Your question is Balancing Experimentation and Stability. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you balance the need for rapid experimentation with the requirements of stable, production-grade code? Please use a specific past example from an AI or machine learning project. Explain how you separated exploratory work from production paths, set quality gates, handled disagreement or delivery pressure, and measured the outcome.
