I Let Meta Muse Run My Day for a Week: A Personal AI Agent Reality Check
Meta's new personal AI agent Muse promises to shop, email, and plan your day. I handed over control for seven days to see if it lives up to the hype.
I Let Meta Muse Run My Day for a Week: A Personal AI Agent Reality Check
When Meta launched Muse—billing it as "the world's first personal AI agent built for everyone"—I decided to put it to the ultimate test. For seven days, I let Muse handle my shopping, email drafting, calendar scheduling, and daily planning. Here is what actually happened.
Day 1-2: Setup and First Impressions
Getting started is surprisingly smooth. Muse integrates with Gmail, Google Calendar, Amazon, and a growing list of services. The onboarding emphasizes privacy—Meta repeatedly states that permission decisions are intentionally placed outside the model itself, meaning Muse cannot autonomously spend your money or send emails without explicit human approval at each step.
My first task: plan a dinner party for six. Muse scanned my calendar, found a free evening, drafted invitation emails, suggested a menu based on dietary restrictions I had previously noted, and created a shopping list. Total time saved: about 45 minutes. Total time supervising and correcting Muse: about 15 minutes. Net win.
Day 3-4: The Shopping Experiment
I tasked Muse with buying groceries for the week within a $100 budget. It compared prices across Instacart and Amazon Fresh, identified sales, and presented a cart for my approval. When I approved, it checked out—after asking me to confirm the payment method and delivery window. The groceries arrived on time. The total was $97.43. The bananas were slightly overripe, but that is on the delivery service, not Muse.
Where it stumbled: Muse could not handle "buy the same coffee I always get" because it does not yet have deep purchase history integration across platforms. I had to specify the brand and size manually.
Day 5-6: Email and Scheduling
Muse drafted responses to 23 emails over two days. About 70% were good enough to send with minor edits. The remaining 30% required significant rewriting—mostly emails requiring emotional nuance or context that Muse lacked. One particularly awkward draft tried to decline a wedding invitation with the warmth of a tax form.
Calendar scheduling worked better. Muse found mutually available slots across three time zones for a team meeting, sent invites, and even booked a conference room. When a participant requested a reschedule, Muse handled the back-and-forth and found a new slot without my intervention.
Day 7: The Privacy Reckoning
Meta claims privacy is "built into" Muse. During my week, every sensitive action required explicit approval. But the sheer volume of data Muse accessed—emails, purchase history, calendar, location—was sobering. Meta's business model is advertising. The company promises Muse data will not be used for ad targeting, but trust on this point requires a leap of faith.
The Verdict
Muse is genuinely useful today, not just a demo. For routine tasks—scheduling, shopping lists, straightforward email drafting—it saves real time. But it is not yet the autonomous agent Meta's marketing suggests. Every significant action still requires human oversight. The "personal AI" vision remains partially realized.
Would I keep using it? Yes, for scheduling and shopping. Would I trust it with sensitive communications or major purchases? Not yet. Muse is a capable assistant, not a replacement for judgment. The gap between those two concepts is where the real work remains.