Use cases
How the framework shows up in real workflows
The same QA framework, applied to three different pain points. If you recognize your workflow below, that's the starting point.
New addendums and audiences land here as they emerge. If your workflow isn't represented yet, that's usually an invitation to talk.
Creators & their clients
Core frameworkObjective acceptance criteria
Stop arguing about whether the AI output is good enough. Score the deliverable against agreed thresholds and ship the scorecard alongside it. Both sides see exactly what passed, what didn't, and why.
- Subjective sign-offDocumented pass / fail
- Scope-creep argumentsThreshold-anchored revisions
- “It looks off”“Frame 47 failed identity at 0.78”
Studios & high-volume pipelines
Core frameworkAutomated batch vetting & culling
Score every generation in a batch automatically. Reject obvious failures — wrong codec, severe artifacts, identity drift — at the gate, before they ever reach a reviewer. Humans see only the assets worth their time.
- 1,000 generationsThe 50 worth reviewing
- Manual triageAutomated gating
- “Something looks bad”Frame-level flags with bounding boxes
Print-on-demand operators
Addendum v2.1Print-specific QA for AI-generated designs
CMYK gamut, ink coverage, transparency edges, pre-generation input validation, and garment placement safety. Catches the failures that look fine on screen and look terrible on the shirt.
- Vivid on screenIn-gamut on fabric
- Sharp at 1024pxSharp at 12 inches
- Clean cutout previewNo halo on the print
Don't see your workflow?
Pilot inquiries welcome
New workflows are added as they emerge. If you're dealing with AI deliverable friction and don't see your situation here — VFX, game cinematics, architectural visualization, music video, or anything else AI-assisted — that's worth a conversation.
Get in touch