I am working on LoomaDesign, an AI product visual tool for ecommerce sellers. https://loomadesign.ai/ One product decision keeps coming back: image generation is not enough for ecommerce. A general image model can create a nice product scene. That does not mean the image can be used on a product page. Ecommerce images need a QA layer because the buyer is using the image as product evidence. The QA layer has to answer a different set of questions from a normal creative review. Does the product shape still match the SKU? Did the label change? Did the color drift? Does the scene make the product look larger than it is? Did the generated image add a prop that looks like it ships with the product? Is the image sharp enough after upload? Does the crop still work on mobile? These are not edge cases for ecommerce. They are the normal failure modes. Why I think QA belongs inside the workflow Many AI tools treat product images as a prompt-to-output problem. Upload a product, choose a style, generate, export.…