Strawberry vs ChatGPT

You should not have to be the courier between your tools and your assistant.

Think about the last piece of work you owed someone.

Say it was building the pipeline review your manager wants on Monday. You need every deal that has gone quiet. You need what was actually promised on the last call with each one. It has to end up in the deck your manager will open.

None of that is hidden. It is in the CRM, in the call notes, in a thread someone sent you in March. It is slow because a person has to go and collect it, one deal at a time.

A chat window cannot start until you have finished collecting. That is the part that costs you the afternoon. Strawberry takes the collecting too. Your AI companion opens the CRM, reads the call notes, checks the files, and works through many deals at once. What comes back is the review, with the source sitting next to every claim in it.

Strawberry works inside the accounts you are already signed into.

Strawberry is the browser itself, so there is no second place for your AI companion to sign in. It reads the CRM in the tab you left open on Monday. It opens the analytics account your login already reaches, and the wiki page nobody has tidied since March.

ChatGPT's cloud browser is a different arrangement. It gives ChatGPT Work its own browser on a separate computer in the cloud, and when a site needs a login you sign in again through its sign-in form and complete two-factor there. It is available on paid plans in supported regions, excluding Free and Go.

Being the browser is also why the number is 2,000+ integrations rather than a shortlist, and why the output has somewhere real to go. The rows land in your sheet with a link to the source on every figure. The follow-up sits in your inbox as a draft. The record update is prepared against the actual record, with the evidence attached.

One assistant with one memory cannot sound like your whole team.

Generic writing is not a model problem.

It is an evidence problem. Ask anything to write a renewal email with no context and you get a paragraph that could be about any customer, at any company, in any quarter.

ChatGPT remembers useful context from your chats, files and connected apps to personalise your experience, and shows you what it holds in a memory summary. That is one assistant, learning one blended version of you.

Your work is not one job. So Strawberry gives you AI companions. You can keep one that knows your customers and writes like you do on a good day. Keep a second that only does competitor research and has read every teardown you have filed. Each carries its own memory, its own skills and its own instructions. What differs is what each one knows and how it writes for you, not which apps it can reach.

You also decide how hard each one thinks. Every AI companion has its own model and its own thinking effort. Run one fast for inbox triage at nine. Turn another all the way up for the board memo at four, without losing the context either of them has built.

Nothing is sent or changed until you have read the actual thing being sent.

An assistant that can only answer never needs your permission.

One that can act needs it action by action, which is how Strawberry is set up.

Every connected action is set to ask, always allow, or off. Reading your inbox and sending from it are two separate settings, so one can run freely while the other waits for you.

You are not approving a plan. You are reading the message that will actually go, and the channel, the recipient, the full text and the attachments are all editable there. On a reply it shows the address it resolved, and nobody is copied in who was not already on your screen. ChatGPT's cloud browser pauses when it needs your input, sign-in, or confirmation.

The work you do once should keep running, and you should be able to hand it over.

Your manager wants the pipeline review every Monday, not once.

The work that matters is nearly always the work that comes back.

Save it once and Strawberry keeps your version of the job. It holds the sources you trust, the rule you use for what counts as gone quiet, and the point at which it should stop and check with you.

Then give it a schedule, or a trigger such as a new email arriving. Every run is logged with what it did and what it cost, so you can audit the work instead of trusting it. ChatGPT can run one-time and recurring tasks too, though a task created in a project cannot access uploaded files or files stored in that project, and event-triggered tasks respond to supported Gmail, Slack or GitHub activity for eligible users.

Then give it away entirely. An AI companion carries its memory, its skills and its configuration to whoever picks the job up. They connect their own accounts and receive a colleague who already knows the job, not a document explaining it. The team workspace holds the files and the process, so your manager still gets the review on Monday when you are away.

Frequently asked questions