The AI Mirage

The gap between a working prototype and a production-ready application is massive, just as the gap between a basic data visualization and meaningful analytics is deep. Where is the robust error handling in the code? The security measures protecting user data? The authentication systems? The scalable infrastructure? In analytics, where is the data validation? The statistical rigor? The business context that transforms numbers into actionable insights? These are fundamental requirements for any serious work. Yet they often remain invisible to those who haven't spent years learning why they matter.