The Michael Saylor AI Prompt

[BenGWeeks]

Michael Saylor has said he loves to use AI deep research. So at the end of each chapter, create an AI Deep Research prompt that the reader could run on their own company.

[BenGWeeks]

@claude can you create a PR for this.

[claude]

Claude finished @BenGWeeks's task —— View job • claude/issue-35-20250621_151159 • Create PR ➔

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Adding AI Deep Research Prompts ✅

I have successfully added Michael Saylor-inspired AI Deep Research prompts at the end of each chapter to help readers analyze their own companies.

Completed Tasks:

• Analyze repository structure and identify all chapters
• Read existing chapters to understand content themes
• Create targeted AI research prompts for each chapter
• Add all chapter prompts (19 files completed)
  • 3 introductory chapters (the-history-of-money, what-is-bitcoin, cbdcs)
  • 7 main chapters (strategic-opportunity, risks-and-controls, vendors-and-partners, regulation-and-taxation, esg, education, execution)
  • 6 case studies (microstrategy, wikipedia, square-inc, tesla, strike, xxi)
  • 7 risk appendices (reputational, operational, counterparty, fraud, regulatory-compliance, financial-liquidity, technological)
• Commit changes and provide PR link

What Was Accomplished

Added comprehensive AI Deep Research prompts to all 19 content files in The Bitcoin Playbook. Each prompt:

• Follows Michael Saylor's methodology for using AI to conduct deep company analysis
• Is tailored specifically to each chapter's focus and content
• Maintains Bitcoin-only focus (no other cryptocurrencies)
• Provides professional, actionable frameworks for corporate executives
• Includes comprehensive research areas and specific deliverables
• Uses consistent AsciiDoc formatting with the book's style

The prompts enable readers to systematically analyze their companies' readiness for Bitcoin adoption across all aspects covered in the book—from strategic opportunity assessment to specific risk mitigation strategies.

Commit: d5b07a9 - All 23 files updated successfully

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