Frontend and full-stack builders
Build an Intuition App
Ship a Testnet application with graph reads, wallet UX, and protocol writes.
Curriculum previewNew to Intuition
Build the complete mental model, inspect the live graph, and decide where your skills fit before writing code.
You will leave able to
Explain Intuition clearly, evaluate a graph-shaped use case, and choose the right specialist path.
All 12 Intuition Foundations lessons, kept in their original theory-first curriculum.
Observe the live graph, interpret signal, and test a product idea without writing code.
Every exercise separates protocol evidence, application inference, and unresolved uncertainty.
Lessons sync with the Foundations course. Activities and progress stay in this browser—no account required.
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Orient
Understand the information problem, Intuition’s thesis, and the boundaries of each system layer.
Why abundant information can still be difficult to identify, verify, reuse, and trust across applications.
The protocol thesis: make claims structured, attributable, composable, and economically signalable.
A high-level map of the network, protocol, indexing, and application layers—and the boundaries between them.
Model
Move from identifiers to explicit claims, then inspect how those ideas appear in a live interface.
How Intuition gives people, concepts, files, and claims reusable identifiers—and why canonical identity is a design problem.
How subject-predicate-object structure turns human assertions into explicit, reusable graph relationships.
How graph relationships become more expressive without losing who asserted what and under which conditions.
Translate a live graph object back into the atoms, relationship, provenance, and context you just learned.
A short claim record containing the atom, one triple, its visible provenance, and one unresolved uncertainty.
Interpret
Understand signal and incentives, then practice describing market-weighted information honestly.
What economic signal adds to a claim, what opposing positions reveal, and why weight must never be presented as certainty.
A conceptual model of the containers and accounting that let participants take economic positions around knowledge.
How economic coordination can strengthen a knowledge graph—and the manipulation, fragmentation, and bias it can introduce.
Practice turning support and opposition into a useful explanation without promoting economic weight into truth.
A five-line interpretation that states the observed signal, its provenance, a plausible inference, an alternative explanation, and an honest UI label.
Decide
Apply the complete mental model to a product idea and choose the specialist path that fits.
How applications move from indexed protocol data to interpretations without concealing provenance, latency, or uncertainty.
A framework for deciding when shared identifiers, claims, provenance, and economic signal materially improve a product.
Apply the complete Foundations model to a package-trust directory, then test the distinctions that make Intuition products credible.
Use the course’s four-part fit test to decide whether an idea deserves shared protocol infrastructure.
A one-page decision memo plus your recommended next path: app, data, onchain integration, or agent trust.
After Foundations
Your fit memo should make the next direction clearer. These specialist curricula remain visible while their courses and labs are being verified.
Frontend and full-stack builders
Ship a Testnet application with graph reads, wallet UX, and protocol writes.
Curriculum previewData and backend builders
Ship a provenance-aware graph explorer, dashboard, or ranking system.
Curriculum previewSmart contract builders
Build and test a contract-level integration against Intuition Testnet.
Curriculum previewAI and agent builders
Ship an agent context or ERC-8004 trust integration with inspectable provenance.
Curriculum preview