What is the Jev AI Evaluation & Triage Workbench?

A Next.js workbench powered by TypeSafe AI for classifying, routing and scoring support tickets through structured schemas, with a three-column interface for reviewing results.

How does the three-column workbench work?

The README describes evaluating inputs, tweaking preset schemas and reviewing structured outputs in real time, so you can compare changes without leaving the page.

What metrics does it show?

It reports token breakdown, cost estimation, character count and latency benchmarking, according to the feature list, alongside the structured triage output.

What do preset management and draft states do?

Preset management preserves draft states when you switch prompts and lets you customize rules on the fly, which the README lists as a feature for repeated evaluation.

How do I install and run it?

Install with pnpm install, copy .env.example to .env, add TYPESAFE_API_KEY, then run pnpm run dev and open localhost:3000 or the /triage route.

What are the requirements?

Node.js 18 or newer and pnpm, npm or yarn; the README recommends pnpm. It also requires a TypeSafe AI API key, which is read from the environment.

What is missing from the captured README?

The excerpt ends where the testing section begins, so the actual test command, screenshots, deployment guidance and licence information are not available in the digest.

Jev directory

CommunityJev Demos & Experiments

Jev AI Evaluation & Triage Workbench

A Next.js workbench for evaluating AI ticket triage with TypeSafe AI: classify, route and score support tickets through structured schemas, then inspect outputs, latency, token use and estimated cost in a three-column view.

See highlights Open github.com

Stars: 0
Language: TypeScript
Reading time: 2 min
Published by: Community
Author: netflix2023
Last verified: Oct 2026

netflix2023/jev

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Forks: 0
Last pushed: Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.

Tagscommunity github typescript nextjs triage

Works forJev for Classification Jev for Routing Jev for Scoring

Used inJev for Customer Support

Languages: TypeScript
Platforms: Next.js Browser
Capabilities: Open sourceRequires API key

Highlights

Classifies, routes and scores incoming support tickets using structured TypeSafe AI schemas.
Three-column workbench lets you evaluate inputs, tweak preset schemas and review structured outputs live.
Tracks token breakdown, cost estimation, character count and latency for each run.
Preset management preserves draft states across prompt switches and lets rules be customized on the fly.
Needs Node.js 18+ and a TYPESAFE_API_KEY; runs with pnpm install, then pnpm run dev.

Quickstart

bash

pnpm install
cp .env.example .env
pnpm run dev

Watch out

README reviewed 2026-10-17; the captured excerpt ends at the start of the testing section, so the test command, screenshots and any deployment notes are missing. GitHub metadata shows 0 stars and no licence.

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