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Feature releaseVisual quality control

Virello can see images—and checks posts before approval

Virello analyzes submitted and generated images from their actual pixels, confirms ambiguous edits, and corrects visible defects before a social media post reaches approval.

Published on September 14, 2026#Visual quality control#WhatsApp#Facebook#Instagram
Visual quality control
virello

Virello can see images—and checks posts before approval

Select up to 16 images together in the dashboard and pass the complete set to the marketing agent.
The Main Agent inspects visible image content, proposes a concrete edit scope when instructions are ambiguous, and asks for confirmation before production.
Production workers open binding source images and generated results themselves, detect visible defects, and can inspect targeted corrections again.
Brand analysis reviews complete relevant web pages, selects evidence pages semantically, and accepts detected logos only after a visual plausibility check.
Optimized image previews and automatically generated video posters reduce waiting during review and approval.

What is new with this feature

The concrete improvement and what it changes in your marketing workflow.

01

From file attachment to understood image

A filename or URL does not reveal what an image actually contains. Virello therefore loads relevant customer images and existing post media into a read-only visual analysis. The marketing agent identifies visible subjects, text, quality issues, and elements that should be protected while stating uncertainty instead of guessing. Related photos can be reviewed as one complete set.

02

Confirm first, then edit precisely

When it is unclear whether one photo, an entire carousel, or only a detail should change, Virello first presents a bounded proposal. It names the affected images, permitted edits, and the people, products, materials, or room geometry that must remain intact. Production starts after confirmation—one useful question is better than an expensive edit that misses the real goal.

03

Quality review instead of the first result

A successful AI tool call does not automatically mean a good result. Specialized production workers visually inspect researched references, source images, and generated candidates. They check for changed product features, implausible geometry, unwanted text, broken floors, and edits outside the authorized scope. When a defect can be fixed reliably, they apply the smallest effective correction and inspect the new result again.

04

Faster previews for approval

Everyday review is faster too: images load as compact, permanently cached WebP previews while the high-resolution original remains available for publishing. New videos automatically receive a poster extracted from the final clip. Older videos show a clear loading state and an early first frame instead of a long black screen. Questions also remain fully readable in both the conversation and WhatsApp.

01

Select up to 16 images together in the dashboard and pass the complete set to the marketing agent.

02

The Main Agent inspects visible image content, proposes a concrete edit scope when instructions are ambiguous, and asks for confirmation before production.

03

Production workers open binding source images and generated results themselves, detect visible defects, and can inspect targeted corrections again.

04

Brand analysis reviews complete relevant web pages, selects evidence pages semantically, and accepts detected logos only after a visual plausibility check.

05

Optimized image previews and automatically generated video posters reduce waiting during review and approval.