# Jev pricing and access > Jev is TypeSafe AI's hosted decision model. Its published price is $0.042 per million input tokens, with free output and no public weights. Updated 2026-11-04 (Australia/Adelaide) By TypeSafe AI · Released: 2026-09-15 · HOSTED The model that named the category. A hosted API: send your app's state plus typed questions (Choice, Score or Noul) and get a probability back for each answer. It generates no text, and its weights are not public. ## Facts - Price: $0.042 per million input tokens; output free · [Compare prices]() - Latency: 70–500 ms end to end (TypeSafe-reported) - Version: jev-1.13 is the stable release; jev-1.14 has been the preview build since 14 Oct 2026 - Context: 32,000 tokens (per OpenRouter's guide) - Access: Launched in early access; also via OpenRouter ## Claims and sources - **VENDOR-REPORTED**: 40x–200x faster than frontier LLMs on comparable tasks [source]() - **VENDOR-REPORTED**: Trained with Reinforcement Learning for Calibrated Decisions (RLCD); no technical paper published as of 2 Oct 2026 [source]() - **INDEPENDENT**: Leads [JevBench]()'s capability ranking of Jev-class systems (80.0) on 1 Oct 2026 [source]() - **VENDOR-REPORTED**: No public weights: TypeSafe's own Hugging Face account listed zero public models when checked on 20 Oct 2026 [source]() - **VENDOR-REPORTED**: The 14 Oct 2026 update switched on experimental image input and opt-in long context for [Jev]() 1.13 and 1.14 (1.13 was "multimodal all along"); bounding-box answers need 1.14 [source]() - **INDEPENDENT**: Tops Artificial Analysis's Decision Index at launch with 58, ahead of [GLiDE]() and [Microsoft-Decision-1]() on 54 (13 Oct 2026) [source]() ## Links - [Source: Announcement]() - [Source: Jev 1.14]() - [Source: Docs]() - [Source: On OpenRouter]() [Jev alternatives]() [JevBench scores and methodology]() ## Related projects ### Ultra-fast browser agent [Ultra-fast browser agent]() [Source: browser-use/jev-ultrafast]() Zurich to London on Google Flights in 7.1 seconds, including model calls, generated text, browser work and loading waits. Swapping to a decision model took median task time from 9.450s to 7.092s and median browser protocol calls from 1,092 to 101. One natural-language goal, on the real web, at 1x speed. Maker-reported: three repeats of one task on one browser profile. - median task, down from 9.45 s: 7.09 s - browser calls, down from 1,092: 101 - Creator: browser-use - Stars: 23,396 - Licence: MIT - Model: [Jev]() - Tags: browser, agent Figures from the project's own README and docs/performance.md. The maintainers note this is three repeats of one task on one browser profile, not a general benchmark. - [Source: GitHub]() - [Source: Measurements]() ### One trade decision per block [One trade decision per block]() [Source: jarrodwatts/jev-trader]() Attempts one trade decision per Monad block on the Kuru MON-USDC market, and holds when the model misses the block deadline. - Creator: Jarrod Watts - Stars: 3,050 - Licence: MIT - Model: [Jev]() - Tags: trading, real-time ### Computer use at $0.0002 a step [Computer use at $0.0002 a step]() [Source: awlevin/typesafe-computer-use]() OCRs the screen, then classifies the next action. The claimed per-step cost is the maintainer's own figure, not independently measured. - Creator: awlevin - Stars: 1,251 - Licence: MIT - Model: [Jev]() - Tags: computer-use, cost ### Staged code review [Staged code review]() [Source: devagrawal09/jev-review]() A staged review workflow with a local dashboard: each stage is a bounded judgement rather than a written critique. - Creator: Dev Agrawal - Stars: 686 - Licence: MIT - Model: [Jev]() - Tags: code-review, workflow ### Mario, played from emulator state [Mario, played from emulator state]() [Source: fhshaik/typesafe-mario]() An agent that plays Super Mario Bros. by classifying the next action from structured emulator state rather than generating a plan. - Creator: fhshaik - Stars: 456 - Licence: no licence - Model: [Jev]() - Tags: game, control ### Page clutter removal [Page clutter removal]() [Source: kitze/unclutter]() A browser extension that decides, element by element, what on a page is clutter, with reusable template rules. - Creator: Kitze - Stars: 382 - Licence: MIT - Model: [Jev]() - Tags: browser, extension ### Camera-input drone in simulation [Camera-input drone in simulation]() [Source: RomanSlack/jev-drone]() A drone experiment in MuJoCo with a small judgement model in the control loop, on camera input. The maintainer calls the harder tunnel run a partial result. - Creator: Roman Slack - Stars: 282 - Licence: MIT - Model: [Jev]() - Tags: robotics, control ### Live meter over video [Live meter over video]() [Source: ChetasLua/jevmeter]() Scores every sentence of a video and renders the running result as an overlay. - Creator: ChetasLua - Stars: 108 - Licence: MIT - Model: [Jev]() - Tags: video, scoring ### Paper-trading command center [Paper-trading command center]() [Source: mars-tw/jev-trading-command-center]() A paper-trading research app where [Jev]() makes the decisions, wrapped in an animated 3D command center with model pets and a ten-timeframe research panel. Every trade is simulated; there is no real order path. - Creator: mars-tw - Stars: 63 - Licence: MIT - Model: [Jev]() - Tags: trading, research ### Commit classification [Commit classification]() [Source: devanshbatham/commit-miner]() Classifies git diffs and messages into bug fixes, security fixes with CWEs, and change types. - Creator: Devansh Batham - Stars: 39 - Licence: no licence - Model: [Jev]() - Tags: classification, security ### Decision models vs prediction markets [Decision models vs prediction markets]() [Source: yorkeccak/model-vs-market]() A live site where OpenAI Decisions, [Jev]() and Cloudflare's [Clef]() put a probability on live questions after reading recent news, never the odds. Their probabilities are compared against Polymarket and Kalshi prices. - Creator: yorkeccak - Stars: 12 - Licence: MIT - Model: [Decisions API](), [Jev](), [Clef]() - Tags: forecasting, benchmark ### Jev as a second pair of eyes for Claude Code [Jev as a second pair of eyes for Claude Code]() [Source: Civalski/claujev]() A Claude Code plugin that asks [Jev]() short typed questions while Claude works: how big is this request, is this command destructive, was the work really done. It suggests an effort level per request, and in enforce mode a confident check can block a "done!" when the work looks incomplete. - Creator: Civalski - Stars: 4 - Licence: MIT - Model: [Jev]() - Tags: coding, agent ### Jev and Kev compared on the same questions [Jev and Kev compared on the same questions]() [Source: opper-ai/jev-vs-kev]() Benchmark code and a 362-question test set that sends each item to [Jev]() and to [Kev]() 4B, and reports accuracy, calibration, latency and cost. - Creator: Opper - Stars: 1 - Licence: Apache-2.0 - Model: [Kev](), [Jev]() - Tags: benchmark, evaluation ### Reasoning effort set per message [Reasoning effort set per message]() [Source: prgrmrwy/dsh-auto-model-routing]() A DeepSeek Harness plugin where [Jev](), via OpenRouter, judges each message as simple, standard, complex or escalated and raises or lowers only the reasoning effort of the model you picked. If [Jev]() fails, it switches itself off. - Creator: prgrmrwy - Stars: 1 - Licence: MIT - Model: [Jev]() - Tags: routing, coding ### Sentence to typed query plan [Sentence to typed query plan]() [Source: saembit/jevquery]() A TypeScript library where [Jev]() picks the table, columns, filter, order and limit from what the schema offers, so it can choose a column but never write a query. Drizzle, Prisma or a SQL builder turns the plan into a real, parameterised query. - Creator: saembit - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: sql, typescript ### Jev DevTools [Jev DevTools]() [Source: diegoag64/jev-devtools]() A drop-in React inspector that turns an app's [Jev]() requests into interactive diagrams of the context, each question and the returned answers. Marked experimental. - Creator: diegoag64 - Stars: 2 - Licence: MIT - Model: [Jev]() - Tags: developer tools, react ### Robot boxing: Jev against GPT and Claude [Robot boxing: Jev against GPT and Claude]() [Source: Marcyvan1777/jev-arena]() A 3D boxing game where [Jev](), GPT-4o-mini and Claude Haiku pick each move from the same state and legal actions, and a seeded rules engine resolves the hits. The maker calls the 56-bout results a pilot, not a ranking. - Creator: Marcyvan1777 - Stars: 0 - Licence: no licence - Model: [Jev]() - Tags: game, comparison ### Pet shop catalogue with evidence [Pet shop catalogue with evidence]() [Source: jeromtom/petsona-catalogue-ai]() Tags each pet product's species, life stage and allergens from the store's own text, asking [Jev]() or [Laya]() one typed question per value: supported, contradicted, unknown or conflicting, with the source sentence attached. Merchants can approve, correct and lock tags, or let a validated policy accept them automatically. A hackathon entry for AIBoomi Startup Weekend Kochi, 23-24 Oct. - Creator: Jerom Palimattom Tom (Rexin Dynamics) - Stars: 0 - Licence: MIT - Model: [Jev](), [Laya]() - Tags: e-commerce, shopify ### Daily arXiv digest screened by Jev [Daily arXiv digest screened by Jev]() [Source: Monkeypox966/arxiv-jev-digest]() A GitHub Actions job where [Jev]() scores each new paper from your chosen arXiv categories against each of your research interests, code ranks them and keeps the top few, and only those go to DeepSeek for a summary emailed to you. The default follows humanoid robotics papers. - Creator: Monkeypox966 - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: research, email ### Politicians by Jev [Politicians by Jev]() [Source: n8peace/politiciansbyjev]() Ask a question and [Jev](), via Vercel AI Gateway, gives each of 100 well-known American politicians a yes/no probability; the faces above the threshold float up out of a physics pile. - Creator: n8peace - Stars: 0 - Licence: MIT (code); portraits under their own licences - Model: [Jev]() - Tags: fun, web ### Live interview checklist [Live interview checklist]() [Source: ByronDarlison/call-coach]() A macOS app that transcribes both sides of a call on your Mac with Whisper while [Jev]() ticks off each of your questions once it has been answered, notes which question you just asked, and flags surprising answers for a follow-up. The maker puts [Jev]()'s cost at about 1 to 2 US cents for a 45-minute interview. - Creator: Darlison Holdings - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: meetings, mcp, local ### Voice tutor grounded in a textbook [Voice tutor grounded in a textbook]() [Source: balajibankapur/textbook-voice-tutor]() Answers a seven-year-old's spoken questions from one scanned Grade 2 textbook chapter. [Jev]() decides whether each new question can be answered from the chapter and, with the optional verifier on, whether the drafted answer's claims are supported by the retrieved passages; common questions are matched to cached answers. On the maker's 14-question test, the [decisions API]() cut average answer time from 4.1 to 1.7 seconds and the cost of each gate call about 25 times, against the chat wrapper. - Creator: balajibankapur - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: education, voice ### Job description to occupation code [Job description to occupation code]() [Source: blurboy1985/ssoc-decision-trail]() Paste a job ad and watch [Jev]() walk Singapore's 2024 occupation classification level by level, keeping the three best paths at each step, to a five-digit code, drawn as an animated pixel-art crowd. Six requests, about 1.4 seconds, per the README. - Creator: blurboy1985 - Stars: 0 - Licence: no licence - Model: [Jev]() - Tags: classification, visualisation ### Talk to your Mac in one sentence [Talk to your Mac in one sentence]() [Source: manikv723-jpg/JevVoice]() Speak several instructions in one run-on sentence and [Jev]() picks each action from a menu of skills, and any app from those installed on your Mac, while you are still talking. Anything outside the menu goes to Claude for a proposed shell command, which waits for your approval unless you turn on trust mode. - Creator: manikv723-jpg - Stars: 0 - Licence: no licence - Model: [Jev]() - Tags: voice, macos ### One MCP server for any System One model [One MCP server for any System One model]() [Source: dmonteroh/sys1\_mcp]() An MCP server that gives an AI assistant yes/no, choice and score tools backed by whichever decision model you configure: any /v1/systemone endpoint such as [Jev]() or [Clef](), or [Laya]() running on Apple silicon. Its tools never name a model family. - Creator: dmonteroh - Stars: 0 - Licence: MIT - Model: [Laya](), Jev-Style-0.8B (any /v1/systemone endpoint) - Tags: mcp, local ### A village run on Jev [A village run on Jev]() [Source: Dasge97/the-village]() A pixel-art village in the browser where [Jev](), via OpenRouter, chooses what each adult does for the next two hours, while fixed rules handle urgent needs, night-time sleep and children. The maker built it to test whether [Jev]()'s choices stay sensible and reflect each villager's personality. - Creator: Dasge97 - Stars: 0 - Licence: MIT (code); CC0 1.0 (graphics and sounds) - Model: [Jev]() - Tags: simulation, game ### Build or not: a verdict on your side project [Build or not: a verdict on your side project]() [Source: blakestone-x/buildornot]() Describe a side project and get BUILD, MAYBE or DON'T BUILD with the reasons: [Jev]() rates pain, reach and feasibility out of five and judges whether the GitHub and Hacker News results it finds already do the job. A run costs well under a cent. - Creator: blakestone-x - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: cli, ideas ### PII discovery in plain SQL [PII discovery in plain SQL]() [Source: senthilsweb/jev-pii]() A DuckDB function that asks [Jev]() typed questions about each database column: is it personal data, which kind, and whether GDPR, CCPA-CPRA, HIPAA, LGPD, PIPEDA or DPDP apply. Whether to keep, mask, hash or drop it is decided by code, not the model, and a failed call sends the column to review. Also runs in the browser. - Creator: senthilsweb - Stars: 0 - Licence: Apache-2.0 - Model: [Jev]() - Tags: data, duckdb, compliance ### Search evaluation with Jev as judge [Search evaluation with Jev as judge]() [Source: rickcrawford/jev-relevancy]() Grades search results with [Jev]() on a four-level scale, checked first against Amazon's human-graded shopping queries, and stores runs, results and judgments in DuckDB with the metrics computed in SQL. The author recommends checking it against at least 300 of your own labelled pairs before trusting it on another domain. - Creator: rickcrawford - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: search, evaluation ### decisions, an R package and web app [decisions, an R package and web app]() [Source: fmegahed/decisions-space]() A Hugging Face app built on the R package decisions: upload a set of images or texts, ask [Jev]() one question about each, and get every answer with its probabilities plus the R code to repeat the run. Visitors need no key or account; runs are checked against estimated session and daily budgets. - Creator: fmegahed - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: r, images ### Android notification triage [Android notification triage]() [Source: KoheiTakada/QuietFlow]() An Android app that can use [Jev]() to sort notifications into five classes, from action required to hide, alongside local safety rules and corrections it learns from you. It starts in observation mode and never cancels notifications there; [Jev]() is opt-in with your own key. - Creator: KoheiTakada - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: android, notifications ### West Philippine Sea Watch [West Philippine Sea Watch]() [Source: gianviterbo/wps-watch]() A public monitor of the West Philippine Sea with live ship positions, Sentinel-1 radar passes and Global Fishing Watch events. [Jev]() answers four questions about each item from 13 news feeds, and two of them, whether it serves a Philippine reader and whether it carries PRC state framing, decide whether it is shown or held back. Live at wps.gdgt.link. - Creator: gianviterbo (Gadget Pilipinas) - Stars: 0 - Licence: Proprietary (contact Gadget Pilipinas for reuse) - Model: [Jev]() - Tags: news, maps, monitoring ### Tetris Arena [Tetris Arena]() [Source: arndth/tetrisarena]() [Jev](), SAP-RPT-1, LLMs and a 15-line heuristic play Tetris on the same pieces and candidate moves, with live cost tracking. In the maker's 50-piece race [Jev]() and the heuristic both cleared 19 lines and the others 18, a tie within noise; the difference was speed and cost. - Creator: arndth - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: game, comparison ### Ants that draw your picture [Ants that draw your picture]() [Source: scalefreegan/jev-ants]() Each ant is a [Jev]() agent that sees the cells around it and its neighbours' headings and decides which way to move and whether to settle. A thousand small decisions turn a random scatter into a word or an uploaded picture; the maker puts a word at about fifteen seconds and seven cents. - Creator: scalefreegan - Stars: 1 - Licence: MIT - Model: [Jev]() - Tags: art, swarm ### Decision models as tool routers, measured [Decision models as tool routers, measured]() [Source: Daewooki/decision-agent-lab]() Calls [Jev](), OpenAI's [Decisions API](), Upstage [Solar Decide]() and local Ollama models through one interface and logs version, latency, tokens and cost. On picking the right one of 12 tools for 40 Korean and English requests, the maker measured [Jev]() 1.13 at 40 of 40 and OpenAI Decisions at 0.90, against 0.85 for a generative model choosing directly. - Creator: Daewooki - Stars: 0 - Licence: MIT - Model: [Jev](), [Decisions API](), [Solar Decide](), [Nimble]() - Tags: agent, benchmark ### Terms of service checker [Terms of service checker]() [Source: shohei81/jev-tos-checker]() A Chrome extension that splits the terms of service on the page into clauses and has [Jev]() check each for eight kinds of one-sided term, from selling your data to forced arbitration, marking only clauses that go well beyond what major services do and showing each next to the original text. The maker says it is not legal advice. - Creator: shohei81 - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: browser, extension, legal ### CI failure triage [CI failure triage]() [Source: tejred213/ci-triage]() [Jev]() reads each failed test and decides the cause: environment or timeout, flaky assertion, genuine regression or API contract mismatch. Code re-runs the build only when every failure would be fixed by re-running (three attempts in all by default), gives flaky tests a low-priority ticket as well, and files tickets for real failures with the test's owner. - Creator: tejred213 - Stars: 0 - Licence: no licence - Model: [Jev]() - Tags: ci, devops ### X spam blocker [X spam blocker]() [Source: bit-cook/Jev-X-Blocker]() A Chrome extension that hides spam and noise in X posts and replies by combining [Jev]()'s probabilities for rules you write in plain language with local signals, and decides locally what to hide. Everything hidden can be restored in place, and if the API fails, posts are shown. - Creator: bit-cook - Stars: 1 - Licence: MIT - Model: [Jev]() - Tags: browser, extension ### UI tests written in plain English [UI tests written in plain English]() [Source: andletenkov/decisium]() Write test steps as plain-English Gherkin and [Jev]() picks the element, action and check for each one from options Decisium reads off the page; code, not the model, decides whether a step passed. Resolved steps are recorded so CI can replay them with no model calls. - Creator: andletenkov - Stars: 1 - Licence: MIT - Model: [Jev]() - Tags: testing, playwright ### decide, a CLI and MCP server for Jev [decide, a CLI and MCP server for Jev]() [Source: koltyakov/decide]() A Go command-line tool and MCP server that gives coding agents and shell scripts [Jev]()'s yes/no, choice, score and multi-question calls, with offline request previews and batch runs. - Creator: koltyakov - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: cli, mcp ### Site search that goes to one page [Site search that goes to one page]() [Source: Mou1z/wayfinder]() Visitors type what they need in their own words and [Jev](), via OpenRouter, picks the one page on the site that fits, choosing only from your list of pages. With no key or a slow reply it falls back to word matching. - Creator: Mou1z - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: search, web ### Restaurant order matching [Restaurant order matching]() [Source: prefill-vanishing-point/order-matcher]() Matches messy restaurant orders such as "2 cs portobellos, 5# limes" to exact catalogue items with [Jev]() and flags uncertain lines for a person to check. The maker reports 96% exact matches on held-out test orders. - Creator: prefill-vanishing-point - Stars: 0 - Licence: no licence - Model: [Jev]() - Tags: food, ordering ### Mail server filter that files into folders [Mail server filter that files into folders]() [Source: lesderid/maddy-jev-filter]() Sorts incoming mail for the maddy mail server into IMAP folders: [Jev]() answers questions such as whether a message is spam or phishing, and rules in a config file turn the answers into a folder. It also learns from where you have filed mail before. - Creator: lesderid - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: email, self-hosted ### Which fixes clear most Intune noncompliance [Which fixes clear most Intune noncompliance]() [Source: dallascrilley/intune-why]() Reads Intune compliance data from Microsoft Graph, groups failing devices by the setting that fails, and ranks fixes by how many devices each makes fully compliant. For custom settings its rules don't cover, [Jev]() can optionally pick the remediation path. You can try a live demo with a sample tenant. - Creator: dallascrilley - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: it admin, microsoft ### Classified ads filter [Classified ads filter]() [Source: Aladincz/Jev-Content-Filter]() A browser extension that asks [Jev]() about every ad on the Bazoš classifieds site against criteria you write in plain language, and collapses the ones that don't match. Other marketplaces and auction sites are planned. - Creator: Aladincz - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: browser, extension, shopping ### Ask Jev to flip a coin [Ask Jev to flip a coin]() [Source: royvandewater/jevflip]() A small command-line tool that asks [Jev]() to flip a coin N times and reports the share of heads. - Creator: royvandewater - Stars: 0 - Licence: no licence - Model: [Jev]() - Tags: test, cli ### GitHub issues filtered in plain words [GitHub issues filtered in plain words]() [Source: BerriAI/better-backlog]() A local web page and CLI that reads a repo's GitHub issues and lets you filter them by typing a criterion, such as people blocked from upgrading. Each criterion is asked of a decision model through your TypeSafe key or a gateway; add another to narrow the list. - Creator: BerriAI - Stars: 2 - Licence: MIT - Model: [Jev]() - Tags: tooling, web ### Hacker News curator on Jev [Hacker News curator on Jev]() [Source: uint4096/hndelegate]() Polls new Hacker News stories every two minutes, runs each unprocessed one through decision trees of [Jev]() questions you define, and sends the stories that match any tree to a Telegram chat or channel. - Creator: uint4096 - Stars: 0 - Licence: GPL-3.0 - Model: [Jev]() - Tags: feed, telegram ### Agent questions answered by Jev [Agent questions answered by Jev]() [Source: jflowers/opencode-auto-question]() An opencode plugin for autonomous runs: when the agent stops to ask the human a question, [Jev]() (or an LLM, if you set one; the default tries [Jev]() first) picks from the offered options. Below a configurable confidence (0.6 by default) it gathers context in a side session and decides again; below 0.35 the human answers after all. - Creator: jflowers - Stars: 0 - Licence: Apache-2.0 - Model: [Jev]() - Tags: agent, coding ### Jev picks which tools an agent loads [Jev picks which tools an agent loads]() [Source: dantetekanem/pi-jev-lazy-load]() A Pi extension that keeps most tool and skill descriptions out of the first request and loads them on demand. In its optional [Jev]() mode, [Jev]() decides before each prompt which ones the request needs. - Creator: dantetekanem - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: agent, cost ### What changes Jev's election forecasts [What changes Jev's election forecasts]() [Source: prashaantr/what-changed-its-mind]() An open research essay on three competitive 2026 US Senate races: compare stored [Jev]() forecasts across different sets of evidence and different orderings of candidates and sources, with the exact requests and saved responses to inspect. The author calls it an experiment, not a calibrated forecast. - Creator: prashaantr - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: research, forecasting ### A decision queue in front of agent tools [A decision queue in front of agent tools]() [Source: iamvazghen/jevqueue]() A Claude Code plugin that checks an agent's tool calls before they run, using hosted [Jev]() when you configure a key and offline rules otherwise. In enforce mode it refuses a call with a reason; advisory mode only reports the verdict. - Creator: iamvazghen - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: agent, guardrails ### Jev for marketing ops [Jev for marketing ops]() [Source: brent-phillips/jev-for-marketers]() A free guide, a Claude skill and four editable recipes for typed marketing-ops decisions: route this lead, tag this asset, is this reply interested. [Jev]() makes the call; an LLM still writes the copy. - Creator: brent-phillips - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: guide, marketing ### Fold low-value posts on X [Fold low-value posts on X]() [Source: Nixz0824/x-semantic-filter]() A Chrome extension: describe what you don't want to see in plain words, and eligible posts on your X timeline get a probability per rule. By default, anything over your threshold folds into a one-line bar you can open again. - Creator: Nixz0824 - Stars: 0 - Licence: MIT - Model: [Jev](), [Clef-omni]() - Tags: extension, feed ### Decision models forecasting Polymarket [Decision models forecasting Polymarket]() [Source: aaron-zhlg/odds-arena]() Keeps the 50 busiest Polymarket questions forecast by several models, including [Jev](), Perplexity's [Decider]() and an OpenAI model, all given filtered web search results but never the price. When markets resolve, each is scored on a leaderboard by Brier score, log loss and accuracy. - Creator: aaron-zhlg - Stars: 0 - Licence: no licence - Model: [Jev](), [Decider]() - Tags: forecasting, benchmark ### Jev Workspace: a mission, some links, a verdict on each [Jev Workspace: a mission, some links, a verdict on each]() [Source: freakngenius/jev-workspace]() Give [Jev]() a mission and some links: it gathers every item, judges each one live with counters and a running API bill on screen, and ends with a results page you can sort, spot-check and export. Runs on your own machine with your own keys. - Creator: freakngenius - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: local, research ### Unorphan: loose files filed into their projects [Unorphan: loose files filed into their projects]() [Source: sushrutkhandelwal/unorphan]() A local app you point at a messy folder like Downloads: it works out which of your projects each loose file belongs to, reading the README or CLAUDE.md in your code folders, and files it into a matching folder under your chosen output location. Nothing moves until you press Move, and one click puts it all back. - Creator: sushrutkhandelwal - Stars: 2 - Licence: no licence - Model: [Jev]() - Tags: desktop, files ### A 3D disk map that asks Jev what's safe to clear [A 3D disk map that asks Jev what's safe to clear]() [Source: NoxLoveYa/space-sniffer]() A Windows disk-space map that draws your drive as a 3D city and asks [Jev]() which folders look safe to delete; those get a neon outline and land in a Reclaimable list, biggest first. - Creator: NoxLoveYa - Stars: 0 - Licence: GPL-3.0-or-later - Model: [Jev]() - Tags: desktop, windows ### A library's guide: Jev and Claude sort your email [A library's guide: Jev and Claude sort your email]() [Source: byui-library/jev-email-triage]() A step-by-step guide for people who don't write code: set up [Jev]() with Claude Code and build a read-only assistant that ranks the last two weeks of Gmail into piles like Reply needed, Waiting on them and Possible phishing. - Creator: byui-library - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: guide, email ### Nouli: multi-turn sessions for decision models [Nouli: multi-turn sessions for decision models]() [Source: nouli-ai/nouli]() Decision models forget everything after each answer; Nouli keeps a session. Type facts as you learn them and start a line with ? to ask a new question; earlier facts and answers stay in the history. A Rust CLI and library that can chain sessions into decision graphs, with [Jev]() through its TypeSafe adapter or other providers. - Creator: nouli-ai - Stars: 12 - Licence: MIT - Model: [Jev]() - Tags: cli, rust ### Kariyer decision bench: Turkish job ads [Kariyer decision bench: Turkish job ads]() [Source: kubrakrcn/kariyer-decision-bench]() Written at Kariyer.net R&D to pull seniority, department and work type out of job ads. On 600 real ads with 7 questions each (4,200 decisions), [Jev]() 1.13.0 scored 71.5% against 64.6% for the open tau-4b and 65.7% for a prompted 4B LLM. tau-4b was better calibrated (ECE 0.093 against 0.156), and it scored 95.7% on its own training data, which is why the author warns against benchmarking a model on the set it shipped with. - Creator: kubrakrcn - Stars: 0 - Licence: Apache-2.0 - Model: [Jev](), tau-4b - Tags: benchmark, turkish ### layagrep: train Laya to search code [layagrep: train Laya to search code]() [Source: gak4u/layagrep]() jevgrep finds code by asking [Jev]() thousands of yes/no questions. layagrep records those questions on SWE-bench tasks and fine-tunes the open [Laya]() to answer them locally, with no API key and no code leaving the machine. A smoke run on 400 held-out questions lifted file-navigation AUC from 0.79 to 0.94 ([Jev]() 0.97), but declaration relevance stayed at 0.58 ([Jev]() 1.00). - Creator: gak4u - Stars: 0 - Licence: Apache-2.0 - Model: [Laya](), [Jev]() - Tags: code-search, fine-tuning ### fastbrowse: a browser agent where Jev picks each action [fastbrowse: a browser agent where Jev picks each action]() [Source: agent-labs-dev/fastbrowse]() An LLM plans, reads and writes; [Jev]() picks each action from the controls indexed on the page, and code stops irreversible clicks without authorization. On 46 tasks run three times each against the hosted Browser Use agent, it passed 99.2% of runs to 96.3% and cost $0.0296 a run to $0.3180, 10.7x less, but was slower: 18.9 s a task to 15.3 s (published campaign release-0.7.1). - Creator: agent-labs-dev - Stars: 155 - Licence: MIT - Model: [Jev]() - Tags: browser, agent ### JEV Damocles: when a group-chat bot should speak [JEV Damocles: when a group-chat bot should speak]() [Source: ch7flyer/astrbot\_plugin\_jev\_damocles]() An AstrBot plugin that decides whether a bot in a group chat should reply. It merges bursts of messages, separates conversation threads, then asks [Jev]() four questions, batched into one request when the backend supports it (was the bot addressed, does it follow, should it reply, how urgent). For messages without a direct mention, quote-reply or poke, it uses a high and a low reply threshold alongside other checks, and scores in between can be reassessed later; those direct interactions can skip the gate. The README suggests a 3 to 7 day dry run first. - Creator: ch7flyer - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: chat, bot, astrbot ### jev-router: Jev sets Claude Code's reasoning effort [jev-router: Jev sets Claude Code's reasoning effort]() [Source: pyxl-dev/jev-router]() A Claude Code plugin that asks [Jev]() one choice question per message, low, medium or high effort, and applies the answer when [Jev]() is at least 60% sure. It changes effort, never the model, so the prompt cache survives. Subagents are never routed. - Creator: pyxl-dev - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: claude-code, plugin, routing ### JevRouter: Jev picks the next step, a policy decides [JevRouter: Jev picks the next step, a policy decides]() [Source: HangChi/JevRouter]() An agent runtime where an LLM reads the task, one [Jev]() call answers four typed questions (next action, risk, whether to confirm, whether to reason further) and a local policy engine decides what may run. On 53 versioned test cases it hit the expected action 92.5% of the time against 96.2% for an LLM baseline, at about 1.0 s against 4.0 s, and asked for confirmation on 16 of the 17 cases that needed it. - Creator: HangChi - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: agent, runtime, policy ### skill-tester: grading agent skills with Jev [skill-tester: grading agent skills with Jev]() [Source: milesroxas/skill-tester]() An eval harness for agent skills: headless agent runs, code checks, [Jev]() judge packs and blind human review; the generic pack asks one yes/no question per skill rule. Graded with the writing pack, the reference skill's v2 run matched its original benchmark's report within 2 points on every layer and in total. - Creator: milesroxas - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: evals, agent-skills ### Agastya: walking a document's outline to find answers [Agastya: walking a document's outline to find answers]() [Source: cars3/agastya]() Retrieval that walks a document's table of contents, asking [Jev]() one yes/no question per section, then ranks the sections it kept with EmbeddingGemma. On all 6,005 test queries of the public SearchTome release it returned 89.1% of gold sections at 3.6 sections per query, against 84.5% at 3 for EmbeddingGemma alone; its top-1 and top-3 recall equal the embedding model's. [Jev]() alone, ranking flat, scored 54.2 top-1. It needs no training and runs on one 8GB consumer GPU, and failed upgrades are published too. - Creator: cars3 - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: retrieval, search ### Jev picks the move for a robot arm [Jev picks the move for a robot arm]() [Source: uhiron55/physical-ai-2026-advanced-1-final-assignment]() A course project where [Jev]() chooses the transfer strategy for a CRANE+ arm in a Gazebo simulation, MoveIt 2 plans the path and ROS 2 controllers run it. In three episodes on authenticated [Jev]() decisions with no fallback, [Jev]() picked the home transfer at 0.94 to 0.96 confidence and all three placed the cube, 2.70 to 7.48 mm off target. These are scripted-teacher episodes; the README's separate learned-policy (ACT) tests are not reported as grasp success. - Creator: uhiron55 - Stars: 0 - Licence: Apache-2.0 - Model: [Jev]() - Tags: robotics, ros2 ### jev-droid: Android automation with two models [jev-droid: Android automation with two models]() [Source: frederico-kluser/jev-droid]() Drives an Android emulator from plain language: DeepSeek V4.1 Flash decides the next step, and [Jev]() triages each screen (loading, error, permission prompt) and guards actions before they run. The three-step demo in the README, Settings to Network to Wi-Fi, cost $0.00019 and took 21 seconds; every step saves its screen, decision, tokens and cost. - Creator: frederico-kluser - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: android, agent ### topic-gate: reset the chat when the topic changes [topic-gate: reset the chat when the topic changes]() [Source: tauseefau/topic-gate]() Asks [Jev]() one question per message, 300 to 600 input tokens, to tell whether the conversation is on the same topic, a subtopic or a new one, and recommends a session reset only when a new topic wins clearly (p of at least 0.65 and 0.25 ahead), so you stop paying to resend a dead transcript. Checked against live [Jev]() on related, unrelated and short messages. - Creator: tauseefau - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: context, agent ### pi-omarchy-cu: Linux desktop control for the Pi agent [pi-omarchy-cu: Linux desktop control for the Pi agent]() [Source: Paul-Yuchao-Dong/pi-omarchy-cu]() Lets the Pi coding agent drive real Linux desktop apps on Omarchy (Hyprland Wayland) by reading the accessibility tree and asking [Jev]() for the target element and the operation. It offers 11 Wayland-safe element operations. Jev-driven actions abstain below 0.55 confidence and need confirmation below 0.70, or 0.90 for destructive ones; direct operations on a known element run without [Jev](). - Creator: Paul-Yuchao-Dong - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: computer-use, linux, agent ### Decision Wall: 200 questions about one text [Decision Wall: 200 questions about one text]() [Source: charles-forsyth/jev-decision-wall]() Asks [Jev]() 200 yes/no questions about one text in a single call and shows the answers as a heatmap. The keyless hosted demo replays recorded answers. VENDOR-REPORTED: about 185 ms for one question, 200 ms for 50, and 150 to 300 ms for 200; seven parallel calls returned 1,400 answers in 282 ms, against 1,092 ms back to back. The author measured [Jev]() 1.14 from a US home connection and has not measured calibration. - Creator: charles-forsyth - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: classification, heatmap ### Jev-Router: choose a model after applying hard constraints [Jev-Router: choose a model after applying hard constraints]() [Source: AIAnytime/Jev-Router]() An OpenAI-compatible router that filters models by hard constraints before [Jev]() judges which one fits. VENDOR-REPORTED, on its own 30 prompts: tier accuracy was 100% against 53.3% for a heuristic, task-type accuracy 83.3% against 46.7%, and hard prompts sent to a weak model 0 against 14. Estimated savings against always using the strongest model, from token counts and configured prices rather than running the chosen models, were 35.6% against 68.7%; the heuristic's estimate was higher because it under-routed. Decision latency was 295 ms at p50 and 409 ms at p95. - Creator: AIAnytime - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: routing, agent ### PR wall: separate judgments about each pull request [PR wall: separate judgments about each pull request]() [Source: House-elves/pr-wall]() Puts open pull requests on a wall and asks [Jev]() eight typed questions about each diff and its tests, using quarkusio/quarkus by default. It keeps the answers separate and never combines them into a score. Right/Wrong feedback records corrections and groups accuracy by confidence as you label answers; no accuracy figures are published yet. Its questions and Quarkus context are adapted from brunobat/quarkus-pr-wall. - Creator: House-elves - Stars: 0 - Licence: Apache-2.0 - Model: [Jev]() - Tags: code-review, calibration ### Vercel form router: send submissions to the right team [Vercel form router: send submissions to the right team]() [Source: vercel-labs/jev-ai-sdk-form-router]() Routes lead, contact and issue forms with [Jev]() through Vercel AI Gateway and the AI SDK. It accepts [Jev]()'s destination when confidence is at least 95%; otherwise, or if [Jev]() fails, openai/gpt-6-luna-fast evaluates the submission independently. The result shows the destination, deciding model, timings and an email preview, with optional delivery. - Creator: vercel-labs - Stars: 15 - Licence: MIT - Model: [Jev]() - Tags: forms, routing ### OwnYourTimeline: filter the X Home feed [OwnYourTimeline: filter the X Home feed]() [Source: raghavio/ownyourtimeline]() Filters the For you and Following feeds in Chrome or Edge using a plain-language instruction and [Jev](). It sends one bulk TypeSafe request per timeline response, splitting to stay within input budgets, and removes posts scoring at least 0.90 before X renders them. Errors and timeouts leave posts visible; it checks at most 80 posts per response. The built extension has Chromium tests with X and TypeSafe responses stubbed. No filtering-accuracy figures are published. - Creator: Raghav Sharma - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: feed-filtering, browser-extension ### Jev router for GitHub Copilot [Jev router for GitHub Copilot]() [Source: TechPreacher/jev-router-copilot]() [Jev]() sizes a Copilot message as tiny, everyday, large or hardest and sends it to a helper agent pinned to a model. Defaults are Haiku 5.5, Sonnet 5.5 and Opus 5.5, with the hardest helper configured to request high effort. Recorded helper runs used medium effort. The author records live runs of the hook in Copilot CLI 1.0.105 and VS Code 1.144, plus the CLI wrapper. The MCP fallback is tested offline only. Its 54 offline tests passed when checked on 03 Nov 2026; it publishes no savings benchmark. - Creator: Sascha Corti (TechPreacher) - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: model-routing, coding-assistant - [Source: Live CLI wrapper run]() - [Source: Live VS Code run]() ### mail-agent [mail-agent]() [Source: Jaydccq/mail-agent]() Incoming Gmail goes through [Jev]() triage before alerts reach Telegram or Lark. Claude or Codex CLI can draft replies, which wait for a Send tap. One Python process uses one SQLite file. The author's testing notes record real [Jev]() calls on nine synthetic emails at about 0.1 s each, plus an end-to-end run with real Gmail, Telegram, [Jev]() and Codex CLI; they report no triage accuracy figure. - Creator: Jaydccq - Stars: 0 - Licence: Apache-2.0 - Model: [Jev]() - Tags: email-triage, notifications Author's recorded runs · VENDOR-REPORTED - [Source: Testing notes]() ### Sluice [Sluice]() [Source: Potterluo/sluice]() A coding harness lets a worker propose state transitions and a judge approve, reject or redirect them. Its 02 Nov 2026 real-model run used [Jev]() 1.14 as judge and deepseek-v4-pro as worker. The author reports five judge calls for under $0.0003; the allowed-choice menu corrected three requests for nonexistent states. A separate five-task SWE-bench pilot does not identify its judge, so its score cannot be attributed to [Jev](). - Creator: Potterluo - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: coding-assistant, agent-controller Author's recorded runs · VENDOR-REPORTED ### Drone Commander, Powered by Jev [Drone Commander, Powered by Jev]() [Source: Ramolisdenneyous/Drone-Commander-Powered-by-Jev]() In this local field test, [Jev]() picks a unit's action from legal option IDs supplied by a tactics game's rules engine. The server checks the choice; a deterministic fallback handles late, malformed or weak replies. The author estimates about 75% lower token cost for those decisions with no obvious loss of tactical ability. Those are early playtest impressions. The first matches set both confidence and margin gates to zero, letting every legal [Jev]() choice play. - Creator: Ramolisdenneyous - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: games, tactics Author's recorded runs · VENDOR-REPORTED ### GitHub issue labels and priorities [GitHub issue labels and priorities]() [Source: elcann7/jev-issue-triage]() A GitHub Action asks [Jev]() nine questions per issue in one request, then a decision table turns the probabilities into labels and priority tiers. Probabilities between 0.3 and 0.7 count as unsure. It has a dry-run mode. The author's run passes 65 of 66 checks on 16 synthetic issues for about $0.001. That small synthetic set includes a fixture revised after its fake-example wording affected the answer. - Creator: Elcan Səfərli - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: issues, automation Authors' published runs · VENDOR-REPORTED; not independently reproduced - [Source: MIT licence]() ### Prompt feedback while typing [Prompt feedback while typing]() [Source: filip-a-9/jev-prompt]() This Claude Code mod asks [Jev]() through OpenRouter to grade the prompt being typed and name what it lacks. Hints are advisory; zero-data-retention routing is on by default. On 84 prompts, the band agrees with labels 71% of the time against an 80% target. Across 217 prompts with known outcomes, hints appeared on 25; 24% of those were followed by trouble (95% interval 11% to 43%), against a 10% overall rate. AUC is 0.60. Three blind Claude labellers supplied the labels. The harness is private, and whether the hints improve prompts has not been shown. - Creator: filip-a-9 - Stars: 0 - Licence: MIT - Model: [Jev]() - Tags: coding, prompts Authors' published runs · VENDOR-REPORTED; not independently reproduced - [Source: MIT licence]()