Your Model Is Not the Product
The model is perhaps a tenth of what you are shipping. The other nine tenths decide whether anyone keeps using it.
Placeholder article. Teams celebrate the day the model hits its target metric, and then discover that the metric was the easy part.
What actually ships
The product is the thing around the model: how predictions reach a user, what happens when the model is unsure, how somebody overrides it, and how you find out next month that it has quietly degraded.
None of that is in the notebook where the metric was hit.
A useful test
Ask what happens when the model is wrong. If the answer is a shrug, the system is not finished, whatever the validation score says.
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