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Intuition Foundations

Build a durable mental model of Intuition: why it exists, how its knowledge graph works, and how economic signal turns information into programmable trust.

Beginner 2h 35m 12 lessons
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What you will understand

Explain the information problem Intuition is designed to solve
Model entities and claims with atoms and triples
Distinguish claims, provenance, and economic signal
Reason about vaults, incentives, and canonical identifiers
Evaluate whether a product idea is a strong fit for Intuition

Course syllabus

1Why IntuitionThe information problem, Intuition’s thesis, and the system that turns attestations into shared infrastructure.3 lessons
  1. 1The internet's information problem12 min
  2. 2What Intuition changes12 min
  3. 3The Intuition system at a glance13 min
2The language of knowledgeAtoms, triples, context, provenance, and the compositional model behind the graph.3 lessons
  1. 1Atoms: identity for anything12 min
  2. 2Triples: claims as relationships13 min
  3. 3Context, composition, and provenance13 min
3Economic trustSignals, opposing positions, vaults, shares, incentives, and the limits of market-weighted information.3 lessons
  1. 1Signals: conviction, not truth13 min
  2. 2Vaults, shares, and information markets14 min
  3. 3Incentives, canonicalization, and failure modes14 min
4From protocol to productsHow applications interpret the graph, recognize good use cases, and design with the primitives responsibly.3 lessons
  1. 1Reading the graph responsibly12 min
  2. 2Recognizing strong Intuition use cases13 min
  3. 3Design challenge and final knowledge check14 min