During OpenAI DevDay 2026, we got our first look at OpenAI’s answer to Muse: dots! 🤖
What are dots?
A dot is an always-on AI agent that lives inside ChatGPT that you can delegate work to. Each dot gets its own computer in the cloud, so it can browse the web and use tools on its own, and it plugs into 4,000+ apps through ChatGPT’s existing connections. You can reach it via ChatGPT, Slack, or Microsoft Teams, including voice calls. OpenAI announced that texting is on the roadmap as well. At launch, you get one dot, with “teams of dots” on the roadmap. You can read more on OpenAI’s blog post announcing dots.
Dots are rolling out gradually to Pro ($100/month and up) and Business Premium users. I updated my app, but my dots haven’t arrived yet. When I get access, I’ll throw my current Muse use cases at it and report back.
Space: The shared workspace
OpenAI also announced Space: “a dedicated space where teammates, ChatGPT, and your dot can build on shared knowledge.” This appears to look like a Notion-style wiki where colleagues and their agents can work on the same docs. Instead of tagging team members in comments with action items, you can tag your dot instead who can immediately start working on the task. It looks like slides and spreadsheets are on the roadmap as well. You can read more on OpenAI’s new webpage detailing Space.
Dots vs. Muse
Both products give the agent a computer of its own. That lets it use a browser and keep working even if you close the app on your phone or computer. They both have similar, cute character avatars you can name.
The core marketing and use cases are where they seem to diverge. Muse marketing is pretty heavily focused on personal and consumer use, which makes total sense given the parent company. OpenAI did include some personal use cases in its launch video, but overall it was much more weighted towards work and productivity use cases, especially considering the launch of Space.
The work use cases OpenAI shared look genuinely exciting. Instead of having to leave comments in a Google Doc for myself with action items to return to later, I can tag my dot in a Space page and ask it to actually take on that task. Or, I can tag my dot in a Slack thread to quickly hand off a task mid-conversation. I can definitely imagine this fitting seamlessly into my daily workflows.
Everyone’s gotta pay the bills!
Another distinction between dots and Muse is the pricing. Always-on agents have a real infrastructure bill. What Meta is currently offering, for free, is a massive infrastructure spend - but they also have a massive Ads business to help subsidize this for their user base. Muse does have paid tiers of $20 and $100 per month if you exceed the free usage limits, but it seems so far like the free tier is really generous with its limits.
Meanwhile, OpenAI dots come at a starting price point of $100 per month - and it’s unclear what the usage limits of dots will be. OpenAI says more info on usage limits will be coming after the first month.
It’s especially interesting to consider Meta’s announcement this week about moving into the enterprise space, along with the launch of Muse for Small Business. How, if at all, could that impact whether Muse for regular users stays mostly free in the long run? Time will tell.
Where to start?
If you’re not currently on the OpenAI Pro plans, I’d suggest waiting until dots fully roll out to Pro users and the reviews roll in to gauge if it’s something you want to invest in trying. In the meantime, maybe we’ll get some signal about future potential roll-outs to the other pricing tiers. Trying Muse for free is still a great way to experiment with agent use cases.
Another tip: Voice mode was used heavily in the OpenAI demo today. If you haven’t tried voice mode for your AI tools, whether that be ChatGPT, Claude, Muse, etc., definitely give it a try. It’s a huge productivity gain not having to type out requests, especially long ones where I’m brainstorming and want to give the AI a lot of context before it starts a task.