This is a classic case of using the right tool for the job, but not quite knowing how to finish the setup. The user wants to copy rows from one workbook to another, but only when a specific value appears in column B. They know a macro is the answer, but they don't want to run it manually a hundred times. That frustration is completely understandable, and it points to a deeper truth about how most people approach automation.
The real issue here isn't the copying. It's the assumption that a macro has to be triggered by a button press. The user has already done the hard part: they identified the condition and the action. What they need is a loop. A simple `For Each` loop in VBA can check every row in the source sheet, evaluate column B, and copy the matching rows to the destination, all in a single run. No repeated clicks. No manual oversight. Just one clean execution that handles every row at once. That shift, from manual trigger to automated iteration, is what separates a workaround from a real solution.
This is where AI-native thinking changes the game. A traditional macro is static. You write it, you run it, and if your criteria change, you edit the code. But what if the criteria could be set in a cell? What if the macro could read a list of acceptable values from a range, or even from a dropdown? Then the same script becomes a flexible tool that adapts to new conditions without rewriting. That is the direction spreadsheet tools should be moving, toward logic that is both powerful and accessible, where the user focuses on *what* to match, not *how* to code the match.
For anyone stuck in this exact situation, the path forward is straightforward. Open the VBA editor, write a `For Each` loop that checks `If cell.Value = "YourCriteria" Then`, and use `Range.Copy Destination:=` to move the entire row to the target sheet. If your criteria might change, store it in a named cell and reference that instead. Run the macro once. Done. No button mashing, no repetitive work. The spreadsheet does the heavy lifting, and you get back to the work that actually matters.