7 Steps to Build an AI App Like Meta's Muse Using One Prompt

Video: I Built Meta's Muse AI in One Prompt

Oct 7, 2026 · based on the channel Ansh Nanda

Building an AI app like Meta's Muse is now achievable with just one prompt thanks to powerful tools like Vibecode, Composio, OpenClaw, and Orgo. Ansh Nanda demonstrated rebuilding Meta's top-ranked Muse AI app on the App Store by connecting it to Gmail, Google Calendar, and DoorDash, all while maintaining the same five-tab interface and cloud computing capabilities. You can explore Vibecode for building your version at Vibecode official site with bonus.

Understanding What Makes an AI App Like Meta's Muse

Meta's Muse AI app is structured around three core components: the brain, the hands, and the body. The "brain" handles smart reasoning and natural language understanding, powered by AI models like OpenClaw combined with Claude Opus 5.5. The "hands" interface with external APIs and services through Composio.dev, enabling actions such as reading emails or placing orders. The "body" consists of a cloud computer, in this case running on Orgo, that hosts and processes the app's backend tasks.

This modular design enables Muse to integrate deeply with user data and services, providing a seamless AI assistant experience.

Step 1 Building Your AI Agent with One Prompt on Vibecode

Vibecode is a no-code/low-code platform that allows developers and non-developers to build AI applications quickly. Ansh Nanda rebuilt Meta's Muse clone using a single prompt on Vibecode, costing only $14. This prompt encapsulates instructions for the AI's brain, hands, and body, orchestrating complex workflows with minimal code.

The key is crafting a comprehensive prompt that defines:

1. The AI's cognitive capabilities (brain)
2. How it interacts with APIs and user data (hands)
3. The deployment environment and resource management (body)

Vibecode simplifies this by providing a visual interface and integration points, making it easy to connect to Gmail, Google Calendar, DoorDash, and other services.

Step 2 Connecting to Gmail and Google Calendar

An essential feature of Muse AI is reading and managing emails and schedules. Using Composio.dev, the AI hands interact with Gmail to fetch emails and with Google Calendar to retrieve events and reminders.

This connection enables the AI to:

• Summarize unread emails
• Provide morning briefings based on calendar events
• Schedule new appointments or reminders

Integrating these services requires OAuth authentication and API handling, which Composio abstracts, letting the AI seamlessly manage user data.

Step 3 Automating Real-World Actions Like DoorDash Ordering

Beyond managing information, Muse AI automates tasks such as ordering food through DoorDash. The hands component sends commands to DoorDash’s API based on user prompts, demonstrating how AI apps can extend assistance into everyday life.

This capability shows the potential of AI apps to act autonomously on behalf of users, bridging digital and physical actions.

Step 4 Using OpenClaw and Claude Opus 5.5 for the AI Brain

The brain of the Muse clone relies on OpenClaw, an open-source framework for AI agents, combined with Claude Opus 5.5, a powerful language model. This combination allows the AI to understand complex queries, generate responses, and plan tasks intelligently.

OpenClaw manages the AI logic and decision-making, while Claude Opus 5.5 provides the natural language understanding and generation needed for user interactions.

Step 5 Deploying on Orgo Cloud Computer for Scalability

Orgo.ai provides the cloud computing environment—the body—that hosts the AI app. This cloud computer handles processing, storage, and scaling, ensuring the AI app operates smoothly and can handle multiple users simultaneously.

Deploying on Orgo simplifies backend management and provides robust infrastructure for AI apps.

Step 6 Comparing the Clone to Meta's Official Muse App

Ansh Nanda’s clone matches Meta's Muse in features and interface, including the five main tabs and cloud capabilities. The clone demonstrated capabilities like reading Gmail, ordering DoorDash, and managing calendar events, similar to the original app.

This shows that with current AI tools and platforms, building sophisticated AI apps is accessible and affordable.

Step 7 Building Niche AI Agents with Custom Prompts

The approach used to build Muse can be adapted to create AI agents specialized for different niches. By modifying the prompt and connected services, developers can create AI assistants for industries like healthcare, education, finance, or personal productivity.

Vibecode and similar platforms empower creators to tailor AI apps rapidly without deep coding expertise.

Useful Links

• Vibecode no-code AI app builder
• Composio API integration
• Orgo cloud computer
• OpenClaw AI framework
• Ansh Nanda newsletter and prompt

Conclusion

Building an AI app like Meta’s Muse is now within reach thanks to innovative platforms such as Vibecode, Composio, OpenClaw, and Orgo. With just one well-crafted prompt and minimal cost, developers can create AI agents that integrate with email, calendar, and real-world services like DoorDash. This unlocks vast possibilities for personalized AI assistants tailored to various user needs. For detailed guidance and the original prompt, visit Vibecode’s site and follow the insightful breakdown by Ansh Nanda, the creator behind this impressive rebuild.

Explore Vibecode to start building your AI app today.

Source: I Built Meta's Muse AI in One Prompt · Markdown version