Prompt to Production
Stop being a vibe coder.
Ship software you can actually explain. A text-first course that installs the loop senior engineers use: spec → build → verify → deploy → observe → iterate.
A$39 one-time. Lifetime access. No subscription.
If any of this sounds familiar
You’re not bad at coding.
You’re missing a loop.
- You ship AI-generated code and could not say why it broke when it does.
- “Works on my machine” is the high-water mark. A stranger has never used the thing.
- Your tests pass. The feature is still broken. You only find out from a user.
- You are fluent in code you cannot explain. The model wrote it; you accepted it.
- Every project is a fresh start. Nothing compounds. The next one is no faster than the last.
None of these are talent problems. They’re a missing discipline — six steps, in order, run on every product. This course installs that discipline.
What you walk away with
By the last unit, you will have:
Chapter 1
A spec a stranger could read and build from
Chapter 2
A vertical slice — one datum flowing end-to-end
Chapter 3
A test harness that catches bugs you planted on purpose
Chapter 4
A live public URL a stranger on cellular can use
Chapter 5
Three production signals you actually check
Chapter 6
One shipped change with zero regressions
Chapter 7
Your own product, run through the same loop end-to-end
Throughout
A rubric you can apply to your own work — no human grader
The product is small on purpose. The repeatable loop you run on it is the actual artifact — that is what makes the next product faster than the last.
Syllabus
8 chapters · 40units · ~11 hours
Every unit is four beats: principle → do → verify → reference. Click any free unit to read it now. Paid units unlock after purchase.
Ch 0MindsetPsychological5 units· ~55 min
Fast is not sloppy. Define what 'shipped' and 'real' mean.
Ch 1SpecMedium5 units· ~74 min
If you can't say what you want, you can't verify it.
Ch 2BuildMedium5 units· ~97 min
Build the vertical slice first, not features.
Ch 3VerifyPEAK7 units· ~114 min
You can only trust what you can verify.
Ch 4DeployHigh point5 units· ~82 min
Running on your machine is not shipped.
Ch 5ObserveMedium5 units· ~77 min
If you can't see it, you can't fix it.
Ch 6IterateMedium4 units· ~60 min
Production feedback is the best source of requirements.
Ch 7CapstoneIndependent4 units· ~103 min
Run the whole loop on your own idea, no scaffolding.
The format
Text-first, on purpose.
Most AI courses are 5-hour video playlists shot the week the tool launched. The UI changes; the videos rot. You watch instead of doing. By the end, you have notes, not a product.
| Most “build with AI” courses | This course | |
|---|---|---|
| Format | Video | Written units |
| Time to first action | 10+ minutes of preamble | ~2 minutes |
| Half-life | Rots when the tool ships a new UI | Principles outlast tool changes |
| What you do | Watch someone else code | You code; the unit verifies you |
| Feedback | Comments section | Self-grading rubric |
| End state | A demo on localhost | A deployed, observed, iterated product |
Every unit, four beats
- 1. Principle. One durable idea, stated in ≤ 150 words.
- 2. Do.Hands on the keyboard. One concrete action on the same product you’ve been building.
- 3. Verify. A test you run yourself. Pass or fail in 30 seconds. No grader needed.
- 4. Reference.The worked answer — locked behind “I tried it,” so you can’t skim past the doing.
Pricing
A$39. One-time. Lifetime access.
- ✓All 8 chapters, 40 units, all future updates
- ✓Free Chapter 0 + first unit of Chapter 1 — taste the format before you pay
- ✓No subscription, no upsell, no email drip
- ✓Reference repos for every chapter so you can diff against your own work
Frequent objections
Honest answers.
Who is this for?
Engineers, designers, and product people who already write code (or AI-write it) and want to ship things that actually work. If you have built at least one weekend project with AI and felt you were faking it, this is for you. If you have never written a line of code, start somewhere else first.
Do I need to know how to code already?
Yes — at the level of being able to read JavaScript, run a terminal command, and follow along with what AI generates. The course is not a programming primer. It is a discipline you wrap around the code you (and the model) already produce.
Which AI tool? Which framework?
It works with whatever you're already using — Cursor, Claude Code, ChatGPT, Copilot — and any web stack. The course teaches the principles. The implementation examples are explicitly disposable; if your tool changes next quarter, the principles still apply.
Why text instead of video?
Three reasons. (1) Text is faster to skim, search, and reference. You will return to specific units; you will not rewatch a 12-minute video to find the one minute that mattered. (2) The principle of every unit must survive a tool changing its UI next month. Text decouples the idea from the implementation; video does not. (3) The course is do-shaped, not read-shaped. Your hands belong on the keyboard inside two minutes of each unit. Video pulls them off.
How long does the whole course take?
About 12–18 hours of reading and doing, spread how you like. Most learners take 1–2 weeks at an hour or two per evening. Chapter 7 (the capstone) adds another 5–10 hours because you build a product of your own.
What is the actual product I build?
A public product feedback board. Visitors submit feedback; you (the owner) read it on a password-gated /admin page. It is small enough to ship in a week and big enough to exercise every layer the course teaches — frontend, backend, database, deploy, monitoring, iteration. Chapter 7 then asks you to run the same loop on a product of your choosing.
What if I get stuck?
Every unit ends with a reference: the worked answer, locked behind 'I tried it.' If a unit's verification step fails, you have a named bug you can search for or feed back to your AI tool. No human support is included — the design rejects any feedback loop that depends on someone else replying.
Will the course go out of date?
The principles will not. The illustrative examples (which AI tool, which framework, which DB) are explicitly labeled disposable and quarantined to the 'Do' and 'Reference' beats. The 'Principle' of every unit is written so a tool change next quarter does not require rewriting it.
The loop only starts when you do.
Chapter 0 is free and takes about an hour. By the end of it you’ll know whether this is for you.