In this video, I’m tackling a problem I hear about constantly: you’re buried under novels, academic articles, and required reading—and you don’t have hours to “just read more.” I walk through a tool called GOBU and why I think it’s different from the usual book summarizers. The big idea is that GOBU doesn’t only compress a text—it helps you engage with it like a real literature workflow: themes, symbols, arguments, and the parts that actually matter for your assignment or research question. I show you how I’d set up a literature project inside GOBU, upload a full book or paper, and then steer the output by defining what I’m trying to learn (instead of getting a generic summary). From there, I demo how it pulls structured insights, highlights key passages, and connects recurring ideas—then organizes everything into a visual canvas so you can think in systems, not scattered notes. If you’re trying to write better papers faster, or build a repeatable reading-to-writing pipeline, this is exactly the kind of AI productivity system I’m always looking for.