@harrisonitsme: https://x.com/harrisonitsme/status/2107985875779158360

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Summary

The author provides a step-by-step, beginner-friendly walkthrough of Meta's newly released personal AI agent "Muse," covering its core features (cloud computer, Memory, Soul, Goals, connectors), and demos real-world automation scenarios such as setting up a US-region Apple ID, making proxy phone calls, registering a Claude account, snagging a free domain, managing email, and AI video generation — while also examining the competitive landscape of the Personal Agent space and the privacy trade-offs involved.

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Getting to Know Muse Again: What Did I Get Out of It? (Step-by-Step Tutorial with Real-World Scenarios)

Muse has been incredibly hot lately, single-handedly driving the “Personal Agent” concept. But I’ve discovered that Muse can do so much more — all kinds of automation, scoring all kinds of freebies, with huge playability.


In This Article:

  • Introduction to Muse’s core features

  • Scenario 1: Signing up for a US-region Apple ID

  • Scenario 2: Letting Muse call a hotel for me

  • Scenario 3: Registering a Claude account

  • Scenario 4: Snagging a free .com domain

  • Scenario 5: Connecting your email to check subscriptions

  • Scenario 6: Making a video in three minutes

  • Conclusion on Personal Agents


Muse’s Core Features:

  • Cloud Computer (the most critical): Muse gives every user their own dedicated cloud computer with a full-featured browser. All of its operations happen on this machine — literally clicking buttons, filling out forms, passing verification checks, and receiving emails. (Clean IP, perfect for helping you snag various freebies.)

For example, I told it to open two browsers at the same time and compare AirPods Pro prices for me. It went to the official sites, checked prices, and did the comparison. Operating multiple browsers simultaneously is awesome!!!

  • Memory: It gradually learns about you and your preferences. Once you tell it “I’m in Shanghai, use Chinese, and lead with the conclusion in your replies,” you never have to repeat yourself.

  • Soul (some call it Soul.md): This defines the assistant’s “personality” and communication style. If it’s too wordy or too corporate-sounding, just tell it in conversation — it will adjust in the direction you like.

My own Soul.md — I want my Agent to: First, just do it by default, don’t ask permission. Second, know when to stop where it should. You can also directly copy my version:

  • Goals: For one-off tasks, chat is enough. For things that span multiple days or require step-by-step follow-through, create a Goal and let it continuously work on it for you.

  • Connectors: After authorizing, it can plug into services like Gmail and your cloud storage, reading their contents directly to get work done. Meta’s own ecosystem — Instagram and Threads — can also be connected.

For Memory and Soul, beginners don’t need to manually tweak them right away. Just use it normally and give casual feedback, and it will increasingly understand you on its own.


Real-World Scenarios

Scenario 1: US-Region Apple ID (Tested Personally)

Pain point: Want to download US-only apps or subscribe to overseas AI products, but you’re stuck at step one — getting a US-region Apple ID. The tutorials online are too complicated. Might as well let Muse automate it.

Prompt (minimal version, just copy it):


Scenario 2: Letting Muse Call a Hotel For You — Seriously Mind-Blowing (Currently in beta for select users)

This is Muse’s most sci-fi and paradigm-shifting capability: it can make phone calls on your behalf.

Not help you write a script — it actually dials the number, talks to real people at the front desk sentence by sentence, asks about prices, and then brings the results back to me.

I randomly picked a hotel in San Francisco and asked it to check room rates for me. Too lazy to call myself, so I just sent it this: “Call Hilton San Francisco Union Square for me, ask about room types, packages, and prices, and summarize the results for me.”


Scenario 3: Registering a Claude Account via the Cloud Computer

Muse gives every user a cloud computer. This cloud machine has a use case many people haven’t realized: its environment is extremely clean.

What does that mean? It’s a standalone, brand-new virtual computer with its own browser — none of the cookies, login states, or browser fingerprints from your local machine. When registering a new account, this is a naturally clean environment that won’t tangle up with your existing identity on your own computer.

Lonely @Lonely__MH · Sep 25 Article 🔥 Muse’s Ultimate Play: Fully Automated Claude Account Creation!! [Complete Tutorial] This article is for first-time Muse users. Muse does everything on its own — you just need to answer a few questions. Watch the screen recording first, the whole process takes less than two minutes 👇🏻

🤔 What is Muse? Muse is the personal AI Agent Meta just released a few days ago….

For details, check out @Lonely__MH’s tutorial — I won’t repeat it here.


Scenario 4: Snagging a Free .com Domain

Muse can snag a free .com domain (method from @Lniosytest, who showed real results: got a domain for $0, valid all the way to 2032).

The principle is simple: the registrar Northwest Registered Agent offers your first .com domain free for the first year. The entire process — search domain → add to cart → confirm $0 → fill in ICANN info → enable WHOIS privacy → check out → click the verification email — can all be handed off to Muse to run on its cloud computer.

李天才|TianCai @Lniosytest · Oct 5 Muse successfully snags a .com domain for free!


Scenario 5: Email Secretary (Personally Tested Use Case)

Pain point: Dozens of emails a day — delivery notifications, bills, to-dos all mixed together. Sifting through them eats up half an hour.

Prompt (just copy it):

This is incredibly useful for people who don’t check their email often. For me, I basically have AI read all my emails for me hahaha — managing all kinds of subscriptions and bills.


Scenario 6: AI Video Generation (Personally Tested)

Watch the result first:

森叔 @harrisonitsme · Oct 1 I was so scared I just collapsed straight onto the ground. This is Muse outputting in three minutes straight??? Muse — this product has way too much to explore. Not even mentioning all sorts of life scenarios, but it can generate videos too??? The key is the product form is lightweight

Honestly, I got the idea from @li9292’s case, tried it, and it actually worked!

李韭二 @li9292 · Oct 1 Meta Muse direct output Everyone, take a look at the difference with Seedance 2.5 👇 Slumped in a chair, witnessing the explosion of an atomic bomb

我真的没有拼多多 @nopinduoduo · Sep 30 Fuck, with a girlfriend like this, what time are you heading home?!

Seedance 2.5 is still badass! Image from @liyue_ai, video prompt in the comments below 👇 x.com/nopinduoduo/st…

My whole process was extremely simple — just one prompt. You can copy mine directly:

Beyond that, I tested other directions too, and the results are quite good. While not quite on par with SD 2.5’s output, it’s more than good enough — and it’s Meta’s own video model.

森叔 @harrisonitsme · Oct 1 Muse’s text-to-video effects are pretty stunning, and the key is it’s free!!!

You can copy this one too:


Conclusion:

Cloud computers, long-term memory, proactive reminders — these features existed before, and the underlying needs aren’t new either. Openclaw already proved out 7×24 operation earlier this year. “Personal Agents” aren’t a new story. The concept of a personal assistant has been hyped for two years; this year, model capabilities finally crossed the threshold and stabilized, so the big players rushed in. It offers four things beyond a Coding Agent: 7×24 always-on proactively finding work to do, connected to your email, calendar, and payments to handle external tasks for you, available on demand right in your chat app, and long-term memory that understands you better the more you use it.

Everything running on the cloud is the big companies trading zero deployment barriers for your convenience, stitching together ecosystems with pre-built connectors (Dots targets work, Muse bets on life, Grok Bot simulates human-like computer operation), harvesting reinforcement learning data through full observability, and finally charging subscription fees through cloud-stored memory and authorization.

What’s really happening behind the scenes is a fight over the ecosystem entry point for the next decade. In the future, you’ll just say one sentence, and every app becomes a supplier behind the scenes — even dinner plans between friends will be two Agents coordinating calendars on their own. But one of the costs of going fully cloud-based is that full observability = you proactively hand over your privacy. And with data stored on the vendor’s side, whether you can export it depends on their goodwill. The more you use it, the harder it becomes to switch.

(This article references cases from several creators, all credited above. If you’ve read this far, why not give us a follow!)

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