Copy as MarkdownCtrl+⇧+C
Section I: Foundations
Chapters 25, 26, 27: How to Think About Enterprise AI Agents Before Building Them
Section I establishes the conceptual and technical foundations that every subsequent chapter depends on. It answers three questions practitioners consistently struggle with: What does the enterprise AI landscape actually look like in 2026, and how do I navigate it strategically? How do I architect an agent that can reliably handle the complexity of a real business function? How do I transfer the knowledge locked in expert practitioners' heads into a format that AI agents can execute consistently?
| # | Chapter | Key Focus |
|---|---|---|
| 25 | The Enterprise Agentic Landscape | Strategic landscape, deployment patterns, build vs. buy framework |
| 26 | The Enterprise Agent Blueprint | Cowork plugin anatomy, PQP Framework, governance, and ownership |
| 27 | The Knowledge Extraction Method | Transforming tacit expert knowledge into SKILL.md files |