01
Why Stories Move People
This opening section explains why accurate stories can still fail, and why AI belongs as a support tool rather than the source of meaning. You learn to separate reports from stories, diagnose flat narratives with Moment, Obstacle, Vulnerability, and Effect, and keep human judgment in charge.
02
The MOVE Framework
MOVE turns story instinct into a practical diagnostic for pitches, case studies, reports, scenes, and any narrative that feels accurate but fails to land. You use Moment, Obstacle, Vulnerability, and Effect to find structural weaknesses, rebuild flat material, and work with AI without surrendering judgment.
03
Finding the Story, Character, and Stakes
Raw material becomes story only when a specific person, obstacle, and human consequence come into view, which matters when reports, datasets, interviews, and cases feel important but inert. By the end, you can find the narrative thread, develop the central character, and make the stakes concrete.
04
Structure, Tension, and Resolution
Structure turns true material into an audience experience by shaping arc, pressure, and release across different storytelling contexts. You learn to diagnose false starts, sagging middles, and unearned resolutions, then use AI to stress-test choices while keeping meaning under human judgment.
05
Storytelling Across Five Contexts
Storytelling changes when fiction, brand, pitch, journalism, and data each impose different licences and obligations. You adapt MOVE by context, diagnose borrowed-technique failures, and brief AI with the permits, demands, and forbids that keep each story fit for purpose.
06
AI as Narrative Partner and Your Storytelling Practice
AI becomes a narrative partner only when judgment, verification, and voice stay with the storyteller, so this final practice connects prompting, safety, authenticity, and habit. By the end, you use PRISM, TRUST, GUARD, and a 30-Day Storytelling Plan to develop defensible AI-assisted stories.