In this video, I show you how to write a proper systematic review (or meta-analysis) using Abacus AI Deep Agent—PRISMA-compliant, with real citations and a transparent methodology. A lot of people say they “did a systematic review with AI,” but what they actually produced is just a literature summary. That’s exactly how you end up with low grades, desk rejection, or reviewers calling out missing methods. So I walk you step-by-step through what a systematic review really is, and how to use AI responsibly without faking the process. I cover the full workflow: generating a feasible topic, building a solid review question using PICO, and writing an introduction that’s actually supported by real academic sources. Then I break down the Methods section the way journals expect it—search strategy, screening, data extraction, and risk of bias—so your paper is reproducible. Finally, I show you how to structure Results with PRISMA flow diagrams and evidence tables, and how to write a critical Discussion with limitations and implications. This is not a shortcut video. My goal is to help you do systematic review research correctly while using Abacus AI Deep Agent for what it’s good at: deep research, tracking long workflows, generating structured outputs, and keeping your citations tied to real sources—without hallucinations.