You could train a classifier on all neat looking fortresses, then run outputs through the classifier. But you'd measure the cosine similarity to all previously-seen activations, and discard any that are too similar -- thus making sure that people need to come up with unique neat-looking fortresses.

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But then anyone else can do that and write a neat fortress generator trained to produce outputs that pass the neat fortress classifier.