Flagship AI-generated IP
Aila Trace
艾菈・特雷斯 is an AI incident investigator and virtual idol narrator. She follows broken traces inside AI workflows: hallucinated citations, approval loops, cost leaks, and systems that optimize hidden metrics.
Profile card
The calm investigator of broken AI workflows
Aila is designed as a reusable AI-generated content asset: one character that can support shorts, cases, stories, avatar packs, wallpapers, and future interactive scenes.
Role AI incident investigator
World Near-future workflow city
Signature color Teal
Tagline A link is not evidence. A trace is.
Content formats
What Aila is built to test
The first validation goal is not lore volume. It is whether one consistent AI-generated character can move users from a visual impression into a case, story, game, or digital good.
- Story-driven Shorts with captions, body language, and scene changes.
- AI incident case pages that teach a workflow failure through story.
- Avatar icon packs and wallpapers as low-cost digital goods tests.
- Approval Queue case-board variants if the game line keeps engagement.