Automating the screenplay : the creative and technical viability of AI in screenwriting.

This thesis investigates the effectiveness of generative artificial intelligence (AI) in screenwriting through the development and evaluation of a custom AI-assisted framework. Employing qualitative research methods, guided by George Kozmetsky’s creative and innovative management loop, the study assesses existing AI-driven screenwriting tools, highlighting limitations in iterative refinement, narrative coherence, and dialogue generation. To address these shortcomings, a novel framework integrating AI agents, structured prompt engineering, and advanced memory retention techniques is proposed and implemented. Comparative analysis demonstrates that this innovative approach enhances AI's capabilities as an interactive, collaborative storytelling partner, offering substantial improvements in narrative depth, character consistency, and emotional authenticity. The findings provide valuable insights into optimizing AI-driven screenwriting practices, underscoring AI’s emerging potential to augment human creativity in screenwriting.

Name thesis:degree_name

M.A.

Level thesis:degree_level

Masters

Grantor

Baylor University.

Year dc:date.issued

2025

Author dc:creator

• Jansick, Elle G. (Eliana G.), 2003-

Advisor dc:contributor.advisor

• Korpi, Michael Frank.

• Screenwriting.
• Artificial intelligence (AI)
• Effectiveness.
• Research framework.
• Comparative analysis.

Statement dc:rights

• Baylor University works are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/2104/13748

OAI identifier oai:identifier

oai:baylor-ir.tdl.org:2104/13748