Should Your AI Product Train Its Own Model? A Decision Framework
Using cost, data sovereignty, and iteration speed to decide between API or self-built
"Should we train our own model?" This is a question every team trying to build an AI product has been asking lately. The answer is almost always "it depends" — but the problem is, most people can't even clearly articulate what it depends on.
We break this decision down into three dimensions: cost structure, data sovereignty, and iteration speed. Let's start with cost, which is the one most often misjudged.
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