What needs to happen?
A stack is a set of tradeoffs, not a list of impressive logos. Before discussing frameworks, describe the user journey and the business process behind it. Who will maintain the content? Which systems already hold the data? What changes often? Which mistakes would be expensive? Those answers are architecture inputs.
Separate the layers.
The public interface, content management, business logic and data storage solve different problems. They may live in one platform or several connected services. A small editorial site can benefit from a simple arrangement. A complex portal may need clearer boundaries. More layers are useful only when their purpose justifies their cost.
Keep operations in the picture.
Consider deployment, backups, access, updates and ownership before launch. The team that operates a system should understand how to recover it and how to change it. A technically elegant solution becomes fragile when its routine maintenance depends on knowledge that no one has documented.
Treat AI as a system component.
A language model can interpret or generate information, but it should not become the authority for money, permissions or critical state changes. Keep those decisions in explicit business logic. Give AI a bounded job, the relevant context and a measurable definition of success.
Leave room to evolve.
Choose a practical starting point with clear boundaries. Preserve data in useful formats and document the reason for important choices. The objective is not to predict every future requirement. It is to avoid making a future change unnecessarily difficult. The right stack is the one the brief can defend.