> For the complete documentation index, see [llms.txt](https://docs.walnutai.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.walnutai.ai/core-features/intelligence-hub.md).

# Intelligence Hub

The **Intelligence Hub** serves as the central workspace of the WalnutAI platform, enabling you to generate structured user stories and test cases from multiple input sources. Whether you're working with requirement documents, design files, code repositories, automation frameworks, multimedia content, or live application workflows, the Intelligence Hub leverages AI to transform them into actionable project artifacts while maintaining traceability across the software development lifecycle.

From this module, you can perform the following key activities:

* **Document-Driven Generation:** Upload requirement documents such as BRDs, FRDs, SRS, or spreadsheets to automatically generate structured user stories and comprehensive test cases.
* **Multimedia Requirement Extraction:** Import audio or video recordings of client meetings, product demos, or requirement discussions to extract functional requirements and generate corresponding user stories and test cases.
* **Design-Based Generation:** Connect Figma projects to analyze design frames and generate user stories and test cases directly from UI/UX designs.
* **Code Repository Analysis:** Integrate GitHub, GitLab, or Bitbucket repositories to derive functional requirements and generate user stories and test cases based on the application's source code.
* **Automation Framework Import:** Import existing Playwright automation projects from Git repositories, ZIP archives, or script files to generate documentation and test artifacts from automation assets.
* **Live Workflow Recording:** Capture real-time user interactions through Smart Recording and automatically convert recorded application workflows into structured and executable test cases.