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What you can do with Awesome Jev

An unofficial curated list of Jev use cases, SDKs, tools, and learning resources for TypeSafe AI's System One model, which returns typed decisions instead of generated text.

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kraayenjon/awesome-jev on GitHub

Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk.

What do you want to do?

4 use cases

  • Route support tickets by intent and urgency in Python

    Sort incoming tickets into intent categories and flag urgent ones with the Python SDK.

    View prompt
    Using the repo kraayenjon/awesome-jev and the typesafe-sdk Python package, write a script that reads each ticket in <tickets folder> and sends it to Jev with a Choice question for intent, a Noul question for urgency, and a Score question for frustration. Output one line per ticket with the intent, the urgency value, and the frustration score. Verify that every urgency value is between 0.0 and 1.0 and that every intent is one of the option keys you defined.

  • Try Jev routing rules in the browser Playground

    Paste a sample message, add questions, and read typed answers without writing code.

    View prompt
    Using the repo kraayenjon/awesome-jev and the TypeSafe Playground, test a routing rule on <sample messages file>. Add one Choice question and one Noul question, run each example, and produce a table of message, choice, confidence, and noul value. Verify that the table covers every sample and flag any answer where the choice does not match the message.

  • Add Jev decisions to a JavaScript or TypeScript app

    Call the Jev API from Node.js with typed Choice, Noul, and Score questions.

    View prompt
    Using the repo kraayenjon/awesome-jev and the @typesafe-ai/sdk npm package, add a function in <target file> that takes a request body, sends it to client.systemOne with a choice question and a noul question, and returns both answers. Verify that the function compiles with TypeScript and that the returned object contains an answer for each question name.

  • Give a coding agent Jev skills for decision steps

    Install the TypeSafe agent skill so Claude Code or Codex can build Jev calls.

    View prompt
    Using the repo kraayenjon/awesome-jev and the TypeSafe agent skill from typesafe-ai/skills, add one Jev Choice decision step to <target function> in this project. The step should return a typed label that the existing code branches on. Verify that the project's test suite passes after the change and that the new call reads the API key from TYPESAFE_API_KEY.

How to use Awesome Jev

  1. Check you have what it needs: Access to Jev through the TypeSafe waitlist, Vercel AI Gateway, or Cloudflare Workers AI; A TypeSafe API key from the TypeSafe console, stored as TYPESAFE_API_KEY; Python with pip for the Python SDK, or Node.js with npm for the JavaScript SDK.
  2. Open kraayenjon/awesome-jev on GitHub and read the README and license.
  3. Run pip install typesafe-sdk.
  4. Create an API key at https://console.typesafe.ai/settings/keys and set it as the TYPESAFE_API_KEY environment variable.
  5. Copy the Python quick start from the README, replace the sample state with your ticket text, and keep the Choice, Noul, and Score questions.
  6. Run the script on a few sample tickets and check the intent, is_urgent, and frustration values.

These steps come from our top use case, Route support tickets by intent and urgency in Python, which also has a copy-paste agent prompt.

Awesome Jev alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • Access to Jev through the TypeSafe waitlist, Vercel AI Gateway, or Cloudflare Workers AI
  • A TypeSafe API key from the TypeSafe console, stored as TYPESAFE_API_KEY
  • Python with pip for the Python SDK, or Node.js with npm for the JavaScript SDK
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Questions about Awesome Jev

What is Awesome Jev?

An unofficial curated list of Jev use cases, SDKs, tools, and learning resources for TypeSafe AI's System One model, which returns typed decisions instead of generated text. It is an open-source project on GitHub: https://github.com/kraayenjon/awesome-jev.

Who is Awesome Jev for?

Developers and AI agents who want to add typed classification, routing, or scoring steps to software using the Jev API and its SDKs.

What can I do with Awesome Jev?

4 use cases so far, for example: Route support tickets by intent and urgency in Python; Try Jev routing rules in the browser Playground; Add Jev decisions to a JavaScript or TypeScript app. Each has steps and a copy-paste agent prompt.

What do I need to run Awesome Jev?

Access to Jev through the TypeSafe waitlist, Vercel AI Gateway, or Cloudflare Workers AI; A TypeSafe API key from the TypeSafe console, stored as TYPESAFE_API_KEY; Python with pip for the Python SDK, or Node.js with npm for the JavaScript SDK.

What are alternatives to Awesome Jev?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Awesome Jev safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.