CHOOSEAgents & automation
AI Civilization Simulation
Lovepreet Singh@SinghDevHub
2:57This project simulates an AI civilization where individual agents make decisions using Jev, guided by a GPT world director and built with Devin's assistance, all within a Three.js environment.
TakeHere’s how it works: - Jev receives a citizen’s state, nearby observations, and available actions.
I built a tiny AI civilization using @typesafeai 's Jev + @DevinAI + GPT.
48 citizens share an island. Each has a role, skills, hunger, energy, health, and memories:
• Farmers produce food.
• Builders gather resources and construct buildings.
• Nurses treat injured neighbors.
• Guards patrol and deter theft.
• Thieves look for opportunities to steal.
Here’s how it works:
- Jev receives a citizen’s state, nearby observations, and available actions. It chooses what to do next: eat, rest, farm, build, help someone, or pursue its own interests.
- GPT acts as the world director, proposing events such as construction, weather, discoveries, and new arrivals.
- Devin helped build the simulation and its Three.js world.
- The important part: models choose, but code enforces the rules. Buildings require resources and work. Invalid actions get rejected. Local rules keep citizens moving while model decisions are pending.
> What happened over 12 minutes:
• All 48 citizens survived.
• 392 Jev decisions were applied, alongside 1,704 local-rule decisions.
• The settlement reached 16 completed buildings.
• The director commissioned a watchtower, brought rain twice, and introduced a discovery.
• Two construction proposals were rejected.
• OpenRouter-reported model cost: approximately $0.023.
It’s not a mature civilization yet. We hit the building limit, and food accumulated too quickly. The next challenge is making scarcity, trade, and competing goals meaningful.
But we now have a working loop:
Observe → decide → act → live with the consequences.
Watch the 5× recording below. Code repo link is in the thread.
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