The AI Mise en Place
TL;DR: The model should not have to do the grocery shopping before it cooks dinner. Good AI products prepare the station first (i.e., context, data, tools, and deterministic work) then use the model where judgment matters.
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Your AI Workaround Has an Expiration Date
TL;DR: As models improve, they can often solve problems that previously required explicit rules or product workarounds. For product teams, that raises a practical question: how much should you invest in fixing limitations that better models may soon solve?