Using the example of a game support case where the same user sends daily complaints about a character, the post discusses Jev's judgment axes and contrasts it with a human classifying them as fan letters.
sol副長とJevさんの判断って何軸なんだろうねって話してました。例えばで、 ゲームへのお問い合わせで、毎日、同一ユーザーから、特定のキャラクターへの細かい不満が届く場合 Jevさんはなんと判断するのだろうか。 Nashiならファンレターとして分類する。
The author shares a Jev usage insight: it seemed tricky at first, but clicked when framed as 'not letting the AI write text.' Using inquiry handling as an example, the conventional approach dumps everything on GPT or Claude to analyze, while Jev takes a different approach.
The prototype uses AI to estimate hesitation or interest from cursor back-and-forth movements or lingering before clicking, observing customer demeanor and supplementing explanations or suggesting comparisons.
The author built an e-commerce real-time customer service demo using Jev and gpt-live-1, which instantly suggests recommended products based on the user's speech during a conversation, delivering a great experience.
