01
Copy a prompt
Each book begins by calibrating to you, then moves through learning, practice, deliberate errors, and checks.
Learn by prompting
Every AppyLearn Promptbook is a sequence of prompts you run in your preferred AI assistant. The conversation adapts to you; the learning remains yours.
How it works
Bring ChatGPT, Claude, Gemini, or another AI assistant. AppyLearn brings the learning sequence.
01
Each book begins by calibrating to you, then moves through learning, practice, deliberate errors, and checks.
02
Your AI becomes a patient tutor that can use your context, respond to your work, and adjust the pace.
03
You answer, build, recover, and explain. The conversation is the lesson—not a summary of one.
The library
Designed for a real outcome in one afternoon, plus a short recall session the next day to make it stick.
Version control from zero to your first pushed repository.
Build real Git confidence through commits, recovery, branches, a deliberate merge conflict, and GitHub.
A GitHub-backed practice repository with branches and a resolved merge conflict.
Write emails, briefs, and updates people can act on.
Practise turning rough ideas into concise, useful workplace communication with targeted critique.
A clear, audience-ready piece of workplace communication you can reuse as a model.
Turn a blank sheet into a useful tracker, answers, and a clear decision view.
Build a clean table, use practical formulas, recover from common errors, and create a summary someone can act on.
A reliable tracker with formulas and a decision-ready summary view.
Write, test, and debug useful regular expressions without needing to code.
Turn real text rules into precise patterns, catch near-misses, extract useful details, and approach search-and-replace safely.
A tested set of regex patterns you can explain, refine, and safely reuse.
Build one small Python program through variables, decisions, lists, and loops.
A connected, project-based deep-dive where every chapter extends the same practical budget helper.
A small budget helper that processes data and makes a useful decision.
Why it works
The author designs the progression. The AI teaches responsively. You stay active throughout.
Calibration prompts adapt analogies and pace to what you already know.
Questions and explanations make you produce the answer instead of just recognising it.
Practice includes controlled failures so you learn to diagnose and recover with confidence.
A fresh-chat check the next day closes the loop when remembering takes real effort.
“The author's craft is no longer explaining well. It is designing the conversation in which you can't help but learn.”
— the AppyLearn manifesto
Learn a real skill by doing it in conversation.
Explore the library