AI Video's 5 Hidden Flaws & How to Fix Them

Summary

Stop making AI videos that look obviously fake. The key isn't just the AI model, but avoiding five common mistakes that separate pros from amateurs. First, don't start prompting before you have a clear concept and storyboard. A bad prompt like "teenager skateboarding past a retro arcade at sunset" leads to generic results because the AI guesses. Instead, define your subject, action, environment, and desired style, even down to camera angles and lighting. For entire scenes, storyboarding is crucial; use AI to generate a visual storyboard from your ideas, which saves credits and ensures control. Second, avoid the copy-paste trap from LLMs like ChatGPT. While helpful, blindly copying their lengthy prompts often confuses AI and leads to missed actions or inconsistent details. Always add image references and use structured prompts. Third, pros don't write prompts from scratch; they use systems. This includes simple structures like style plus action plus camera, or the more detailed 'Seance' structure: subject, action, environment, style, and audio. Timeline prompting, describing events per second, and JSON prompting are other advanced methods. Fourth, choose the right model for the job. Different AI video models excel at realism, action, or dialogue. Outdated models can hinder quality. Finally, don't stop after generation. Regenerate clips to pick the best parts, add cuts, meticulously refine sound design with separate AI tools or stock audio, and consider upscaling for enhanced quality and texture. These fixes will save you credits and improve your AI video output.