👨‍💻Latent intent understanding

HELP learns and annotate all edits and corrections during this workflow. As we know the latent intent is video editing we can track all actions from the users and annotate them in order for us to train better models and save 90% of the editing time. By understanding the broader context of user actions (latent intent), the system generates high-quality training data. The system also tracks user corrections during the editing workflow, annotating these adjustments to train adaptive models. This closed-loop feedback enables iterative improvements, ensuring clips stay true to the original content while optimizing for platform-specific virality. Our models are then optimized to automate tasks such as video editing and shortening, ensuring they comprehend the full context of the original content.