Why We Don't Teach Pre-Canned Prompts In Our Class

There's a whole cottage industry selling you "the 100 best ChatGPT prompts." Sealed in a PDF. Tucked behind an email opt-in. Marketed like a spellbook.

We don't teach that.

Not because the prompts are bad. Because they're the wrong unit of learning. A prompt is an answer. We're trying to make you the kind of person who asks better questions — because that's the person AI product teams are actually hiring right now.

(Quick aside: image models are different. For Midjourney especially, save the prompts that hit — visual generation is finicky in ways that reward a personal library. But for Claude and the reasoning models? Different game entirely.)

The five strategies I actually use

These are not prompts. They're strategies. I use them daily — writing articles, drafting proposals, building RAG, designing Agentic AI systems, and vibe-coding entire applications:

1. Plan, code, test, judge. Four steps. Plan the work. Generate it. Test it. Have the model judge its own output against the original intent. I run this loop dozens of times a day. There is no single "prompt" — there are four moves, and they combine differently every time.

2. "Ask me questions about anything you don't understand." One sentence. Dropped into almost any task, it transforms output quality. It surfaces assumptions the model would otherwise quietly hand back to you as confident nonsense.

3. "Analyze this and tell me my blind spots." A judging variant. For when you've drafted something yourself and want eyes that don't share your context.

4. "Analyze the files in this directory." Sounds simple. It's the foundational move for any vibe coding work — you prime the model with full ground truth before asking it to act.

5. "Write and run a CLI test for X." A bridge between thinking and verification. The model can claim that anything works. A CLI (Command Line Interface) test forces it to prove the claim.

These five strategies are just a tiny part of what we teach at the UX for AI Professional Certification cohort, but even they replace several hundred pre-canned prompts. We don't teach you to memorize them — we practice them daily, so you no longer need to remember them, the way you don't need a pre-canned prompt to tie your shoes. We teach our students how to think about what they need for their project, shape the strategy to fit the moment, read the output, and aggressively iterate.

For us D&D nerds: it's less of an exact magical incantation and more of shaping the mana according to general principles to create the exact spell effect that solves the task at hand.

Not a cookbook. A set of general food prep techniques.

Why this matters for your career

The designers and PMs getting hired into senior AI product roles right now are not the ones reciting pre-canned prompts. They're the ones who can use the general AI strategies to create an AI product customers want to buy.

That capability built the Mobot autonomous SOC platform featured on the big stage at AWS re:Invent 2025. 166% Forrester-validated ROI. MTTR from 60 minutes to 3. Four agents, judge-in-the-loop architecture — not 400 prompts.

It's also why Cohort 1 sold out in 11 days. Why my SXSW 2026 workshop sold out day one. Why UX for AI (Wiley) hit #1 New Release on Amazon.

And why Cohort 2 is already 25% full, three days after opening enrollment.

We don't teach quick fixes. We teach the techniques honed for over 16 years, shipping 34 AI/ML products in the real world: Value Matrix ROI/Risk analysis. RAG refactoring. Vibe-coding. Storyboard. Digital Twin. Judge-in-the-Loop. Career-thriving moves, real lasting differentiators. Not cheap pre-canned tricks.

UX for AI Certification — Cohort 2

8 weeks. Live. Taught by me and Daria Kempka, my co-author on UX for AI.

First Session: Friday, June 12, 8 AM PT.

With our expert guidance, you'll build your capstone project -- a complete portfolio artifact using the Snowball Sprint framework on your own use case, showing off your career specialty. You'll leave with the Certified UX for AI Professional credential, a repositioned LinkedIn profile, and — most importantly — the AI strategies that work.

The $500 early-bird discount expires tonight.

Use code EARLYBIRD2026 at checkout:

• Pay in full: $2,500 → $2,000 with code (maximum savings)

• Payment plan: $800 today + $1,300 in 30 days

• 100% money-back guarantee on unused weeks — see terms

After tonight, pricing returns to $2,500 standard. Cohort 1 filled up in 11 days. Cohort 2 launched 3 days ago and is already 25% full.

— Greg

P.S. The market is not rewarding the people with the best prompt library. It's rewarding the people who ship AI products customers actually want to buy using real-world strategies we teach you in our course.

Evolve past the prompt books. Come master the real career-thriving AI delivery strategies — backed by our 100% money-back guarantee on unused weeks.

$500 discount expires tonight at 11:59 PT.

Enroll in Cohort 2 Today →