Featured project
BlockPrincipal content designer2026
Content risk classification engine
Data governance and semantic analysis
Designed and implemented an AI-driven classification system that analyzes internal content standards documentation and assigns priority levels (critical, high, medium, low) to individual sections. This system enables downstream AI writing tools to distinguish between rigid requirements and flexible guidance, improving both compliance and output quality.
Key outcomes
- →Reinforced regulatory requirements for non-writers
- →Increased generation flexibility by allowing non-critical guidance to be applied more adaptively
- →Established a foundation for AI governance by operationalizing policy into machine-readable logic