Bài đăng ra mắt Jev
Diogo Almeida giới thiệu Jev, mô hình ra quyết định có cấu trúc của TypeSafe. Xem bộ phim giới thiệu và khám phá chuỗi gốc để tìm hiểu cách tiếp cận, ví dụ và hiệu năng được báo cáo bởi tác giả.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Tinh hoa Jev: dự án thực tế, hướng dẫn hữu ích và ý tưởng từ khắp internet.
Diogo Almeida giới thiệu Jev, mô hình ra quyết định có cấu trúc của TypeSafe. Xem bộ phim giới thiệu và khám phá chuỗi gốc để tìm hiểu cách tiếp cận, ví dụ và hiệu năng được báo cáo bởi tác giả.
Thông báo chính thức ra mắt TypeSafe giới thiệu phòng thí nghiệm và hướng người phát triển đến Jev. Bao gồm bộ phim giới thiệu của Diogo Almeida và lời giới thiệu ban đầu.
TypeSafe thông báo truy cập công khai vào Jev mà không cần danh sách chờ. Bảng điều khiển chính thức là điểm bắt đầu để thử nghiệm các quyết định có kiểu trong ứng dụng của bạn.
TypeSafe nhấn mạnh cách tiếp cận đầu ra có kiểu của Jev: các ứng dụng cung cấp trạng thái và câu hỏi, sau đó thực hiện hành động dựa trên xác suất, lựa chọn hoặc điểm số. Thông báo liên quan cũng đề cập đến tích hợp API Venice.
Start with the Launch Post. Explore four official signals.
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AI-assisted summaries and translations. Check original sources for context and performance claims.
Thí nghiệm thử thời trang trực tiếp bằng Jev để chọn và thay đổi trang phục dựa trên đầu vào người dùng và phân tích bản ghi cuộc trò chuyện.
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A voice-controlled interface for Figma utilizing Jev, demonstrating low-cost AI integration for design tools.
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Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line counts.
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Steve Krouse's playable 16-judgment demo and video.
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A community post describing a system that matches one candidate to 400 companies with a confidence score in 12 seconds.
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A developer project offering a Chrome extension to blur low-value LinkedIn posts, collected for the creative shelf.
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A tool that automatically locates and retrieves invoices from any website using Jev's capabilities.
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A method for creating pixel art through iterative sketching and refinement using Jev and DeepSeek.
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A livestream analyzing Jev's architecture for JSON-predicting models.

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A community experiment using Jev to analyze social media posts and determine effective content strategies.
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Jev demonstrates potential for innovative UX/UI design through language model integration.
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Jev generates piano music by selecting notes and chords based on input sequences.
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Jev controls live 3D character expressions with real-time decision-making.
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Uses Jev to conduct a musical orchestra in real time through a demonstration project.
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A community post describing Jev's use for analyzing competitors' ads and generating creative shortlists.
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Explains Jev's advantages over older LLMs in decision-making and building.
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A community post exploring Jev's role in improv judging, presented as a creative experiment.
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Using Jev on Cloudflare Workers to improve search and content tagging efficiency on keep.md.
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Jev generates 100 images from sources like NASA and The Met based on a single prompt.
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A live Bluesky feed with real-time emotion detection and user avatar matching.
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A creative project using Jev and other tools to generate digital art, specifically a painting of the Golden Gate Bridge.
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A tool enhancing zsh autosuggestions with Jev-based ranking instead of prefix matching.
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A method for expressing emotions through sound-based communication.
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Technical SEO audit cost study from Boring Tools Kit where Jev ranks striking-distance fixes and content gaps by calibrated probability.
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A 2-minute song composed by Jev-thoven using first principles.
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An experiment using Jev to transform simple English into elaborate prose in real-time during writing.
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A community post listing Chinese open-source Jev clones with technical specifications.
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Uses Jev to play Pokémon Showdown with mixed results, demonstrating its decision-making capabilities in a game context.
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A SillyTavern extension that evaluates replies before they are displayed, collected for the creative shelf.
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A tool that analyzes WeChat threads for emotion, intent, and reply quality.
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A system that quickly captures user interface flows on demand, enabled by Jev's fast processing capabilities.
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Visual-Jev is a GitHub research project that makes decisions based on images rather than text descriptions of visual content.
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Moved hard-coded rules to Jev for faster AI processing and reduced costs in projects like aiseotracker and linkdr.
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Go client for TypeSafe's System One API and its model Jev: typed judgments and calibrated probabilities instead of generated text.
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Mini-Jev: what a Jev-style typed-decision interface looks like on a frozen Qwen3-4B — read the option letter's logits instead of generating JSON. Preregistered experiment, results, teaching bench.
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Can a System One model steer music? Jev picks the plan (enums only); code renders sheet, audio and MIDI.
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A user creates music by giving real-time voice commands to Jev.
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A process using Jev to filter and select assets, then generate ad creatives with DeepSeek and Higgsfield.
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A Chrome extension using Jev to detect and skip YouTube sponsor segments in real-time.
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A 4-minute video explaining what Jev is and its limitations.
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Fork of OpenPoke where the yes/no decisions go to Jev instead of Claude Sonnet, with a same-inputs A/B against the replaced LLM decision and a 43,776-request adversarial run on the injection gate.
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Video comparison against a structured-output LLM baseline.
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Claude Code plugin that scores review findings, debug hypotheses and design options with TypeSafe's Jev — calibrated probabilities instead of one more opinion.
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Inspired by TypeSafe Ai, Ask a local LLM typed questions, get calibrated probabilities instead of text. Structured output without generation or parsing. MLX / Apple Silicon.
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A GitHub project developing a screen overlay to identify manipulative interface patterns.
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Head-to-head test at validating local event listings, with cost and latency.
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A developer project using Jev to score sales calls, collected for the creative shelf.
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Short video explainer of how Jev's typed-decision loop works.
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Put a live Jev (TypeSafe) meter on any video: every sentence scored, rendered as a 16:9 edit.
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