A localization pre-review gate that pairs source and target strings and judges meaning, terminology, tone, and placeholders as separate questions, so one failing dimension blocks a release without blending scores.
A podcast chaptering tool that labels transcript windows and marks boundaries as separate local judgments, classifying content, sponsor, and housekeeping segments without generating prose for the titles.
An MIT-licensed, local-first conversation memory app that transcribes meetings, calls and voice memos on-device into Markdown you own. Its live voice path runs evaluations through Jev, and 34 MCP tools plus a 58-command CLI let coding agents query the history you choose to share.
Notebook benchmark that compares Jev with open models and specialised tools on five document-pipeline chores: language detection (Choice(12)), page orientation (Choice(4)), RVL-CDIP classification (Choice(16)), bundle splitting and parse-tier triage, with liteparse doing all PDF rendering and OCR work.
Local-first knowledge search with seven selectable pipelines: BM25 plus Jev reranking is the default vector-free path, plus agentic, embedding-hybrid, taxonomy, gate and line-search modes. Reranks up to 30 candidates in one batched set of Jev Noul relevance questions and streams cited answers from a configurable model.
A CLI that checks new papers, repositories and feeds each morning against your open research questions, asking Jev Noul gates and Score dimensions through Pydantic AI's typesafe model; an LLM writes only the prose into Obsidian notes.
A Jev harness for PostgreSQL: 41 semantic operators plus a native Rust extension evaluate row-level predicates with Noul questions and keep the returned probabilities for explicit decision thresholds, leaving joins and aggregation to SQL.
Loadable SQLite C extension and Python package that exposes Jev Noul, Choice, and Score judgments as SQL scalar functions and a jev_rows virtual table which batches up to 40 rows into one shared state and joins typed results back to the source by rowid.
Privacy-first, self-hosted personal knowledge management system with block-level references and a local-first Markdown editor; the project integrates Jev's decision model for high-speed document classification, flashcard intent categorization and automated tag routing.
Grounded information extraction library: deterministic code proposes candidate spans with exact offsets and Jev answers one Choice per span plus sentence-level Nouls, so every extraction is a substring of the source. Ships a bilingual benchmark and paper.
Volcengine's agent context database that unifies memory, knowledge RAG and skills under a viking:// virtual filesystem; it ships a Jev rerank client that scores candidate documents against api.typesafe.ai and treats the probability as relevance.
Precision-first RAG orchestrator that wires Jev as a System 1 gate around an LLM: it routes chitchat, triages retrieved chunks with relevance and answer-evidence Nouls, then verifies each claim and withholds drafts whose claims are unsupported.
Graph RAG framework over Milvus vector search with no graph database required: Jev Noul judgments select graph relations and rerank full source passages alongside vector-search candidates, reaching 86.07% average Recall@5 on 1,000 MuSiQue and 1,000 2Wiki queries in the two-stage evaluation.
An agent skill from the ThursdAI community that teaches Choice, Noul, and Score batching, scans repos for movable LLM judgments, and ships Python helpers without extra npm deps.
A Claude Code plugin and npm library that replaces transcript summarization with Jev keep-or-drop judgments, deleting stale tool calls and results while kept text stays verbatim.
A Claude Code Stop hook that reads the turn transcript locally and spends one four-question Jev call only when files changed with no passing check since, blocking unverified done claims.
A macOS computer-use loop that OCRs the screen, asks Jev for the next action with typed Choices, and clicks, at about $0.0002 per decision without sending screenshots to a frontier model.
A hybrid coding harness for Pi where any LLM writes the code while Jev returns typed probabilities that deterministic policy code turns into allow, confirm, block, warn, or steer.
A tldraw canvas controlled by voice and a webcam-tracked fingertip: every partial transcript triggers one Jev request through OpenRouter's Decisions API that decides the action, shape, colour, and place.
A Codex plugin and npm library that wraps native session compaction: Jev scores every tool call and result, and the verbatim history it keeps is re-injected after Codex summarizes. The README does not recommend using it.
A Chrome extension and small web app that skips YouTube sponsor reads: Jev names transcript lines or answers yes/no about what it heard, and code owns every timestamp that gets cut.
A Stop hook that keeps coding agents from quitting early: rules written in plain language are scored by Jev in about 0.7 seconds, and a violated rule sends the agent back to work instead of letting it stop.
An Android overlay that reads visible WeChat, QQ, and X conversations through accessibility, asks Jev for intent, danger, and the best action, then drafts three replies and fills one in without ever sending it.
Experimental Slidev addon that streams presenter voice through a Cloudflare Worker, where Jev answers four typed questions before TypeScript applies the navigation policy and advances the deck.
Generative UI framework with an experimental Jev composer that selects components and layout from application-supplied candidates through Vercel AI Gateway, rendering catalog-constrained JSON specs.
Text-only classifier for 261 federal tax forms that sends each PDF page's text to Jev, which returns a probability over forms and page kinds behind a confidence gate; no model is trained.
A macOS floating panel that reads visible WeChat messages through OCR, has a local decider model or TypeSafe Jev classify intent and risk from 0 to 9, then generates and reranks reply candidates without injecting anything into WeChat.
A Jev-guided context compaction library for coding agents: instead of summarizing old context, Jev decides which tool calls and results still matter while user and assistant text is kept verbatim.
A cross-platform memory layer for AI coding agents: conversations from Claude Code, Codex, DeepSeek Harness, OpenClaw, and OpenCode become Markdown memories indexed in Milvus, with optional Jev reranking through the TypeSafe API.
Control a headed Chromium window by voice: one Jev request per partial transcript decides intent, target, and completeness in roughly 300 ms, while code applies thresholds and builds the action.
Render a live Jev meter over any video: Whisper transcribes, every sentence is scored, and ffmpeg exports a 16:9 edit with flags and a scoreboard. Presets cover debates, calls, and pitches.
An open Python toolkit with question builders, confidence gates, tiered routing, a concurrent corpus evaluator, calibration tooling, a CLI, and an MCP server, with published benchmarks.
A Claude Code plugin and npm library that replaces transcript summarization with Jev keep-or-drop judgments, deleting stale tool calls and results while kept text stays verbatim.
Browser loops are long series of small decisions, and the expensive model does not need to make any of them. The patterns behind the fastest agents, from element tables to OCR plus accessibility trees.
Jev Tools & CLIs#browser#computer-use#agents
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Watch: Jev in action
Video walkthroughs and demos from the community.
YouTube: David Ondrej explains the architecture behind Jev and how to build a business on it.
YouTube: Maximilian Schwarzmüller on the new kind of model that beats LLMs in the areas it was built for.
YouTube: Albert Olgaard tests Jev and explains why System One models matter.
Discussions about Jev
Threads from Reddit and Hacker News about building with Jev.
Hacker News: SafeDep Gryph plus Jev checks for compromised coding-agent behavior.