An agentic browser can read pages, work across tabs, and use connected apps to finish browser work with you.
The short answer
A normal browser gives you pages. A chatbot gives you answers. An agentic browser connects the two: it can understand what is open, move through a multi-step task, and produce the result inside the tools where the work already lives.
That does not make every click worth delegating. Normal browsing is still faster when you know exactly where to go, and a chat assistant is often better when the entire job is thinking or writing from material you already supplied.
Where it becomes useful
The useful jobs usually cross several pages or systems. Think of researching a company, checking the CRM, preparing a meeting brief, drafting a follow-up, and proposing the right record updates. The result matters more than any individual click.
Strawberry works in the browser sessions you already use. It can combine page context with approved connected apps and reusable Official Skills, while consequential actions remain visible for review.
- Research that ends in a sourced brief, spreadsheet, or deck.
- Recurring admin that moves between inboxes, calendars, project tools, and documents.
- Sales, recruiting, or investment work where live web evidence must connect to internal context.
- A workflow that becomes worth saving as a custom skill once the first result is accepted.
What it should not do
An agentic browser should not invent missing facts, quietly send messages, bypass access controls, or pretend a blocked page was completed. Good automation keeps sources, uncertainty, approvals, and the current state of the work easy to inspect.
Start with one concrete result and review it. The browser can take on more only after it has learned what good looks like for you.
Look at the tabs I have open, tell me what outcome you think I am working toward, and propose one useful next step. Do not take external action until I approve it.