AI Prototypes Are Magic, but Products Are Hard: The Variance Gap
brandon_galang · x · 2026-08-29
The author highlights a paradox in AI product development: prototypes combining frontier AI, agents, and connected data can solve problems with comical effectiveness.
However, the actual end-user product must handle a significant amount of input variance when generating outputs on the fly. This explains why the user experience doesn't feel drastically different despite models becoming smarter: we never solve all problems, just the ones in reach before moving on to bigger challenges.
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