Why AI Projects Fail After the Demo Stage
A few years ago, building an AI demo felt impressive. Today, almost anyone can connect an LLM to an interface and create something that looks smart in a weekend. But what I’m seeing now is that the real challenge starts after the demo works. A lot of companies jump into AI expecting instant transformation. They build a chatbot, test an AI assistant internally, or experiment with automation tools — and for a moment it feels like everything is moving fast. Then reality kicks in. The AI gives in...
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