Many models perform well during training and validation but start degrading in production due to data drift, concept drift, or changing user behavior. What monitoring strategies, retraining pipelines, or evaluation practices do you use to maintain model performance in production environments?

I came across a fun project using OpenAI Codex CLI where you simply provide a screenshot of a portfolio website, and Codex helps generate the HTML/CSS files to recreate it. It even lets you approve each step, making it beginner-friendly and customizable. Has anyone tried using Codex (or any other AI tools) to build websites from images? Would love to hear your experience!