AI video creation feels more controlled with WAN 2.6 on Higgsfield.
Enhanced scene handling, better pacing, and improved animation flow result in videos that look intentional rather than auto-generated.
@higgsfield_ai#Higgsfield
The useful part is shared memory across sub-agents.
If a research loop, a coding pass, and an oncall run can keep the same context for days, long tasks stop dying every time you switch tools.
Your agent already did the work.
It should not die in a chat.
Ask it for a page. Showly is an Agent Artifact Cloud — it gives that artifact a link.
You review it privately. Then you share.
https://t.co/AkrYoLnazt
Screenshot in. Full-page code out in 17s. Then show it the red-boxed pixel diffs, and it diagnoses + fixes them like a senior reviewing marked-up designs. 23% fewer severe defects. This is the loop.
This is the difference between “the model wrote some HTML” and “the model can see its own UI.”
Single-file HTML, no React, no npm. Render locally, screenshot it, mark what’s off, revise.
The second pass getting the input fields and button glow closer is the real demo. Visual closed-loop > longer prompts.