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Step 5 - Optimize Context Windows In SQAI

Understand how to optimize AI accuracy by managing your Context Windows. This article explains when to keep data in a single workspace versus when to split it, ensuring your AI agents remain focused and don't "blend" unrelated project data.

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SQAI supports unlimited integrations, but the accuracy of your AI agents depends on how coherent your data context is.


When you connect multiple, unrelated Jira projects or Confluence spaces into one workspace, the AI starts blending terms, requirements, and test cases that don’t belong together.

Think of a workspace as a dedicated “AI environment” for one product or domain.
The more distinct projects you combine, the harder it becomes for the AI to differentiate them.

Keep everything in one workspace when:

  • All tools relate to the same product or application.

  • Teams share one documentation source and workflow.

Consider splitting workspaces when:

  • You have several Jira or Azure DevOps projects for different clients or departments.

  • Documentation and testing processes differ across tools.

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