Review prompts amplify product sentiment — good and bad. This article turns that observation into a small implementation model you can test, measure, and keep boring when the app grows. The problem in one sentence Timing, frequency caps, and happy-path triggers. The useful question is not whether the API or pattern looks elegant in isolation. It is where state lives, which boundary owns failure, and how a user recovers when the happy path disappears. A practical model Trigger after a success moment, never on first launch. Start with one explicit owner for the behavior. Keep widgets responsible for rendering and user intent; keep IO, persistence, permissions, and retries behind a small interface. That gives you a seam for a fake in tests and a place to record the facts that matter in production. For a Flutter app, the boundary usually looks like this: The widget emits an intent such as load, submit, refresh, or retry. A controller or use case validates the intent and calls the...