Blade Games AI Agent Use Cases

Social Network Influence Systems for NPCs

NPCs will be able to maintain relationship networks that dynamically shift based on player actions. Actions affecting one NPC will ripple through their social connections, creating emergent storylines. Because some of the main NPCs in AI games will have their own social media account, the storylines will be generated from the new content and interaction posted.

Every NPC remembers past interactions and shares information with their social circle, similar to Rimworld's social interaction system but with deeper consequences.

Procedural Quest Generation

AI generates contextually relevant side quests based on the player's current status, location, and past choices. Missions can dynamically adapt difficulty and rewards are based on player performance metrics.

For example, think No Man's Sky's procedural mission system, but with deeper narrative coherence.

Automated Trading Bot

Users can create trading bots with Blade Games’ AI agents to automate in-game asset trading and portfolio management. By providing training materials on topics like asset allocation and arbitrage, users can customize bots for different strategies based on their risk tolerance and goals.

Simple dollar cost averaging is easy to implement, while more complex tactics like mirroring volume weighted average price targets over time require greater bot discretion. Overall, this allows users to deploy customized bots that opportunistically trade and manage portfolios according to their in-game goals and investment targets .