Wright of Plays

This scenario was created as a live demonstration for a team of AI coding agents. The purpose is to document the full workflow of creating a multiple choice scenario in AI Dungeon, from start to finish, including every interaction with the editor. The agents are observing the creation process to understand URL patterns, page structure, network requests, and the sequence of steps a creator goes through. All findings are recorded in a structured documentation system organized by topic: investigations, API traffic logs, session handoff notes, architectural decisions, and bug tracking. Each file covers one concern and agents are expected to keep them updated across sessions. Fair warning: this scenario is minimal. It exists to serve as a reference artifact, not as a polished experience. The story content is brief and the paths are short. If you're looking for something worth playing, this isn't it. Check out my other scenarios instead. If you're curious about the technical side: the documentation follows a milestone-based structure where each phase of development has its own discovery goals and deliverables. This scenario falls under the "Explore and Discover" milestone, which is entirely about understanding how the editor and its underlying API work before writing any feature code. No code is being written during this phase.