Blueprint for An AI-First Company
The complete playbook for building companies where AI is the foundation, not a feature.
How to Read This Book
This book is organized in four parts. You can read it cover-to-cover or jump to the part most relevant to your needs:
- Evaluating AI strategy? Start with Part I (Foundations)
- Ready to build? Jump to Part II (Building)
- Scaling your AI team? See Part III (Operating)
- Long-term sustainability? Read Part IV (Sustaining)
Table of Contents
Part 1: Foundations
| # |
Chapter |
Sections |
Description |
| 1 |
The AI-First Imperative |
5 |
Why being AI-first matters now and the competitive advantages it creates |
| 2 |
The AI-First Mindset |
6 |
How AI-first founders think differently about opportunities and building |
| 3 |
The AI Landscape |
7 |
Navigating foundation models, providers, aggregators, and making strategic choices |
Part 2: Building
| # |
Chapter |
Sections |
Description |
| 4 |
Infrastructure for AI-First Operations |
6 |
The infrastructure stack for AI-first companies—databases, gateways, and auth |
| 5 |
Building with AI |
7 |
How to build software with AI as a collaborator—tools, patterns, and workflows |
| 6 |
Agent Architecture |
6 |
Two types of agents, when to use each, and the Agent Hub pattern |
| 7 |
The Microsite Pattern |
7 |
Domain microsites with shared infrastructure and AI agent access—the pattern that enables rapid scaling |
Part 3: Operating
Part 4: Sustaining
| # |
Chapter |
Sections |
Description |
| 11 |
Ethics, Governance, and Risk |
5 |
Building responsible AI with proper governance, risk management, and ethics frameworks |
| 12 |
Staying Ahead |
6 |
How to build AI-first architecture that absorbs change rather than resisting it, with a focus on modularity, emerging technologies, and the principles that will guide AI-first companies into the future. |
Appendix