· Updated · Matt Ballek · 7 min read
ChatGPT Dots: What People Are Using Them For (and Why I'm Waiting)
Reddit users are trying Dots for overnight code reviews, big research jobs, and even grocery planning. I'm interested. I'm also still on Plus.

I pay $20 a month for ChatGPT Plus. The cheapest Pro plan that includes Dots is $100 a month.
That is five times my current bill. My interest in a cute little AI coworker gets considerably more practical at that point.
I’m not convinced I need to spend another $80 a month to give my agents a virtual computer and an adorable face. I already provide the questionable fashion choices around here. We do not need a second employee in novelty glasses.
But I also wanted to look past the avatar. What are people actually doing with Dots that makes the upgrade useful?
I went through Reddit discussions looking for specific examples. There are some interesting ones, especially for people juggling ongoing work. There are also enough rough edges that I’m happy to keep watching from my $20 seat.
This is my take on those reports, not a hands-on Dots review.
What are ChatGPT Dots?
Dots are ongoing AI agents powered by GPT-6 Astra. They have a cloud computer and browser, can keep working while your computer is off, and can coordinate work across connected tools. The idea is to give your Dot a responsibility it follows over time, with updates and questions when it needs you. OpenAI’s overview explains the feature.
That is a stronger pitch than “ChatGPT with eyes.” If a Dot can keep several pieces of a project moving without me constantly restarting the conversation, I can see the appeal.
The question is how much of that I need for the projects I’m actually building.
What people on Reddit are using Dots for
These are individual users’ reports, not independently verified results or a survey of everyone using Dots. I’ve linked the relevant discussions so you can read the context, including the less enthusiastic replies.
Reviewing code while the builder sleeps
In a discussion about finding useful jobs for Dots, u/AnalogProblems described setting up a review loop for pull requests created through Claude. They asked for reviews using Sol 6.1, selected the repositories, and left the coding work running overnight. They reported waking up to reviewed pull requests. Read the comment.
A pull request is a proposed code change you can inspect before adding it to the main project. Having review feedback waiting in the morning sounds useful, especially when one agent is producing changes faster than you can look through them.
This is the example that most interests me as a vibe coder. I would still check the changes and test the app before merging. Two AIs agreeing that a button works is lovely. I would also like to click the button.
Staying with a large document review for days
u/dry_towelette99 described assigning hundreds of PDFs and thousands of pages to a Dot. They reported that it kept its place in a multi-day review, handled a side question, and returned to the larger job. They also described a separate task that initially failed to launch because an execution environment wasn’t available, then ran after they connected a Linux computer. Read the detailed account.
That is a substantial assignment, and the continuity sounds more valuable than the character customization. Re-explaining a giant research job every time you return would get old fast.
For my work, the comparable need might be a large batch of product research or project documentation. But I would want evidence that the final review was accurate and complete. Keeping busy for three days and finishing a useful three-day job are different outcomes.
Grocery deals, a shopping list, and a calendar
In a thread asking for creative uses, u/Northern_Virginia said their Dot checks local grocery deals every Thursday against the family’s approved shopping list. It emails the results to their wife and, after she decides what they want, looks for a convenient shopping window in the user’s schedule. Read the grocery-planning comment.
I like this one because it is wonderfully ordinary. The useful part is connecting several small steps: what the family buys, what’s on sale, and when someone can get to the store.
For a vibe coder, that suggests looking at the repeated chores around a project. Checking feedback, deciding what matters, and finding the next small task could be more valuable than generating another screen.
Still, the groceries need to save quite a bit before they cover my extra $80. Those bananas have a quota.
Debugging errors and cleaning up files
In that same use-case thread, u/Helpful-Ability3980 reported using a Dot to explain error logs and write a script that renamed Downloads files by date. Read the discussion.
Useful? Absolutely. A reason for me to upgrade? Less obvious.
Those are the kinds of bounded requests I’d first give my existing coding agent. I’d need the ongoing part to matter: keeping something organized over time, following up on failures, or coordinating a workflow I currently have to supervise.
Otherwise, I’ve paid more to ask a familiar question through a friendlier face.
The reports aren’t all smooth sailing
A user on the $100 plan, u/UserName029, reported slow research, repeated permission problems, and less proactive behavior than they expected. Replies were mixed: one person said they woke up to several useful updates each morning; another reported losing access to desktop Codex. Read the discussion and replies.
Another user, u/MisfiledCentury, liked being able to switch between assignments and have work continue asynchronously. They also described browser obstacles and a Library-organizing task that remained unfinished. Read their early impressions.
I wouldn’t turn those posts into “Dots don’t work.” People have different setups and assignments, and these are early reports.
But they do raise the question that matters to me: how much attention does the assistant save after I account for setting it up, checking its work, and helping it when it gets stuck?
If I’m buying less babysitting, I’d like to end up doing less babysitting.
What does Dots access cost?
Pricing and availability checked October 17, 2026. Prices are USD.
| Plan | Monthly price | Dots access |
|---|---|---|
| Plus | $20 | Not listed as eligible |
| Pro 100 | $100 | Eligible, subject to rollout and regional restrictions |
| Pro 200 | $200 | Eligible, subject to rollout and regional restrictions |
| Pro 500 | $500 | Eligible, subject to rollout and regional restrictions |
| Business Premium | Public price not verified in the linked documentation | Worldwide rollout |
| Enterprise | Contact sales | Worldwide rollout; administrator enablement required |
OpenAI lists Pro access for users over 18 outside the European Economic Area, United Kingdom, and Switzerland. Access is gradual, so eligibility doesn’t guarantee immediate availability. Sources: Dots access and plan pricing.
Dot conversations don’t count toward ChatGPT usage limits, but delegated Work and Codex tasks still use those products’ allowances. Always-on does not mean unlimited work. See the usage explanation.
For me, moving from $20 to $100 means $80 extra each month, or $960 extra over a year if I keep the upgrade that long.
To be fair, Pro is a broader plan upgrade. That extra money isn’t a standalone avatar fee. Someone who already wants Pro’s other benefits will do different math. But if Dots are what would make me upgrade, they need to justify the added spend for my situation.
Why I’m waiting to see whether Dots come to Plus
I can already get a lot done with the tools I have. I’ve worked on this website from a train, and I have plenty of small projects I could build with ChatGPT Sites. My unfinished ideas have not been waiting for an agent to acquire glasses.
There is overlap worth checking before upgrading, too. OpenAI’s pricing page lists scheduled tasks, subagents, and Codex cloud chats among Plus capabilities. That doesn’t make them identical to a Dot, but it means I should understand what my current plan can do before buying another way to coordinate it. Compare the included features.
The Reddit examples make the most convincing case when the work keeps going: code comes in and gets reviewed, a big research assignment maintains continuity, or a recurring household chore connects several tools.
I would reconsider if I had a recurring job where Dots reliably saved enough time to justify the extra $80. I’d want to see the finished output, the amount of intervention required, and whether a simpler workflow on my current plan could handle it.
For now, I’m holding out to see whether Dots reach Plus, even with tighter limits. I haven’t found an announced Plus rollout date in the official documentation. That’s something I’m hoping for, not something OpenAI has promised.
I’m interested in what people are doing with Dots. I’m just not five-times-my-monthly-bill interested yet.
The little guy can keep waving. I’m keeping my $80.




