# Made with Jev Made with Jev is a directory of projects, posts, guides, and tools built with Jev, TypeSafe AI’s System One model. It helps readers browse examples by build type or use case, inspect reported cost and speed, and submit projects for consideration. - Findings24: - Website: - Pricing: Freemium - Categories: Education Tools ## What is Made with Jev? Made with Jev is a community directory of projects, posts, guides, and tools built with Jev, the System One model from TypeSafe AI. It organizes linked examples by build type and practical use case, helping readers find implementations rather than presenting Jev as a standalone application. The site states that it is not affiliated with TypeSafe AI. Listings link to their original source and may include performance details reported by the project author, such as cost or runtime. The directory also publishes guides covering what Jev is, how to use it, engineering patterns, pricing, agent integrations, and selected use cases. Reported project measurements should be read as individual examples, not standardized benchmarks. ## What can Made with Jev do? ### Build directory Browse a catalog of Jev-related projects and resources, including GitHub repositories, X posts, YouTube videos, sites, guides, skills, and other community submissions. ### Type and use-case navigation Filter or explore entries by build type and categories such as agents and browsers, coding, open source, documents and OCR, games and real time, and tools and apps. ### Source-linked listings Open the original repository, post, video, live site, or write-up behind an entry instead of relying only on a directory summary. ### Reported project metrics Review author-reported details where available, including cost, runtime, throughput, or the number of items handled by a build. ### Jev learning guides Use the site’s guides to learn about Jev, its engineering approach, pricing, agentic workflows, MCP, Claude Code, orchestration, and selected applications. ### Community submissions Submit a link to a Jev-related project for consideration; the form accepts repositories, posts, videos, write-ups, and live demos, with optional contributor credit. ## Use Cases ### Research implementation patterns Developers can compare how different projects use Jev for classification, routing, browsing, document processing, memory, evaluation, and other decision-oriented tasks. ### Find working examples Teams evaluating Jev can follow source links to inspect demos, open-source code, tutorials, and live tools before designing their own implementation. ### Explore use cases by problem Readers can start from categories such as inbox and support, search, social feeds, SEO and GEO, trading and markets, robotics and devices, or games and real-time applications. ### Learn the integration workflow Builders can use the directory’s guides to understand API usage, confidence-based branching, agent workflows, MCP, gateways, and framework integrations documented on the site. ### Share a Jev project Authors can submit a repository, post, video, write-up, or demo so the project can be reviewed for inclusion and optionally attributed to their X handle. ## Frequently Asked Questions ### What is Made with Jev? It is a directory of projects, posts, guides, and tools built with Jev, the System One model from TypeSafe AI. It links to original sources and groups entries by type and use case. ### Is Made with Jev operated by TypeSafe AI? The site states that it is not affiliated with TypeSafe AI. ### What information does a project listing contain? Listings link to an original source and may show author-reported measurements such as cost, speed, runtime, throughput, or the number of items processed. Not every entry includes all of these details. ### How can I submit a project? Use the site’s submission form and provide a link to a repository, post, video, write-up, or live demo. The form also offers an optional X-handle field for contributor credit. ### Are the reported costs and speeds standardized benchmarks? No. They are measurements reported by individual authors for their own projects and should be treated as build-specific examples rather than directly comparable benchmarks. ## Quick Facts - **Product type**: Community directory and learning resource - **Focus**: Projects built with Jev, TypeSafe AI’s System One model - **Listing sources**: GitHub, X, YouTube, websites, guides, skills, and other resources - **Navigation**: Browse by build type, use case, or search - **Submission formats**: Repository, post, video, write-up, or live demo - **Affiliation**: Not affiliated with TypeSafe AI