Dev Tools · 1h ago
Why AI Products Fail: Lessons in Building for Trust and Consistency
A developer argues that building an AI model is easier than building a product people trust. Users forgive occasional mistakes but not inconsistency, making reliability an engineering goal. The piece advises against chasing every new model and emphasizes supporting human decisions over replacement.
Meridian48 take
The article's focus on product quality over model novelty is a needed corrective, but it understates how rapidly model improvements can directly impact user trust and consistency.
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