
A real PostgreSQL extension exposing the primitives as SQL functions, so a semantic decision can appear in a WHERE clause over any row type.
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jev-mcp
A ready-made judgement toolbox for agents: fact verification, content screening, semantic ranking, classification and extraction as separate tools.
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docjev
Classifies and splits PDF, DOCX and PPTX files: LiteParse extracts page text locally, then Jev picks a document's category with a choice over your rules, or for a packet answers per page a category choice and a noul on whether a new document starts there. Its report covers 40 real PDFs.written by a model
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tax-doc-classifier
Classifies tax document pages: one request per page asks Jev two choices, page kind (7 options) and IRS form (230 plus none), and a follow-up choice for five forms' schedules; criteria come from IRS PDFs and code gates at 0.95. Its author measured no strict error on 314 filled pages.written by a model
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classifier-dev
Zero-shot text classification over plain HTTP, no key or signup: labels and text in, a label and a calibrated confidence out, a thousand texts per request. Jev answers both tiers, a choice per text or a noul per label for multi-label; the smart tier re-asks answers below 0.7 of a reasoning model.written by a model
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unclutter
A browser extension that removes page clutter, with reusable template rules.
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perch: semantic code linting
Tree-sitter finds and ranks methods, then user-authored YAML rules compile into nouls, with severity read as the rubric's expected value rather than the top band.
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jev4pg
Natural-language SQL and 41 semantic operators for PostgreSQL. Filtering, extraction, ranking, matching and verification go to Jev in bounded batches with validated answers; a choice option needs 0.55 and a noul 0.8 to count. The authors report 98% accuracy against 92% for pg-jev's request path.written by a model
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Jev-X-Sentiment-Analysis
An on-demand crypto market terminal: pick a coin and a tweet sample, and Jev turns market data, funding rates and social sentiment into a Buy, Sell, Hold or Take Profit decision card. It never places trades.
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332_lab-jev-chat
A Windows WeChat assistant: Jev judges the intent of each incoming message and DeepSeek suggests replies.
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Jev-Code-Reviewer
Local reviewer for coding agents' pull requests: each change is classified P0, P1 or P2 by Jev choices against a written priority policy, and only P0 changes are shown by default. Posts nothing to GitHub.written by a model
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taskuary
Local-first work assistant that turns mail, chats and tickets into tasks your coding agents do, sending nothing until you approve. With a TypeSafe key, Jev triages: nouls asked as the owner would judge, with their profile and past verdicts in the state, such as whether to make an item a task.written by a model
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Prism
Does not place orders. It judges market conditions such as toxic flow and mean reversion, and hands the assessment to the existing strategy.
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jev-arena
An introduction to Jev with hands-on tests: Choice, Score and Noul turn natural language into typed judgements for classification, scoring and routing, compared with DeepSeek on comment labelling, speed and results, with CSV import, replay and offline reports.
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youtube-sponsor-detection
Chrome extension that skips YouTube sponsor reads: per 80-line transcript window, a Jev noul asks if a read starts there and a choice names the line, then nouls on short phrases place the cut; code maps lines to seconds. Audio modes ask Jev every few seconds if a read is on. Default skip bar: 70%.written by a model
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typesafe-adblock
A Chrome extension that asks whether a DOM element is an advert.
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pg_typesafe
Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classificationupstream description
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ha-jev
A Home Assistant integration: typed answers about the house as sensors, noul, choice and score actions for automations, and a conversation agent.
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SemDecide
Jev as a command-line tool: classify, score and filter straight from a shell, for crawlers, CI and data pipelines.
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JevIntent
A WeChat plugin (FkWeChat): long-press a message to analyse its intent, emotion and a suggested reply stance, shown only as a local hint the sender never sees.
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Jevstiller
Proxy in front of a repeated Jev classification call: it forwards to Jev at first, trains a small local model on Jev's own answers and probabilities, and answers locally once it agrees with Jev on held-out traffic. The author reports 61.7% of Banking77 answered locally at 99.4% agreement.written by a model
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jgrep (npm: jevgrep)
grep for what code does: one Noul per code chunk, diff hunk or CSV row, printed as file:line hits with probabilities. --diff gates a PR in CI on a rule written in English (exit 0 match / 1 clean / 2 error); --tests lists the test files a diff can affect.
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grev
Unix filters that ask questions instead of matching patterns: `grev 'is a vegan meal' menu.txt` keeps the lines Jev says yes to, with related tools that use a choice's confidence or a path score. Pins jev-1.13.0 because thresholds are tuned per model version.written by a model
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jev-code
Jev, TypeSafe's System One classifier, as a tool inside Claude Code, Codex, Pi, and OpenCode: typed classify, check, score, rank, and ask, plus one-command setup.upstream description
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jev-sift
Classify first. Read selectively. A portable agent plugin and MCP tool for batch text classification.upstream description
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vibecheck
Python library that turns System One calls into plain values: check (yes/no), classify (one option), label (every option that applies) and score, with thresholds, an unsure answer and batching of several questions about the same data. Works against TypeSafe or any compatible server.written by a model
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jev-poly-crypto-demo
A research tool for Polymarket's five-minute BTC Up/Down markets: live market data becomes Jev class scores, independent logic decides, and a dashboard shows it. Paper trading only; it never connects a wallet.
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commit-miner
Classify Git commit diffs and messages with Jev. Bug fixes, security fixes/CWEs, and change types.upstream description
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jev-calibrate
Calibrate Jev questions against your own labels: tune criteria on labelled examples, confirm on a held-out set, get a verdict per question. Unofficial.upstream description
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dsh-jev-interceptor
⚡ Millisecond System-1 judgement for every tool call in DeepSeek Harness — Jev-powered risk classification & evidence-gated auto-approval. Fail-closed by construction. dsh 生态第一个 System-1 决策插件upstream description
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evoke
Software, by reflex. A sentence becomes a call of a small program, chosen by Jev, TypeSafe AI's classifier, and run only when it is sure enough. Reflexes are recipes anyone can write, share and improve. A CLI you talk to, a package manager for reflexes from git, and a TypeScript SDK.
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jev-ids
Blazing-Fast Token-Efficient Intrusion Detection System (IDS) based on TypeSafe's Jevupstream description
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jev-mcp
An MCP server exposing classify, score, check, match and screen to any agent.
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x-scanner
Chrome extension that labels every post you scroll past on X with typed Jev judgments and a live cost counterupstream description
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jev-column-race
Jev vs Gemini 3.8 Flash: labelling 1,000 app reviews, 4.1× faster and 7× cheaperupstream description
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jev-gmail-ai-spam-filter-and-labeling
Self-hosted AI email classifier for Gmail powered by Jev. Create custom labels, organize your inbox, and filter spam with confidence and cost controls.earlier upstream description
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jev-mail-classifier
Classify your inbox with Jev (TypeSafe's System One model) — tag, move, flag, and notify, all config-driven.upstream description
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jevframe
Semantic AI for pandas and Polars: classify text, analyze sentiment, and score DataFrame rows with natural-language questions and full probabilities using TypeSafe Jev.upstream description
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local-jev
A local, offline System One server compatible with TypeSafe's Jev API. It answers typed yes/no, category and score questions with small open models.upstream description
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jevlogs
Open-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.upstream description
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wechat-jev-assistant
A Windows WeChat conversation assistant: reads chats locally, redacts them, has TypeSafe Jev judge them, and keeps an encrypted history.
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JevBystander
An Android accessibility reader for WeChat: it only reads the screen and pops three toasts — intent, emotion, urgency, a suggestion — and never writes or sends a reply. No third-party dependencies; an 861 KB APK.
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DuoMind
OpenAI-compatible local server that pairs a small llama.cpp model with Jev: 18 decision points before, during and after generation (needs reasoning, safety, format, should stop, needs retry) steer the local model. Prompts go to TypeSafe; generation stays local.written by a model
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jev-agent-browser
Fast, bounded browser agents powered by Jev and agent-browser — typed actions, research, classification, and safe orchestration.upstream description
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lkclean
Chrome extension that cleans up your LinkedIn feed: hides engagement bait, self-promo and off-topic posts using Jev, TypeSafe AI's typed classification model — and explains every decision.upstream description
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JEV Sees
Gives Jev vision: local Florence-2 and CLIP models find the objects in an image, video or RGB-D frame and keep their IDs across frames, then Jev answers a choice, noul or score about each relevant object (bus colour, pedestrian risk, animal motion).written by a model
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augustus
Agent skill for the decision-model class (classifiers, encoders/decoders, specialized AR heads, System One). TypeSafe Jev is the dominant exemplar. Composition algebra, question design, validation gates. MIT.
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duckdb-jev
High-throughput, robust native DuckDB extension for batched and streaming TypeSafe/Jev classification, scoring, and semantic predicates from SQL.upstream description
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jev-ultralightspeed
Answers one question over a pile of text — tickets, reviews, logs — by packing many items into each request, and reports 32x the throughput of one request per item at 41% lower cost.
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sift
Chrome extension that labels every post on X (Substance · Humor · Chit-chat · Promo · Junk · AI-written) with TypeSafe Jev, and hides the ones you don't want.upstream description
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jev-tree
Recursive Jev choice over a taxonomy. Select from more than 255 options without breaking TypeSafe Jev's choice cap.upstream description
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jev-skip
Skips video sponsor segments by reading the captions and deciding at watch time.
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one-system
Use local and hosted classifiers aka decision models aka Jev-like models, all through a single TypeSafe APIupstream description
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twitter-jev-guard
Uses TypeSafe Jev to spot low-quality, spam and advertising posts on the X/Twitter timeline and stamps a conspicuous translucent watermark over their text.
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jev-dsl
Agent-first Haskell DSL for TypeSafe's Jev judgment model: typed packets, inferred types, answers under the same labelsupstream description
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jlink
Record linkage for economists: write the match rule in plain English, get a probability per pair, audit it, cite it. Python, CLI, Stata and R.upstream description
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hunch
Ask Jev over columns of data: closed-set questions, cached and joined back.upstream description
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Jev Playwright
Playwright reporter that asks Jev which existing end-to-end tests a code change could affect and skips the clearly unrelated ones before any browser starts. Sends changed paths, patches and test bodies by default; its README warns it can miss affected tests.written by a model
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jev-for-engineers
Eight minimal working examples of TypeSafe's Jev (a System One model) applied to mechanical and electrical engineering: CAD/CAE/CAM routing, FEM result triage, DFM screening, BOM alignment, hallucination-proof extraction. Zero dependencies.upstream description
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n8n-nodes-jev-classification
n8n community node for Jev by TypeSafe AI: classify, score and check text with calibrated probabilities. Parallel requests and multi-item batching.upstream description
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agent-fastpath
Jev MCP server: a decision layer for coding agents, built on TypeSafe Jev (System One model). Ship gates, risk checks, file triage that keeps files out of context, and a safe headless browser, with calibrated confidence. For Claude Code, Codex, Cursor.upstream description
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agi-jev-containment
AGI JEV Detection — local AI agent monitor: chain-level malicious-agent detection (TypeSafe Jev + Sentinel), escalate-only L1–L5 containment, Neo4j forensics, AngryRobot dashboard. HackSpain 2026.upstream description
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jev-document-classification
JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.upstream description
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hush
Issue triage that stays quiet when it isn't sure. Calibrated labels, spam and duplicate detection — with abstention.upstream description
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jev-linkedin-slop-filter
Slams a BAIT, CORP or BRAG stamp onto LinkedIn engagement-bait, judged live by Jev (TypeSafe System One).upstream description
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jeveryword
Text extraction with Jev: field extraction, PII detection and exact quotes, built on TypeSafe's Jev.upstream description
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JevT++
C++20 library that turns runtime text, JSON or objects into enums, booleans and scores through compile-time schemas, with full distributions and explicit abstention. Runs local Laya models in-process (ONNX Runtime or ggml) or Jev through an opt-in remote backend; latency metrics and a Mario demo.written by a model
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notiq
Native Android notification filtering with natural-language rules, powered by Jev or self-hosted FastJev.upstream description
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tab-bouncer
Chrome extension that closes the tabs you don't need, judged by TypeSafe's Jev in one call. Tell it what you're doing; it shows the rest the door.upstream description
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discoprint
Classify an artist's discography by theme, mood, and lyrical complexity with Jev (TypeSafe AI), and view it as a colorful terminal dashboardupstream description
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dsh-jev-decide
DSH plugin: register TypeSafe Jev (System One decision model) as an agent tool — jev_decide returns calibrated probabilities (noul/choice/score) for routing/triage/guardrail judgments, no text generation. 把 TypeSafe Jev 决策模型注册为 DSH agent 工具upstream description
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jev-logtriage
Jev decides whether a batch of logs is worth acting on. Typed questions, confidence gates, nothing executed.upstream description
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jev-mail
Chrome extension that triages Gmail with TypeSafe's Jev model: category, priority, spam % and reply % on every email.upstream description
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jev-mode
I kept watching coding agents burn context on decisions that aren't hard - triage 400 tickets, tag 600 files, route to one of six teams. jev-mode moves those verdicts to a typed-judgment model. I A/B'd it: 78% fewer tokens, 16x less work-attributable input, accuracy 96.1% vs 93.7%. Python, no d
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jev-pr-labeler
Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line countsupstream description
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jev-research-pipeline
Daily research monitor for standing questions: deterministic Python owns the loop, TypeSafe Jev screens sources per question, Qwen writes the notes (pilot)earlier upstream description
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jev-triage
Uses typeful jev, zero sync to pull and sync large repositories for issue triageearlier upstream description
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mysql-ailike
Natural-language row filtering for MySQL, powered by TypeSafe Jev.upstream description
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Jev by Example
Ten runnable JavaScript agent decisions, one file each: reconciling a new memory against a stored one, gating whether an HTTP 200 really satisfied the task, retry vs. reconcile after an uncertain write, scoring context against a budget, checking a handoff for dropped prohibitions.
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jev-guard
Real-time risk triage gateway for exchange deposits and withdrawals — Jev (TypeSafe System One) handles triage only; adjudication stays in deterministic code.upstream description
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jev-labeler-action
Zero-config AI issue labeling with TypeSafe's Jev. No generated text. Unofficial.upstream description
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jev-mcp-server
MCP server for Jev (TypeSafe System One): the three official question types — choice, score, noul — plus batch classify. Calibrated probabilities, ~0.5s, <$0.001/call.upstream description
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jev-review-action
Configurable GitHub submission review and PR classification with TypeSafe Jev. No text-generation model.upstream description
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jev-slop-guard
Jev Slop Guard — a Chrome extension that scores and stamps AI slop on your X and LinkedIn feeds as you scrollupstream description
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jevtriage
GitHub Action + CLI: triage PRs with TypeSafe Jev (ready / needs review / risky) with confidence gates and jevcheck-friendly contracts.upstream description
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jev-chess
Chess moves, evaluations, persona opponents, and game classification with TypeSafe AI System Oneupstream description
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jev-clean
decision-first data cleaning system powered by Jevupstream description
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jev-organize
Throw in a pile of company files and get them classified and organized by department, type, sensitivity, date, counterparty and PII, with an index for AI agents. Powered by TypeSafe's Jev on OpenRouter (17¢ per 1,000 files). Zero-dependency Node CLI + Claude skill + Codex agent.upstream description
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jev-playwright-mcp
Jev-augmented Playwright MCP proxy — page-state triage, prompt-injection shielding, goal-based snapshot pruning, risky-action gating. Drop-in wrapper around @playwright/mcp for any coding agent.upstream description
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jev-resilience
Spring Boot starter for WebFlux: methods marked @SemanticCircuitBreaker send each response body to Jev with a noul on whether an HTTP 200 hides an error, a stack trace or a maintenance notice; above the threshold (0.85 in its example) it raises an exception a circuit breaker can count. Fails open.written by a model
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jev-secret-detection
Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippetsupstream description
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jevticktrouter
A .NET 10 and React 19 application for fast, structured AI-powered ticket triage using TypeSafe Jev.upstream description
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metis
Metis: automatic GitHub issue triage powered by TypeSafe AI Jev. A reusable GitHub Action.upstream description
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watfile
Text/PDF - File categorization and sorting with Typesafe AI Jev or local calibrated decision modelupstream description
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guard-jev
A text-moderation demo: one systemOne call screens seven Noul hazards and one severity Score in parallel, and the verdict is computed in code from policy thresholds.
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himalaya-jev-mail-classify
Label and prioritise Gmail with a language model. Reads mail through himalaya, classifies each thread with Jev (TypeSafe) over OpenRouter, and applies Gmail labels and colours. Dry run by default, idempotent, no state file.upstream description
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jev-benchmark
Reproducible benchmark for TypeSafe AI's Jev on agent tool-call risk classification: accuracy, latency, and whether the confidence score is worth routing on.upstream description
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jev-eval
Benchmark TypeSafe Jev against any OpenRouter model on your own labelled classification data: accuracy, calibration, latency, cost
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jev-issue-radar
GitHub issue triage with side-by-side evidence. Try the public sample without setup, or run the local app with TypeSafe Jev via OpenRouter.upstream description
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Jevatar
An AI companion that replies only with facial expressions. Jev (TypeSafe System One) judges your message and picks 1 of 14 moods; blobatar morphs its face. React + Vite + Bun.upstream description
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jevbench
Preregistered, bias-corrected test of TypeSafe Jev's calibration under human disagreement (ChaosNLI, 100 labels per item)upstream description
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jevmod
Moderation for communities and apps, powered by Jev (TypeSafe): probabilities per category, thresholds you own. Discord/Telegram/Reddit bots, CLI, Python, npm, HTTP API, MCP.upstream description
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progressgate
Detect semantic stagnation in AI agent loopsupstream description
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pulselane
PulseLane — clinic triage decisions via TypeSafe Jevupstream description
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triagedy
Alert triage as a UNIX filter: JSONL security alerts in, typed decisions out. Runs on TypeSafe Jev or a local model; policy routing stays in code.upstream description
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github-issue-classification-using-jev
This repository contains a GitHub issue classifier built on Jev, TypeSafe AI's System One model. It labels every new issue with typed values and calibrated confidence in milliseconds, labelling what it is sure about and escalating what it is not. Three guardrail layers guard every write, and a
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jev-agent-skill
Free typed judgments for AI agents: offload classify/screen/score/verify to Jev (TypeSafe System One) via OpenCode Zen. Claude Code / ZCode skill. 给AI代理省token的免费决策分流技能upstream description
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jev-eval
TypeSafe's Jev vs gpt-5.4-mini and gpt-5.6-luna on four public classification sets: cases, per-item answers, scoring, chartsupstream description
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jev-trace-classifier
Application of TypeSafe Jev (noul judgment primitive) on the collusion.wiki corpus: agent vs human page authorship, head-to-head vs local Qwen3.8-Flash-Nextupstream description
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JevEye
Ask Jev about an image. A CNN reports what it sees with a calibrated confidence or an abstention; Jev judges what it means.upstream description
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omp-jevens-classifier
Jev-powered model-judged permission gate for OMP (TypeSafe System One)upstream description
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typesafe-image-diffusion
Diffusion-style pixel art out of a general classifier (TypeSafe Jev): 256 parallel pixel questions + refinement passesupstream description
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typesafe-triage-guard
Three composable judgment pipelines on TypeSafe's Jev: support-ticket triage, observability alert triage, and a deploy-risk gate.upstream description
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Probing Jev's behaviour with repeated API calls
Independent Korean-language notes reporting that reversing the order of options shifted a probability enough to flip a 0.9 threshold.
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An early-access test of TypeSafe's Jev: calibrated judgments for half a cent
The best independent test found: 24 Norwegian documents on one pinned model version, opening with a case the model got wrong while correctly reporting low confidence.
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Jev - The Ultimate Classification Model?
An ML engineer's walkthrough from the classification-task angle, which is the framing closest to what the model actually does.
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jevai.org community showcase cases
Nine worked community scenarios: intent routing, invoice classification, news filtering, product tagging, moderation, claim verification, CSV validation and more.
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Testing TypeSafe Jev, Mistral and Gemini for local event validation
The only three-way head-to-head found, with each model's prompt tuned separately and the scope limited to one task rather than a general ranking.