Input is not “data cleaning” alone: it is building a continuous Knowledge Transformation Cycle from raw information to action.
Democratization of expertise has two sides: consumption (people use richer systems with AI) and contribution (people master topics faster
and give better feedback), a flywheel of truth when both run together.
Chapters 4–6 move through collect (unlock and acquire), connect (architecture to the moment of value), then curate (authority, canon, feedback).
Framing (from the component introduction)
AI-first knowledge systems can democratize both access to expertise and contribution to expertise by humans and machines.
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The figure of the full Knowledge Transformation Cycle by chapter and how each later chapter extends the loop.