The 60-Prompt Starter Pack for Everyday Coding
by Laura Mbeki
One hundred and eighty tested Midjourney recipes for hero art, icon sets and mockups.
LM Created by Laura Mbeki
Every bullet below is something you will have built, shipped or be able to explain by the time you finish the last lesson.
4 modules · 6 lessons · 45m of material
1 lesson running 6m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.
Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.
2 lessons running 15m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.
Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.
2 lessons running 16m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.
Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.
1 lesson running 8m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.
Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.
4 modules · 6 lessons
45m total length
Short list, and deliberately so. If you meet these you can start today.
Developers need images more often than they admit: a hero for the landing page, an empty-state illustration, an icon set that matches, a texture for a slide nobody will read twice. This pack is one hundred and eighty Midjourney recipes built for exactly that work, not for gallery art.
Recipes are grouped into nine visual families, among them soft gradient abstracts, isometric product scenes, flat vector icon sheets, dark glassy interface renders, hand-drawn documentation sketches and grainy editorial photography. Each family opens with a reference grid so you can see the look before you spend a single generation, and each recipe lists the parameters that matter, the ones that do nothing, and the two or three swaps that shift the result without collapsing the style.
Critically, every recipe includes a seed and aspect-ratio note so you can produce a set that actually looks like a set. There is a short section on keeping a series consistent across many prompts, which is where most people give up.
The download contains the recipes as Markdown and Notion, a plain text copy for pasting, and the reference grids as images. Access is emailed as a library link the moment payment clears.
Still unsure about something? Write to misteryjj100@gmail.com and a human answers, usually the same working day.
Reviews are written by people who bought this course. We publish the critical ones too.
4.5
Rated 4.5 out of 5Course rating · 2 reviews
Oliver Pike
Product designer
Anyone can hand you a prompt. Teaching you what to change when the output is eighty percent right is the actual craft, and there is a whole section devoted to it. I have stopped starting over and started nudging.
Nathalie Roux
UI designer
The style families are well chosen and the section on holding a set together is what I actually use week to week. A handful of the recipes reference parameters that have since changed behaviour, so you do have to adapt as you go. Worth knowing before you buy rather than after.
Prompt engineer and AI workflow designer
Laura went independent after seven years of agency work and now designs the prompt libraries that sit behind other people's products. She treats prompting as engineering: versioned prompts, a held-out evaluation set, a regression run before anything ships, and a token budget you have to hit. Her packs are the ones she uses with her own clients — briefing, rewriting, summarising, review — rather than sanitised examples, and each comes with notes on where it fails. She keeps every pack working across ChatGPT, Claude and a small open model, so the technique outlives the model.
One-time payment · lifetime access