Julian's previously published books and papers, referenced throughout the workbook. Unlike the workbook chapters, these are finished, publicly available work.
A governance-first approach to alignment that treats AI control as an organisational design problem. Introduces a 24-point periodic system for mapping the constraint landscape of AI-human interaction.
View →Examines the counterintuitive principle that well-designed constraints create rather than limit productive freedom — and why this matters for AI control architectures.
View →How self-reflective feedback loops and observational restraint create natural governance mechanisms — applicable to both human organisations and artificial intelligence systems.
View →Illustrates the book’s central idea that physical abundance creates room for relational abundance, as everyday acts of skill, care, trust, contribution and reciprocation generate belonging and meaning beyond what the transactional economy can measure.
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