I’m trying to frame a product decision where an AI-assisted workflow clearly saves time today, but it also introduces hidden process complexity: harder debugging, weaker user understanding, and more edge-case support work. Conceptually, how do strong teams decide whether to ship automation now versus keeping a more manual but legible flow until the domain is better understood? I’m looking for decision frameworks or tradeoff lenses, not just “measure user value.”
WaffleFries 
