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What is Muse for Small Business?

Muse for Small Business is an AI agent offering from Meta that expands Muse with business-oriented skills and integrations for entrepreneurs and small business operators. Muse is designed to do more than answer questions by independently working on assigned tasks, managing projects, and turning broader objectives into concrete actions. A business owner can provide a goal and allow Muse to continue working in the background while the owner focuses on customers, employees, or other responsibilities. The agent can prepare client pitches, create product pages, draft replies, develop content plans, create advertisements, and return with progress updates or decisions requiring human input. Muse can also help businesses plan for seasonal changes, improve customer engagement, manage inventory, and support cash-flow-related workflows. It learns from conversations and business context, identifies what matters to the user, and proactively returns with ideas and suggested actions related to established goals. Muse integrates with tools including Asana, Box, Canva, Dropbox, Figma, Granola, HighLevel, Intuit QuickBooks, Klaviyo, Lovable, Notion, Shopify, Slack, Stripe, and Zoom. It can additionally connect with Facebook, Instagram, and Meta ads, giving the agent context about a company's brand, audience, content, and advertising activities. Users remain responsible for consequential actions and can require approval before Muse performs activities such as sending emails or completing purchases. An audit trail provides visibility into completed and planned agent actions, while secure credential storage is designed to prevent Muse from directly seeing saved login information. For supported purchases, Muse can generate a one-time card number at checkout, and Meta states that conversations with the agent are not shared with its advertising systems.

What is Muse Ember?

Muse Ember is an efficient multimodal artificial intelligence model developed by Meta Superintelligence Labs for autonomous agent execution, coding assistance, complex reasoning, and large-scale business automation. The model is designed to handle the frequent, structured operations performed by AI agents, including tool calls, information retrieval, workflow routing, document extraction, and software development subtasks. It supports a context window of one million tokens and can generate up to 512,000 output tokens, allowing applications to process large repositories, extensive documents, and complex task histories. Muse Ember natively processes text, images, audio, video, and PDF content, enabling multimodal analysis without requiring separate models for each supported input type. Its visual understanding capabilities allow agents to interpret screenshots, charts, scanned documents, and interface elements while supporting computer-based automation workflows. Software engineering capabilities include reading source files, running tests, analyzing repositories, implementing targeted fixes, and completing programming tasks within autonomous coding environments. The model also supports enterprise automation workflows that involve retrieving information, evaluating records, executing tools in sequence, and updating data across connected business applications. Meta trained Muse Ember using Muse Wonder Full, creating a specialized model intended to combine strong reasoning capabilities with lower inference costs for frequently repeated tasks. Published evaluation results include 37.8% on AutomationBench-AA, 61.6% on Agents' Last Exam, 40.9% on Terminal-Bench 4.0, and 80.6% on PerceptionBench with tools. Muse Ember can be combined with larger models such as Muse Wonder and Muse Spark, allowing advanced models to handle planning and complex decisions while Ember performs high-volume execution tasks.

Media

Media

Integrations Supported

Asana
Box
Canva
GoHighLevel
Google Calendar
Google Docs
Google Drive
Granola
Instagram
Klaviyo
Lovable
Muse Spark
Notion
Postedly
QuickBooks Online
Ticketmaster
WhatsApp
Zoom

Integrations Supported

Google Cloud Platform
Meta AI

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$0.10 per 1M tokens (input)
$0.10 per million input tokens and $0.50 per million output tokens

Supported Platforms

SaaS
Android
iPhone
iPad
Mac

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

muse.ai/business

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

research.meta.ai/blog/muse-ember

Categories and Features

AI Agents

Not specified

AI Assistants

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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