TLDR Tech / Product
What “done” means when you're shipping AI features
“Done” for AI features can't mean “all tests pass” or “works as designed,” because AI behavior varies by user, context, and model updates. Instead, teams should redefine done as calibration: acceptance criteria expressed as output distributions, pre-built failure triage ownership, and a rehearsed rollback triggered by clear monitoring signals.
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