What this case covers
Based on the practice of consuming 23 billion Tokens in seven days, the author summarizes 50 Codex lessons, covering AI Native thinking, model cost, parallelism, Plan mode, Skill, and review.
Questions it answers
- What is an AI Native way of working?
- Why should saving Tokens not be the highest goal?
- How can AI keep advancing a goal over the long term?
- How are results consolidated into a Skill?
- What value does a failure case library have?
Our observations
- A person's time and opportunity windows are usually scarcer than Tokens.
- Authorization must appear together with clear goals and acceptance criteria.
- Burning Tokens should produce a system, not a longer chat log.
From the author
The most valuable thing is not a magic prompt, but a workflow that can run repeatedly.