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.
I created an EC real-time customer service demo using Jev and gpt-live-1. Even in the middle of a conversation, it immediately suggests recommended products based on the user's speech, which feels like a really great experience. Also, in this demo, I only implemented it
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 demo uses AI to determine comment meaning and route live comments into Questions, Impressions, Requests, or Others, making it easy to grasp by running it.
