
Trustworthy AI Content Through Information Quality

I help writers and organizations provide organized information to generative AI through context packages
I translate data quality concepts into AI readiness strategies for technical and business teams.

I bring data quality expertise to AI reliability.
My library science background (MLIS from Simmons University) and 5+ years of QA experience taught me how to evaluate sources, audit outputs, and organize information - the foundations I apply to building AI context packages.
I've written about data trustworthiness for DATAVERSITY, KnowledgeOwl, and The Training Associates, using this methodology in my own work with Lex.AI.
I also write data quality and governance content for technical and educational publications.
Michelle P. Knight: Content That Accelerates ROI
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