What this case covers
The author Du Xifan works mainly in computer machine vision and image processing, and does content customer acquisition through vertical small accounts as a side business. The article reviews the complete process from positioning and private-domain loop closure to building an automated content production workflow with Feishu, Codex, and Obsidian.
Questions it answers
- How was the vertical small account positioning found?
- What links are included in the content customer acquisition loop?
- What bottlenecks did the AI workflow specifically solve?
- What problems were encountered in the Feishu and Codex integration?
- How do the four data quadrants guide content adjustments?
Our observations
- The willingness to pay of a precise audience is more worth investing in than broad traffic.
- The value of an AI workflow lies in stable output, not in replacing judgment.
- First locate the business problem, then decide whether to use a tool.
From the author
Doing content is different from writing programs. There is no moment when it compiles successfully and tells you it can be published. You have to publish first, and only then will the data and the market give you logs.