Support ticket classifier
X post showing Jev labelling support tickets for category, urgency and whether a human or automation should handle them.
This summary is based on how curated lists describe the project; its README was not available to review.
Overview
This is a post on X. According to the directory summary, it shows Jev labelling support tickets on three dimensions: category, urgency, and whether the ticket should be handled by a human or automatically.
No post text was fetched, so the label sets, accuracy and any comparison with other methods are not available here. It is a compact example of the most common Jev pattern, several typed questions over one ticket in a single request.
What the decision model decides
| Type | Question | Answers |
|---|---|---|
| Choice | What category is this ticket? | — |
| Score | How urgent is this ticket?(inferred) | — |
| Choice | Should a human or automation handle it? | human · auto |
How it works
- Send the ticket as state
- Ask category, urgency and handling questions
- Route according to the answers
Strengths
- Three decisions from one request
Caveats
- Grounded only in a one-line summary
At a glance
- Type
- Discussion
- Status
- discussion
Use cases and integrations
How curated lists describe it
Jev labels category, urgency, and human-versus-auto handling for support tickets.
hellogumbo/awesome-jev
Frequently asked questions
What does Jev label?
Ticket category, urgency, and human versus automatic handling.
Is code available?
Not stated in the available information.
Where is it?
x.com/ifahimreza/status/2100616988746023102.
Related projects
Auto-updated bilingual leaderboard of Jev ecosystem projects, tutorials and discussions, discovered daily and sorted by GitHub stars.
ProjectproductionLangChain notebook of practical Jev examples: ticket triage, model routing, reply guardrails, tool selection and finance-inbox fraud checks.
ProjectprototypePythonChatGPT-style web chat where every word of every reply is a Jev multiple-choice decision over a ~1,800-word vocabulary plus END.
ProjectprototypeTypeScriptExperiment that deliberately misuses Jev as a text generator by asking which symbol comes next and sampling from the returned distribution.
ProjectresearchPythonChat client that makes Jev write by asking Next word? over a 20,000-word dictionary in 255-word buckets plus a run-off.
ProjectresearchPythonIssue in the Orcha multi-agent orchestration project proposing to move judgment calls onto Jev to cut model cost.
ProjectdiscussionPython