Start with a simple input, model, and output path, then add retrieval or a custom component when the basic response is dependable. Give each component a clear purpose and retain sample inputs for regression checks. Treat exported flows as application configurations that need versioning and credential review.
This is best suited to developers prototyping AI application flows. Before committing a larger project, account for these trade-offs: custom components require coding knowledge; deployment and inference need resources.