AI-Powered Script Generation for Advertising

Challenge

Before engaging Elastik Teams, the client relied on manual script generation for their advertising platform. This process was time-consuming, required significant human effort, and often led to inconsistencies in script quality. The client sought an AI-driven solution to automate script creation, ensuring faster turnaround times, improved consistency, and scalable script production. 

Business Impact: 

The inefficiencies in script generation led to delays in video production, increased operational costs, and inconsistencies in script quality. This not only impacted project timelines but also affected client satisfaction and revenue potential. 

Our Solution

Implementation: 

 Elastik Teams developed a customized AI Wizard with an enhanced user interface (UI) that integrated historical scripts and client briefs to train a large language model (LLM). This enabled the AI to replicate script patterns preferred by the client, automating script generation while maintaining consistency and efficiency. 

Key Features: 

  • Brief and asset uploads 
  • Automated script generation with dynamic prompting 
  • Downloadable scripts in structured formats 
  • System prompts for tone and style consistency 
  • Secure file handling and storage 
  • Tabular script formatting for structured outputs 
  • Welcome message and improved error handling for enhanced user experience 

Innovative Aspects: 

  • AI-powered script automation tailored to the client’s preferred style 
  • Dynamic prompting for consistency in script quality 
  • Structured tabular outputs for easier script organization 
  • Automated script iterations for different target audiences 
  • Seamless file management to improve workflow efficiency 

Results & Impact

Performance and Client Feedback: 

 The AI-driven solution improved the script generation process compared to the manual method. However, when fine-tuning was revoked, the client felt that similar results could be achieved using ChatGPT. Since this was a Proof of Concept (PoC), the cost-saving benefits remain uncertain. 

Challenges Identified: 

  • The AI model struggled to generate high-quality scripts with a limited dataset. 
  • Fine-tuning with video transcripts presented additional complexities. 
  • The client questioned whether the AI model could generate effective scripts with varying data types. 
  • Additional script versions were seen as a potential enhancement. 

Conclusion: 

 While the AI Wizard showcased automation potential, further refinements in data training and fine-tuning methodologies are needed to fully meet the client’s expectations. The project provided valuable insights into AI-powered script generation and set the stage for future improvements in automated content creation. 

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