The post lists potential Jev use cases, arguing that customer support, model routing, and LLM guardrails are solid directions, and suggests placing Jev before and after existing LLMs.
ユースケース一覧 決まった判定を安く繰り返すか 多数の判定をまとめて速く行うとこを活かすか カスタマーサポート モデル振り分け LLMガードレール とかは鉄板そうだし、 既存のLLMの前段と後段に入れるのは外れなそう。 #Jev #TypeSafeAI
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.
