AI Case Studies

This archive collects process-driven examinations of how AI is used as a creative and analytical tool within this body of work. Each entry documents decisions, constraints, iterations, and refinements across visual, narrative, and systems-based projects. These posts are best read as working records — showing not just outcomes, but how intention and human judgment shape the final result.

This section focuses 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.