Strawberry vs ChatGPT Agent

The work worth automating is usually the work sitting behind a login.

Take the job you have been meaning to do since the quarter closed.

Say it is checking that last quarter's forty new hires have the access their role allows, for your IT lead. You open each console in turn. You compare what every person has against what they should have. Then the whole thing has to arrive somewhere your IT lead can act on it.

None of it is hidden. Every console is one you signed into this morning. It is slow because a person has to go and look, one hire at a time.

On a virtual browser in the cloud, each of those consoles is a sign-in that browser does not have. OpenAI documents that it keeps its own cookies and signed-in sessions and does not use your existing sign-ins. ChatGPT agent pauses and prompts you to take control of the virtual browser when a task requires a login. Strawberry opens the same consoles as you and works through many of them at once. Your IT lead gets the forty rows, with the console each answer came from.

Strawberry starts inside the accounts you are already signed into.

Strawberry runs the job in the browser you signed into this morning, on the machine in front of you. It opens your CRM because you are signed into your CRM. The same goes for the analytics account, the internal wiki, and the HR system that only answers to a machine on your network.

OpenAI documents a different arrangement. Cloud browser gives ChatGPT Work its own browser on a separate computer in the cloud, keeps its own cookies and signed-in sessions, and does not use your personal browser's open tabs, browsing history, saved passwords, cookies, extensions or existing sign-ins. It is available on paid plans in supported regions, excluding Free and Go.

Your connected accounts cover 2,000+ integrations, and your own sign-in covers the systems that never built one. Rows arrive in your sheet with the source linked beside each value. The follow-up sits in your inbox as a draft. The ticket is written against the actual record, with the evidence attached.

You decide what each account may be used for when you connect it, not while a task is running.

Most jobs need two or three of your accounts. Almost none of them need all of them.

OpenAI's guidance for agent mode is to enable only the apps needed for the current task, avoid sensitive logins, and clear remote browser data after sensitive sessions.

In Strawberry the deciding happens earlier. An app with more than one permission asks which ones to grant before it is authorized, so an account can arrive able to read and not to send. That answer holds for the sweep you run in January and the one you run in June.

Each AI companion is briefed for one job as well, with its own memory, its own skills and its own instructions. It also has its own model and its own thinking effort. Run one fast for the access sweep at eight, and turn another all the way up for the write-up your IT lead takes into the security review.

You approve anything that changes a live account, and you can edit it before it goes.

Reading a console, drafting a message, sending it and changing a record are four different amounts of risk. Strawberry treats them as four separate decisions.

Every connected action is set to ask, always allow, or off. Let it read every console all morning. Require your approval before anything is written back to an account. An action you switch off never runs, whatever the job asks for.

When something does need approval you get a real editor, not a yes or no box. You see the destination, the recipient, the full text and the attachments before any of it moves. On a reply it shows you the address it resolved so you can correct it, and it never quietly adds the rest of the thread back in.

ChatGPT agent documents user confirmations for high-impact actions, refusal patterns, prompt injection monitoring, and a watch mode requiring user supervision on certain sites. Cloud browser asks for confirmation before actions that are hard to reverse, such as confirming a booking or making a payment.

Work that repeats should run on a schedule, with every run logged and priced.

The access check is not a one-off. It should happen every month, for as long as people keep joining.

Save it once and Strawberry keeps how you like it done. It checks the consoles you trust. It applies your rule for what counts as wrong. It stops where you want to look before it carries on.

Then put it on a schedule, or on a trigger such as a new email arriving. Every run records what it did and what it cost, so last month's check can be read back rather than assumed. OpenAI documents that a finished agent task can be set to repeat daily, weekly or monthly, and managed at chatgpt.com/schedules. Each agent invocation counts against the monthly message limit, including requests that are part of scheduled tasks.

Then hand the whole thing over. An AI companion carries its memory, its skills and its instructions with it. Your IT lead receives a colleague that already knows the check, and runs it under their own admin access. Your team workspace holds the shared files and process, and shared credits cover whoever needs them.

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