The Tool Desk
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What counts as an AI browser “doing the clicking”?
An assistant that summarizes a page is not necessarily controlling it. A browser agent takes actions that can change what is on screen or entered into a site: it may navigate, search, click controls, fill fields, or select options. The important test is the resulting state—not whether the agent narrates a plausible plan.
OpenAI describes its Computer-Using Agent as interpreting screenshots and operating a virtual mouse and keyboard. Its documented action loop includes clicking, scrolling, and typing, and it can navigate sites and fill forms; the system may ask the user for input at sensitive steps. That is OpenAI’s description of its system, not proof that every browser agent has the same controls or capabilities. OpenAI’s Computer-Using Agent overview
What published benchmark results do—and do not—show
OpenAI’s 2025 Computer-Using Agent evaluation reports different success rates on three benchmarks. These are results for OpenAI’s evaluated system under each benchmark’s setup, not success probabilities for all browser agents or predictions for an individual errand.
| Benchmark | OpenAI-reported result | What it measures and how to read it |
|---|---|---|
| OSWorld | 38.1% success | A computer-use benchmark; it is not a consumer-errand success rate. |
| WebArena | 58.1% success | A web-agent benchmark. OpenAI says the system still needs improvement on the more complex tasks in this benchmark. |
| WebVoyager | 87% success | A live-website browsing benchmark. OpenAI describes its tasks as relatively simple. |
OpenAI says it does not expect reliable performance in every scenario. A benchmark pass also does not establish that an agent completed a real purchase, booking, or other consequential workflow correctly. OpenAI’s benchmark and evaluation description
Information retrieval is a different capability
BrowseComp tests agents’ ability to find hard-to-locate information. OpenAI describes it as a set of 1,266 challenging questions with short, verifiable answers, and says it is unclear how well BrowseComp performance correlates with open-ended browsing by real users. Finding an answer is not the same as entering correct information into a form or completing a transaction. OpenAI’s BrowseComp description
Other comparison coverage is not a hands-on result for this article
AI Multiple says it tested ten AI browsers across webpage summarization, multi-site research, form automation, and cross-tab workflows. It reports that some browsers in its tests could not read the page in view. Those findings offer secondary comparison context, but do not establish how every current product behaves or what would happen in a particular session. AI Multiple’s AI browser selection guide
Which browser agent is a current option?
ChatGPT cloud browser
OpenAI’s current help page describes a cloud-browser experience in ChatGPT. It says this browser is separate from the user’s local browser: it does not use local open tabs, browsing history, saved passwords, cookies, extensions, or existing sign-ins, and maintains its own cookies and sign-in sessions. This describes the cloud-browser experience; it should not be treated as proof that it is equivalent to Atlas or as a comparison with other agents. OpenAI’s cloud-browser guidance
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ChatGPT Atlas is discontinued
OpenAI’s transition notice said Atlas was scheduled to stop working on August 9, 2026. That date has passed, so Atlas should not be presented as a current browser choice. OpenAI also advises users to move to a supported browser experience because discontinued browsers may degrade or stop receiving security updates. OpenAI’s Atlas transition notice
The available evidence does not establish a verified, current ranking of alternative browser agents, their regional or device availability, or their present plan limits. Check vendors’ current support information before choosing a product; do not infer current availability from an older benchmark or comparison.
How to judge whether an agent completed an errand
A useful comparison needs to test the final state, not just the agent’s confidence. Run the same low-stakes tasks under comparable account and session conditions, and record the product and version, date, region and device, starting state, task wording, permissions, elapsed time, interventions, errors or retries, site blocks, and independent verification. A small number of runs can reveal failure modes, but cannot establish broad reliability; repeat tasks when behavior varies.
Compare information across sites
Ask the agent to compare a few facts from at least two public pages and provide links. Open those pages and verify that each cited page supports the corresponding claim. A fluent summary without verifiable support is not a completed comparison.
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Fill a draft without submitting it
Use a public, non-sensitive form or a draft workflow, and explicitly tell the agent not to submit. Inspect every field against the source information. Stop before any action that would send, save, purchase, book, or change an account.
Gather details across tabs
Have the agent collect specified values from two pages into a draft checklist. Verify every value against its original page; note whether it loses track of a tab, confuses sources, or needs correction.
Observe recovery from an obstacle
Use a benign obstacle, such as a changed layout, an unavailable field, or a blocked page. Record whether the agent notices the problem and asks for help, or guesses and proceeds. A blocked site is a real outcome to report, not by itself proof that a product is categorically unusable.
For each task, assess the correctness of the final state, quality and number of user handoffs, error recovery, cross-tab handling, time, site compatibility, confirmation behavior, and exposure of session data. Do not use real payments, bookings, account changes, or sensitive personal information as test cases.
What can go wrong, and how to reduce risk
Review sensitive steps and never hand over secrets in chat
OpenAI says its cloud browser is designed to request confirmation before actions that could create financial, legal, account, or other real-world commitments, such as confirming a booking or making a payment. Its guidance recommends checking website addresses, sign-in previews, screenshots, and confirmation requests. It also says not to paste passwords, security codes, or payment details into the conversation, and cautions that safeguards do not eliminate every risk. Treat confirmation as a checkpoint to inspect—not a reason to approve automatically. OpenAI’s cloud-browser safety guidance
Web pages can contain instructions aimed at the agent
Prompt injection occurs when content on a page attempts to redirect an agent from the user’s request. Perplexity describes this as a browser-agent attack surface and says realistic security evaluation remains understudied. Its proposed approach combines content detection with user confirmation and tool-policy enforcement; that is the vendor’s account of its work, not independent proof that any product is safe. Perplexity’s BrowseSafe discussion
Academic testing found cross-origin risks in specific configurations
A University of Washington research page reports experiments on seven browser-agent configurations in late January and early February 2026 on macOS Sequoia. The researchers report a successful cross-origin data-theft attack on ChatGPT Atlas in Agent Mode. They also report that, if prompt injection succeeds, relevant preconditions for the attack existed in the tested Chrome with Gemini, Claude for Chrome, and Perplexity Comet configurations. The finding is scoped to the versions and experimental conditions studied; it does not establish that every product suffered the same demonstrated attack. The page also discusses risks including reading masked input, potential cross-origin action forgery, and chat-memory poisoning. University of Washington study: Agentic Browsers and the Same-Origin Policy
When to use an agent—and when to take over
- Reasonable for supervised, reversible work: gathering public information, navigating pages, and preparing a draft that you can verify before it is sent.
- Pause for review: when the agent reaches a sign-in, asks for permission, encounters a blocked page, or is about to submit information. A handoff is safer than a guess.
- Keep direct control of consequential actions: inspect the destination, entered details, and final confirmation before any purchase, booking, account change, or other commitment.
The evidence supports a narrow conclusion: browser agents can act through website interfaces, but benchmark performance, vendor descriptions, and third-party comparisons are not a substitute for checking the result of a real task. For current alternatives beyond ChatGPT’s cloud browser, verify availability and test the exact low-risk workflow you intend to use.
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