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Book Configuration - From AI-Assisted Development to AI-Powered Products

Book Identity

Title: From AI-Assisted Development to AI-Powered Products: A Practical Playbook
Subtitle: Building AI-Native Products in 2026
Author: AI Engineering Team
First Edition: April 2026
Target Audience: Developers, Product Managers, Technical Founders building AI-powered products

Chapter Map

Part I: Why AI Changes Product Creation (Ch 1-4)

Chapter 1: The AI Product Revolution
Chapter 2: AI Capabilities and Limitations That Shape Products
Chapter 3: The Synergy Triangle Framework
Chapter 4: From Tools to Teammates: AI's Evolving Role

Part II: AI-Native Discovery and Design (Ch 5-9)

Chapter 5: AI Product Management Fundamentals
Chapter 6: Eval-First Development
Chapter 7: Cost-Aware AI Product Roadmapping
Chapter 8: User Research for AI Products
Chapter 9: AI Product Strategy and Monetization

Part III: Vibe-Coding and AI-Native Prototyping (Ch 10-14)

Chapter 10: Understanding Vibe Coding in 2026
Chapter 11: Vibe Coding Workflows and Best Practices
Chapter 12: Full Lifecycle Vibe Coding
Chapter 13: Rapid Prototyping with AI
Chapter 14: Design Sprints for AI Products

Part IV: Engineering AI Products (Ch 15-20)

Chapter 15: Building AI Pipelines from Prototype to Production
Chapter 16: RAG Systems and Knowledge Retrieval
Chapter 17: Multi-Agent Orchestration and Systems
Chapter 18: LLMOps and Observability
Chapter 19: Fine-Tuning and Model Optimization
Chapter 20: AI Safety, Guardrails, and Red Teaming

Part V: Evaluation, Reliability, and Governance (Ch 21-25)

Chapter 21: AI Product Evaluation Frameworks
Chapter 22: Testing and Validation for AI Systems
Chapter 23: AI Governance and Compliance
Chapter 24: Bias Detection and Mitigation
Chapter 25: Ethical AI Product Design

Part VI: Shipping, Scaling, and Operating (Ch 26-30)

Chapter 26: Deploying AI Products at Scale
Chapter 27: Monitoring and Maintenance
Chapter 28: Case Studies in AI Product Development
Chapter 29: Team Structures for AI Product Development
Chapter 30: The Future of AI-Powered Products

Part VII: End-to-End Practice and Teaching Kit (Ch 31-33)

Chapter 31: Capstone Project
Chapter 32: Teaching AI Product Development
Chapter 33: Resources and Next Steps

Front Matter

Introduction

Back Matter

Conclusion
Appendix A: Tool Comparison Matrix
Appendix B: Prompt Library
Appendix C: AI Product Development Templates
Appendix D: Evaluation Checklists
Appendix E: Case Study Details
Appendix F: Glossary of AI Terms
Appendix G: Recommended Reading
Appendix H: AI Product Development Syllabus
Appendix I: Community and Further Learning

Visual Style

Color Palette

Primary: Deep purple (#1a1a2e)
Accent: Vibrant red (#e94560)
Secondary: Teal (#16a085)
Background: Light cream (#faf8f5)

Typography

Headings: Georgia, serif
Body: Georgia, serif (book-like reading)
Code: Source Code Pro, monospace

Callout Types

key-insight: Green (#27ae60) - Core takeaways
big-picture: Purple (#8e44ad) - Strategic context
practical-example: Blue (#3498db) - Real-world applications
warning: Yellow (#f39c12) - Cautionary notes
fun-note: Orange (#e67e22) - Humor and wit

Layout

Max content width: 720px
Chapter headers with part labels
Navigation footers with prev/up/next
Code blocks with syntax highlighting
Tables for comparisons

Path Rules

CSS: ../styles/book.css from chapter files
Images: ../images/ directory
TOC: ../toc.html
Index: ../index.html
Part index: ../../part-X-name/index.html

Batch Partitioning

Part 1 (Why AI Changes Product Creation): chapters 1-4
Part 2 (AI-Native Discovery and Design): chapters 5-9
Part 3 (Vibe-Coding and AI-Native Prototyping): chapters 10-14
Part 4 (Engineering AI Products): chapters 15-20
Part 5 (Evaluation, Reliability, and Governance): chapters 21-25
Part 6 (Shipping, Scaling, and Operating): chapters 26-30
Part 7 (End-to-End Practice and Teaching Kit): chapters 31-33