Case study
AI Game Agents
An AI-assisted game-development experiment where a small team of role-based agents helps build a 2D trader simulation prototype.
Positioning
This is not an art case. It is a workflow case.
AI Game Agents uses a small web-game prototype as a test field for agentic development. The prototype is a simple trader simulation: NPCs come in, buy and sell items, can be sent on expeditions and bring new goods back into a basic economy.
The visual side uses free assets honestly; the value is the workflow: directing agents, structuring tasks, testing roles and checking whether an AI-assisted production process can create working output.
What it proves
- Curiosity and hands-on use of modern AI development tools.
- Ability to design workflows, not just prompts.
- Understanding of PM, coder and QA roles in a small production loop.
- Fast prototyping mindset around gameplay concepts.
Agent workflow
Role-based agents connected through Linear and Telegram.
The workflow is documented without exposing private tokens, chats or internal credentials, focusing on agent roles, task flow and QA signals.
Next step
Want the full breakdown?
I can walk through the prototype, agent workflow, role split and production decisions in a focused conversation.