Part I: The Origin of AIFC
22. AI Retrospective and System Learning
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If AI is used significantly, the community should learn from AI use.
This led to AI Retrospective.
AI Retrospective asks:
- Where did AI help?
- Where did AI waste capacity?
- Where did AI create dependency?
- Where did AI produce risk?
- What should become a workflow?
- What should become a skill?
- What should become a template?
- What should be done without AI?
- What should be added to source of truth?
- What should be reviewed by humans?
This created another major AIFC principle:
Every significant AI use should teach the community something about its work, knowledge, risks and capabilities.
AI use should not disappear after output delivery.
It should improve the system.