Developer Builds AI Self-Evaluation System to Improve Minecraft Combat Agent

A developer working on a Minecraft mod called Cloud Swords has built an evaluation framework to assess the quality of decisions made by an AI combat advisor agent. The agent, powered by a large language model, recommends how many ally minions to summon based on the player's health, nearby enemies, and biome. Because the model's outputs vary between calls, traditional assertion-based testing was insufficient, prompting the use of a second AI instance as an automated judge. The developer created a dataset of over 20 real in-game scenarios with expected behavior ranges, then had the judge model score each decision for proportionality, coherence, and rule compliance. This self-evaluation loop allows the system to identify weak decisions and iteratively improve the agent's combat recommendations.