Every AI Feature Needs a Second Writer
Shipping a custom model is only safe if a boring commodity model can take over on the next request, with no deploy and no user-visible seam.
Technical posts, product decisions, and honest observations, written while building, not after.
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What AI features look like when regular people use them in real life.
Shipping a custom model is only safe if a boring commodity model can take over on the next request, with no deploy and no user-visible seam.
Every fine-tuning tutorial starts with a clean dataset. Mine started with 400 Spanish quotes under loose headers in a .txt file, and getting from one to the other was most of the work.
You fine-tune the voice, not the perception. Perception is a commodity you rent; voice is the thing you cannot buy.
The expensive failures were not training failures. They were infrastructure failures that produced plausible output instead of an error.