Content Roadmap
The 72-chapter structure is finalized and prose is completed chapter by chapter. Current progress, writing order, and acceptance criteria.
The course is delivered in stages. Structure comes first, prose afterward, so each chapter's central question, core concepts, lab, and AI lab are settled before writing begins. This keeps chapters focused.
Current progress
All 72 chapters are complete. Part A chapters 1–36 and Part B T1–T36 follow the ten-step template, each with a lab completable within thirty minutes and an AI lab with a human verification checklist.
The Knowledge Graph is also available. It maps dependencies among all chapters and displays each chapter's prerequisites at the top.
The eleven Career Tracks are written, along with Learning Progress and Proof of Skill— 72 hands-on exercises can be checked off individually, summarized into progress across eight capabilities, and exported as a portfolio-ready checklist.
The Machine Economy Simulator is also available: nine rules with three choices each, nine crisis categories, and a 24-tick simulation— a playable version of the Create a Machine Economy capstone.
P0 through P6 are complete. The course prose, knowledge graph, career tracks, Proof of Skill, and simulator have all been delivered.
Writing order
Order follows what readers need first rather than chapter numbers:
| Batch | Content | Why it comes here |
|---|---|---|
| First | Part A chapters 1–12 | The entire Literacy Path; these determine whether most readers stay |
| Second | Part A chapters 13–24 | Financial mechanisms and research methods, the main value for non-technical readers |
| Third | Part B T1–T18 | The shortest path from zero to a full-stack DApp |
| Fourth | Part A chapters 25–36 | Business and AI, after readers have sufficient foundations |
| Fifth | Part B T19–T36 | DeFi, security, and AI engineering for readers who can already code |
| Sixth | Career Track prose | Develop after Core stabilizes to avoid repetition |
Within each batch, write in chapter order because later chapters refer to earlier models.
Acceptance criteria for every chapter
A finished chapter must satisfy all these conditions:
All ten steps appear in order. Include every level-two heading, followed by Takeaway Questions and Chapter Check.
No terms before step 6. The first five steps describe phenomena. At What It Is Called, readers should recognize the thing just described.
At least one Lab and one AI Lab. The lab takes no more than thirty minutes and specifies a testnet or small amount when assets are involved. The AI lab includes a human verification checklist.
Avoid expiring numbers. Provide a retrieval date and source, or ask readers to look up the number themselves.
pnpm test passes. Scripts check consistency between curriculum data and prose, including titles, central questions, and template structure.
Later versions
| Version | Content |
|---|---|
| V1 Documentation | This site: 72 chapters, the ten-step template, labs and AI labs, analysis toolkit, and capstone handbook |
| V2 Learning System | Knowledge graph, lab system and Proof of Skill, learning paths, and research templates · Launched with the 72 chapters |
| V3 Simulator | Machine Economy Simulator: design an agent economy in a sandbox while the system creates crises |
| 3D Chain Island | An interactive 3D scene per chapter in the same application, using the same prose · Available, enter at /world |
| Hot Topics Explained | Apply course models to recent events, keeping event-specific material separate with verification dates · See Hot Topics Explained |
All three versions share curriculum data in packages/curriculum, with consistent chapter numbers, concepts, and capability tags.
Write together
To contribute a chapter:
- In
packages/curriculum/src/chapters-a.tsorchapters-b.ts, set itsstatustowritten. - Run
pnpm testto see which files and sections remain missing. - Follow a published chapter. Its ten steps, lab, and AI lab provide the template.
- See the final section of How to Use This Course for writing conventions.