The dirty secret of AI asset production is the review pile. Generation is fast, but someone still has to look at every output, catch the hand with six fingers, notice the missing logo, spot the drift from the brief — and send it back. The bigger your batches, the more that human QA pass becomes the bottleneck, and every discarded generation is Creative Units spent on nothing.
Agent QA turns that review inward. The agent examines its own output against the brief, spots issues, fixes the prompt, and regenerates — before you see the result. And because every run teaches it, the agent wastes fewer Creative Units per usable asset over time: a lower cost per usable asset, compounding. Agent QA is in beta.
Key Capabilities
Review against the brief The agent doesn't just check whether an image looks good — it checks whether it does what the brief asked. Requirements you stated are requirements it verifies.
Issue detection before delivery Off-brief compositions, broken details, missing elements: the agent spots problems in its own output the way a reviewer would, but before the output reaches your queue.
Automatic prompt repair When something misses, the agent diagnoses why, fixes the prompt, and regenerates. The correction loop that used to require a human round-trip runs on its own.
Learning that compounds Every run teaches the agent what "usable" means for your briefs. Mistakes it made last month stop appearing, and first-pass quality climbs.
Lower cost per usable asset Consumption-based pricing means you pay for what you generate. Agent QA makes more of what you generate usable — fewer discarded outputs, fewer Creative Units spent per asset that ships.
How It Works
Brief and generate Give the agent your brief and let it produce as usual. Nothing about your workflow changes — QA happens inside the run.
The agent reviews and repairs Each output is checked against the brief. Where it falls short, the agent identifies the issue, adjusts the prompt, and regenerates until the result holds up.
You review the survivors What reaches you has already passed the agent's own bar. Your review pass is about creative direction, not defect-hunting — and your feedback feeds the next run's standard.
Built for Game Production
Batch generation that scales Big batches for UA testing or live-ops calendars are exactly where manual review breaks down. Agent QA keeps quality steady when volume grows.
Brief compliance for regulated creative Ad creative comes with hard requirements — mandated elements, formats, claims. An agent that verifies its output against the brief catches compliance misses before they cost a resubmission.
Art team time back on art Reviewers stop burning hours on obvious rejects. The judgment calls that need a human eye get the human eye; everything else gets handled upstream.
Predictable production economics When cost per usable asset trends down run after run, forecasting creative spend stops being guesswork — a real advantage under consumption-based pricing.
Agent QA is the difference between an agent that generates and an agent you can rely on. Paired with Memory, it's how Layer's agent earns more trust with every brief — for 300+ game studios and entertainment brands and counting.