A recurring problem with Gemini is that when asked to implement functions, it often generates mock functions, placeholders, or demo code instead of real, production-ready logic. This makes the output more suitable for prototypes and proofs of concept, but useless in actual development or production environments. To solve this, Gemini should follow a strict mode-based rule. In prototype mode, it may generate mock data or placeholder functions for quick demonstrations. However, in development or production mode, it must always deliver fully functional, non-mock implementations. This ensures projects remain practical, reliable, and ready for real-world deployment.