Meta lets users request early access to new Muse AI features

Meta is now letting people ask to join early access testing for new Muse features, following a broader product push unveiled at its Connect 2026 conference this week. The move gives Meta a way to recruit enthusiastic users before a wider rollout, while turning Muse into a more visible part of the company’s consumer AI strategy.

The request flow is unusual: instead of filling out a traditional sign-up form, users can send a prompt to Muse itself asking to notify the team that they want in. That approach highlights Meta’s effort to make the app feel conversational while also gathering a first wave of feedback from AI-savvy testers.

What Meta announced this week

Meta used Connect 2026 to preview a set of additions designed to broaden Muse beyond a basic AI app. Among the features teased were a digital avatar that users will be able to video chat with, expanded shopping integrations, more connectors to outside services, and a larger role for the Muse Mac app.

The company also said Muse is headed to its AI glasses lineup, where users will be able to speak a wake word and then issue commands directly to the assistant. That shift suggests Meta wants Muse to function across devices, not just on a phone or desktop.

How does the early access request work?

Meta says users can ask Muse to put them on the list for early access by sending a specific prompt through the app. The company shared a link on X that inserts the request into Muse, and users can also copy and paste the text manually if they prefer not to click through.

The prompt asks Muse to pass along the user’s interest in joining the early access program. In effect, Meta is using the assistant as the front door to its own beta test.

Meta’s post on X framed the new request flow as a way for users to ask Muse itself for early access to the latest features.

Why Meta is targeting AI enthusiasts first

Meta is not opening the program as a standard randomized beta. Instead, it appears to be looking for people who are already active in the AI space and likely to try multiple apps, compare products, and notice where Muse stands out or falls short.

That matters because early AI adopters often behave like power users. They are more likely to provide detailed feedback, spot bugs quickly, and understand how Muse compares with rival assistants from other companies. For Meta, that could make the first phase of testing more informative than a broader, less focused rollout.

There is also a competitive angle. By appealing to users who follow the market closely, Meta may be trying to build momentum around Muse at a time when AI apps are increasingly judged on utility, speed, and how naturally they fit into daily routines.

How this differs from a normal beta

A conventional beta often relies on a randomized pool of testers so a company can measure performance across a broader audience. Meta’s approach is more selective and more community-driven, placing Muse in the hands of people likely to experiment heavily with the product.

That strategy can have benefits and drawbacks:

• Benefit: more detailed early feedback from experienced users.
• Benefit: stronger word-of-mouth among people who follow AI tools closely.
• Risk: feedback may skew toward power-user preferences rather than mainstream needs.
• Risk: a small, enthusiastic audience may not reflect how average consumers will use the product.

What is Muse becoming inside Meta?

Muse is evolving from a single app into a broader AI layer that can travel across Meta’s products and devices. The company’s Connect announcements point to a system that blends conversational interaction, commerce, desktop support, and wearable access.

That positioning matters because the AI assistant market is increasingly about ecosystem reach. A product that works on a phone, a Mac, and smart glasses has more chances to become part of a user’s daily workflow than one that lives in only one place.

New avatar and video chat

One of the most notable additions is a digital avatar for Muse that can be video chatted with. Meta did not say everything about the feature’s launch timing in the Friday announcement, but the preview suggests the company wants a more embodied assistant experience.

That type of interface could help Muse feel less like a utility and more like an interactive companion, a direction many AI companies are exploring as they try to make assistants more engaging and sticky.

Shopping and connectors

Meta also signaled that Muse will gain more shopping partnerships and connectors. In practical terms, that means the assistant should be able to tap into more external services and data sources, which could make it more useful for tasks that depend on connecting accounts or retrieving product information.

For consumers, that could translate into smoother help with comparisons, recommendations, or online actions that otherwise require jumping between apps and websites.

Mac app expansion

The Muse Mac app is also set for a broader role. Meta says it will soon be able to use the computer to complete tasks, which implies a more agentic feature set rather than simple chat.

That kind of capability is important in the current AI race because users increasingly want tools that do work on their behalf instead of only generating text. A Mac app that can act on-screen could position Muse against competing desktop agents and productivity assistants.

How does Muse fit into Meta’s wider AI push?

Muse appears to be one piece of Meta’s larger attempt to turn AI into a core consumer product rather than a standalone novelty. The company has spent the past year embedding AI features across its services while also investing in ways to make voice, vision, and conversational interfaces feel natural.

Moving Muse onto AI glasses is especially notable. Meta has long treated wearables as a strategic category, and pairing them with an assistant that responds to spoken commands gives the company another path into everyday use. If successful, that could make Muse less dependent on opening an app at all.

The company’s latest announcements suggest it wants Muse to be available wherever a user might need it: on the web, on desktop, in shopping flows, and through wearable devices.

Timeline of Meta’s Muse rollout

Why this matters for the AI market

Meta’s decision to recruit early access users through Muse itself is more than a quirky product detail. It reflects the growing importance of user experience in AI, where the winners are likely to be the assistants that feel easiest to access, easiest to trust, and most useful across different devices.

It also shows how companies are narrowing in on communities that can help shape product direction quickly. AI enthusiasts often move between competing tools, which makes them a valuable audience for benchmarking. If Muse wins them over, Meta could gain an advantage in both credibility and adoption.

At the same time, the company is clearly trying to make Muse more than a chatbot. The new avatar, commerce features, Mac task execution, and glasses integration all point to a future where the assistant becomes a central interface for Meta’s consumer AI ambitions.

What happens next?

The immediate next step is simple: users who want in can ask Muse to put them on the early access list. After that, Meta will likely use the initial test group to work through bugs, refine features, and decide which additions are ready for broader release.

For now, the bigger takeaway is that Meta is not just adding features to Muse; it is trying to shape how users discover and adopt them. By making the assistant itself the entry point to testing, the company is turning product rollout into part of the product experience.

That may prove to be a smart move if Meta wants Muse to stand out in a crowded AI market where attention is scarce and user loyalty is hard to earn.

For Meta, the bet is clear: if AI enthusiasts like Muse first, broader adoption may follow.