AI is getting good at producing the right answer fast, which is nice until you need to know why it changed. In a few tools I’ve used, the output looked clean but the trail behind it was thin.
Have you run into cases where AI made the work faster but the history, rationale, or provenance got harder to trust?
I’ve seen this in game dev docs/quests: someone asks an AI to “tighten the narrative, ” and suddenly you’ve got cleaner dialogue but no clue which story beats got cut or why.
“clean output, thin trail” is basically my daily fear in design systems land. I’ve had an AI refactor a token set and the diff looked immaculate, but when someone asked “why did spacing-3 become 12px and not 10px? ” there was zero rationale—just vibes and a bunch of plausible-sounding sentences. The speed is real, but it quietly deletes the little human breadcrumbs (old decisions, tradeoffs, “we did this because iOS does X”) that make a system trustworthy six months later. I’ve started treating AI edits like a junior contributor: fine to do the mechanical rewrite, but I won’t merge it unless the PR description has actual reasons and references, not just “improved consistency. ”
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