The post discusses innovative techniques to improve AI performance by enabling it to argue with itself. Users share their experimentation with workflows where AI agents engage in dialogue, allowing the initial agent's output to be critically evaluated by a second agent designed to enforce stricter criteria. Concepts like the use of self-critique and structured dialogue are highlighted as effective for generating more insightful responses from AI models. There are mentions of specific AI models, user experiences with their frameworks, and the comparative strength of newer models like Mistral and Gemma. This approach is said to facilitate deeper reasoning and possibly lead to novel idea generation. However, a caution is raised about the terminology surrounding AI 'thinking' since these models do not genuinely think but operate based on programmed parameters and data.