When AI Gets Its Own Computer: How Hark, Muse, Dots, and Grok Bot Converge in Form

The public descriptions of all four products point to the same interaction model — give the AI its own computer and let it work for you in the background. This is an observation about product descriptions; it does not mean identical underlying architectures or equivalent performance. There is no evidence supporting plagiarism claims, nor can the absence be proven in reverse. (Product analysis current as of 2026-10-06.)

Hark's research preview (page marked AUG05 only, year not stated) presents Handoff as a computer use agent: each request spins up a dedicated virtual computer with its own browser, filesystem, and terminal, operating websites the way a person would; users can connect their existing accounts. Training began at the post-training stage, had moved into mid-training at the time, with pre-training planned for later; outputs are sequences of cursor and keyboard actions. [1] [1]

Hark's Terms of Service (terms text, not hands-on testing) state that it can perform scheduled and proactive tasks and store login credentials and payment information; by default it asks for confirmation before spending money or sending messages to others; users are responsible for actions they authorize. [2]

Limitation: hark.com's product area requires login (hark pro); unverified without login and without payment. A research preview is not the current product in full.

xAI's official announcement presents Grok Bot as a standalone product (not the regular Grok chat), released in beta; the official docs say each Bot runs on a persistent cloud computer (browser, filesystem, terminal, hosted on Cursor's cloud infrastructure); Bots under the same account share one computer, with the official note to treat anything placed on it as visible to every Bot; when a website blocks automation or requires a human step, the Bot hands it back to the user. [3] [4]

Per OpenAI's Learn documentation, Dots is an always-on agent powered by GPT-6 Astra, with its own cloud computer and browser, able to keep working after your devices are off; before an action affects your accounts or shares information, an automatic review decides — proceed, require approval, or hand back to the user; website sign-in uses a private form and credentials never enter the conversation; rollout is gradual and each connection needs individual authorization. [5] [7] [5] [6]

Meta's official page describes Muse as a personal AI agent: the site states "persistent, isolated Linux computer with full browser"; it keeps working in the background after the app is closed; sensitive actions require prior permission, which can be set to once / always / deny rather than asking every time. All of the above are vendor descriptions, not independent security validation. [8]

All four vendors say "give the AI a computer," but the four computers are not the same kind of computer. The difference decides three things: how much context is remembered, where recovery starts when something breaks, and where permission boundaries are drawn — more worth reading than benchmarks.

Per-request allocation vs. persistent environments: Hark officially describes a dedicated virtual computer per request; Grok Bot, Dots, and Muse describe persistent computers (Grok Bot shares one per account, Dots keeps state between uses, Muse stresses persistent). Each computer's lifespan and cleanup policy are unverified in public materials; no inference is made.

The object of isolation needs checking: Meta's site uses isolated for its Linux computer, while xAI's official docs say Bots under one account share a computer. These are not on the same dimension — the former does not say between which parties isolation holds, the latter concerns Bots within one account. Comparisons should check each vendor's stated isolation scope rather than ranking them directly or drawing unevidenced conclusions for them.

Where the human sits: all four keep a "human must be present" step, at different granularities — Dots has three levels (proceed / approve / hand back), Muse allows presetting once / always / deny, Grok Bot hands back anti-bot and human-verification steps wholesale, and Hark's terms set spending money and messaging others as default confirmation lines. Agent competition in 2026 is no longer just "can it automate," but "at which points must it stop and ask."

1. What converges is the interaction form, not a proven architectural isomorphism. All four put the agent inside "a computer" — a convergence of public descriptions. How it is implemented underneath, whether performance is comparable, how security models differ — without internal implementation evidence, no conclusions; likewise, no evidence supports "plagiarism" claims, nor can the absence be proven in reverse. No unevidenced inference about causes.

2. Where APIs don't reach is one of the agent's available spaces. Many websites have no public API, or APIs far weaker than what their pages can do (per vendor descriptions); human-like operation is one available path to fill the gap — connectors, dedicated integrations, and hybrid flows are paths too. Which path wins depends on the task; no single answer should be presumed. For readers judging whether an agent deserves trust: first look at how it handles work beyond APIs — does it push through at all costs, or honestly hand back?

3. Permission granularity is the actionable difference. Dots' tiered approvals, Muse's once / always / deny, Grok Bot's "hand back to the user," Hark's default confirmation lines in its terms — four different answers to "who decides." These mechanisms are not mutually exclusive; selection need not be either-or. Three questions to ask: does it ask before touching my accounts, once or every time, and can I audit afterwards? Benchmarks cannot answer these.

4. Vendor descriptions are not acceptance reports. This piece obtained no independent audit evidence for any vendor; all four vendors' approvals, isolation, and logging are self-descriptions. "Authorized background operation" and "unsupervised full automation" are two different things — the former describes product capability, the latter still needs a supervision chain. Before procurement, verify: can approval records be exported, where are credentials stored, is there third-party assessment — that homework belongs to the buyer, not to this article.

5. Advice for selectors. Individual users: check whether "how often it asks" is configurable. Team leads: note whether one account shares an environment (as with Grok Bot's shared computer). Enterprise buyers: put approval auditability, credential storage, and third-party assessment on the verification checklist before talking price.

Handoff's real-task completion rate and failure modes;

Independent audit results of the four vendors' permission mechanisms;

Each product's current feature set and pricing (Hark requires login to verify; the rest per official pages).