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An experienced developer reflects on the gap between AI agent demos and real-world performance, highlighting issues like poor documentation, naive permission expectations, and the misconception that probabilistic software becomes deterministic in production.
AI agents often fail in production because they lack access to real business data, internal docs, and live customer context. To succeed, they need actual content, live data integration, clear handoffs, and human oversight.