Most AI projects look impressive… right until you try to use them in production. A flashy demo? Easy. A scalable, structured, production-ready solution? That’s a different game. Over the past year, we’ve seen teams build incredible AI prototypes in days. But when it comes to: • Maintaining consistent design systems • Avoiding hardcoded chaos • Managing dependencies properly • Creating reusable components • Refactoring for scale • Enabling multiple teams to collaborate Things start to fall...