Where My Automation Stops: Judging Titles, Keywords And Covers By Hand

说明与用途

自动化生成元数据、预防重复发布并渲染封面，但对标题、关键词和封面可读性的人工审核仍是关键步骤，每批40个包需约90分钟。

问题

Automating metadata, uploads, and rendering for sticker packs fails when human judgment is required for titles, keywords, and cover quality.

结果

Automation handles metadata, double‑post prevention, and rendering, reducing manual effort to title, keyword, and cover review, which remains the most valuable 90 min per batch.

工作流

• Run make_metadata.py to generate platform‑specific CSV headers
• Run upload_tracker.py to prevent double‑posting
• Run pack_product.py to render 1280×720 covers and 600×600 thumbnails
• Package assets into ZIPs with covers and metadata
• Manually review each CSV row for title and keyword quality
• Manually inspect each cover at thumbnail size for readability
• Select keeper images from AI generations
• Submit approved packs to stock platforms

证据

The script never fails on headers.

来源

I read every row. For 40 packs that's maybe 90 minutes.

来源

The ledger handles that cold.

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I look at every cover against the thumbnail size it will actually appear at.

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