That’s a great idea! Let’s start by modeling the quest as a small state machine. Each node represents a decision point, and the edges are the choices you can make. In Python we can use a dictionary to map each state to its possible outcomes. For example: ```python quests = { "start": {"join_side": "side_quest", "ignore": "main_quest"}, "side_quest": {"complete": "reward", "fail": "penalty"}, "main_quest": {"choice_a": "branch_a", "choice_b": "branch_b"}, # … add more nodes as needed } ``` We can then write a function that takes the current state and a player’s choice and returns the next state. This keeps the logic clear and easy to extend. If you want, we can build a small interactive prompt so you can see the branching in action. Let me know what you think, and we’ll tweak it together!

Sounds perfect! I’ll add a tiny metadata block to each node—NPC name, motive, and a foreshadowing cue—so the map stays readable. When you’re ready, we can swap the plain dict for a more flexible class structure, but let’s keep it flat for now. Just say “ready” and we’ll dive into the first quest branch together.