Your AI companion for Google Gemini.

Start with the evidence already inside Google Gemini.

Google Gemini holds signals that are easy to see individually and hard to turn into an operational decision when they are spread across screens, date windows, and records. Strawberry can read the Google Gemini view you select and organise the relevant research-review facts before someone starts changing things.

Put the surrounding context next to the Google Gemini work.

A meaningful Google Gemini review often requires the brief, source file, customer history, technical notes, or policy that lives somewhere else. Strawberry can bring those materials into one Google Gemini checkable pass, so the proposed research-review next step is based on the real operating context.

Turn exceptions into an owned next step.

A flagged research-review issue is only useful when someone can see what happened, why it matters, and what requires their decision. Strawberry can prepare an internal handoff, checklist, or draft from the selected Google Gemini context while leaving the consequential action for review.

Keep the recurring AI-workspace research review consistent.

A recurring research-review pass works best when the scope, comparison window, and exception rules are fixed before it runs. Save the reviewed Google Gemini review as a skill. Then set a routine for the cadence the team actually needs, so each pass produces comparable work rather than a fresh improvised scan.

Frequently asked questions