Real-world use cases, workflows and prompts for Meta's personal AI agent: 60+ use cases, 12 working principles, 13 prompt templates, and what failed. Muse is built to do things rather than talk about them, and within weeks of its launch the tutorials were promising fully automated businesses and instant income. Some of them contained real, repeatable techniques; many were advertisements dressed as how-tos. This book separates the two. It draws on a close study of 18 independent walkthroughs, about six hours of material, cross-checked against Meta's announcement and press coverage. It explains what Muse is, what it costs and how its safety model works, then goes field by field: personal life and errands, marketing and brand operations, advertising research, video and content, e-commerce and digital products, websites, sales and leads, real estate, publishing, and academic work. It closes with twelve working principles, a prompt library, an honest list of limits and failures, safety and compliance, and a look at the money claims. Every use case is labelled Shown, Partial or Claimed, so you know how much weight it can bear. Facts reflect public information as of late October 2026; Muse changes quickly, so check the app before relying on any price, limit or feature. This is an independent guide, not affiliated with or endorsed by Meta.

• 60+ real use cases across ten fields, each labelled by evidence
• What Muse is, what it costs and how its safety model works
• Twelve working principles that carry across every field
• Thirteen prompt templates you can adapt today
• What failed, what is risky, and which money claims don't hold up