Below is some advice on making D&D.Sci scenarios. I’m mostly yelling it in my own ear, and you shouldn’t take any of it as gospel; but if you want some guidance on how to run your first game, you may find it helpful.

1. The scoring function should be fair, transparent, and monotonic

D&D.Sci players should frequently be confused, but about how to best reach their goals, not the goals themselves. By the end of the challenge, it should be obvious who won[1].

2. The scoring function should be platform-agnostic, and futureproof

Where possible, someone looking through old D&D.Sci games should be able to play them, and easily confirm their performance after-the-fact. As far as I know, the best way to do this for most challenges is with a HTML/JS web interactive, hosted on github.

3. The challenge should resist pure ML

It should not be possible to reach [...]

The original text contained 4 footnotes which were omitted from this narration.

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