Like many of you, I’ve tried a bunch of tools — text-to-video, image-to-video, etc. Most of them are impressive at first, but once you try to actually use them in a workflow, things start to break:
inconsistent characters
poor motion continuity
too many re-generations just to tweak small things
feels more like a demo than a real tool
It’s based on the Wan 2.7 model (from Alibaba’s Tongyi Lab), and it feels a bit different from the typical “prompt → random video” tools.
Some things that stood out to me:
Instead of hoping the model gets the story right, you can actually define how a scene starts and ends — and let the AI fill in the motion in between.
This makes it feel more like directing than prompting.
You can lock a character (face, clothing, etc.) and reuse it across multiple videos.
This solves one of the biggest problems in AI video — identity drift across frames.
Instead of re-running the whole generation, you can say things like:
“change background to beach”
…and it updates the video directly.
This alone saves a ton of iteration time.
It seems especially strong for:
short-form ad creatives
product videos
“AI spokesperson” style content
fast A/B testing for marketing
Which makes sense — the whole idea is replacing parts of traditional video production (crew, shooting, editing).
AI video is finally moving from:
“cool demo”
to:
“maybe usable in production”
…but we’re still not fully there yet.
The biggest shift I’m noticing is control.
Earlier tools focused on “generation quality.”
Newer ones (like this) focus on controllability + iteration speed.
And that’s probably what matters more for builders.
Are you actually using AI video in production yet?
What’s still blocking you? (quality? cost? workflow?)
Any tools that actually stuck in your stack?
Would love to compare notes — feels like this space is moving insanely fast right now.