AI-generated video has made headlines for years with stunning visual breakthroughs. Yet in reality, most of these solutions struggle when deployed at scale in actual production environments.

The disconnect is clear: many AI video platforms prioritize visual spectacle during demos rather than focusing on consistency and reliability.

The problems compound quickly. Frames drift between shots. Lighting conditions suddenly shift. Product details morph unexpectedly. Brand logos don't stay where they should be. This works fine in promotional clips and concept videos.

But the moment you need production-grade accuracy—like in e-commerce product photography, digital advertising campaigns, or commercial content—these tools fall short. The inconsistencies become glaring, and the costs of manual correction often exceed the time saved by automation.

The real challenge isn't creating impressive single frames. It's maintaining frame-to-frame stability, predictable lighting, and precise product representation across entire sequences.