Use Case

TheMarquis, a Web3 gaming platform on Starknet, needed to enhance their flagship game Ludo with AI-driven strategic insights. They wanted to create an intelligent advisory system that could analyze gameplay and provide real-time recommendations while maintaining the game's competitive nature.

Challenge

• Creating AI agents that could analyze complex game states in real-time

• Developing a system that could support multiple playing styles

• Ensuring natural player interaction without overwhelming human decision-making

• Integrating AI capabilities into the existing Rust-based gaming environment

• Building a scalable solution that could accommodate future game enhancements

Project Goals

• Implement AI advisors capable of analyzing game states and suggesting optimal moves

• Create personalized strategy recommendations for different play styles

• Deliver insights in a natural, easy-to-understand format

• Integrate seamlessly with the existing gaming infrastructure

• Design a flexible system that could support future game mechanics

Solution

An AI strategy advisor:

Game Analysis

• Processes real-time game states and legal moves

• Evaluates risks and opportunities

• Identifies optimal token movements based on dice rolls

Strategy Customization

• Supports multiple playing styles:

• Conservative (protection-focused)

• Balanced (calculated risks)

• Aggressive (offensive plays)

• Provides contextual explanations for recommendations

Technical Integration

• Seamlessly integrates with TheMarquis's Rust environment

• Maintains responsive performance during gameplay

• Supports modular updates for future enhancements