Overview
The advanced patterns repeatedly exploit the fact that language models are statistical systems.
Independent agents sample different answers. Consensus identifies recurring patterns. Debate forces different reasoning positions to interact. Fresh review removes the accumulated context of the creator.
The discussion also compares these patterns with the idea of a mixture of experts, where several expert components contribute to a model's output. At the agent level, the same broad principle appears again: use multiple reasoning processes and combine them rather than relying on one uninterrupted path.
The practical lesson is not that more agents always create truth. It is that independent samples, structured disagreement, and fresh contexts can reduce some of the weaknesses of a single model run.