A lightweight, auditable Jev testbench built through Agentic Engineering, with frozen evidence, a preregistered null result, and a bilingual technical blog. 基于 Agentic Engineering 的轻量、可审计 Jev 实验台，包含冻结证据、预注册负结果、双语技术博客与认知负债反思。
Content & writing — page 2
Writing assistants and content pipelines that use Jev to choose an outline, score a draft or classify a document.
87 active projects match this task, ordered by traction.
Content-based spam detection and review decisions for Laravel, powered by TypeSafe Jev.
Vietnam - Content safety guardrails for AI chatbots: input, output and conversation checks over one policy file with Jev
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Copy the most winning ads and have a synthetic focus group.
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Mop the slop out of your LinkedIn feed. Not an AI detector: a bad-writing detector. Chrome extension + Vercel server, powered by Jev from Typesafe AI. MIT.
A Claude Code hook that asks whether the decision you are writing needs a model at all. Includes a measured 149-row comparison of TypeSafe Jev against Claude Haiku 4.5.
A test project based on Jev AI, the goal is to build a search function for a blog/article website that has 100s of articles to search from, So the user can actually use the search as chat to question anything and find related answers/articles
Prompt-rewriting extension for Pi. Takes a rough draft in the Pi editor and turns it into a cleaner, stronger prompt without leaving the editor.
Sample code for the Qualiteg Blog article: Jev (TypeSafe AI) hands-on, 244 API calls measured from Python
Decides route by route whether a full-page cache may serve one anonymous visitor's copy of a page to everyone, from response headers, WordPress and WooCommerce markers and TypeSafe's Jev model.
Strapi 5 editorial review and publish guard powered by TypeSafe Jev
Daily AI blog digest: Feedly OPML -> Jev -> LLM summaries -> Telegram
Technical case study exploring Jev (jevtypesafeai.com) as a semantic decision layer for ad detection in a Chrome extension.
A code review check that learns from reviewer rulings without fine-tuning. Jev (TypeSafe AI) judges each diff hunk against your team's guidelines; a Meko datapack (powered by YugabyteDB) holds the guidelines, the rulings, and a trace of every decision. Companion repo for the blog post "Jev and Meko Make Code Review Feedback Stick".
X draft gate powered by TypeSafe Jev (System One): hard secret checks + Noul scores before you publish.
Experimental macOS menu-bar assistant using TypeSafe Jev to recommend Codex models from drafts.
Reproducible experiment: can TypeSafe's Jev decision model prioritize SCA and SAST findings from context? Frozen benchmark, 50k scale run, frontier-model comparison, raw data and blog.
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Live annotation-only writing editor with Jev and structured-output LLM scoring
Jev vs Laya on Bulgarian: two System One models suggest a category for each blog post. A local BgGPT names new topics.
Command-line reviewer for technical writing: reader fit, AI-writing signs, and audience literacy, judged by TypeSafe Jev
A Jev decision layer for Customer Success — 22 typed decisions per inbound message, 14 per account, 10 per outbound draft. Zero dependencies, 38 tests, runs offline.
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Echo: an 87 KB copy of Jev for Snake. About 800× faster; with search, 5× the score.
Chrome extension that uses TypeSafe AI's Jev (System One) to filter ads and uninteresting content out of Xiaohongshu feeds. BYOK, fail-open, self-serve dislike rules. Weibo & Bilibili adapters on the way.
A source-grounded method for producing newsletters and long-form writing with staged AI work and TypeSafe JEV quality gates