Curriculum
10 lessons across 3 tracks. Every lesson ends in something you write and get scored on.
Foundations
FreeThe five moves that account for most of the gap between a mediocre result and a good one. Free, complete, and enough on its own to be worth your afternoon.
FOUNDATIONS · 01
Give it what it cannot know
Work out which facts the model is missing for your task, and supply those instead of over explaining or under explaining.
12 min · 4 rubric criteria
FOUNDATIONS · 02
Decide what done looks like first
Write a request whose result you could grade mechanically, so you can tell success from failure without rereading it four times.
12 min · 4 rubric criteria
FOUNDATIONS · 03
One example beats five adjectives
Replace vague quality words with a worked example that pins down the style, structure and level of detail you actually want.
10 min · 4 rubric criteria
FOUNDATIONS · 04
Check what you cannot check by eye
Build a verification step into your workflow so you catch confident, plausible, wrong answers before you act on them.
15 min · 4 rubric criteria
FOUNDATIONS · 05
Know when the answer is to close the tab
Recognise the tasks where using a model costs you more than doing the work yourself, and stop before you have sunk an hour into it.
12 min · 4 rubric criteria
Applied
ProReal work. Long documents, messy sources, answers that came back wrong, and getting the same quality on run one hundred as on run one.
APPLIED · 01
Documents too long to trust
Get reliable answers out of long documents by controlling what the model attends to, instead of pasting everything and hoping.
18 min · 4 rubric criteria
APPLIED · 02
Debug the answer, do not reroll it
Work out which part of your request caused a bad output and fix that, instead of regenerating until something looks acceptable.
16 min · 4 rubric criteria
APPLIED · 03
The hundredth run should match the first
Turn a prompt that works once into one that works every time, and know which failures are bugs and which are variance.
18 min · 4 rubric criteria
Building
ProFor people wiring models into software. Tools, evaluation, and the failure modes that only show up once something runs without you watching.
BUILDING · 01
When a model needs tools, and when it does not
Decide whether a task needs tool access, retrieval, or neither, and spot the cases where adding tools makes reliability worse.
20 min · 4 rubric criteria
BUILDING · 02
Know whether a change made it better
Build an evaluation you trust, so you can tell a real improvement from a change that felt good on the three examples you happened to try.
20 min · 4 rubric criteria