AI Personal Assistants: Muse, Grok Bot, Cue Usage & Comparisons

Shopify says merchants are already live in the Muse shopping flow: Muse searches the Shopify Catalog for matching products and checkout happens directly in the app.

Muse is available to US users 18 and older and can act across apps and the open web for email, calendar, forms, bookings and purchases, with each user getting an isolated Linux Secure VM and a separate Sentinel agent approving every outgoing action.

Muse is presented as an agent that plans trips, shops, sends email and fills forms, with data and passwords kept in an isolated secure VM, a separate sentinel reviewing actions, and a free tier of up to 100 million tokens per week.

The author says Muse is a strong fit for heavy Marketplace use because its integrated Meta access means no risk of being banned, unlike Hermes.

Meta has placed Muse under a public bug bounty, offering up to $300K for critical security or prompt-injection flaws, including $250K for a fleetwide Muse compromise and $130K for compromising a single user's agent.

Meta's Alexander Wang described Muse's architecture, including a secure VM and the Sentinel approval layer, plus integrations with Stripe Link and Shopify Pay.

Meta announced muse.ai, a personal AI agent, and published a deep dive on how Muse stays secure, safe and private while remembering user context over time.

A user testing Meta's Muse agent linked their Facebook account and found the agent didn't even know their name, sharing a screenshot.

Alexandr Wang announced a public bug bounty for Muse, paying up to $300,000 for responsibly disclosed security holes or impactful prompt injections.

9to5Mac reports that Meta AI has officially launched the Muse personal agent, alongside a new mobile app for iPhone.

Muse runs on a persistent, isolated Linux virtual machine and takes tasks via its app or WhatsApp, positioning it as a low-barrier automation entry point within Meta's ecosystem.

Grok Bot mistakes are grouped into three types — no clear owner, no clear stop, no clear schedule — each addressed by a layer of files: charter, house_rules and routines.