A remixable demo where typed or spoken feedback is classified and filed into an inbox by Jev from TypeSafe AI, with a cookbook to adapt it.
Made myself a playground to build small, working AI demos of real use cases. Each with a cookbook to remix it with your coding agent. First one: in-app feedback that sorts itself. Type or speak (ElevenLabs), and Jev from TypeSafe AI classifies and files it in the inbox.
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.
