An agentic browser can carry work across the websites where it starts and ends.

It can turn scattered browser context into one answer.

A customer question may require the email thread, the account page, last month's proposal, and the product-status tab. A normal chat window only knows what you paste into it; a browser agent can work from the context you direct it to inspect.

Strawberry can read the relevant tabs and assemble the facts into a brief, checklist, decision memo, or reply draft. It is not magic context: tell it which pages matter and what the finished answer needs to contain.

It can research the work that does not live in your tools.

A new competitor, prospective customer, vendor, or candidate often requires public research before anyone can make a sensible move. The bottleneck is not opening a search page; it is reading enough primary evidence to separate a lead from a conclusion.

A companion can search, open sources, compare claims, and present a source-backed synthesis. It can also say where evidence is missing, which keeps a fast research pass from becoming a confident guess.

It can prepare work inside the tools you already use.

The result of research is often not a paragraph.

It is a prepared CRM update, a support escalation, a meeting follow-up, a draft document, or a task for someone who needs to act.

Strawberry can work across connected apps and the browser workflows you authorize to prepare these outcomes. You can ask it to show the proposed changes first, which gives the accountable person a chance to correct context or decide that no action should happen.

It can repeat the preparation without repeating the busywork.

If the same weekly pipeline review, competitor check, or inbox pass follows the same rules, you should not have to explain the method from the beginning every time. The useful part of an agentic browser is that it can retain a tested work pattern, not that it claims to run everything unattended.

Turn a proven instruction set into a skill and schedule it as a routine when the inputs and review point are stable. Use approval controls for the steps that affect people, public channels, money, permissions, or durable records.

Frequently asked questions