This section documents how AI is used as a creative and analytical tool across this body of work. These case studies focus on process rather than spectacle, examining prompt design, iteration, constraint, and editorial judgment across visual, narrative, and systems-based work.
AI is not treated as an author, oracle, or shortcut, but as a bounded instrument shaped by human intention, limits, and care.
Featured Case Studies
Areas of Exploration
The case studies collected here span multiple disciplines, unified by a shared emphasis on structure, intention, and restraint.
- AI-assisted visual storytelling
- Prompt architecture and iteration systems
- Narrative collaboration and voice control
- Editorial refinement and finishing workflows
- AI as support for long-form, slow creative work
Method & Approach
Each case study documents not only outcomes, but decisions — what was attempted, what failed, what was refined, and why certain choices were made. Emphasis is placed on constraint, human judgment, and post-generation editing rather than raw output.
Where relevant, prompts, variants, and process notes are included as artifacts, not instructions.
These case studies are living documents. As tools evolve, the emphasis here remains the same: intention, limits, and the human judgment that gives systems meaning.
Scott Bryant 