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Note on AI Assistance

The reading text here is Infinite Architects as corrected and updated on 17 January 2026, the edition the ebook carries. The print first edition of 2 January 2026 is unchanged and stays as dated evidence: it was never revised, and nothing on these pages revises it. Where the two differ, the difference is a correction the author made to the ebook, not a rewriting of what was printed. Every section below is reproduced verbatim from the 17 January artefact, with that artefact’s SHA-256 and a SHA-256 for each section, so “verbatim” is checkable rather than claimed. Section source SHA-256 0cf1a64b092cd53e… · contents and full manifest.

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The author's own note on his method. It opens: “This book was researched and written using a multi-model AI methodology developed by the author over three years of intensive daily use.” It goes on to describe running the same question through competing systems so that their disagreements surface errors, the scale of that use across twenty-five versions of the manuscript, and his practice of checking every factual claim against a primary source.


Note on AI Assistance

This book was researched and written using a multi-model AI methodology developed by the author over three years of intensive daily use.

The author began integrating AI into business operations in early 2023, within months of ChatGPT's public release. By mid-2023, this had evolved into building AI-powered business systems and exploring enterprise AI integration. When the author's business ceased trading at the end of 2023, AI tools became essential to navigating the legal challenges that followed. What began as general legal research in mid-2023 intensified into High Court litigation preparation throughout 2024 and 2025.

The release of OpenAI's o1 model in September 2024 proved transformative for legal writing, bringing a depth of reasoning that earlier models could not match. When ChatGPT Pro launched in December 2024, the author subscribed immediately and has used it daily since. The methodology refined through this period, running identical queries through multiple competing systems to triangulate toward accuracy and identify hallucinations, directly informs the verification frameworks proposed in this book.

The scale of this engagement is substantial. In 2025 alone, the author exchanged over 52,000 messages with ChatGPT, a figure that excludes the thousands of additional interactions across other platforms. The prompts, instructions, refinements, and iterative conversations used to research and write this book exceed the word count of the finished manuscript many times over. Twenty-five complete versions of this book were written before publication, each one refined through recursive collaboration between human judgment and artificial capability. This represents not casual experimentation but sustained, professional-grade partnership across legal strategy, research synthesis, document verification, and the creation of this manuscript.

AI systems consulted during the research and writing of this work include: Claude Opus 4.5, Claude Opus 4, Claude Sonnet 4.5, and Claude Max (Anthropic); GPT-5, GPT-5.1, GPT-5.2, GPT-4.1, GPT-4o, o1, o3, and ChatGPT Deep Research (OpenAI); Gemini 3 Pro, Gemini 3 Flash, and Gemini 2.5 Pro (Google DeepMind); DeepSeek R1, DeepSeek V3, and DeepSeek V3.2; Grok 4.1 (xAI), noted for being among the least restrictive frontier models; Llama 3.3 (Meta); and Perplexity across all available models including Perplexity Research and Perplexity Pro.

This represents engagement with every major frontier AI laboratory and virtually every significant model released between late 2024 and December 2025. The author maintains no loyalty to any single laboratory, following capability rather than brand. By late 2025, Gemini 3 Pro and Claude Opus 4.5 had surpassed ChatGPT in several key capabilities, and the author's primary workflow shifted accordingly. The diversity was always intentional: each system exhibits different strengths, blindspots, and failure modes. Cross-referencing outputs across architectures developed by competing teams with different training approaches provides a form of epistemic insurance that no single model can offer.

The author verified all factual claims against primary sources. Where AI systems disagreed, the disagreement was investigated. Where they agreed confidently but incorrectly, those instances informed the book's discussion of alignment and verification challenges. The process of writing about AI with AI became, itself, a form of research.

The author takes full responsibility for the synthesis, the arguments, the errors, and the conclusions. The AI systems were tools, collaborators, and, in a sense, subjects of study. The partnership embodied in this book's creation is precisely the partnership it advocates: human judgment directing artificial capability, with transparency about the collaboration rather than concealment of it.

The future of intellectual work is human-AI collaboration. This book was written from inside that future.

© Michael Darius Eastwood 2026. Free to read here, by the author’s decision; not public domain. All rights reserved. If this book gives you something, the whole of it is free to hand to the next reader: send them any section’s address, or the start.

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