Generated Asset Tagging & Review System

A tagging and review framework that turns raw generated assets into searchable, evaluable, and reusable production resources, with structured metadata and a clear review status.

Generated assets accumulated quickly but were hard to find, evaluate, and reuse. Without consistent tags or review criteria, teams regenerated similar assets and review decisions stayed subjective.

1. Generate in bulk
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2. Save to scattered folders
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3. Manual eyeballing
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4. Inconsistent naming
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5. Subjective approval
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6. Lost or duplicated assets

1. Generated asset intake
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2. Auto tagging (style / risk / quality)
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3. Quality scoring
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4. Review queue
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5. Human review decision
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6. Approved asset archive
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7. Search and reuse

Tagging happens before review so assets are searchable and review can focus on judgment, not labeling.

• Defined the tagging taxonomy and field structure
• Designed the 5-dimension quality scoring model
• Built the review status workflow
• Created the asset filter and search logic
• Specified the reusable asset archive structure

1. 01Tag assets before review to improve searchability
2. 02Separate risk tags from quality tags
3. 03Use scoring dimensions to reduce subjective approval
4. 04Make review status a first-class field
5. 05Archive only approved assets to keep the library clean

• Figma
• JSON data
• Python logic
• Quality scoring framework
• Workflow mapping
• Coze

• Tagging taxonomy
• Quality scoring panel
• Review checklist
• Asset filter interface
• Reusable asset library structure

• Standardized tagging across style, risk, quality, and use case
• Reduced subjective review with a 5-dimension scoring model
• Made generated assets searchable and reusable
• Created a clear review status and handoff path
• Cut duplicate generation by reusing approved assets

Self-initiated prototype — outcomes are qualitative and illustrative, not company data.

The same tagging and scoring structure can apply to campaign visuals, icons, stickers, game items, and other generated content that needs review and reuse.

Generation is cheap; reuse is valuable. A tagging and review layer is what turns a pile of generated content into a usable asset system.