AI Content Tool



Connecting planning, drafting and editorial review
I built AI Content Tool as a structured system where content planning, product context, drafting, and editorial review form a connected workflow rather than uncoordinated manual tasks.
Enforcing source context and editorial review
Addresses the gap between raw AI drafting and dependable marketing output. The tool ensures drafts are grounded in verified product context and requires human editorial approval before publishing.
Four operational layers from brief to distribution
Drafting prompts are grounded in verified product context and explicit guidelines before generation begins.
Topics are organized hierarchically so canonical research branches systematically into articles, briefs, and channel assets.
Multi-stage review states (Draft → In Review → Approved → Published) enforce human validation before content goes live.
Monitors keyword positions and search intent coverage to align content with organic search visibility.
Operating principles derived from product development
Operational Workflows Matter Most
In content operations, repeatable workflows and verified source context create far more reliable results than prompt tinkering.
Tool Building Informs Marketing Ops
Developing internal tools clarifies the exact friction points in editorial planning, review, and publishing.