Building Ventures in the Decentralized AI Internet
The first graduate textbook integrating artificial intelligence and Web3 as converging forces — preparing the next generation of entrepreneurs for the decentralized AI internet.
A research-grounded graduate textbook that treats AI and Web3 not as separate topics — but as converging forces reshaping how ventures are built, funded, and governed.
Original peer-reviewed contributions including the Token Business Model Canvas (TBMC), developed from systematic literature reviews and empirical Ethereum research — not repurposed frameworks from another field.
The only textbook treating AI and Web3 as converging forces — not separate topics — preparing students for autonomous agents, machine economies, and the decentralized AI internet already taking shape.
Every chapter includes learning objectives, real-world case studies, key term glossaries, structured discussion questions, hands-on activities, and curated reading lists — designed for the graduate seminar.
Token economy simulator, chapter slide decks, test bank, and teaching manual — a complete digital companion that brings the frameworks to life and makes course preparation effortless.
From foundational concepts to frontier applications — structured for a full semester or intensive short course.
Why AI and blockchain are converging, and what it means for entrepreneurs. The macro forces shaping the decentralized AI internet.
The technical foundations every venture builder needs — cryptography, consensus, smart contracts — without requiring a CS degree.
How to design, model, and evaluate token systems using original frameworks including the Token Business Model Canvas (TBMC).
From DeFi protocols to creator economies — a taxonomy of Web3 revenue models with real-world cases and analysis frameworks.
Designing decision-making systems for decentralized organizations. Voting mechanisms, treasury management, and governance failures.
ICOs, IDOs, grants, and hybrid models — navigating the Web3 capital landscape and structuring your fundraising strategy.
Community as competitive advantage — strategies for acquisition, engagement, retention, and measuring community health.
Autonomous agents, machine economies, and what comes after Web3 — building ventures for the decade ahead.
Experiment with tokenomics parameters in real time — directly linked to the TBMC framework from Chapter 3. Adjust supply, inflation, burn rate, staking, and vesting to see how design choices play out over 5 years.
The Token Economy Simulator is live on Streamlit Community Cloud. If the embed does not load, open it directly below.
Open Simulator ↗Visualise total, circulating, staked, and locked supply over 60 months.
Dynamic pie chart showing token distribution across founders, investors, community, and treasury.
Every parameter linked to the Token Business Model Canvas — see which canvas section each choice affects.
Run Bitcoin, Ethereum, utility token, and governance token models side by side.
A complete companion resource suite — built alongside the manuscript, not as an afterthought.
8 fully-designed Remotion decks — 15–20 slides each with speaker notes, learning objectives, and Vibrant Fusion styling.
8 DecksPer-chapter reading lists with Tier 1 foundations, Tier 2 deep dives, and Tier 3 practitioner perspectives — annotated and formatted.
8 PDFsModel supply schedules, vesting cliffs, fee burns, and treasury runway in real time — directly linked to the Chapter 3 TBMC framework.
LiveMultiple-choice, short-answer, and essay questions for each chapter, organized by learning objective and difficulty level.
On RequestChapter-by-chapter teaching notes, suggested discussion sequences, common student misconceptions, and facilitation tips.
On Request8 high-resolution chapter infographics — the Blockchain Trilemma, Token Supply Spectrum, TBMC, DAO Governance Decision Tree, and more.
8 AvailableRequest instructor access to slide decks, test bank, and teaching manual. We respond within 48 hours.
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