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Let the system act on its own inside clear bounds, escalate the ambiguous cases, and learn from how the human resolved them
Measure paid channel contribution honestly when tracking is partial, by separating what you observed from what you modeled
Let a model propose the next action when it can, and serve a known-good rule when it cannot, so the experience never depends on the model being up
Cross-platform suppression with consent propagation