Le panneau flottant affiche intention, risque et réponses proposées, à copier ou insérer dans le champ de discussion. Utilisez un Mac Apple Silicon avec macOS 13 ou ultérieur. Autorisez l’enregistrement de l’écran pour lire les captures, et l’accessibilité pour lire du texte ou insérer une réponse ; choisissez les fournisseurs dans les réglages.
Contenu et rédaction
Planifiez, évaluez et améliorez le contenu généré
87 projets · Tous les projets →
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Il extrait les documents, les indexe dans Qdrant, prépare un plan et recherche chaque section dans la collection locale. Jev évalue et reclasse les fragments et les lacunes ; un autre LLM planifie, interroge et rédige, tandis que Python gère les reprises.
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Build software like writing a book
A skill for writing and improving programs that call Jev, TypeSafe's System One model
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A prose linter that sniffs out AI writing tells. Zero dependencies, countable rules plus one judgment model.
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A Document OCR Router to help route pages based on content.
AI summaries of Signal group content - text, images, links, voices. Runnable locally through ollama.
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PowerShell decisions with TypeSafe AI's Jev model: https://typesafe.ai/blog/introducing-system-one-models-and-jev
Grade page sections for clarity, writing and on-page SEO. WXT + TypeSafe AI Jev.
Instinct: describe a case in free text and Jev picks the UI from a fixed catalog without generating a line of code or copy.
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Self-hosted Jev decision workbench and Feishu bot: automatic choices, probabilities, and experimental word/character writing.
Explore real-world use cases and projects built with TypeSafe AI's Jev: content moderation, AI agents, model routing, and semantic search. Curated by SeeAPI.
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.
Agent Skill: harvest links from newsletter emails into Raindrop.io with the author editorial context attached - Gmail read-only, three-layer dedup, zero-context library compare
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Guardrails for LLM apps in one API call. Prompt injection, jailbreaks, leaks, unsafe content. Built on TypeSafe Jev. MIT.
Content-aware PII redaction enforced in Neon Postgres: a redact() SQL function reveals or seals each field by your role.
Multi-axis writing quality checker powered by TypeSafe AI's Jev model. Separate named checks, each with its own verdict and confidence.
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next-generation decentralized voice recording platform that transforms how we capture, organize, and share audio content. Built as a comprehensive three-app ecosystem showcasing different Starknet integration approaches
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.
Find out which qualities of your writing actually predict engagement. Rates every post you have published against a pre-registered rubric using Jev's calibrated judgments, then tests those ratings against your real engagement numbers. Refuses to report findings your sample cannot support.
Experimental: live X draft viral scorer powered by TypeSafe Jev
Jev-trading is a desktop application that combines the ultra-fast neural network model Jev (by TypeSafe AI) with an intuitive visual interface. We've created a platform where the power of algorithmic trading is accessible without writing a single line of code, messing with Python scripts, or configuring servers in the terminal.
Evaluate content for slop and guide revisions with 15 TypeSafe Jev scores. Not an AI-authorship detector.
Agent skill for writing programs with Laya and laya-cli — local typed decisions (Choice/Score/Noul), port of building-with-jev-skill to Laya