The curriculum and compound interest solve the problem of “done once, and the next one is still from scratch”. The curriculum does not stack commands together, but saves the target, the particle size of the mission, the success criteria, the malfunction fence and the acceptance.
It’s in the whole system.
This is the last stop of the competency cycle and the starting point for the next round: project experiences are codified into curricula, templates and open cases, and new feedback is obtained through reader practice.
Existing content
- AI White’s Introduction to the Open Test: Full Roadmap, two platform overviews and two complete milestones 1.
- After the exams: Burning: Long-term route from computer base to AI primary capacity.
- How a course is forced by real failure.
- Teacher’s wish pool.
Wiki shares judgement, methodology, open case and basic reading. Future steps will be centred on detailed cases, step-by-step exercises, templates, acceptances and continuous updates; currently, no purchase point is available.
How to continue reading next
Once a test or project is completed, return with real problemsInput SystemStart the next cycle of capability.