AI-103: Developing AI Apps and Agents on Azure

A completeness check-and-retry step implemented in the application's own request/response pipeline — evaluating the draft response for required content and re-invoking generation before the response is handed back to the caller — enforces completeness at the code layer without changing the model or the retrieval design. Decreasing max_tokens or deploying a smaller model both reduce the model's ability to produce complete output, and switching to RAG changes how content is retrieved rather than adding an in-code completeness check prior to returning the response.