Meta's new personal AI assistant Muse is genuinely good—the first Meta product the author has enjoyed using in years. What sets it apart isn't the underlying models, which are solid but unremarkable compared to competitors. It's the actual product design. The interface includes a persistent avatar (the author named theirs Moneypenny), which creates a more natural feeling of interaction than a standard chatbot. More importantly, Muse solves the "blank page" problem that kills most AI assistants by offering an "Ideas" tab that suggests tasks based on your behavior, connected services, and chat history. This sounds simple but requires Meta to constantly update recommendations based on what it learns about you. The real strength lies in integrations. Muse connects directly to Meta's own services—Facebook, Instagram, Threads, Messenger, WhatsApp—plus Apple's ecosystem (Calendar, Contacts, Reminders, Health, Home) and Google services (Gmail, Calendar, Docs, Drive). This gives the assistant actual context about your life from day one, avoiding the cold-start problem that plagues competitors like OpenClaw. The author notes that OpenClaw's approach—requiring people to buy Mac minis and run local servers—never had a shot with regular users. Meta's advantage here is brutal: they already have billions of data points about users, and they can leverage their existing infrastructure. On security, the author was skeptical but came around after learning how Meta architected the system. Passwords stay sequestered from Meta's view, and your data lives in a sandboxed cloud instance. Yes, you're opted in to help train the service by default, but you can opt out. The author trusts this more than a startup, partly because Meta has the scale and expertise to actually secure it properly. The pricing model remains somewhat convoluted, but the free tier is generous—Meta can afford to be generous because they're printing money from ads and need to diversify away from feed-based advertising anyway.