The Honest Work Code
Let's talk about it.
Most students using AI are using it somewhere on a spectrum. On one end: brainstorming a paper topic, then writing the paper themselves. On the other end: pasting the prompt into a chatbot and submitting whatever comes out. Most schools haven't caught up. Most professors haven't either.
You're not alone if this feels murky
Most high school and college students are using AI for schoolwork right now. Most schools don't have a clear policy yet. Most students were never taught how to use AI well: they just started using it. That's exactly why this course exists.
The Honest Work Code is three rules. They keep you out of integrity trouble while genuinely making your work better. They thread through every academic module of this course. You'll see them again at the start of Module 3 (study), Module 4 (writing), Module 5 (research), and Module 6 (apps). They're the spine.
Print them. Stick them on your laptop. Live by them.
Rule 1.
Learn with it, not instead of it.
Use AI to build the muscle, not skip the workout. If you couldn't explain or defend it on the spot, you didn't actually do it.
You'll be in rooms without AI. A final exam. A job interview. A conversation with your boss when something's gone wrong. A presentation to a class. The students who use AI to learn faster show up in those rooms with the skill. The students who use AI to skip learning show up empty-handed.
What this looks like in practice:
Rule 1 in real life
- Yes: "Quiz me on these flashcards. If I get one wrong, explain why before moving on."
- Yes: "I'm going to teach you photosynthesis in my own words. Find the gaps."
- Yes: "Re-explain this textbook paragraph in plainer English. Then I'll re-read the original."
- No: "Write the answer to this problem and I'll copy it down."
- No: "Summarize the chapter so I don't have to read it." (Reading the AI summary instead of the chapter is exactly the move that loses you the long-term skill.)
Rule 2.
Your work survives scrutiny.
The fastest way to get there: verify what's graded or public. AI hallucinates with confidence. Citations, dates, formulas, quotes, math: double-check before you submit, hit send, or post.
This is the most common way students get in trouble. AI gives you a citation that sounds real: author, journal, page numbers, year, all confidently stated. You drop it into your bibliography. Your professor checks. The article doesn't exist. Now you're explaining "fabricated sources" to your dean.
Same risk for: dates, statistics, math answers, code that "looks right," historical facts, specific quotes, and scientific formulas. AI can be wrong about all of it and sound 100% sure.
The fix is small and saves you constantly:
Rule 2 in real life
- Every citation goes through Google Scholar (or your library) before it goes in your paper.
- Every quote you can't personally verify in the original source comes out.
- Every math problem you didn't work yourself, you work yourself.
- Every "fact" you're about to use in a presentation, check against a real source.
- Every email you're about to send with a date, double-check the date.
Module 5 has the full source-verification workflow. For now, the rule: if it's graded or public, verify it.
Rule 3.
Your prof's rules beat anyone else's rules.
Read the syllabus. Ask if you're unsure. "I checked and it's allowed" beats "I assumed it was fine" every single time.
Every class has a different AI policy. One professor encourages it. The next prohibits it. The third allows it for some assignments and not others. The fourth wrote "use of AI is not permitted on graded work" in week 1 and you forgot.
Right now, most students are running on assumptions. Don't be most students.
Rule 3 in real life
- Open every syllabus. Search for "AI," "ChatGPT," "Claude," "generative," "AI tools," and "academic integrity." Read the actual paragraph.
- If the policy is vague or missing, email the professor with a specific question. ("For Assignment 2, would using AI to brainstorm topics and outline be OK? I'd write the actual essay myself.")
- Save the response. If a question ever comes up later, you have a record.
- If a class doesn't allow AI at all: close the chatbot and do the work the old way. Skill matters; integrity matters more.
Module 4 has the full playbook
We'll go deep on this in Module 4:including the email template for asking a professor about an unclear policy, and the workflow for documenting your AI use so you could defend it in office hours if asked. For now, just internalize the rule: read the syllabus, then ask if it's still unclear.
The Code, all together.
Three lines. Print this page. Stick it where you'll see it.
Learn with it, not instead of it.
Use AI to build the muscle, not skip the workout. If you couldn't explain it on the spot, you didn't actually do it.
Your work survives scrutiny.
Verify what's graded or public. AI hallucinates with confidence. Citations, dates, formulas, quotes: double-check before you submit, hit send, or post.
Your prof's rules beat anyone else's rules.
Read the syllabus. Ask if you're unsure. "I checked and it's allowed" beats "I assumed it was fine" every time.
Where this course actually lands.
This course is for…
- Students who want to use AI to learn faster. You'll get every tool we have.
- Students who want to write better than they could alone: in their own voice. You'll learn the edit-don't-write workflow most professors are happiest with.
- Students who want to study more effectively. Module 3 is yours.
- Students who want to apply for things and tell their real story well. Module 6.
- Students who want a clean conscience and a clean record. The Honest Work Code is the spine.
This course is NOT for…
- Students looking for a workaround to submit AI-written work as their own.
- Students looking for ways to evade AI detectors.
- Students who want to skip learning and still pass.
If you came here for the second list, this isn't the right course.
Why doing this the honest way actually wins
- You build skill. The students who use AI to learn end up smarter than the students who don't, AND smarter than the students who try to skip learning. Both groups lose to you.
- You can defend your work. If a professor asks "walk me through how you got here," you have an answer that doesn't end your academic career.
- You sleep better. The low-grade dread that comes from "what if they figure out" is more exhausting than just doing the work right.
- AI detectors are improving. Workarounds that pass today don't necessarily pass tomorrow. Building real skill is the only AI-proof play.
You finished Module 0.
That's the framing done. Module 1 is the setup.
What you carry into Module 1
- You already got your first win (the syllabus calendar from 0.1:keep that file).
- AI is your tireless tutor: great at drafting, summarizing, brainstorming, explaining, organizing, editing.
- It's bad at medical, legal, financial, mental health, anything live.
- The Honest Work Code: learn with it, verify what's graded, follow your prof's rules.
- This course is for students who want to use AI well, not skip work.
Up next: 1.1: Sign Up for Claude
Module 0 was the framing. Module 1 is the setup. Up next: setting up your Claude account properly (or auditing the one you made on the fly in 0.1), the honest free-vs-Pro talk, and the privacy settings you'll use from day one.
Continue to 1.1:Sign Up for Claude →