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AI-Native Company Five-Layer Structure: Feishu + Codex Workflow Transformation

5 minutesTime for Codex to build a Skill
1 to 2 hoursCodex autonomous runtime
25 minutesTime difference between Codex and a weaker model
01

What this case covers

Author Xisheng shares practical experience building an AI-native company, covering tool simplification, Skill workflow restructuring, Codex usage, methodology judgment, and a five-layer organizational structure.

02

Questions it answers

  1. Why are fewer AI tools better for a team?
  2. Why must Skill workflows be completely redesigned?
  3. Why is it worth paying more for Codex?
  4. What question must be answered before building Skills?
  5. What are the five layers of an AI-native company?
03

Our observations

  1. Fewer tools means greater proficiency; habits matter more than stacked features.
  2. Workflows that only add AI nodes will most likely not be continuously updated.
  3. Judgment determines direction; AI only amplifies execution results.
04

From the author

True AI native is not that some employee can use AI, but that processes in the company would become noticeably slower, more expensive, and less replicable without AI.
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