What is Jev and How to Use It with an LLM? (Free Lab)
KodeKloud follows a support ticket through small decisions that sit beside an LLM: choosing a team and a reply model, asking for human approval before a refund, and checking a drafted response against policy. It also explains why confidence needs testing on your own tickets before you let the program act.
Original by KodeKloudAgent workflowsBeginner21 min 1 secPublished
Supply the ticket as state, define the answer options, and include an ‘other’ choice so an unfamiliar case is not forced into a named team.
Let an LLM draft the reply while Jev helps route it, flag actions for human approval, and check the draft against the supplied policy; keep exact numeric rules in code.
Start with a low-risk decision in shadow mode, record what Jev would have chosen without changing the live workflow, and compare accuracy with confidence before setting a threshold.
Worth knowing
The ticket outputs and thresholds are teaching examples, not measured accuracy or safe default settings. Jev can choose the wrong option even when confident. The advertised free lab was not tested, and the presenter’s identity was not verified.