Illustration System Brief
Defines the rules that make twenty illustrations look like one set rather than twenty individual pictures.
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Running it, start to finish
- Name the primary job the system serves.
- Fix line weight, palette, perspective and abstraction level as stated rules.
- Produce three, test them at real sizes, then extend.
What you get back
The output this produces, every time.
- Defines the small number of rules that actually create coherence across a set.
- Makes representation a deliberate stated decision rather than an accumulation of defaults.
- Writes the extension rule, which is what makes it a system rather than a batch.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Hold perspective constant. Mixing flat and isometric is the fastest way to make a set look like unrelated pictures.
- Test at small size and on dark. Illustrations that break in either are the most common practical failure and it is found after the whole set is made.
- Produce three and review. Commissioning twenty before checking the system holds is how a whole set gets remade.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.