FolyAI explores issue triage with @typesafeai's Jev: flag impact and route decisions. 36 judgments, 12 requests, 818ms, synthetic inbox, real inference, no auto-execution.
Fast replies aren’t enough. Issues need owners. At https://Foly.ai, using @CompleteSkeptic and @typesafeai to explore #Jev triage: flag impact and route decisions. 36 judgments. 12 requests. 818ms. Synthetic inbox. Real inference. No auto-execution. #Jev #Typesafe
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.
