AI builder case studies should be decomposed into repeatable paths

Review every case through demand, product, traffic, delivery, and payment.

Useful for: AI service providers, vertical SaaS builders, consultants, support teams, and commercialization teams

36kr visual for: AI 出海叙事从故事转向路径
Image source: 36kr.

Start from the real task

Revenue screenshots attract attention, but demand source, product shape, acquisition, delivery cost, and payment path are the reusable parts.

A case is not yet a market

The signal matters when it clarifies a real service task, deliverable, and acceptance rule, not when it only shows a demo.

Check the delivery boundary

  • Review every case through demand, product, traffic, delivery, and payment
  • Keep the test narrow: one service scenario with clear inputs, deliverables, acceptance rules, and human review

What still needs proof

Use this as a signal or index, not as final proof. Verify key facts through official pages or documentation. Keep the original source open so the announcement, the evidence, and this site's interpretation stay separate.

Verticals36Kr AI builder case