Mad Science with Tracery
by Mark Gritter | at MinneBar 12
Tracery is a language for generating random text based on a grammar you specify, with implementations in JS, Python, Ruby, and Twine. It has been used to create a wide variety of content, from Twitter bots to dialogue in games to SVG graphics. Tracery itself is just JSON, so you can write Tracery code that outputs Tracery!
Bring your laptop, and this quick introduction will have you writing your own procedurally-generated content in no time!
Mark Gritter
Mark Gritter is a Founding Engineer at ThirdLaw, his fifth startup experience, building monitoring and control for AI systems.
Mark formerly worked at Akita Software and Postman on API observailbity; at HashiCorp on the Vault team; co-founded Tintri, an enterprise storage company that IPOed in 2017; and was a day-one employee at Kealia, a video streaming startup acquired by Sun Microsystems in 2004.
Mark's previous Minnebar presentations have covered topics such as correctness of algorithms, combinatorial auctions, scaling a startup, building a file system, and procedural content generation.
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