Muse AI

Muse AI is an AI product launched by Meta that focuses on role-playing and personalized interaction

Muse is positioned as a personal AI agent emphasizing personalization, with its core selling point being deep understanding of individual users and long-term memory capability

Each iteration of Muse AI takes only a few seconds, and users can keep optimizing until the prototype matches their vision.

Muse AI generates application interfaces and logic from natural language descriptions, and outputs clickable, interactive working prototypes in the form of artifacts.

The prototypes generated by Muse AI run in its own computing environment, and users can open and experience them directly.

What Muse AI generates is a working prototype or MVP, suitable for quickly validating ideas; but building a production-grade application for real users that supports payments and large-scale deployment still requires professional developers to get involved.

The working prototypes generated by Muse AI are naturally suited to play the role of an MVP, and entrepreneurs can demonstrate the main flow within minutes for meeting users or investors.

The first step in building a prototype with Muse AI is to describe in simple, specific natural language what users can do and the core pages needed.

Providing Muse with a reference template and asking it to generate a similar style can significantly improve the output quality and layout neatness of PowerPoint presentations.

The "cloud computer" model adopted by Muse is commonly referred to in the industry as cloud desktop or Virtual Desktop Infrastructure (VDI).

The main difference between Muse and common domestic agent products is that agents rely more on API calls, while Muse operates directly at the interface layer, offering a wider range of compatibility but with higher requirements for network stability and authorization management.

The UP host's hands-on testing found that Muse's connection experience with domestic applications (such as Feishu's visual builder) is not as good as domestic native agents, and connecting to foreign apps is even more troublesome.

Muse's automation features can be set to automatically scrape real-time updated website content daily and generate PowerPoint presentations, which are then pushed to the user at a specified time.

Muse has "Help improve our AI models" enabled by default in its data controls, allowing the platform to use user interaction information for training.

Muse's "Connectors" are the core components of its automation system, referring to the integration interfaces between Muse and external applications or services, which can operate browsers on behalf of users, call third-party app APIs, fill out forms, and even trigger payment processes.

It is recommended to set Muse's connector permissions to "Always Ask" to prevent it from performing high-risk operations such as in-app payments without the user's knowledge.

The more explicit the instructions given to Muse (such as specifying the number of topics, categorization requirements, and adding constraints like no fabrication), the closer the output will be to expectations.

Constraining AI output with specific numbers (number of pages, word count, number of key points) is far more effective than vague descriptions.

Muse is restrained in terms of content accuracy and will proactively label information it cannot verify or source as "unable to confirm the source."

The precision of instruction wording directly affects the precision of Muse's execution: saying "trim to 100 words" results in approximately 90 words, while saying "trim to exactly 100 words" produces a strict output of 100 words.