AI developers struggle to understand whether they're building for users or optimizing for model behavior

Developers using AI coding assistants like Claude struggle to distinguish between features that genuinely solve user problems versus features that are optimized to make the AI model appear smarter or more capable. This creates confusion about product direction, wastes development resources on model-pleasing features rather than user-solving features, and results in products that look impressive in demos but fail to deliver real value.