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