What Is Grok Bot? xAI's Always-On AI Agents Explained
Grok Bot gives every task an always-on agent with its own computer. See how xAI Bots work inside your apps, what plans include them, and if one fits you.
Grok Bot and ChatGPT Dots both promise always-on agents. Compare where they run, how you reach them, approvals, pricing, and which fits your business.
Two companies just gave the same pitch in different words: agents that work while you do something else. xAI launched Grok Bot on August 11, 2026 as a team of always-on agents with their own computers. OpenAI answered on September 29, 2026 with ChatGPT Dots, described as remarkably capable, always-on agents built to handle everything. Underneath the slogans sit two different bets about where agents live and how ordinary businesses will use them.
This comparison sticks to published facts: where each agent runs, how you reach it, what approvals look like, what access costs, and which business should pick which. For the standalone explainers, see what Grok Bot is and ChatGPT Dots explained. For what the numbers mean in dollars, our agent pricing comparison puts these plans side by side.
Grok Bot's vision is the agent as teammate inside maker tools. Built jointly by SpaceXAI and Cursor, Bots work the way xAI's own teams used them before launch: sales outbound, marketing campaigns, office operations, and bug fixes. Bots run in parallel, message each other, and share work. The natural buyer is a team that already lives in Cursor or the Grok ecosystem and wants background capacity on technical and operational workloads.
ChatGPT Dots' vision is the agent as a helper that meets you where you already talk. Each Dot has its own cloud computer and browser, an isolated virtual machine rather than your laptop, and connects to over 4,000 apps. You reach Dots through ChatGPT, mobile apps, Slack, and Microsoft Teams, with voice calls supported and SMS planned. The natural buyer is a business that lives in chat and wants delegated errands, research, and operations with approval gates. If you want a scoped version of that pattern today, an AI internal assistant covers the same ground for one workflow at a time.
| Dimension | Grok Bot | ChatGPT Dots |
|---|---|---|
| Launched | August 11, 2026 | September 29, 2026 at OpenAI Dev Day |
| Built by | SpaceXAI jointly with Cursor | OpenAI, powered by GPT-6 Astra |
| Where agents run | Own computer inside Grok and Cursor harness | Own isolated cloud computer and browser |
| App reach | Tools and apps in the xAI and Cursor orbit | 4,000+ apps via OpenAI plugin ecosystem |
| Channels | Desktop and iOS | ChatGPT, mobile, Slack, Teams, voice; SMS planned |
| Parallelism | Bots run in parallel, message each other | Multiple Dots for different jobs; Activity View supervision |
| Approvals | Enterprise access, network, and audit controls | Read-only background research; actions allowed, blocked, or approval-gated |
| Access | SuperGrok tiers; Cursor Pro to Ultra and Teams | ChatGPT Pro and Business Premium; first Dot included |
| Enterprise story | Invite whole org; two free weeks for enterprise | Specialist Dots with company-system access; Agent 365 alignment via Microsoft |
| Maturity signal | Internal use on four workload types since before launch | Specialist Dots in procurement, invoicing, support, and contracts still in testing |
Both systems give each agent its own computer, but the computers sit in different places. A Grok Bot's environment is native to the Grok Bot harness, which Grok 4.7 understands directly, so long sessions inside development and document workflows hold context well. A Dot's environment is an isolated virtual machine with its own browser, deliberately separate from your laptop, so web errands happen without touching your machine.
For an owner, the practical question is where the work happens. If the workload is repositories, documents, and operational checklists inside tools your technical staff already uses, the harness-native design favors Grok Bot. If the workload is web research, cross-app errands, and delegated tasks that start from a chat message, the isolated-cloud-computer design favors Dots. Neither design removes the need for review; both produce output someone must check.
This is the clearest day-to-day difference. Grok Bot meets you on desktop and iOS inside its home ecosystems. ChatGPT Dots meet you in ChatGPT, on mobile, inside Slack and Microsoft Teams, and over voice calls, with SMS on the roadmap. For a non-technical team that coordinates in Slack or Teams, Dots require less behavior change: delegating looks like sending a message, and checking in looks like opening the Activity View.
Voice support deserves a careful read. Dots support voice calls now, which suits quick delegations and status checks. But a Dot taking a call as your delegate is not the same as a system engineered to answer every inbound customer call, qualify the caller, and book the job. Businesses that conflate the two will misassign the work. Keep general delegation with Dots and put customer-facing call handling on purpose-built answering automation.
Both vendors understand that an agent with broad access and no gates is a liability. Grok Bot's answer is organizational: access controls over who creates Bots and what they touch, network controls over where traffic goes, and audit controls over what happened. That model fits companies with IT ownership and review cadences.
Dots answer at the task level: background research runs read-only by default, actions can be allowed, blocked, or set to require approval, and the Activity View lets you watch a Dot work and redirect it mid-task. Sensitive operations such as changing a password always stay with the user, credentials can be used without exposing passwords to the model, and Dots can be stopped if systems detect malicious instructions. Specialist Dots for procurement, invoice processing, customer support, and commercial contracts get their own identities with access to selected company systems, and OpenAI is working with Microsoft to bring them under Microsoft Agent 365 security controls.
Small businesses should copy the stricter parts of both: read-only defaults for research, approval gates for anything external or financial, one owner per agent, and a log you actually review.
Grok Bot is further along as a shipping team product with documented internal use, while Dots are newer with some pieces still in testing. On access, Grok Bot requires SuperGrok tiers or Cursor paid plans from $20 per month for Pro through $200 for Ultra, or $40 to $120 per user for Teams, with Bot usage metered separately. Dots roll out to ChatGPT Pro and Business Premium in eligible markets with the first Dot included and extended limits during the first month, and Dot usage does not count toward plan limits initially. Enterprise, education, and healthcare Dots run as an admin-enabled beta that is off by default.
Note two availability caveats on the Dots side: Pro is initially unavailable in the EEA, Switzerland, and the UK, while Business Premium covers all supported regions. And treat GPT-6 Astra claims the way you would treat any brand-new model: OpenAI says it powers Dots, but independent benchmarks were not published at launch, so judge by pilot results rather than launch language.
Choose Grok Bot if your team already pays for Cursor or SuperGrok, your backlog is software-adjacent or document-heavy, and someone technical will own the Bots. Choose ChatGPT Dots if your team coordinates in ChatGPT, Slack, or Teams, your backlog is research and cross-app errands, and you want approval-gated delegation with minimal setup. Choose neither yet if your workload is not describable, repeatable, digital, and reviewable, or if missed calls and slow follow-up are costing you more than back-office throughput. In that last case the money goes further on the front line than on either agent system.
What is the biggest difference between Grok Bot and ChatGPT Dots?
Reach and home base. Grok Bot lives in the xAI and Cursor world on desktop and iOS, built with Cursor for software-adjacent teamwork. ChatGPT Dots, announced September 29, 2026, live on their own cloud computers and meet users in ChatGPT, mobile, Slack, and Teams, with voice calls supported and SMS planned.
Which is cheaper, Grok Bot or ChatGPT Dots?
Neither publishes simple per-agent pricing yet. Grok Bot rides on SuperGrok tiers or Cursor plans from $20 per month to $200, or $40 to $120 per user for Teams, with separate Bot usage on top. Dots roll out to ChatGPT Pro and Business Premium with the first Dot included and extended limits during the first month.
Which has better controls for a business?
Both take governance seriously but differently. Grok Bot enterprise offers access, network, and audit controls for the whole organization. Dots offer per-task approvals, an Activity View for watching and redirecting work, read-only background research, and alignment with Microsoft Agent 365 controls for specialist business agents.
Which should a non-technical small business pick?
Most should start with ChatGPT Dots if they already live in ChatGPT, Slack, or Teams, since the channels and approval model fit everyday operations. Technical teams already on Cursor will get more from Grok Bot. Businesses whose real gap is phones and bookings should fix that first with dedicated front-line automation.
The fastest way to choose is a two-week test on one real job, scored on hours saved and review time. If you want help designing that test or ruling out that the money belongs on phones and follow-up instead, book a call. To self-score your current leaks first, run the free six-step plan: start your AI automation plan.
Grok Bot gives every task an always-on agent with its own computer. See how xAI Bots work inside your apps, what plans include them, and if one fits you.
ChatGPT Dots are always-on agents with their own cloud computers. Learn how they work across apps, approvals, availability, and what is still unproven.
Meta Muse is a personal AI agent for everyday tasks in WhatsApp and its own app. Learn what it does, how the Secure VM works, pricing, and limits.
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