<ul data-eligibleForWebStory="false"><li>A money app launched an 'AI Spending Coach' with much hype but saw poor user engagement within weeks.</li><li>The article discusses common myths about AI implementation and emphasizes the importance of solving real problems.</li><li>Guidelines for building AI features include starting pragmatic, focusing on user value, and ensuring sustainable costs at scale.</li><li>The key is to design AI features that provide immediate value, prioritize user experience, and focus on outcomes rather than technology hype.</li></ul>

The AI Hype Trap: Why Shiny New Features Sometimes Flop — and How to Build for Real People

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