I built an AI that filters what actually needs your attention — architecture, failures, and what works
The article discusses the development of Jigeum, an AI tool designed to prioritize important emails and notifications. The author shares insights on the challenges faced during the initial version and how the focus shifted to addressing attention management. Key features include an escalation system and a Trust Score to determine the urgency of incoming signals.
- ▪The original product, EVE, failed due to its broad scope and unclear value proposition.
- ▪Jigeum uses a 5-tier escalation system to classify incoming signals before they reach the user.
- ▪A Trust Score is assigned to each sender based on historical interactions and feedback.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3936365) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } yongrean Posted on May 17 I built an AI that filters what actually needs your attention — architecture, failures, and what works #showdev #webdev #ai #typescript I used to start every morning the same way: open Gmail, feel immediately overwhelmed, spend 40 minutes triaging emails that turned out not to matter — and then miss the one thing that actually did.
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