Many people think that AI products are simply about connecting to a model API and generating images/videos. However, the most difficult part isn't the model itself, but rather making the entire process stable, controllable, and scalable. For example: Even with the same "video template," the quality of input photos from different users can vary greatly—lighting, angle, clarity, face occlusion, group photos… all affect the final result. Therefore, I had to implement many "product-level safeguards": When users don't input a description, use default suggestions to ensure stable video output. When users input a description, limit length/sensitive words/unreasonable requests to prevent generation failures. Failures must be retryable, problem-solving mechanisms must be available, and a points refund/compensation mechanism must be in place (otherwise, users will quickly churn).
I discovered that "parent-child/baby" content has a natural power to spread on social media platforms—whether it's cute, funny, heartwarming, or topics like "what will the future baby look like?", people can't help but click, comment, and share.