Videos are a beautiful way to share our lives, ideas, stories, and emotions. Recent generative models (e.g. SORA) can generate photorealistic short videos. However, they remain far from being able to create complicated artwork (e.g. films) that requires more human creativity due to the huge gap between human mental representations on control signals and computer representations on pixels, timestamps. To address this challenge, I design controllable and reliable tools to bridge this gap such that creators interact with the tool with conceptual-friendly control signals and produce desired content in a more efficient way. Each module in the tool is reliable and explainable, which allows the creators to input their intentions, get their expected outputs, and know what happened within it. This allows creators to make iterative improvements in the video creation process rather than numerous trial-and-errors.