JigsawStack lets teams work with AI and data services through a developer-facing workspace. Strawberry can navigate the signed-in pages, organise the requests, documentation, outputs, and account context around a task, and prepare a human-readable handoff for the person shipping it.
01
Make an AI-service task easier to hand off.
A companion can inspect the visible project, API documentation, examples, and task output, then translate the relevant pieces into a concise implementation brief.
02
An example request is not a production plan.
The useful answer often sits across the documentation, the calling application, test data, and the issue that motivated the integration. Strawberry can bring those materials together before engineering commits to an approach.
03
Keep experiments tied to a decision.
Instead of a trail of screenshots and copied payloads, Strawberry can assemble the experiment result, source page, observed output, and next technical question into a record the team can discuss.
04
Review usage before it becomes an unexpected bill.
A weekly account pass can prepare a usage and project-review brief while there is time to adjust tests or ownership. It must not change subscription, keys, or spend settings without a person checking the exact consequence.
Yes. Sign in to JigsawStack in a Strawberry tab and ask for documentation synthesis, experiment notes, project reviews, or an implementation handoff.
No. This workflow uses the JigsawStack workspace you have open in Strawberry. It is designed for the browser work around the page, rather than a separate Settings connection.
It can prepare the JigsawStack work in the tab. Inspect and approve any action that sends a message, changes a record, changes access, or creates cost in that workflow.
Yes. The Strawberry desktop app is available on Mac and Windows, so the JigsawStack browser workflow is available on either platform.
JigsawStack Strawberry