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List of Appendices

The chapters teach you the craft. The labs give you reps. The appendices are everything else worth knowing — the field guides, the setup decisions, the career paths, and the occasional loving roast of the AI hype industry.

None of these are required reading. All of them are useful. Skim the table, find the one that matches your current problem, and dive in.

Welcome to the Back of the Book!

Polly waving welcome Time to talk to AI! Polly's favorite part of any textbook is the appendices — that's where the authors put the stuff they really wanted to say. Six-week crash courses, screen-by-screen tours, shell showdowns, and a chapter about get-rich-quick books that were themselves written by a chatbot. Grab a perch, fellow prompt crafters.

Quick Reference

# Appendix What It Covers Best For
A The "Get Rich with ChatGPT" Publishing Boom The flood of AI-hype e-books, the "AI slop" problem, and what it reveals about real prompt engineering Anyone deciding whether to buy a $4.99 prompt-pack e-book (spoiler: don't)
B Crash Course in Talking to Agents A six-week, one-hour-a-week curriculum from "never opened a terminal" to a working business agent Busy professionals; instructors running a short course
C AI Mentorship Certification Requirements, four-stage training path, competencies, and service log for the AI Certified Mentor credential Students, teachers, and volunteers who want to coach others
D A Guided Tour of the Claude Desktop UI Region-by-region walkthrough of Claude Desktop with two interactive quiz diagrams Brand-new users who just installed the app five minutes ago
E PowerShell vs. WSL Which shell to let your AI agent drive on Windows, with side-by-side command comparisons Windows users setting up Claude Code or agent automation

Appendix A: The "Get Rich with ChatGPT" Publishing Boom

Why there are thousands of books promising AI riches, and why none of them are this one.

Within weeks of ChatGPT's release, hundreds of "make money with AI" e-books appeared on Amazon — many of them written by ChatGPT, about how to use ChatGPT to write books about ChatGPT. This appendix examines that phenomenon honestly: the numbers, the recycled playbook, the "AI slop" quality problem, and the handful of genuine insights buried in the noise.

What's inside

  • The Flood — how fast the AI-book market exploded, with NBER and Reuters data
  • The Common Playbook — the recurring title formulas and themes
  • The Quality Problem: "AI Slop" — hallucinated facts, recycled prompts, copyright ambiguity
  • What This Tells Us About Prompt Engineering — the legitimate signal inside the hype
  • The Numbers in Perspective — what the market size actually means
  • Why We Mention This in a Prompt Engineering Course — our stance on skills vs. secrets

Read this if you're wondering whether you're missing out on a secret prompt that prints money, or you want ammunition for the next person who forwards you one.

Pairs with Chapter 2: Prompt Fundamentals and Chapter 15: Business Applications.

Appendix B: Crash Course in Talking to Agents

Six weeks. One hour a week. Zero fluff.

This is a complete mini-curriculum for busy professionals who can carve out exactly one hour a week. It starts with getting the tools installed and talking to each other, and ends with students demoing an agent that automates a real piece of their job. The organizing goal is high-bandwidth dialogue — using a few short words and having your agent know precisely what you mean.

What's inside

  • Who This Is For — and the honest goal: by week six, students don't need the instructor
  • Course Format at a Glance — a week-by-week outcomes table
  • Week 1: Getting the Tools Talking — Claude Desktop/Code, GitHub, and VS Code plumbing
  • Week 2: Ship a Sample Project — a working build using installed skills
  • Week 3: Build a Skill of Your Own — extending the toolkit
  • Week 4: Agents for Recurring Business Problems — email triage, invoice checks
  • Weeks 5–6: The Capstone — a solution that saves real time and money, built and demoed
  • Why the One-Hour, Six-Week Format Works

Read this if you're teaching a short course, onboarding a team, or want a structured self-study plan that fits around a full-time job.

Pairs with Chapter 12: Agentic AI and the Instructor Notes.

Polly's Tip

Polly giving a tip Words matter — let's get them right! If you only read one appendix, make it Appendix B. Everything else in this book teaches you what to say. That one teaches you how to build the habit of saying it every week until it sticks.

Appendix C: AI Mentorship Certification

Learn the tools. Practice the craft. Help someone else succeed.

A complete certification program for people who want to help others learn to work with AI coding agents. The premise: tomorrow's programming student asks fewer questions about Python syntax and more questions like "how do I know this generated code is correct?" Mentors need a different skill set — and this appendix defines it, teaches it, and assesses it.

What's inside

  • Program Overview and Who This Program Is For — high-school students through professionals
  • Certification Requirements — licensed tool access, training, practical review
  • What an AI Certified Mentor Can Do — the competency list
  • Training Path — four stages:
    1. Tool Readiness — projects, terminals, Git safety nets, reviewing proposed changes
    2. Prompting and Problem Solving — the seven-step mentoring loop (Clarify → Inspect → Plan → Prompt → Review → Test → Reflect)
    3. Mentoring Practice — role-play scenarios, including the learner who wants the AI to do the whole assignment
    4. Supervised Service — 10+ hours of approved volunteer mentoring
  • Required Practical Demonstration — the observed evaluation rubric
  • Responsible Mentoring Standards — privacy, honesty, and keeping the learner in the driver's seat
  • Volunteer Service Approval, Final Submission, and a Sample 10-Hour Service Log

Read this if you're a teacher, tutor, club leader, or experienced student who wants a structured, credential-worthy way to help others.

Pairs with Chapter 16: Educational Applications.

Appendix D: A Guided Tour of the Claude Desktop User Interface

Every button, tab, and toggle — explained for people who just installed the thing five minutes ago.

A visual field guide to Claude Desktop, region by region, with two interactive diagrams you can hover, click, and quiz yourself on. It opens with a reality check that's worth internalizing: this app changes weekly, so learn the concepts (Chat vs. Cowork, Projects, Skills, Memory, permissions), not the pixel positions.

What's inside

  • First, a Reality Check: This App Changes Daily — why that's a good sign
  • The Home Screen — sidebar, prompt box, and every labeled region
  • Chat vs. Cowork vs. Code — the three modes and when to use each
  • Cloud Continuation, Projects
  • Customize: Skills, Connectors, Plugins, and Memory — the control room
  • Skipping Approvals — and Using Chrome
  • The Code Dashboard and Screen Regions
  • The Footer Bar — the mightiest small strip in the app
  • Installing Claude Desktop on Windows

Interactive companions

Read this if you just installed Claude Desktop and the screen is a wall of mystery icons.

Pairs with Appendix B and Chapter 12: Agentic AI.

Appendix E: PowerShell vs. WSL

Two shells walk into a terminal. Only one of them has ever met sed.

If you're on Windows and pointing an AI agent at your machine, you hit this fork immediately: let the agent drive native PowerShell, or install the Windows Subsystem for Linux and give it a real bash shell? This appendix makes the call and shows its work, because the difference isn't ideology — it's that bash pipes plain text while PowerShell pipes .NET objects, and thirty years of tutorials assume the former.

What's inside

  • Why This Decision Matters — dialect mismatch as a source of avoidable agent errors
  • The Tradeoffs at a Glance — setup, package managers, file paths, speed, error rates
  • An interactive comparison infographic with hoverable command examples
  • Getting Set Up — wsl --install and what happens next
  • Simple Tasks, Side by Side — the same job in both shells
  • The Real Example: Publishing This Book with mkdocs gh-deploy
  • Bottom Line for AI-Driven Automation

Read this if you're on Windows and setting up Claude Code, or your agent keeps generating commands that almost work.

Pairs with Appendix B, Week 1.

How to Use the Appendices

  • Instructors — Appendices B and C are course-shaped and ready to adapt. Appendix D works as a first-day handout.
  • Self-study learners — Start with D (get oriented), then B (build the habit), then E if you're on Windows.
  • Skeptics — Start with A. It's the honest answer to "isn't this all hype?"

You Found the Good Stuff

Polly celebrating Use your words! Most readers never make it past the last chapter. You're back here in the appendices, which means you're the kind of learner who reads the footnotes and clicks the links. That habit — chasing the detail nobody made you read — is the same one that turns decent prompters into great ones. Keep it up, word wizards!