Summary
Peter Yang shares ten real use cases for Muse, Meta’s personal AI agent, including how it saved him over $800 a year by logging into his AT&T account, identifying billing discounts, and handling the enrollment process — even negotiating directly with customer support. He walks through the full Muse desktop experience, from customizing an animated avatar to connecting the agent to messaging apps like iMessage, Instagram, and Messenger to surface important unread messages.
Other demonstrated use cases include building a personalized, ad-free morning news feed focused on AI updates, setting up a habit-tracking system with daily check-ins and streak charts to break a phone-in-bedroom habit, and using Muse’s goals tab to auto-generate a to-do list based on prior conversations, covering everything from booking flights to negotiating additional bills like Tesla insurance and Comcast cable.
The video is aimed at viewers curious about practical, everyday applications of AI agents beyond chatbots — particularly how Muse’s native integration with Meta’s app ecosystem and ability to take real actions, like entering payment details or calling customer support, differentiates it from typical assistant tools. It offers a grounded look at what a consumer-facing agentic assistant can realistically do today, with specific dollar figures and step-by-step chat examples throughout.
📺 Source: Peter Yang · Published September 18, 2026
🏷️ Format: Tutorial Demo
