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When:
September 30, 2026 @ 10:00 am – 10:50 am
2026-09-30T10:00:00-05:00
2026-09-30T10:50:00-05:00
Where:
Johnson Large Theater
Contact:
Emmie Whorton
Join Professor Nathan Adam for a discussion on how AI was used to adapt Matt Jackson’s historical novel Cost of Valor into two distinct film trailers by moving away from random generation toward a rigid, multi-model workflow. This session reveals the step-by-step pipeline used to convert raw source text into two very different AI short films.
Attendees will also gain a practical understanding of how AI is impacting the film production process.
Why 85% of AI Video is Trash (And How to Master “The Slop Factor”): Discover why the final cut of a professional trailer uses only 15% to 20% of generated footage, and learn frame-by-frame curation techniques to scavenge that single perfect second out of failed generations
Tricking the Guardrails (Bypassing AI Content Censorship): How to navigate aggressive safety filters on military combat and weapons by switching from explicit action prompts to atmospheric “implied action”—using tracer streaks, muzzle flashes, and heavy camera recoil to create high-stakes action without triggering bans
The Audio-First Secret: Why starting with visuals is a trap, and how locking an audio foundation—combining Suno percussive tracks, voice synthesis, and DaVinci AI stem isolation—creates an unbreakable rhythmic backbone for editing
Killing the “Morphing Face” Problem: How building a custom prompt “Bible” and reusable asset sheets guarantees that pilot characters, M16 rifles, and UH-1H Huey helicopters remain visually identical across every scene transition
Workflow Over Magic Prompts: Why AI didn’t make this trailer—the workflow did. Learn how to transform raw text from a 20,000-word historical book into a repeatable, multi-model production pipeline