I designed a scene-by-scene prompt-generation system that transformed Agent 2 outputs into optimized video prompts for:
β UGC realism
β Character consistency across scenes
β Natural delivery and speech patterns
β Casual TikTok/Reels-native framing
β Better hooks, pacing, and CTA flow
Instead of treating prompt writing as a one-off task, I created a reusable system that can later plug directly into Agent 3.
β‘ Process
1οΈβ£ Analyzed the bottleneck
Reviewed the existing AI pipeline and identified the quality gap in video prompt generation.
2οΈβ£ Built a prompt logic system
Created reusable scene-level prompt templates with consistent character, tone, framing, lighting, and actions.
3οΈβ£ Optimized for realism
Focused on making outputs feel less βAI-generatedβ and more like authentic short-form ads.
4οΈβ£ Tested with final video output
Generated a final UGC-style video using the system to validate prompt quality and consistency.
π§ͺ Result
The final system produced a more realistic and scalable prompt workflow for AI-generated short-form ads.
It improved:
π Natural on-camera delivery
π€ Character continuity
π± Platform-native feel
π Prompt quality for production use
Final Demo
πΌοΈ Suggested visuals / captions
π₯ Final output
Caption: Final AI-generated UGC ad created from the optimized prompt workflow.
π Workflow graphic
Caption: Scraped ad data β structured script β prompt engine β final video.