Jev 做 agent 通知中心与技能按需加载
作者提出 Jev 的两个非降本用法：过滤 Slack、webhook 等实时事件只推重要消息给 agent，以及按用户消息决定加载哪些技能。
I've discovered two ways Jev fundamentally improves my agent workflow, and it's the opposite of how most people are using it. The most exciting use-cases for Jev aren't about cost reduction such as model routing, context compaction, or cheaper LLM-as-a-judge. Rather, the essence of Jevon's paradox is in expanding what is possible. Notification center for agents - Use Jev as a monitor for real time events (e.g. slack messages, webhooks, etc.). Only forward important/urgent messages to the agent. Think of this as a parallel capability to scheduled tasks that enable persistent & proactive agents. Skill-based continual learning - Skills often fail to live up to their potential because it's not clear when to use them. The agent becomes confused when to invoke which ones and you forget which ones you even had. Add a section to the front matter which tells an agent when to use that skill. Then for every user-message, use Jev to decide which skills should be loaded.
这条是引用着另一条写的：x.com/samzliu/status/2101478492567384065