Filter workflows

Practical workflows for choosing, installing, checking, and maintaining a loot filter without losing track of why a change was made. These articles focus on repeatable decisions: preserve a working copy, identify the layer that failed, test representative items, and record unresolved questions honestly. You will find approaches to strictness reviews, setup troubleshooting, and regression testing that work with original starter data rather than live economy feeds. The goal is not to prescribe one perfect file for every character. It is to help you build a small, understandable process that fits your current goals and gives you a clear recovery path when an experiment does not behave as expected.