- Introduction — AI Interviews Are Process-Control Interviews
- Chapter 1 — Use It Right: Know the Tool Before You Start
- Chapter 2 — Ask It Right: Turn Vague Requirements into Clear Constraints
- Chapter 3 — Write It Right: Convert Answers into a Plan Spec
- Chapter 4 — Build It Right: Use AI as a Builder, Not as the Standard
- Chapter 5 — Review It Right: Separate the Builder from the Reviewer
- Chapter 6 — Full Walkthrough: Ticket Booking System
- Chapter 7 — Quick Sketches: Voting, Booking, and Trading/Matching Systems
- Chapter 8 — The 20-Minute Interview Flow Card
- Appendix A — Copy-Paste Prompts
- Appendix B — Template Pack Access
- Final Note — The Spec Is the Standard
Interviewing for an AI Job
The Four-Step Framework for AI-Collaboration Interviews
This book is 100% completeLast updated on 2026-07-03
AI-collaboration interviews are not about prompting better. They are about controlling the process. Learn a four-step framework to ask better questions, write a clear spec, guide AI-assisted building, and prove correctness with independent review and tests.
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About the Book
AI-collaboration interviews are not about proving that you can open an AI coding tool. They are about proving that you can control the engineering process.
This practical field guide teaches a four-step framework for handling AI-assisted technical interviews:
Use It Right — confirm the tool, repo, test command, login, permissions, and working environment before you begin.
Ask It Right — interrogate vague requirements before building. Clarify traffic, concurrency, consistency, security, failure handling, and business rules.
Write It Right — turn the answers into a clear Plan Spec with requirements, assumptions, architecture, API design, data model, risks, and test strategy.
Review It Right — separate the Builder from the Reviewer, then prove correctness with executable tests instead of asking the AI whether it is sure.
Inside the book, you will learn how to turn vague interview prompts like “Build a high-traffic voting system” or “Create a ticket-booking system” into structured engineering work.
The book includes a full ticket-booking interview walkthrough, quick sketches for voting and trading/matching systems, reviewer prompts, test strategy examples, and a 20-minute crunch-time flow card.
The core idea is simple:
The Spec is the standard.
The Builder produces.
The Reviewer finds fault.
The Test proves.
This is a practical guide for candidates who want to show real engineering judgment in AI-collaboration interviews.
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About the Author
Jerry Y. Chen
Jerry Y. Chen is a senior systems engineer and programming instructor. With 20 years of hands-on development experience and 5 years of teaching experience, he focuses on making complex technical workflows practical, teachable, and reusable.
His work covers AI-assisted development, engineering process design, technical education, and real-world implementation strategy.
He writes practical field guides for builders, developers, instructors, and candidates who want to turn AI tools into reliable engineering workflows.
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