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Creating efficiencies in content craft & quality with AI
Creating efficiencies in content craft & quality with AI
Using Claude code, Copilot CLI, and Visual Studio, I built this content reviewer tool to audit both live Teams code as well as pre-launch code (in Figma) for style, UI, accessibility, and voice and tone issues.
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Scales existing knowledge to work smarter
Scales existing knowledge to work smarter
CRiTr scans the latest repo (uploaded to your local drive) and pulls up a report of style-related issues in order of severity. Pulling from the Microsoft Unified Knowledge Base repository in GitHub, it assesses the style issue and then points to the Content Design MCP server to suggest a rewrite.
Batch reports enable quicker fixes
Batch reports enable quicker fixes
Users can accept the suggestion, make their own edits to save as a report to fix in bulk, or they can make edits directly in code by clicking on the line link.
Impact:
Impact:
Content designers have more time to focus on content engineering and strategy.
IxDesigners and PMs can self-serve to ensure they're launching quality UI.
Allow eng to focus on more strategic work while UX makes the fixes themselves.
The tedious task of audits becomes much more manageable.
Update:
Update:
In the process of developing this tool as a skill for the org-wide Content Design agent so that it can be utilized by any product team–not just Teams.
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