ChatGPT advertising and an AI application's architecture are separate questions
A change to advertising in a consumer interface does not, on its own, describe the behaviour of an API endpoint or a local image generator. Identify the product surface involved and map your application's dependencies before deciding whether a public announcement changes its architecture.
Name the product surface
Record whether the application uses a consumer chat interface, a business workspace, a developer endpoint or a third-party integration. Keep account and region details where they affect the documented feature. OpenAI's advertising help page is the appropriate starting point for its advertising behaviour, not a general specification for every AI service.
Avoid inferring implementation details from a screenshot. An advertisement, a model answer and an external tool result can be different elements of an interface. Use the provider's explanation and a dated observation rather than assuming they share the same execution path.
Map the actual dependencies
List the services contacted by the application and the data sent to each. For a ComfyUI project, separate local model execution from any partner or custom node that calls a remote endpoint. A local browser interface does not establish that every part of the graph runs locally.
Keep the endpoint and integration versions with the workflow. If an external dependency changes, identify the affected stage rather than rebuilding unrelated local components. The dependency map should make the proposed change's relevance clear.
Review cost and data independently
Use the pricing documentation for the actual developer service when estimating its charges. Do not substitute a consumer subscription price or an advertising headline. Record the pricing date, billed units and any additional tools or storage used by the application.
Use endpoint-specific data documentation for retention and handling questions. A statement about one product's training defaults does not answer every logging or storage question. Keep unknowns explicit and use non-sensitive inputs until the route has been reviewed.
Change only the affected boundary
If a documented product change affects a real requirement, write a small acceptance test for that requirement and compare available routes. Preserve the existing implementation and define a rollback condition. Do not claim that moving a component automatically improves accuracy, privacy or cost without measuring the relevant outcome.
This page now separates product policy from runtime architecture instead of using advertising as evidence for unrelated VRAM claims. The aim is a traceable response to a verified dependency change, not a universal recommendation to replace every hosted component with a local model.