I’ve been thinking about the gap between building an AI feature that works well in a demo and actually making it reliable enough for real users. Things like hallucinations, inconsistent outputs, bad external data, latency, edge cases, and users asking completely unexpected questions can make a seemingly simple feature much harder to ship. For people who’ve actually built AI-powered products: what feature looked simple at first but turned out to be surprisingly difficult in production? What was the biggest challenge, and how did you eventually handle it? submitted by /u/HyenaCheap6948
Originally posted by u/HyenaCheap6948 on r/ArtificialInteligence
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