Podcast Atlas
concept Updated 2026-07-09 Tags: Ai, Video, Workflow, Creator-Economy

AI Video Production Workflow

AI video production workflow is the practical process by which 266.从红果到AI短剧：谁在革谁的命？ says short-drama creators turn scripts and images into watchable AI video. The workflow includes story selection, scriptwriting, prompt writing, image generation, repeated video-generation “draws,” editing, voice/subtitle work, and director-like coordination across tools.

The source’s important point is that Video Models reduce the need for actors, sets, costumes, and shooting days, but they do not make production automatic. The cost center shifts toward scripts, compute, tool skill, prompt/image/video iteration, editing, and the people who can judge which generated outputs are usable.

267.3000块成本，3.5亿次播放，AI短剧怎么在抖音挣钱？ adds an end-to-end creator case. 小果哥哥 / XiaoGuoGege used Doubao to adapt a 番茄小说 / Fanqie Novel story into multiple script variants and prompts, generated short video fragments with Seedance-style and adjacent tools, salvaged flawed clips for voice, picture, transitions, or internal monologue, and edited the output into 安徽小木匠 / Anhui Xiao Mujiang.

269.真人短剧的下一战：与AI共生、工业化和好故事 extends the workflow frame beyond generated clips. 日新月异 / Rixin Yiy uses AI for live-action production management: script tools linked to databases, scene and character consistency checks, electronic continuity notes, actor notices, work-time records, and upload/approval gates. In this version, AI is infrastructure for Short Drama Industrialization, not only a replacement camera crew.

Key Claims

  • AI video lets one person or a small team attempt work that previously required a larger filming crew.
  • The “抽卡师” role appears because repeated generation and selection become production labor.
  • Tool subscriptions and per-second generation cost are still materially cheaper than many live-action workflows in the source’s account.
  • Better AI subtitles, translation, and dubbing may reduce the value of pure overseas distribution while increasing the value of deeper workflow services.
  • Workflow advantage depends on taste, story, rights control, and platform feedback, not only on access to a model.
  • In the 安徽小木匠 / Anhui Xiao Mujiang case, editing and reuse of imperfect generated material were the practical bottlenecks that kept low compute cost from becoming zero labor.
  • In live-action workflows, AI can enforce consistency and reduce coordination loss even when the finished work remains human-shot.

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