Services
Last updated
Last updated
We offer end-to-end AI integration solutions, from basic implementations to full-scale AI agent design.
Basic Chat AI Agent Functionality – Bring NPCs to life with AI-driven dialogue and personality-based interactions.
Game Design & Core Loop Integration – Ensure AI agents enhance core gameplay loops without disrupting balance.
Bespoke AI Agents – Custom-built agents designed for unique in-game roles (AI-driven shopkeepers, trainers, quest-givers, etc.).
Proof-of-Concept / MVP Development – Create a small-scale prototype to test AI integration before full deployment.
The game sends a request to the Agent endpoint (triggered by the player)
AI agents provides decisions only when requested. The game "pulls" a decision from the AI based on the current environment.
In this case, the player explicitly triggers the request. Ideal for chat, strategy-based gameplay, NPC interactions, and turn-based decisions.
Examples
Planet Mojo Poker Agents receive the current state (hand, board), decide moves based on the poker match history
Nifty Island: AI-driven NPCs on specific islands engage in conversations with players, responding with unique personality-driven dialogue.
The game sends a request to the Agent endpoint (triggered by the game silently)
In this case, the game constantly runs a check in the background regarding the its state and then sends an AI agent request quietly (meaning, the player does not see this request) when it sees fit. This gives the illusion that AI agents run autonomously, making decisions based on the environment-action data feedback loop. Best suited for open-world games, survival mechanics, and emergent storytelling.
Examples
Roblox Game: AI-driven NPCs “autonomously” patrol, interact, and respond dynamically to players, adjusting their behavior in real-time.