The previous eleven chapters gave you techniques. This chapter turns them into a habit. Reading the book and not changing what you do tomorrow morning is worth roughly nothing. Reading the book and following this 30-day plan rewires your study life permanently.
The plan is concrete. Day-by-day. Fifteen-minute daily routine, one weekly review, a small handful of installs in week one. By day 30, all of this is automatic. By day 60, you can't imagine going back.
Before day 1: install the tools
Forty-five minutes total. Do this once.
- Make accounts on ChatGPT, Claude, Perplexity, NotebookLM, and Gemini. Free tiers are fine to start.
- Install Cursor on your laptop. Open it once so it's ready.
- Install Anki on your phone and laptop. Sync them.
- Install a notes app you'll actually use (Notion, Obsidian, or even a Google Doc). Create a folder called "AI workflows."
- Bookmark this book.
Week 1: foundations
Break the habit of "search engine mode." Start using AI as a tutor and quizmaster.
Day 1. Pick your hardest class. Upload syllabus, latest slides, most recent reading into a NotebookLM notebook. Ask: "What are the three most important concepts so far?"
Day 2. Generate 15 short-answer quiz questions on the same material. Answer on paper without looking. Get them graded.
Day 3. Re-quiz on weak topics. Add 10 Anki cards. Set a 5-minute Anki review for tomorrow morning.
Day 4. Morning Anki. Evening: Feynman technique on one concept — explain it to ChatGPT like a 12-year-old.
Day 5. Morning Anki. Evening: pick one assignment. Use AI for outlining/critique only — write the prose yourself.
Day 6. Morning Anki. Evening: 30 minutes with Perplexity. Verify one citation by clicking through to the actual paper.
Day 7. Weekly review (30 min). Three sentences: what worked, what didn't, what to change.
Week 2: writing and research
Day 8. Pick an upcoming paper. Use the four-phase essay workflow from Chapter 4. Stop after the critique pass.
Day 9. Morning Anki. Evening: revise based on critique. Make changes yourself. Run another critique pass.
Day 10. Morning Anki. Evening: run "show me three weaknesses in my argument" on something you already wrote.
Day 11. Morning Anki. Evening: full research pipeline — Perplexity, Google Scholar verify, NotebookLM synthesis.
Day 12. Morning Anki. Evening: "AI tell" review on a recent piece of your writing. Adjust your style.
Day 13. Morning Anki. Evening: re-read one syllabus's AI policy. Draft an email to the professor about gray areas.
Day 14. Weekly review. Send the email. Update Anki. Drop tools that aren't earning their place.
Week 3: harder subjects and your first script
Day 15. Morning Anki. Evening: pick the topic that scares you most. Tutor-mode it for 30 minutes using the Socratic prompt.
Day 16. Morning Anki. Evening: redo a problem set you got wrong. Use AI as tutor; verify each step.
Day 17. Morning Anki. Evening: open Cursor. Ship one tiny script — calendar import, file rename, anything small.
Day 18. Morning Anki. Evening: make yesterday's script 10% better. Error handling, friendlier output.
Day 19. Morning Anki. Evening: 30-minute mock interview with AI. Behavioral questions only. Tighten the weakest answer.
Day 20. Morning Anki. Evening: rewrite one resume bullet three ways using AI critique. Pick the best.
Day 21. Weekly review. Anki deck should have 50–100 cards. If fewer, add more.
Week 4: integration and a bigger build
Day 22. Morning Anki. Evening: pick a portfolio project from Chapter 11. Spend 20 minutes scoping with AI.
Day 23. Morning Anki. Evening: set up the project — empty repo, blank page, hello world.
Day 24. Morning Anki. Evening: build the core feature. Ugly is fine.
Day 25. Morning Anki. Evening: use your own project. Fix one annoying thing.
Day 26. Morning Anki. Evening: deploy. Get a public URL. Send it to one friend.
Day 27. Morning Anki. Evening: write the README. Take screenshots.
Day 28. Morning Anki. Evening: post the project. Don't be modest.
Day 29. Rest. Walk somewhere.
Day 30. Final review. Compare to day 0. You have: an organized class notebook, an active Anki deck, a refined essay, one shipped project, a tighter resume, a daily habit. None of this existed a month ago.
The daily 15-minute routine, going forward
After the 30-day plan, the routine that compounds:
- 5 minutes of Anki, every morning, on your phone. Non-negotiable.
- 5 minutes of NotebookLM for current classes. Update sources, ask one synthesis question.
- 5 minutes of "what am I avoiding?" Identify the topic or assignment you're procrastinating on. Use AI to take a tiny step on it. Not finish it. Take a step.
That's it. Fifteen minutes. Done before your first lecture.
The weekly review, going forward
Friday afternoon, 30 minutes. Open a doc. Answer four questions:
- What did I learn this week that I'll still know in six months?
- What AI workflow did I use that worked? Use it more.
- What did I struggle with? What would help next week?
- What's the one thing I'm avoiding? Schedule it.
Most students never do this. The ones who do compound dramatically.
Closing pep talk
The students reading this book in 2026 will graduate into a job market that has been completely rewired by AI. The skills you build now compound for the next decade. Not "AI as a search engine" — anyone can do that. Active recall, source verification, prompt engineering, scoping a project, shipping it, and writing about it. The full stack of being a thinking person who happens to use AI as a force multiplier.
The students who learn this now will, by their late 20s, be running circles around peers who never bothered. Not because they're smarter. Because they spent four years compounding while everyone else was still highlighting textbook chapters.
You are not behind. The frontier is moving so fast that nobody is more than a few months ahead of anyone else. Start tonight.
Where to go next
Pick three or four. Don't try to do all of them.
- AI for Students — the structured course that pairs with this book
- Prompt Engineering with Claude — go deeper on prompting
- Perplexity AI for Research — research workflow in detail
- Cursor AI IDE Workflows — coding with AI in your editor
- AI Prompt Chaining Workflows — for when you outgrow single prompts
- AI Ethics and Responsible AI — the longer treatment of Chapter 10
- Anthropic's official prompting guide — search for "Anthropic prompt engineering guide." Best free resource on prompting fundamentals.
- Andrej Karpathy's "Software 2.0" essay and his more recent talks on YouTube. Karpathy is one of the clearest thinkers on what AI changes about software, and his stuff is free.
Read this chapter again on day 31. Then go do the work.