World Model Readiness Repeatable craft or daily improvisation

Module · Repeatable craft or daily improvisation

The Prompt Craft Check

Most people improvise every prompt from scratch, which means they solve the same problem again every morning. Craft is the opposite: it accumulates. This check looks at the five habits that turn prompting from improvisation into a skill that compounds: whether you reuse what works, whether you iterate on purpose, whether you give the tool what it needs, whether you control the shape of the answer, and whether you know when not to prompt at all.

Question 1 of 5 · You reuse what works

When a prompt works well, do you keep it, or type it fresh next time?

A prompt that worked is a small tool you built. If you retype it from memory each time, you rebuild it worse every day. A saved library, even a scruffy notes file, is where prompting starts to compound.

Question 2 of 5 · You iterate on purpose

When the first answer is not right, do you refine the prompt or just try again?

Retrying the same prompt hoping for luck is not iteration. Craft is reading why the answer missed and changing one thing: adding a constraint, an example, a correction. The second and third pass is where the quality lives.

Question 3 of 5 · You give it context

Do you give the tool the context it needs, or expect it to guess?

The model knows nothing about your audience, your constraints, your prior work unless you tell it. Most weak outputs are not the model failing, they are a prompt that withheld what a competent human would have needed too.

Question 4 of 5 · You control the format

Do you tell the tool what shape the answer should take?

Left to itself the model returns an essay. Craft is asking for the form you actually need: a table, five bullets, a diff, a draft in your voice. Controlling the output format is often the difference between usable and something you have to rewrite.

Question 5 of 5 · You know when not to

Do you know which tasks are not worth prompting at all?

Not everything should go through AI. Some tasks are faster by hand, some are too high-stakes to delegate, some need a judgement only you can make. Knowing when to close the tab is as much a part of the craft as knowing how to prompt.

For the statistics · one click each

Three questions for the public picture

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What does your collection of reusable prompts look like?

I do not keep any
A few in my head
Scattered notes
An organised library
Shared with my team

On a typical task, how many times do you refine before you accept the answer?

I take the first
Once or twice
Three to five
As many as it takes
Depends on the stakes

What do you most often use AI for?

Writing and editing
Coding
Research and analysis
Planning and thinking
Routine admin

Your context

Used to calibrate the report. Company size and sector remain in the anonymized dataset; your email does not.