As someone who spends a lot of time with 3D printing, I’m used to learning from failed prints and iterating. I’m curious if that same mindset of small, persistent adjustments could be applied to something like tracking personal carbon emissions or learning the deeper details of music history. Has anyone tried taking that approach?