LLMday

Large Language Models, Agents & AI Systems

June 18, 2026 House of AI, Hamburg, Germany

1
Day
10+
Speakers
1
Track
100+
Attendees

From Prompt to Play: Creating a Fully Generative Agentic Videogame

Eduardo Pertierra Puche
MaibornWolff GmbH
Abstract

What does a fully generative video‑game look like when the entire interaction surface is a language model? In this talk I present the first proof‑of‑concept of an Agentic Video‑Game, a 3‑D multiplayer world where every NPC, quest, and environment reaction is driven by LLM‑powered agents. By wiring the right architectural layers-state‑centric management, event‑driven orchestration, and a lightweight RAG pipeline that injects lore on demand - we turned a concept into a running prototype that has never been demonstrated before. I will walk through the design decisions that made the system reliable, showcase the live demo, and dive deep into the challenges and lessons learned while stitching together generative AI, real‑time state sync, and production‑grade robustness.

Bio

I am an AI Engineer who has spent the last five years consulting at the forefront of the AI wave. While delivering AI automations for MaibornWolff and the BMW Group, I constantly spin up small projects and PoCs that showcase the power of AI, applying the latest technologies and solid AI‑engineering practices to make solutions deployable and production‑ready. My focus is Agentic Coding—building end‑to‑end AI‑driven workflows that turn experimental ideas into reliable, real‑world systems.

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