Our summary
Support software often needs to decide who should handle a message before anyone writes a reply. Ramón Chancay explains Jev through this kind of ticket sorting. Instead of producing a paragraph, the model returns answers in forms that ordinary software can use directly.
His example asks which support team fits the ticket and separately whether the customer is losing money now. A team comes from a fixed list; the urgency question returns a probability of yes. The application can send uncertain cases to a larger writing model or a person.
A permitted answer can still be the wrong answer. Confidence summarizes the model's probability pattern, not proven accuracy or permission to act. Chancay recommends trying the decisions alongside the existing process before using them. Keep calculations and dates in code, and test the language your customers actually use.
Key takeaways
- Separate the team assignment from the urgency question so one answer does not hide the other.
- Compare suggested routes with real handling before letting them affect tickets; set cutoffs from those results.
- Keep arithmetic and date checks outside Jev, and retain the supplied message and full answer when investigating mistakes.