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The short version

  • Meta has released an iOS update adding native iPad support to its Muse AI agent application.
  • The release includes new connectors for business software such as Canva, GitHub, and QuickBooks.
  • These features allow the agent to autonomously plan marketing strategies and develop product pages.

Meta has updated its Muse artificial intelligence agent with native support for Apple’s iPad, marking a significant expansion of the platform just weeks after its initial debut. The application, which quickly rose to become the top free app in the App Store following its launch nearly a month ago, now offers functionality tailored to the larger screen and multitasking capabilities of tablet devices. This move represents a rapid deployment strategy for Meta’s AI initiatives, contrasting with the company’s historically slower adoption of dedicated tablet interfaces for other major products like Instagram.

The new iPad version is designed to leverage the additional display space and operating system features unique to iPadOS. While the core functionality remains consistent with the iPhone experience, the update aims to provide a more robust environment for users who rely on tablets for extended work sessions. The release notes for this update are notably brief regarding the tablet support, mentioning it in a single line alongside various improvements for the mobile version. This understated announcement belies the strategic importance of expanding the agent’s reach across Meta’s ecosystem of devices.

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Beyond hardware compatibility, the latest update introduces a suite of new integrations with third-party software tools. Users can now connect Muse to a wider array of applications including Canva, Dropbox, Figma, QuickBooks, GitHub, Zoom, Asana, and Klaviyo. Additionally, new connectors have been added for Granola and Notion. These additions significantly broaden the scope of tasks the AI agent can perform, moving beyond simple conversation or information retrieval to active participation in complex workflows involving design, finance, project management, and development.

A key focus of this update is targeting small business owners with autonomous planning capabilities. The updated Muse allows users to input specific business goals, which the agent then uses to independently orchestrate marketing campaigns, draft client pitches, and create new product pages. This shift toward agentic behavior—where the AI takes initiative rather than merely responding to prompts—positions Meta’s tool as a direct competitor to other emerging AI assistants like OpenClaw, ChatGPT’s Dots, and Grok Bot. The ability to manage these tasks autonomously could reduce the administrative burden on entrepreneurs and small teams.

The rapid iteration of Muse reflects a broader strategy by Meta to solidify its position in the competitive landscape of artificial intelligence agents. A Mac version of the tool was released approximately one week after the original mobile launch, expanding its utility for desktop tasks such as file organization. The swift addition of iPad support suggests that Meta is prioritizing comprehensive device coverage to ensure users can access the agent’s capabilities regardless of their preferred hardware. This agility stands in contrast to previous product cycles where dedicated tablet versions took years to materialize.

Meta is also exploring hardware avenues beyond traditional smartphones and computers to host the Muse agent. The company recently announced the Muse Charm, a standalone device resembling a Tamagotchi that runs the AI agent without requiring a smartphone connection. Furthermore, efforts are underway to integrate Muse into Meta’s smart glasses lineup. These developments indicate a vision where the AI assistant is ubiquitous, accessible through various form factors ranging from wearables to dedicated handheld devices, thereby embedding the technology more deeply into daily routines.

The competitive pressure in the AI agent space appears to be driving these rapid releases. With rivals offering similar agentic capabilities, Meta’s expansion of Muse’s connectivity and device support serves as a defensive and offensive maneuver. By enabling connections to critical business tools like QuickBooks for accounting or GitHub for code management, Meta is attempting to make its AI indispensable for professional workflows. The inclusion of project management platforms like Asana and communication tools like Zoom further underscores this intent to become a central hub for productivity.

Looking ahead, the success of these integrations will likely depend on how seamlessly the agent can navigate between different applications while maintaining context and user intent. The ability to autonomously plan marketing or develop product pages requires a high degree of reliability and accuracy, areas where AI agents have historically faced scrutiny. As Meta continues to refine Muse across iOS, iPadOS, macOS, and potential new hardware, the focus will remain on demonstrating tangible value for users who seek to offload complex, multi-step tasks to artificial intelligence.

The brief mention of iPad support in the release notes may also reflect a strategy of incremental rollout, allowing Meta to test performance and user feedback before a more prominent marketing push. Given the app’s immediate popularity as a top free download, there is likely significant demand for enhanced features on larger screens. The combination of new business tool integrations and expanded device compatibility positions Muse as a serious contender in the market for autonomous AI assistants, challenging established players to accelerate their own development cycles.

As the technology matures, questions regarding data privacy and security will become increasingly relevant, particularly given the deep access required by connectors to financial and professional software. Meta’s approach to handling sensitive business information within the Muse ecosystem will be closely watched by enterprise users and small business owners alike. The company’s ability to balance aggressive feature expansion with robust security measures will ultimately determine the long-term viability of its AI agent strategy in a crowded and rapidly evolving field.

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