Random Wasteland Encounters + Generator (DND 5e)

1,072+ DND 5e+ Random Wasteland Encounters powered by GPT-3 AI!

AI-generated Fantasy Wasteland Encounter Ideas Table (Pathfinder and MERPs friendly!)

D4 Random Wasteland Encounters

  1. A group of lizard men who are riding around the area searching for a group of humans who have stolen something from them. They have 2d4+2 lizard men and have captured 3d4+3 humans, who are tied up and are being used as hostages.

  2. The characters meet an elderly woodcutter and his son. They inform the characters that the area is dangerous because of the number of rakshasai located in the area. They have been warned to avoid the area. The characters should be able to understand them (if the characters don't have the ability to understand the language, the characters should be able to share memories, and then they can understand the language).

  3. A small group of tentacle monsters are attacking a town. They attack anyone who gets in the way, since they aren't able to talk. The tentacle monsters are looking for something important to them. They are attacking the town because the town is close by where the items were stolen.

  4. Ragged human tribesmen. There are 2d6 tribesmen and 10d10+20 tribeswomen with them.

Generated by GPT-3 and lightly edited by a human.

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Random Dungeon Encounter Ideas Books

I have an ebook and print copy of 500 random dungeon encounters that is available now at Amazon as an ebook or softcover print and contains the following DM goodness inside...

  • Random Dungeon Encounters x 500
  • Adventure NPCs x 50
  • Gnome and Centaur Names x 20 each
  • Dungeon and City Names x 20 each

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About Random Encounters AI

I'm Paul Bellow, a LitRPG author and creator of this site. I also run LitRPG Adventures, a set of advanced AI RPG generators and a growing library of RPG tabletop content generated by GPT-3 API from OpenAI. If you want to learn more about how I put thistogether, I've got a blog post about creating a D&D random encounter generator with an advanced language model neural net. Don't worry, I don't get too technical!

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