<ul data-eligibleForWebStory="true"><li>AI, when misused, burdens a product instead of elevating it.</li><li>For AI integration to be successful, it needs to be a deliberate, layered design approach.</li><li>The 'Architecture of Intelligence' consists of four key stages: Data Capture, Feature Engineering, ML Models, Dashboard & Nudges.</li><li>Design principles for AI use include observing before asking, continuous adaptation, building for explainability, and respecting human agency.</li><li>Key questions to ask include whether data collection is meaningful, if models are learning from users, if insights are actionable, and if product design aligns with AI capabilities.</li><li>AI integration should serve the same goal as the product and speak the same language across all its parts.</li><li>AI doesn't fix a broken product but enhances a well-thought-out one.</li></ul>

Why AI Is Gonna Kill Your Product (And How to Prevent It)

Discover more