> For the complete documentation index, see [llms.txt](https://docs.rasgoml.com/rasgo-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rasgoml.com/rasgo-docs/using-rasgo/ai-readiness-score.md).

# AI Readiness Score

The AI Readiness page in AI Manager provides a comprehensive analysis of how well AI understands your activated datasets.

<figure><img src="https://1589116401-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MJDKltt3A57jhixTfmu%2Fuploads%2FvJ9vuilNoLKTr32AVI2u%2FScreenshot%202024-02-27%20at%207.04.35%E2%80%AFPM.png?alt=media&amp;token=2efba4b6-07e2-457d-afd4-a6ecfb96e46d" alt=""><figcaption></figcaption></figure>

## AI Readiness Score Calculation

The score considers both notes and column descriptions.

Here's the formula:

50% Column Descriptions:

* The percentage of your columns that AI has a confident or human reviewed description for

50% Dataset Notes

* A weighted score of coverage across all 3 notes categories for each activated dataset