Marketing teams are under constant pressure to produce more content, faster, but AI tools can't replace the human judgment that makes a story resonate.

This session introduces a practical storytelling framework — built on central questions, theme, and change over time — that shows how to apply AI at each stage of content development: prompting, drafting, editing, atomization, and versioning, while keeping a human in the loop for quality and originality.

Marketing leaders will leave with a repeatable process for turning one piece of content into many, and a clear-eyed view of where AI genuinely saves time versus where it introduces risk.

After this session, you’ll be able to:

• Learn to distinguish a topic from a theme and apply the "change over time" test, so you can quickly diagnose why a piece of content isn't landing and fix it before it publishes.
• Apply a five-prompt sequence for turning one asset into 20+ derivative pieces (social, email, blog, video scripts), cutting content production time without sacrificing voice or accuracy.
• Implement a versioning framework (the "LEGO approach") for adapting one core asset across industries, departments, geographies, and company sizes — multiplying reach from a single investment.
• Use a concrete quality-control checklist (prompt strategy → draft → grammar/clarity pass → plagiarism/AI-detection check → human read-through) to catch AI hallucinations and off-brand tone before content ships.