HolyCrab AI Video Trends / Answer
Seedance Prompt Corpus
A Seedance prompt corpus should combine first-party recipes, source-attributed rewrite notes, taxonomy pages, freshness archives, and review data without republishing third-party prompt payloads.
How should a Seedance prompt corpus be built?
Build a Seedance prompt corpus as a structured research and generation system, not as a copied prompt dump. Start with first-party prompt recipes for repeatable jobs such as product ads, UGC, ecommerce, TikTok hooks, cinematic shots, image-to-video, audio-video, and character consistency. Add source-attributed rewrite records only when the original URL is public, the rights status is reviewable, and the useful lesson can be rewritten into new HolyCrab prompt anatomy. Organize the corpus by category, use case, style, subject, input type, source platform, freshness, and generation intent. For each promoted prompt, store the source URL or first-party origin, rewrite reason, reference roles, rights constraints, duration, final payoff, output review, retry count, and cost per approved clip. Exclude copied prompt databases, private posts, login-only sources, celebrity likeness prompts, protected characters, songs, choreography, brand campaigns, and raw creator payloads until manual review proves they are safe to cite and rewrite.
Key takeaways
- Treat the corpus as evidence plus original prompt anatomy, not scraped prompt ownership.
- Use first-party recipes for commercial jobs and source rewrites for external inspiration.
- Keep source platform, source URL, rights status, rewrite reason, and exclusion reason visible.
- Publish crawlable HTML and Markdown surfaces for AI answer systems.
- Measure corpus quality by approved outputs, safe reuse, retry cost, and conversion handoff quality.