Ari Heljakka

This talk explores how the Model Contest Protocol (MCP) can be used to stabilize AI agents and agent networks. The core idea is that by systematically evaluating agent behavior and providing feedback, agents can learn to improve their performance and consistency, especially when tackling complex problems. This approach aims to create more controllable, transparent, and self-correcting agent systems.