For a while, most outputs felt like interesting demos. Recently, models like Seedance have become much stronger at motion, consistency, and prompt adherence, to the point where AI video is starting to feel usable for real production workflows (ads, social clips, product content), not just experimentation.
That shift is why I built Veemo.ai: a workflow layer to actually use these models efficiently.
Veemo combines text-to-video, image-to-video, and video-to-video in one place, supports multiple models (including strong newer ones like Seedance), and is focused on fast iteration rather than one-off generations.
Iām especially interested in feedback from people using AI video in real work:
- What still makes these tools hard to trust?
- Where do you lose the most time in the workflow?
- What would make you pay for a tool like this?
Happy to answer questions about reliability, model tradeoffs, and pricing.
Hi HN ā AI video feels genuinely different now.
For a while, most outputs felt like interesting demos. Recently, models like Seedance have become much stronger at motion, consistency, and prompt adherence, to the point where AI video is starting to feel usable for real production workflows (ads, social clips, product content), not just experimentation.
That shift is why I built Veemo.ai: a workflow layer to actually use these models efficiently.
Veemo combines text-to-video, image-to-video, and video-to-video in one place, supports multiple models (including strong newer ones like Seedance), and is focused on fast iteration rather than one-off generations.
Iām especially interested in feedback from people using AI video in real work: - What still makes these tools hard to trust? - Where do you lose the most time in the workflow? - What would make you pay for a tool like this?
Happy to answer questions about reliability, model tradeoffs, and pricing.
I tried to use your platform but immediately faced a pay wall so gave up.