Eric Siu walks through an AI workflow using Jev and Grokbot to sort large lead lists and SEO content. The system classifies items with confidence scores across multiple levels (hold, suppress, route, clear, recommend), keeps humans in the loop for judgment calls, and lets agents execute actions at scale.
If you combine Jev with Grokbot, you've got an AI superpower. You've got AI advantages that other people just don't have right now. The way you want to think about Jev is it is a classifier, right? Let's say you have a 60,000 list of leads. You maybe only have 2,000 that are ICP fit, but you don't have to sift through all of them, right? From an AEO SEO standpoint, you want to make sure that all the content you're pumping out is not related to content that you've already created. Jev can classify it very quickly. For pennies on the dollar. So the way this workflow works is that you know then you have type safe Jeff. This is your shared layer over here, and then you can basically implement. Is it like a multiple choice? Like you know A B C D D F. Is it a yes or no situation? Right. It can be a confidence score type of thing. You can have different levels of classification. You can have a lot of layers of classification, and then from there you can decide if something is a hold, a suppress, a route, a clear recommend, and then other agents can take it over from there. Right. Once you have it classified, then then you have a human in the loop here. Kind of jump in and they add in their judgment layer and then this can continue to be better over time. And then you hand it back over to the bot and the bot executes. And this is just the future of work.
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