Yesterday (October 12) Meta announced Muse Wonder, with the new model set to reach Muse subscribers first when the app rollout begins. Ten days earlier, xAI announced a subscription combining Cursor and Grok, with Grok Bot included on the higher tiers. Both companies are giving us more reasons to pay for an agent that keeps working after we close the laptop.
And I understand the appeal. When you’re the person troubleshooting a missed scheduled job, paying someone else to run the machine starts to sound reasonable. You still get an agent with access to your tools, but the server upkeep becomes someone else’s responsibility.
The harder decision comes when you already pay for ChatGPT or have Hermes doing useful work. Some of what Muse and Grok Bot offer overlaps with that setup. Before adding another bill, I want to know which jobs become easier and how much of the checking still comes back to me.
I compared their documentation and pricing with published hands-on reports, using my experience running Hermes as the reference point. I’m looking for the work each service can take off my hands and what it asks of me in return.
I checked the prices and availability below on October 13, 2026. The comparison focuses on what you can use now, including the limits behind the subscription prices.
In this article:
What You’re Buying
What the Price Covers
What People Have Delegated
The Work You Own
Try One Job
Where I’d Start
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What You’re Buying
Meta builtMuse around a dedicated virtual computer with a browser. You give it ongoing goals, it keeps memory, and you talk to it through the app or WhatsApp. That arrangement appeals to me because I can hand over work that needs access to my accounts without also taking on another machine to maintain.
The small-business rollout adds connections to QuickBooks, Shopify, and Slack, among others. Meta lists the US and Canada, so readers elsewhere should check availability before spending time planning a workflow. For each connector, look for the action you need it to perform inside the app.
Grok Bot also works on a cloud computer and runs scheduled jobs while your laptop is closed. Its product FAQ explains that all your bots share one persistent computer, including its files, browser, and logins. I would check how overlapping browser jobs behave early in a trial, before relying on several bots at once.
Before adding either, look through what ChatGPT already includes. ChatGPT Work handles tasks with files and connected tools, and automations cover recurring work. For jobs that use your local machine, you need to keep that machine and the app running.
I’m using ordinary ChatGPT and Plus as the baseline here. OpenAI also has dots, its always-on agents with cloud computers, rolling out to eligible higher-tier accounts. If your plan includes a dot, give it the job before buying another managed agent.
With Hermes , you make more of those choices yourself. The open-source agent supports persistent memory and reusable skills, with scheduled jobs and messaging integrations for ongoing work. You pick the model provider and where the agent runs, and you look after the connections between them.
What the Price Covers
I’ve used the advertised monthly prices in US dollars. Check the offer in your own account, since your location and existing plan can affect what you pay.
Muse has a free option with limited usage. Meta’s subscription page lists Power at $20 a month with 500 million Muse tokens per week , and Maximum at $100 with 3 billion per week. It doesn’t give a fixed numeric allowance for the free option.
I can’t tell you how many useful tasks those token allowances will buy. Muse uses its own accounting, and treating its tokens as equivalent to a model provider’s API tokens would give us a misleading comparison. Put a few of your recurring jobs through it and watch how much allowance they use.
For Grok Bot , the entry point for new customers is $30 a month. The unified X Subscription, announced October 2, puts Bot on Premium and above. The full plan list is Free, Plus at $8, Premium at $30, Super at $100, and Ultra at $200 monthly.
The bundle makes more sense if you also use Cursor, but the two products draw from the same weekly allowance. Every Bot job uses allowance you may also want for coding that week, while third-party models in Cursor carry separate usage charges.
If you’ve seen people recommending a $20 Cursor plan for Bot, they may still have an older subscription. Existing subscribers can keep those plans, while new customers start with the unified offer. Include taxes and any extra usage when comparing the bill.
ChatGPT Plus is $20 monthly , according to OpenAI’s pricing. If you already subscribe and have room in the allowance, you can try the job without adding another bill, which makes it my first recommendation for existing subscribers. API usage costs extra.
Hermes has no software subscription fee. You supply the model access and somewhere to run it, then cover any paid tools you connect. The easy part to leave out is your own maintenance time, especially if, like me, you enjoy working on the setup.
What People Have Delegated
In Eric Hal Schwartz’sMusetrial for TechRadar, the useful moment was an email he’d missed. Muse spotted an unopened utility email about a solar-panel visit, discussed dates with him, and prepared a response for approval. I can see myself using an assistant for that kind of admin.
Muse also found shopping options and asked for an Amazon login before proceeding. The report takes that task as far as the login request. Elsewhere in the trial, Schwartz described Muse forming a distorted picture of him from the emails it could see.
That last part would bother me more than having to approve an email. I expect to review a draft. If the agent has misunderstood something about me, I first have to notice the assumption and work out which of its decisions relied on it.
One e-commerce user reported mixed results withGrok Bot. They found its email-marketing work useful, but it repeatedly missed instructions on product listings. The user also reported browser crashes and eventually abandoned a customer-chat experiment.
A bookkeeping and data-entry user reported much better value. I can’t verify either user’s results, and their plans and models also form part of the picture. I take these accounts as suggestions for what to try, rather than a basis for promising anyone a particular saving.
For a first assignment, give the agent a draft you know how to review. You’ll learn where it needs help without asking it to handle every unusual customer request along the way. Once you can use those drafts with little editing, you have a reason to give it more responsibility.
The Work You Own
I’m willing to pay someone else to keep the agent’s machine running. That would remove a job I already understand, although I’d still make time to review what the agent produces.
Meta describes safeguards aroundMuse, including a separate system that reviews network access, plus checks before sensitive actions. Those checks serve a different purpose from reading a customer email to make sure it says what I intended, and I want both before the agent sends anything under my name.
I use that same separation in my Hermes approval-gate workflow. The agent prepares the work and brings it back to me before sending. It’s an easy place to start while you get to know how a new agent handles your instructions.
Maintenance has taken more of my attention than I expected at times. In my Hermes maintenance routine, I wrote about blaming the model for a delay before tracing it to memory recall. I also had to investigate a scheduled report that hadn’t arrived.
Those problems came from my setup and its integrations, and I had to sort them out. I still value the control Hermes gives me, but I count that work when weighing a hosted alternative. If someone else can save me the troubleshooting, I’m happy to include that in what their service is worth.
Control also involves knowing where your data goes. When you connect a self-hosted agent to a cloud model, it still sends information to that provider. Hosting the agent yourself gives you choices about those connections, and you need to pay attention to the choices you make.
When you compare the options, include the time you spend getting usable work out of them. If you spend an hour rescuing a run and throw away the result, that hour still counts.
Share this with someone weighing another agent subscription against the setup they already have.
Try One Job
Pick something you do often enough to know when the result is useful. My morning briefing workflow fits because I know what belongs in it and can tell when it leaves me digging through the inbox again.
For an invoice-follow-up trial, give each option the same sample. Include an overdue invoice alongside one that’s already paid, and leave one record ambiguous on purpose. The agent needs to get the amounts and dates right, leave the paid invoice alone, and ask about the unclear record before preparing anything to send.
If research takes up more of your week, ask for a dated competitor comparison with source links and a note about anything the agent couldn’t confirm. Open those links and check whether they support the claims. Include that reading time when you decide how much work the agent saved you.
Run the same job through your existing method so you have something to compare it with. Keep the first attempt small enough to inspect completely, then repeat with fresh inputs. Record setup separately from the time each run takes.
Keep a short note for each attempt:
Job and frequency: What needs doing, and when?
Accepted result: What must be correct before I use it?
Access and approvals: Which accounts and actions are involved?
Human minutes: Setup, supervision, review, corrections, and repair.
Spend and limits: Added cost, allowance used, and any interruption.
Outcome: Accepted, corrected, or abandoned, with the reason.
You’ll soon notice if a tool gives you more work than you started with. When the early results look useful, keep the same notes as you give it fresh inputs. That’s how you find the awkward cases the first attempt missed.
Where I’d Start
For most readers already paying for ChatGPT , that’s where I recommend starting. Give it the research task or draft, then see what you still have to do yourself. Check its scheduling options before buying another product to repeat the job.
Muse is worth trying when its connections fit the admin you deal with every day. If your account is eligible, start with the free option and give it one of those jobs. A paid plan becomes easier to justify once you have a result you want again next week.
Grok Bot makes more sense to me if you also want Cursor and have work that needs a persistent browser. Check that the shared allowance covers both, and pay attention when several bots use the computer at once. Those details will affect how comfortably it fits into your week.
I still have a clear reason to keep Hermes : I want to choose my model provider and work with files on my own host. I’m willing to accept some upkeep for that, but if you don’t need those choices, you have less reason to take on the maintenance yourself.
And if you only do the job occasionally, it’s fine to finish it yourself. Setting up an agent should save you work often enough to repay the effort.
Leave promised upgrades out of the buying decision until your account can use them. That includes the Muse Wonder app rollout mentioned at the start.
Give Muse or Grok Bot one job for a month before moving the rest of your work. Keep track of how often you use the result and how much attention it takes to get there. By renewal time, you should know whether the service saves enough time to justify the bill, or whether you’re better off keeping the setup you already have.
Which recurring job would you give Muse or Grok Bot first? Tell me the task and what you use today in the comments.
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