Most adventure game prompts front-load everything. Here’s the kingdom, the factions, the plot arcs, the villain’s backstory, the ancient prophecy. You get a world handed to you before you’ve taken a single step. The author built it. You’re just walking through their museum.
This prompt does the opposite. The world doesn’t exist until you create it through play. Every choice you make shapes what comes next, and the model has no pre-written answers waiting for you.
What makes it different
Someone on r/PromptEngineering built a dynamic adventure game that generates its world entirely from your choices. No branching trees. No fixed lore. Just a model that remembers what you did and rebuilds everything around it.
NPCs pursue their own goals. They don’t stand around waiting for you to interact with them. If you ignored the merchant for three turns, she already sold that rare map to someone else. If you promised help to the guard captain and then disappeared, he noted it. Factions shift over time based on the collective weight of your decisions, not based on which dialogue option you picked from a menu. Consequences land three turns later with no explanation. That opportunity you skipped? Gone. That alliance you ignored? It formed without you.
What makes this technically interesting is the consistency. The model isn’t just improvising wildly. It’s holding a coherent internal model of the world state and updating it honestly with every turn. That’s harder than it sounds, and it’s why most attempts at this kind of thing fall apart after twenty minutes.
Old way vs. new way
Old way: scripted logic, fixed outcomes, a world an author built before you ever touched it. You’re exploring someone else’s decisions. The fun is in discovering what they built. But the ceiling is fixed. You can’t surprise the world because the world already knows what’s going to happen.
New way: the model IS the game engine. It tracks inventory, wounds, relationships, knowledge. It resolves your custom actions honestly, including failure. If you try to pick a lock you have no skill for, you fail. Not a soft fail with a consolation reward. An actual fail with real consequences. It writes narrative recaps in the voice of the world. The game only exists because the model is assembling it in real time.
That’s a fundamentally different thing. The ceiling is wherever your imagination puts it. You can try to defect, negotiate, run away, or convince a dungeon boss to become your accountant. The model will resolve it. Probably against you. But it’ll resolve it.
⚙️ How to run it without burning your context limit
- 🎮 Use Claude or GPT-4o, free-tier ChatGPT degrades badly under long context. The model needs to hold a lot of state, and smaller models start hallucinating your own inventory back at you after about 15 turns. Don’t cheap out on this one.
- 📌 Drop it into a Project so the instructions get cached, the community figured this out fast. Cached instructions mean you’re not burning context tokens re-reading the system prompt every single turn. You want all that context budget spent on the actual world state.
- 💾 Save progress using the copyable state blocks the prompt generates automatically. These are structured snapshots of your current world: your stats, relationships, active threads, and known information. Paste one back in at the start of a new session and you pick up exactly where you left off. Skip this step and you lose everything after a context reset.
- Try something other than fantasy, the author says the prompt handles a lot more than swords and dungeons. Political thriller, survival horror, corporate espionage, noir detective story. The system doesn’t care about genre. It cares about state and consequence. That generalizes.
The real lesson here
This isn’t really about games. It’s about stateful prompting. The pattern underneath this adventure game is the same pattern you’d use to build a customer support agent that actually remembers context across a conversation, or a coaching tool that tracks a user’s progress over weeks, or a research assistant that holds a persistent model of what you do and don’t know yet.
Persistent state tracking, dynamic branching, honest uncertainty resolution, that’s a pattern worth stealing for any complex agent workflow. The adventure game is just the most vivid way to see it in action because the feedback loop is fast and the consequences are obvious. In a game, you immediately feel when the model loses track of your inventory. In a production workflow, that same failure mode is invisible until something breaks downstream.
Playing through a well-built adventure prompt is actually a useful way to pressure-test your intuitions about what language models can and can’t hold in context. You’ll hit the limits in a low-stakes environment, which is exactly where you want to hit them.
The full prompt is on Reddit. Go read it even if you never roll a single die.
Frequently Asked Questions
Q: Should I use prompt caching to save on costs?
Absolutely, if you use Claude’s API, moving the prompt to a project enables automatic caching, cutting token costs for repeated turns by 90%. ChatGPT Plus doesn’t support caching yet, so you pay full price every turn. If you’re running multiple adventures, caching is a game-changer for your API budget.
Q: Can I run this on free ChatGPT?
You can try, but performance drops noticeably. Free ChatGPT struggles with complex prompts and maintains consistency less reliably, which hurts consequence tracking, the core feature. Most users recommend ChatGPT Plus or Claude’s API for a smooth experience.
Q: How do I avoid burning through my daily API limits?
With caching (Claude API) or smarter session management (ChatGPT Plus), you can run several adventures per day without hitting limits. The prompt’s token usage scales with your decisions, quick, linear adventures use fewer tokens than highly branching, complex ones. Batch shorter adventures into single sessions to maximize caching hits.
Q: Does the prompt accurately track time and turns despite AI’s “time blindness”?
The system works around AI’s weakness by anchoring time in narrative and state blocks, not pure counting. Instead of relying on the AI to count “turn 17,” it grounds turns in described events (“It’s been three days since you arrived at the fortress”). For absolute reliability, some users add a simple counter in the state block that both human and AI reference.
Q: Where’s the best platform to run this?
Claude’s API is the strongest choice due to prompt caching and better multi-turn consistency. ChatGPT Plus is solid but costs more per turn and lacks caching. Free ChatGPT isn’t recommended for serious play, you’ll lose consistency and consequence depth.
I built a dynamic adventure game prompt that generates itself on the fly. No pre-built world. No fixed branches. Just consequence
by u/MisterSirEsq in PromptEngineering