Course 16
AI Studio
Master the AI image-enhancement pipeline — from enabling it on your organization to uploading photos, classifying each shot, tracking jobs through the processing queue, reviewing outputs, requesting revisions, and sharing results with clients via a public link.
What Is AI Studio
Understand what AI Studio does, who can access it, and how the pipeline works end-to-end before you create your first project.
Creating a Project
Walk through the three-step upload wizard — naming the project, uploading photos, and advancing to classification — from the AI Studio homepage.
Classifying Your Images
Learn how to label each photo with its environment, season, and furnishing state so the AI pipeline applies the contextually correct workflow to each shot.
Reviewing Project Outputs
Navigate the project detail page to monitor processing status, preview and download AI-generated videos, and understand what each job badge means.
Requesting Revisions
Use the revision dialog to give the pipeline targeted feedback on a completed output and receive a regenerated result, up to three times per video.
Sharing Results with Clients
Generate a public share link for a completed project and learn how to copy, send, and revoke it.