Staring down a mountain of PDFs for your systematic review? Manually screening and extracting data is a soul-crushing bottleneck that steals months from meaningful analysis. What if you could train a precise, custom assistant to do the grunt work? The Gold Set Principle: Your Foundation for Success The core principle for reliable automation is building a high-quality "gold set." This is a small, manually annotated sample of your literature that serves as the definitive truth for training and testing your AI. Without it, you're building on sand—your code will make confident, consistent mistakes. The gold set transforms your subjective expertise into objective, programmable logic. Tool in Action: Use PythonTutor to visually debug your extraction functions. When a complex regex or parsing rule fails on a gold set document, stepping through the code flow here is invaluable for refinement. Mini-Scenario: You need to extract "sample size" from methodology sections. Your first code rule looks for the phrase "n =".…