The short answer
Muse’s design article says proactive messages should be useful enough to justify interruption and that users can ask for more or less proactivity. This provides a starting point for discussing notification expectations, not a guaranteed menu label or delivery schedule.
Platform context comes from Muse’s official information, checked on 31 October 2026. The exercise below is an illustrative workflow, not a claim that we tested this task on a paid Muse account.
A concrete starting request
For a fictional research task, say: “Summarize routine progress when I return. Interrupt me only for a missing decision that blocks the task. Do not send repeated reminders about the same unresolved question.” Define what counts as blocking for that task.
How to judge the result
Review the next few notifications for novelty, relevance and a clear action. A message should explain what changed and what you need to decide. If you mute notifications through your device, separately check whether urgent requests remain visible in the app.
Limits worth resolving first
Notification delivery can depend on device settings and connected channels. Do not rely on an AI message as the sole alarm for payments, travel departures or legal deadlines. Keep a conventional reminder for critical commitments.
A practical review record
Keep four notes for the trial: the original request, the inputs you authorized, the result you checked and any unresolved issue. Record whether work stayed in the conversation or affected another service. This makes a later correction easier and prevents a plausible response from being mistaken for a completed task.
Access and the next step
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Read the Muse guide collection, related guide: Muse AI approval controls: review before sending or spending or browse AI tools before deciding whether this access fits your task.