Part VII: End-to-End Practice and Teaching Kit
Chapter 31

End-to-End Capstone Playbook

You have read about framing problems, building prototypes, engineering for production, and measuring what matters. Now comes the hard part: doing all of it simultaneously, under time pressure, with incomplete information, while making decisions that will determine whether your AI product succeeds or joins the graveyard of failed AI initiatives. The capstone playbook, your Learn phase experience, guides you through a complete development cycle where every concept from this book must work together or the product fails.
The Tripartite Loop in The Capstone

The capstone synthesizes all three disciplines into practice: AI PM leads the product definition, prioritization, and stakeholder management; Vibe-Coding drives rapid prototyping and iteration to test assumptions quickly; AI Engineering builds the production-quality system that can actually ship.

Chapter 31 opener illustration
The capstone traces one product through the complete evidence loop.

Objective: Apply the complete AI product development workflow in a structured, guided experience that synthesizes all concepts from the book.

Chapter Overview

This chapter presents the complete end-to-end workflow, integrating discovery, design, prototyping, engineering, evaluation, launch, and governance into a unified 12-week playbook. You will work through nine distinct phases, each building on the last, culminating in a shipped AI product and a thorough postmortem.

Four Questions This Chapter Answers

  1. What are we trying to learn? How all the concepts in this book fit together in a complete AI product development lifecycle.
  2. What is the fastest prototype that could teach it? Working through one phase of the capstone playbook with a real or simulated product concept to experience the full workflow.
  3. What would count as success or failure? A shipped AI product with documented discovery, design, engineering, evaluation, and postmortem learning.
  4. What engineering consequence follows from the result? Individual chapters teach pieces; the capstone integrates them into the complete AI product development discipline.

Learning Objectives

Sections in This Chapter