Yes. AI can summarize many tabs at once when you give it a decision to answer.

Start with a bounded question, not every tab in the window.

A browser full of tabs usually contains three kinds of material: evidence, background, and pages you opened by accident. Pick the pages that bear on one question, such as whether a market is moving to usage pricing or which vendor meets a security requirement.

Ask Strawberry to use only that set. A clear boundary prevents a persuasive but unfocused digest from becoming the answer by default.

Ask for the document you need next.

The output should match the work that follows it.

A product team may need a launch comparison; a buyer may need a two-page recommendation; an executive may need six confirmed facts and three risks.

Strawberry can organize the material into that shape while keeping the underlying tabs available for inspection. That is different from receiving a long chronological paraphrase that still leaves the reader to make the decision.

Keep the claims traceable to the pages that support them.

Several tabs can agree for weak reasons, and one overlooked primary source can change the conclusion. Tell Strawberry to identify the source page behind each material claim and to mark an inference as an inference.

That lets a reviewer jump directly to the evidence instead of trusting a summary because it sounds complete. It also exposes when a claim appears only once or when the sources genuinely conflict.

Reuse the research frame when the sources change every week.

A weekly market scan should not require rebuilding its method from scratch.

Save the source list, inclusion rules, evidence standard, and report shape as a skill once the first run is useful.

A routine can then prepare the recurring brief on a schedule. The routine gathers and structures the material; your team still decides what the changes mean.

Frequently asked questions