Hi HN — I think AI video is going through a real step-change right now.
Over the past year, the quality jump has been dramatic. Newer models (including ones like Seedance) are getting much better at motion coherence, style consistency, prompt following, and producing clips that are actually usable for real work — not just demos.
That shift is what pushed me to build Veemo.ai.
The problem I kept running into wasn’t just model quality — it was workflow quality:
- too many failed jobs / upload issues
- fragmented tools for text/image/video inputs
- slow iteration loops when testing prompts and settings
- hard to compare outputs and move quickly from “idea” to “usable clip”
Veemo.ai is my attempt to make these stronger AI video models actually practical to use.
What Veemo does:
- text-to-video, image-to-video, and video-to-video in one workflow
- access to multiple AI video models in one place (including strong newer options like Seedance)
- faster iteration loops for prompt tweaks / retries / settings changes
- a workflow designed for creators and teams who need usable outputs quickly (ads, product clips, social content, etc.)
My core belief:
AI video is no longer just “fun tech.” It’s becoming a real production tool — but the UX/workflow layer is still lagging behind the model capabilities.
That’s the gap I’m trying to close.
I’d love feedback from people here who actively use AI video tools:
1) What improved the most recently in your experience: quality, consistency, controllability, or speed?
2) What still breaks your workflow the most?
3) What would make you trust a new AI video tool enough to pay for it?
If you try Veemo and hit bugs/performance issues, I’d really appreciate details (input type, model, browser, error message). I’m here and happy to answer questions about the product, model tradeoffs, reliability, and pricing logic.
Over the past year, the quality jump has been dramatic. Newer models (including ones like Seedance) are getting much better at motion coherence, style consistency, prompt following, and producing clips that are actually usable for real work — not just demos.
That shift is what pushed me to build Veemo.ai.
The problem I kept running into wasn’t just model quality — it was workflow quality: - too many failed jobs / upload issues - fragmented tools for text/image/video inputs - slow iteration loops when testing prompts and settings - hard to compare outputs and move quickly from “idea” to “usable clip”
Veemo.ai is my attempt to make these stronger AI video models actually practical to use.
What Veemo does: - text-to-video, image-to-video, and video-to-video in one workflow - access to multiple AI video models in one place (including strong newer options like Seedance) - faster iteration loops for prompt tweaks / retries / settings changes - a workflow designed for creators and teams who need usable outputs quickly (ads, product clips, social content, etc.)
My core belief: AI video is no longer just “fun tech.” It’s becoming a real production tool — but the UX/workflow layer is still lagging behind the model capabilities.
That’s the gap I’m trying to close.
I’d love feedback from people here who actively use AI video tools: 1) What improved the most recently in your experience: quality, consistency, controllability, or speed? 2) What still breaks your workflow the most? 3) What would make you trust a new AI video tool enough to pay for it?
If you try Veemo and hit bugs/performance issues, I’d really appreciate details (input type, model, browser, error message). I’m here and happy to answer questions about the product, model tradeoffs, reliability, and pricing logic.