爆款视频复刻工作流 (Video Agent) Explosive Video Replica Workflow (Video Agent)

先分析参考视频,提炼爆点结构,再通过参数化控制生成新的视频草稿,并支持多版本迭代与沉淀。 Analyze reference videos to extract structures, then generate new drafts via parameter control, supporting multi-version iteration.

核心卖点 (Selling Points) Core Selling Points
Part A: Features & Value
“爆款复刻”而非“通用生成” "Replica" not "Generic Generation"

从 1 到 N 的复刻工作流:先分析样本再生成,拒绝单一文本框“抽卡”碰运气。 Methodology from 1 to N. Analyze samples before generation, refusing the luck-based "Single Prompt Slot Machine".

生产变成“可复制流水线” "Repeatable Pipeline" Production

时长、角色、风格变成显式选项,降低表达成本,提升批量生产能力。 Duration, Role, and Style become explicit options, reducing expression costs and enabling mass production.

更快出片,更低试错 Faster Output, Lower Trial Cost

连接“拆解+产出”,快速拿到可用草稿,通过多版本迭代优化效果。 Connects "Deconstruct + Output" to quickly get usable drafts, optimizing effects through multi-version iteration.

草稿资产化契合增长 Draft Assets Match Growth Goals

自动保存让用户形成“多版本 → 对比 → 迭代”习惯,贴近投放 A/B 测试。 Auto-save forms a habit of "Versions → Compare → Iterate", aligning perfectly with ad A/B testing workflow.

核心功能点 (Core Functional Points) Core Functional Points

Step 01: Analyze Video
结构化分析Structured Analysis

决定了我们不是“通用视频生成”,而是“基于样本的结构复刻”。 Determines we are not "Generic Video Generation", but "Sample-based Structure Replica".

  • 抽取主题与叙事节奏 Extract Theme & Narrative Rhythm
  • 识别 Information Layout Identify Information Layout
  • 提取 Hook / 转折 / 结尾 Extract Hook / Twist / Ending
Step 02: AI Inspiration
补充创作意图Inject Creative Intent

在“复刻效率”和“原创可控”之间提供空间。 Providing space between "Replica Efficiency" and "Originality Control".

同结构换元素Same Structure New Elements 换角色/场景Change Role/Scene 加品牌点Add Brand Point 换情绪Change Vibe
Step 03: 参数化控制Parameter Control
规模化生产Mass Production
画幅Aspect Ratio
16:9 / 9:16
时长Duration
15s / 30s / 45s / 60s
叙事风格Narrative Styles
Auto 写实Realistic 电影感Cinematic 3D 卡通Cartoon 动漫Anime 赛博朋克Cyberpunk
Step 04: Drafts 资产化Assets
迭代与沉淀Iterate & Accumulate
  • Auto-saved: 每次生成即资产Every gen is an asset
  • 基于旧版本微调迭代Fine-tune based on versions
  • 承接 A/B 测试/矩阵号需求Pass to A/B Test & Matrix

产品定位 (Positioning Alignment) Positioning Alignment

目标用户Target Users
我们优先打穿的两类人Priority Segments
A. 增长型创作者 / 小团队 A. Growth Creators / Small Teams

痛点:Pain: 日更压力大、结构不稳定、爆点不可控。 Daily pressure, unstable structure, unpredictable hits.

价值:Value: 用“结构复刻 + 风格参数”提高稳定产出效率。 Increase stability with "Structure Replica + Style Params".


B. 投放 / 品牌内容团队 B. Ads / Brand Content Teams

痛点:Pain: 大量素材 A/B 测试、跨平台多规格、一致性要求。 Mass A/B testing, cross-platform specs, consistency needed.

价值:Value: 用“参数化 + 草稿多版本”把素材生产做成流水线。 Turn production into a pipeline with "Params + Draft Versions".

JTBD & 差异化Differentiation
为什么选择我们Why Us
用户待办任务 (JTBD)Jobs To Be Done (JTBD)
看到爆款视频,希望快速做出“同款节奏与结构、但内容属于自己”的多个版本,用于发布或投放测试。 Sees a viral video, wants to quickly make multiple versions with "same rhythm & structure, but own content" for posting or ad testing.
竞争差异化Competitive Differentiation
  • 通用生成器:解决 "0 -> 1" 生成一条视频 Generic Generator: Solves "0 -> 1" single generation
  • Video Agent解决 "1 -> N" 复刻爆款并规模化 Solves "1 -> N" viral replica & scale

迭代方向 (Beta → v1) Roadmap (Beta → v1)

后续迭代规划Future Enhancements
Part IV
分析结果可视化Analysis Visualized
  • 可视化展示 Hook / 节奏 / 结构Visualize Hook / Rhythm / Structure
  • 提升用户信任与可控感Build trust & controllability
Inspiration 结构化Structured Inspiration
  • 升级为字段化输入Upgrade to field inputs
  • 产品 / 受众 / 语气 / 禁忌Product / Audience / Tone / Taboos
一键多版本对比Quick Comparison
  • 同一参考生成 3 个不同版本Generate 3 versions from 1 ref
  • 支持并排播放对比Side-by-side playback
平台模板预设Platform Presets
  • TikTok / Shorts / Reels 默认参数Defaults for TikTok / Shorts / Reels
  • 降低新手配置门槛Lower entry barrier