Limitations and how to get around them

AI video has predictable weaknesses, and a pro does not fight them, but works around them. Typical artifacts (visible defects in the frame): “floating” fingers and extra limbs, crooked text and logos, flickering textures, faces that “breathe” and change, objects passing through each other. The mechanics of the reason: the neural network predicts pixels by probability and makes mistakes most often on complex geometry (hands, letters). Avoidance Levers: Keep problem areas away from the camera or in motion (fast movement masks hand defects), avoid close-ups of hands, and add text separately in editing rather than asking the model. A powerful tool is negative description: list what should NOT be (“no extra fingers, no distorted face, no shaking, no text”). Insider: negativity is often more important than half of a positive prompt - it cuts off the most frequent failures. The second technique is a shorter video and less action: most artifacts grow with time and the complexity of the movement. A common mistake is to generate the same complex frame dozens of times in the hope of luck. It’s quicker to simplify the scene, hide the problem area and add negativity.