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OpenAI’s Dot vs. Meta’s Muse: A Hands‑On Look at the New Always‑On AI Agents

OpenAI Dot and Meta Muse go head‑to‑head – pricing, privacy, and real‑world quirks compared

Both OpenAI’s Dot and Meta’s Muse promise to keep working after you walk away. We tested them, broke down the costs, permission systems and where they’re actually available.

When Meta rolled out Muse on September 8 and OpenAI followed three weeks later with its always‑on Dots inside ChatGPT, the hype was hard to miss. The idea is simple enough: give an AI a task, walk away, and let it keep busy in the background. In practice, though, the two services feel quite different.

First off, how they live. Muse runs inside a dedicated Secure VM that sports its own browser, so it feels a bit like messaging a person who also happens to have a tiny web‑session of its own. You can chat with Muse via a standalone app, a web portal, or even WhatsApp, and then link it to things like your email or calendar when you’re ready. In our quick test, Muse took a bunch of saved Instagram and Facebook posts and magically turned them into tidy recipe and restaurant collections – a neat trick for anyone who hoards food‑inspo.

Dot, on the other hand, is baked right into ChatGPT and is powered by the brand‑new GPT‑6 Astra model. Every Dot gets its own cloud‑hosted computer, can call plugins, remembers context, and can even be given permission to poke around your local machine for files or browse the web. OpenAI is also promising a multi‑Dot manager soon, so you could theoretically have a research‑Dot, a scheduling‑Dot, and a code‑writing‑Dot all running side‑by‑side.

Both agents need a human to keep an eye on them, though. Meta says Muse will always ask before it sends an email or makes a purchase, and OpenAI has built a mix of permissions, custom rules and an auto‑review system to stop Dots from running wild. Still, the safety nets aren’t perfect – Amazon already blocked Muse from shopping on its site, and both companies admit the agents can still slip up.

Price is where the contrast really pops. Muse’s free tier lets you dip your toes in, but it caps usage. If you want more, the “Power” plan is $20 / month and the “Maximum” plan tops out at $100 / month. Dot is pricier from the get‑go: the cheapest personal plan, called Pro 100, costs $100 / month. Business users pay $100 per seat per month if they bill annually, or $125 / month on a month‑to‑month basis. In short, Muse is the cheaper playground; Dot feels more like a professional‑grade tool.

Along with the sticker price comes a question of data. Meta assures users that anything happening inside the VM stays out of its advertising pipeline, and you can toggle a setting that stops your interactions from being used to train Meta’s models. OpenAI is a bit more nuanced: data from personal‑plan Dots may be used to improve its models unless you turn it off in ChatGPT settings, while Business and Enterprise data are excluded by default. Both platforms let you grant the agents access to sensitive stuff – email, calendars, files – but you’ll probably think twice before handing over your inbox.

Availability isn’t universal either. Muse is currently limited to the United States and Canada. Dot is being rolled out to eligible Pro users outside the EEA, Switzerland and the UK, while Business Premium users can get it in supported ChatGPT regions, and Enterprise is still in beta. OpenAI also notes that Dot activity won’t eat into your usual usage limits unless it’s running inside ChatGPT Work or Codex.

Bottom line? If you just want a low‑cost assistant that can stitch together social‑media finds or make a grocery list, Muse is the friendlier, cheaper option. If you need a more powerful, plugin‑rich sidekick that can surf your own files, run code and juggle recurring projects, Dot’s higher price may be worth it – provided you’re comfortable with the privacy trade‑offs. Either way, the “set‑and‑forget” dream is still a work in progress, but both Meta and OpenAI have taken a solid step toward it.

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