Something I don’t see talked about enough: How much time AI builders spend repeating setup work. Every project: - Pull data - Clean it - Structure it - Validate outputs - Fix edge cases - Re-run when something changes
None of this is the interesting part, but skipping it causes problems later. I’m starting to think the real productivity gain in AI isn’t better models, it’s fewer repeated steps. Curious how others feel: What’s the one setup task you wish you never had to do again?
[link] [comments]