O que é o Jev AI? Jev + ChatGPT = Fim do Trabalho manual? Casos Práticos de Uso
This Portuguese-language tutorial explains Jev's probabilistic decision model architecture. The presenter showcases Playground modes including yes/no, score, and choice with custom criteria, then plans an architectural integration into an existing recommendation application using an LLM skill.
Original by Empresa 1P - Automação e I.AGetting startedIntermediate34 min 21 secPublished
Jev evaluates requests non-conversationally by outputting probabilities across predefined outputs (Yes/No, Score, or Choice) rather than generating conversational text.
Playground prompt criteria allow developers to steer probability outputs by providing explicit true/false domain rules or variable inputs.
In multi-step application workflows, Jev can be incorporated to score candidate affinities (like story similarities) to re-rank items alongside traditional database queries.
Worth knowing
The video demonstrates playground interactions and conceptual architecture planning, but skips the final runtime API execution and code deployment inside the target web application.