Scrapers, OCR pipelines and document processors. Jev classifies fields or decides whether an extraction is usable.
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typesafe-computer-use turns a written goal into desktop actions using OCR and accessibility controls on a Mac. TypeSafe Jev chooses the action, target and site; code supplies facts, while a separate writer handles free text. Provide a TypeSafe key and screen-recording and accessibility permissions. The CLI offers a dry run before real mouse and keyboard control.
JevChat-Windows reads WeChat and KakaoTalk conversations with local OCR and offers candidate replies beside the chat window. Jev judges intent and tension and ranks three candidates; a separate language model drafts them. Configure a decision-provider key and a drafting-provider key on Windows 10 1903+ or Windows 11.
The library identifies IRS forms and page kinds from extracted text using a JSON registry of form descriptions. Use classifyPage with text lines, jevBackend and criteria.json. PDF helpers additionally require Poppler; the backend needs a TypeSafe key.
DocJev classifies PDF, DOCX and PPTX documents or splits packets into categorized page ranges, with optional PDF exports. Install the Python package with uv, export TYPESAFE_API_KEY, and run docjev classify or split with category rules. Office formats require LibreOffice.
The tool extracts and indexes document content in Qdrant, plans an outline and researches each section against the local collection. Jev judges and reranks retrieved chunks and scores missing coverage; a separate LLM plans, queries and writes while Python controls retries.
Data extraction for systematic reviews, quoted from the papers. Ask a trial report and its supplements your extraction form or a RoB 2, ROBINS-I, QUADAS-2 or TIDieR template; Jev points at the lines, every answer is a verbatim quote with its page, you check it and export the table. Files stay in your browser.
A Document OCR Router to help route pages based on content.
Open-source macOS AI computer use and native GUI automation on Apple silicon. Jev + OmniParser CoreML + Apple Vision OCR. Bring your own OpenRouter, Vercel AI Gateway, or TypesafeAI token.
Use Jev (TypeSafe's System One model) as a calibrated reranker: one call, up to 30 documents, a probability per document. Apache-2.0.
Route form submissions to the right people with Jev and AI SDK.
Windows 微信回复助手（非官方修改版）：本地离线 OCR 读屏 + 模型起草候选回复 + 一键填入微信输入框，可选自动发送。不 hook、不注入、不读微信数据库。
DeepSeek + TypeSafe JEV 微信回复助手：Windows 正式版、Apple Silicon macOS 预览版；本地 OCR 与人工可控回复
JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.
DeepSeek Harness (dsh) 插件:论文伴读工作台 —— PDF 转录 / 检索 / 流式问答 + 内置阅读器页面。
Semantic code and document search CLI — BM25 recall + TypeSafe Jev calibrated precision
Ask a PDF in your own words and watch the matching lines light up. React + pdf.js + TypeSafe Jev.
Local-first document evaluation workspaces powered by Jev
.NET client for TypeSafe System One (Jev) — typed questions in, typed answers with probabilities and confidence out. No prompt engineering, no output parsing.
Natural-language MCP tool dispatcher powered entirely by TypeSafe's Jev — no general-purpose LLM. Discovers a simple MCP server's tool signatures at runtime and uses Jev's typed primitives (Choice/Noul) to pick the right tool and extract its arguments straight out of the sentence.
A browser form for building requests to TypeSafe's Jev: pick a template, fill in the blanks, copy the request. No JSON, no install, runs locally.
An open-source, AI-powered resume builder designed to craft high-impact resumes. Features smart content enhancement using the STAR method, instant PDF previews, and seamless export. Built with Django, Htmx, OpenAI, and WeasyPrint.
MCP-first toolkit for TypeSafe/Jev — the System One decision model. One stdio server (jev mcp) serves any MCP-capable harness, backed by one local event log and Prometheus impact metrics you can scrape into your own Grafana.
Parsing the PDF and extracting the relevant information
Text/PDF - File categorization and sorting with Typesafe AI Jev or local calibrated decision model