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The article discusses the gap between impressive AI demos and successful production systems, highlighting overlooked challenges like bad data and poor evaluation, and invites input on fundamental misunderstandings in AI.
A developer recounts the painful experience of building and eventually shutting down a production LLM-based service for medical appointment scheduling, highlighting issues with model reliability, structured output validation, and provider uptime.