Free lesson · lesson 1 of 26
What Muse Is and What It Can Do
Which product this is, exactly
Muse is Meta's personal AI agent: software that carries out tasks for you, not just answers questions. It launched on September 8, 2026 at muse.ai. Meta Superintelligence Labs built it, and it runs on a model called Muse Spark. When you open muse.ai, it signs you in through Meta. That's how you can tell the site is Meta's.
Several things have similar names, and mixing them up causes real problems when IT or counsel review your request:
- The Meta AI app is a separate Meta product with its own terms. Approval for one doesn't cover the other.
- Muse Spark is the model under Muse, not an app you sign up for.
- Project MUSE (an academic journal service) and the Muse website builder have nothing to do with Meta's agent.
Example: you email your IT lead, "Can I use Muse for meeting prep?" A precise version is: "Meta's Muse agent at muse.ai, which has its own Supplemental Terms at muse.ai/terms, separate from the Meta AI app." Being that precise saves a round of back-and-forth.
Muse (this course)
- Meta's personal AI agent at muse.ai
- Launched September 8, 2026
- Built by Meta Superintelligence Labs
- Runs on the Muse Spark model
- Signs you in through Meta
Not Muse
- Meta AI app: separate Meta app with its own terms
- Muse Spark: the model, not the product
- Project MUSE: academic journals, unrelated
- Muse website builder: unrelated
Only the left column is what this course covers.
Try it
Your IT lead says, "We already reviewed the Meta AI app's terms last year, so Muse is covered." What's the accurate reply?
How an agent differs from a chatbot
A chatbot answers when you ask and stops there. An agent takes a goal and works toward it. Meta says Muse turns long-term goals into plans, keeps working in the background after you close the app, and comes back when something changes or when it needs your approval. It asks through an approval card, an in-app prompt where you allow or deny a specific action.
Take this course's running example. A national chain offers a three-year contract worth nearly a fifth more volume, capacity may be short, and the board chair wants your view by Friday.
- With a chatbot, you paste in a question, get an answer, and have to come back to ask again.
- With Muse, you can set a standing job, such as "each weekday morning, flag new public news about the chain and list my meetings about it." It runs on schedule without being asked again.
Meta's examples go further: sending email, booking travel, filling in forms, buying things, negotiating. Muse can do these, but in this course it prepares and drafts, and you approve, send and decide.
Chatbot
- Answers when you ask
- Forgets the task once you leave
- You return to ask again each day
Muse as an agent
- Holds a goal, such as being ready by Friday
- Runs scheduled work in the background
- Returns when something changes
- Asks via approval cards before acting
The agent keeps working between your visits. The chatbot waits for your next question.
Try it
Which behavior marks Muse as an agent rather than a chatbot?
Five capabilities and the leadership work they fit
Meta lists five capabilities. Each one matches part of your recurring preparation work:
- Goals in the background. Muse holds an aim and checks in on a schedule. Fits: turning an annual goal into quarterly milestones with a weekly check-in.
- Memory you can edit. It remembers what you tell it, and you can correct or delete entries. Fits: your role, your working hours and rules like "draft, don't send."
- Its own cloud computer, the Muse Secure VM. Muse has a browser, a file system and a terminal, and it can write code for a task. Fits: researching public sources on the chain and its market.
- Artifacts. These are outputs it creates, such as documents, PDFs, web pages and trackers. Fits: a one-page decision brief or a draft board update.
- Connectors. These are links to other services, such as Gmail and Google Calendar. Fits: a weekday brief built from your inbox and calendar, read-only.
Not everything it can do belongs in your role. Board, deal and employee material stays out, and later lessons cover why.
Each card pairs one capability with one standing task from this course.
Try it
You want Muse to read today's meetings for your morning brief. Which capability does that use?
The places in the app this course uses
Learn these locations now, because every later lesson sends you to one of them:
- Chats: one long main chat for your ongoing work, plus side chats that keep a project separate. You might keep the chain contract in its own side chat.
- Goals: where long-running goals and their plans are tracked and edited.
- Ideas: suggestions Muse offers without being asked.
- Library: files, including System Files, which give a closer look at what Muse has done.
- The Assistant icon, which opens:
- Identity, which holds Memory (what it has saved about you) plus its personality and name settings.
- Activity log, a dated record of the actions Muse took and the permissions it used.
- Upcoming, a list of scheduled tasks and reminders.
A typical week: you set up a brief in Chats. It appears in Upcoming. It runs and posts each morning. On Friday you open the Activity log to confirm it only read your email and never replied.
The same weekday brief passes through four places in the app.
Try it
Where do you confirm what Muse actually did this week, rather than what it says it did?
What's announced but not confirmed
Meta has announced more than it has shipped. At its Connect event on September 23, 2026, it announced a voice mode, Muse Realtime Avatar and a Muse email address you could copy on threads, with no ship date given. Muse on AI glasses is promised "in the coming months." Press have reported phone calling. Meta tested a version in which human contractors placed calls, for Meta employees only, then rolled it back and admitted the missing disclosure was a mistake.
None of these is confirmed as available as of October 28, 2026, so this course doesn't teach them. If you see a guide that shows them, treat it as unconfirmed.
One more limit matters for leaders: Muse has no team workspace, shared agent or team plan. Every person needs their own account and subscription. If your chief of staff also wants Muse, they set up their own, and their Muse has no access to yours.
Tap one on the left, then what it goes with on the right.
0 of 5 matched
None of these is part of what you'll set up in this course.
Try it
A vendor demo shows Muse joining a call with a supplier by voice. How does this course treat that?
When your screen doesn't match
Meta updates Muse often. The menu names in this course come from Meta's Help Center as of October 28, 2026, and your screen may already differ. Labels move, get renamed, and can vary between iPhone, Android, Mac and the web.
When a name doesn't match, don't guess at a setting that controls access. Use this routine:
- Note the name the course uses, such as
Settings > Permissions. - Look for the same setting under a nearby or renamed label.
- If it isn't obvious, open Meta's Help Center page for that feature and follow its current wording.
- Don't rely on Muse's own account of how it works. Meta has said the agent's explanation of itself was wrong in at least one reported case. Rely on the Help Center and the Activity log.
This lesson's main point carries through the whole course: Muse prepares and drafts, and you approve, send and decide. Next lesson covers who can get Muse, what the plans cost, and the incidents since launch.
Put these in order: tap two to swap them, or use the arrows.
- 1
- 2
- 3
- 4
Official sources come before guesses, and the agent's own explanation is never the deciding source.
Try it
In one sentence, what do you do if a menu name in this course isn't on your screen?
In short
Muse is Meta's personal AI agent, launched September 8, 2026 at muse.ai. Meta Superintelligence Labs built it, and it runs on the Muse Spark model. It is separate from the Meta AI app and unrelated to Project MUSE or the Muse website builder. Unlike a chatbot, it works toward goals in the background, keeps an editable memory, runs on its own cloud computer (the Muse Secure VM), creates Artifacts and connects to services through Connectors. This course uses Chats, Goals, Ideas, Library and the Assistant icon's Identity, Activity log and Upcoming. Voice mode, Realtime Avatar, the Muse email address, AI glasses and phone calling are not confirmed as available, and there is no team workspace. Screens change, so check Meta's Help Center when a label differs, and keep the rule throughout: Muse prepares and drafts, and you decide.
Carry on with the whole course
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