Jev as an agent notification center and on-demand skill loader
The author describes two non-cost-saving uses for Jev: filtering real-time events like Slack messages and webhooks so only important ones reach the agent, and deciding which skills to load for each user message.
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.
This post quotes another post: x.com/samzliu/status/2101478492567384065