The Four-Pillar AI Content Workflow: Context, Live Data, Style, and Knowledge Graphs
Most AI content fails not because it is badly written but because it is generic and nobody ever finds it. This is the concrete four-pillar system — context engineering, live search data over MCP, style skills, and knowledge-graph gap analysis — built on Claude Code with real config you can paste in today.