walidboulanouar/awesome-jev-use-cases

What it solves

Jev is a model from TypeSafe AI that answers typed questions — like picking a choice, giving a score, or returning a yes/no with a probability — instead of writing text. This project solves the problem of discovering what you can actually build with Jev. It collects dozens of real-world demos, shows how popular they are, documents what Jev cannot do, and lists reported costs and latency, so you don't have to search scattered posts or guess at its capabilities.

How it works

This is an open-source, community-curated list (Awesome-style) maintained by walidboulanouar and sponsored by AY Automate. It organizes entries into clear sections: a Top 30 of the most-liked demos with clickable cards, a "Browse by area" table grouping demos by purpose (content, apps, agents, triage, games, trading, research), an FAQ answering common questions, a detailed list of Jev 1.13's limits, reported cost/latency numbers, sections for patterns, open-source projects, and even ideas nobody has shipped yet. Each demo links to its original post and shows the author, likes, reposts, and a "reach" metric (likes divided by author followers). The list is free to copy and reuse under CC0.

Who it’s for

It's for developers, builders, and curious engineers who want to evaluate Jev as a decision engine for their own apps. If you're considering using Jev for routing, classification, triage, game agents, or content filtering, this list gives you concrete examples from real projects, plus honest caveats about its weaknesses (math, counting, literal reading) and real-world performance numbers.

Highlights

• Top 30 most-liked demos with ranked cards and full metrics (likes, reposts, reach).
• Demos grouped into 7 areas: Content and growth, Apps and tools, Agents and computer use, Triage and routing, Games and real time, Research and data, Trading and markets.
• FAQ section covers what Jev is, how to call its API, cost, and what you can build.
• Documented limits of Jev 1.13: reads literally, weak at math/counting/dates, accuracy drops with irrelevant state.
• Reported cost: $42 per billion input tokens, output tokens free; Vercel offers free access until Sept 25.
• Patterns section shows how working demos are put together.
• Over 150 open-source Jev repositories are listed.
• Includes a section of ideas nobody has shipped yet, inviting newcomers to build them.
• Fully open source under CC0, welcoming pull requests.