ChatGPT Dots vs Meta Muse vs Grok: Which Always-On AI Assistant Wins?
ChatGPT Dots, Meta Muse, and Grok's assistant all promise always-on help. Here's how they compare on capability, connectors, and price.
What is an always-on AI assistant, and why does it matter now?
An always-on AI assistant is a single interface that sits above your chats, apps, and accounts, watches your email, calendar, and messaging tools in the background, and proactively tells you what needs attention instead of waiting for a prompt. OpenAI’s version is called Dots, Meta’s is called Muse, and xAI has its own version inside Grok (sometimes referred to as Grokbot). All three launched or expanded within weeks of each other, turning “proactive assistant” into the newest battleground among frontier AI labs.
TL;DR
- OpenAI’s Dots replaces the model picker with one agent that decides on its own whether to use chat, Codex, or a background task, and it proactively flags urgent emails and Slack messages before you ask.
- Dots requires a Pro plan, which starts at $100 a month, making it by far the most expensive of the three always-on assistants covered here.
- Meta’s Muse is free with a Meta account but has fewer third-party connectors right now, lacking things like Granola or direct iMessage integration.
- Dots runs on OpenAI’s best underlying models, including Codex for coding tasks, so its ceiling for complex, multi-step work appears higher than Muse’s.
- Grok has its own always-on assistant too, and xAI’s ownership of the Grok.com domain (which redirects from Dot.com) hints at how competitive this space has gotten.
- The real feature isn’t chat, it’s scheduled, recurring tasks: all three products can run a background “scanner” (rentals, flights, job listings) and check in automatically on a set interval.
- Pricing tiers for Dots are in flux: OpenAI brought back a $200 a month plan with reduced usage and added a new $500 a month tier for higher limits and faster inference.
Remy doesn't write the code. It manages the agents who do.
Remy runs the project. The specialists do the work. You work with the PM, not the implementers.
How does ChatGPT Dots actually work?
Dots lives next to your regular chat list inside the ChatGPT app. Instead of choosing between chat mode, Codex, or “work” mode, you just tell Dots what you need and it decides which underlying tool or model to use. You can type to it the way you’d type into ChatGPT, or place an actual call to it and talk out loud.
The defining feature is proactivity. Connected to Gmail, Slack, Google Calendar, Notion, GitHub, Granola, To-Doist, and iMessage, Dots monitors incoming messages and flags anything it judges urgent. One demonstrated example: it caught a flight delay and alerted the user before they’d seen the airline’s own email. On a conference day, it compiled a “personal scratchpad,” pulling together relevant emails, Slack threads, and calendar entries from the week into a single agenda document.
Dots can also take action, not just notify. Asked to sort through an inbox, it archived messages that didn’t need a response and drafted replies for ones that did, without sending anything until given explicit permission. It can hand off coding work to Codex, schedule recurring background tasks (like checking a rental listing site every 30 minutes), and keep going even after you close your laptop, since the work runs in the cloud.
How does Meta’s Muse compare?
Muse is Meta’s take on the same idea: a single, always-available assistant rather than a wall of separate chats. The core difference is access. Muse is free to use with just a Meta account, no subscription required.
The tradeoff is breadth of connectors. At launch, Muse lacked integrations some users rely on, including Granola for meeting notes and a direct iMessage connection, though more connectors were reportedly being added. Muse is also generally considered to run on less capable underlying models than what OpenAI puts behind Dots, which matters for harder, multi-step tasks like coding or synthesizing years of email history into a coherent narrative.
For straightforward day-to-day triage, reminders, and basic task management, Muse’s free price point makes it a hard product to ignore, even if it can’t match Dots on raw capability.
How does Grok’s always-on assistant fit in?
xAI has built its own version of this same category inside Grok, often referred to by users as Grokbot. Like Dots and Muse, it aims to function as a persistent, proactive layer on top of your conversations and connected tools rather than a one-off chatbot session.
One small but telling detail: xAI’s Elon Musk owns the Dot.com domain, which redirects to Grok. Whether that was timed intentionally around OpenAI’s Dots launch or is coincidental, it highlights how directly these three products are now competing for the same “assistant that never sleeps” positioning.
Is ChatGPT Dots worth the $100-a-month price tag?
- ✕a coding agent
- ✕no-code
- ✕vibe coding
- ✕a faster Cursor
The one that tells the coding agents what to build.
That depends on how much the underlying model quality matters for your workload. Dots is gated behind OpenAI’s Pro plan, which starts at $100 a month. OpenAI also reactivated a $200 a month plan (now with reduced usage limits compared to before) and introduced a new $500 a month tier that enables higher limits and an “ultra fast” inference mode running at roughly 300 tokens per second, about eight times the normal speed, at roughly six times the cost.
For comparison, Muse costs nothing beyond a Meta account. That makes Dots a tough sell for casual users who mainly want reminders and basic email triage. Where Dots earns its price is in harder tasks: using Codex to actually build an app, digging through years of archived email to reconstruct a conversation history, or running scheduled research tasks (apartment hunting, flight tracking, job searching) that require real browsing competence. OpenAI’s computer-use capability, the part of the model that actually navigates websites, was specifically called out as strong relative to earlier attempts at browser automation.
If your use case is mostly “watch my inbox and tell me what’s urgent,” Muse’s free tier may be enough. If you need an assistant that can also code, synthesize large amounts of historical data, or reliably execute multi-step browsing tasks, Dots’ higher ceiling may justify the subscription.
What can you actually do with a scheduled, always-on task?
The clearest practical use case demonstrated across these tools is the recurring background scanner. Instead of manually refreshing a listings site, you give the assistant a standing instruction: search for rentals in a specific area within a price range and bedroom count, check again every 30 minutes, and alert when something new matches. The assistant then runs that task on a schedule, visible and editable from a dedicated tasks view, and you can refine it conversationally (“add a requirement for a pool”) without starting over.
The same pattern extends to flight and hotel price tracking, marketplace searches for a specific product, and job-listing alerts through connectors like LinkedIn. The appeal isn’t the chat interface itself, it’s that the assistant persists and acts without being re-prompted every time.
Frequently Asked Questions
What is the main difference between ChatGPT Dots and Meta Muse?
Dots requires a paid OpenAI Pro plan (starting at $100 a month) and runs on OpenAI’s strongest models, including Codex for coding. Muse is free with a Meta account but currently supports fewer third-party connectors and is generally considered less capable for complex, multi-step tasks.
Is Meta Muse really free?
Yes. Muse requires only a Meta account to use, unlike Dots, which is restricted to ChatGPT’s Pro, Business, or Enterprise tiers in eligible markets.
Can Dots send emails or messages on its own?
Dots can draft and send emails or replies, but by default it can be instructed to only prepare drafts for review rather than sending automatically. It will proactively flag urgent messages and offer to draft a response, leaving the final send decision to the user if asked to do so.
Does Grok have an always-on assistant like Dots or Muse?
Yes, xAI has built similar always-on assistant functionality into Grok, positioning it as a third option alongside OpenAI’s Dots and Meta’s Muse in this emerging category.
What’s the cheapest way to get an always-on AI assistant?
Plans first. Then code.
Remy writes the spec, manages the build, and ships the app.
Meta Muse is the only one of the three that’s free. OpenAI’s Dots requires at least the $100-a-month Pro plan, with $200 and $500 monthly tiers available for higher usage limits and faster inference.
