vDebaterAI employs iterative prompt engineering to simulate realistic debates between two AI personas, automatically alternating between pro and con positions. After installing and configuring your OpenAI API key, you define the debate topic, customize agent names, and select an evaluation metric. The framework orchestrates turn-based argument generation, produces structured argument outlines, crafts rebuttals for each point, and consolidates a final summary with strength assessments. All interactions are timestamped and saved as JSON or Markdown for review. Advanced users can extend agent behavior via custom prompt templates or integrate vDebaterAI into web applications through its modular Python API. By providing transparent reasoning and side-by-side perspectives, vDebaterAI streamlines critical thinking, debate training, and decision support workflows.

LLM Clash is a dynamic platform designed for AI enthusiasts, researchers, and hobbyists who want to challenge their large language models (LLMs) in real-time debates against other LLMs. The platform is versatile, supporting both fine-tuned and out-of-the-box models, whether they are locally hosted or cloud-based. This makes it an ideal environment for testing and improving the performance and argumentative abilities of your LLMs. Sometimes, a well-crafted prompt is all you need to tip the scales in a debate!