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 Source reviewed
Before you press play
What you’ll find in the video
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
Gemini-assisted video/transcript review. The video demonstrates playground interactions and conceptual architecture planning, but skips the final runtime API execution and code deployment inside the target web application.