AI avatar pipeline: batch generate + traffic test; claimed ¥200k in a year
冰美式Xx（转述酷恩案例）即刻 · 2026-10-23
Read original转述：有人用 AI 批量生成头像，结合平台流量测试选高需求画风，一年约一年赚 20 万，月均一两万，几乎全是自动化流水线。
Business model
Batch-generate avatars in many styles, test traffic on platforms, keep high-click styles, and run an automated listing pipeline.
Digital goods can be highly automated: produce, test, list. The edge is fast validation of what sells.
Workflow
- Pick platform and category
- Batch sample many styles
- Small traffic tests for clicks/conversion
- Scale winning styles and auto-list
- Rotate themes regularly
Adaptation plan
Second-hand case on Jike; figures are self-reported and not independently verified. Added steps are untested suggestions.
Starter prompt
Written by AgentFlow; not the original author’s prompt. Not independently deployed in Muse or Grok.
Batch-generate [N] avatars in [style list], fixed size and naming. Deliver a ready-to-list pack plus suggested test titles.
Running costs and pitfalls
Second-hand case on Jike; figures are self-reported and not independently verified. Added steps are untested suggestions. No independent cost benchmark is available. Check subscriptions, permissions and external actions before running a workflow.