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WeMadeThis: Worldbuilding Fact Extraction
This talk demonstrates a collaborative worldbuilding tool using LLMs to extract and organize user-generated content via interactive role-play and real-time fact extraction.
I’m excited to present WeMadeThis.World, a web application and Discord bot that enables collaborative world-building through interactive role-play with a language model (LLM). Instead of having the LLM generate content, I’ve flipped the script to use it for extracting and organizing user-generated content through role-play sessions with an LLM-based interviewer. In this system, the AI prompts you!
Live Demo Highlights:
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Main Functionality: I’ll demonstrate how users can jump into character and contribute to the world’s lore, while the LLM extracts key “facts” in real-time.
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Discord Bot Integration: I’ll explore how the Discord bot brings this experience directly into Discord servers, making it easy for communities to engage.
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Dynamic Wiki Showcase: I’ll highlight the dynamically generated wiki that updates in real-time, showing how both the taxonomy and content evolve as users contribute.
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Real-Time Fact Extraction: I’ll run a large-scale fact extraction during the demo to showcase how the system efficiently handles extensive data inputs.
AI-driven TTRPG platform manages lore, generates 5e stat blocks, and dynamic wikis.