Show HN: Pit Claude, Codex, and Gemini against each other, and apply the best (github.com)

Voratiq has launched in public beta, offering a tool that enables users to run multiple AI models—specifically Claude, Codex, and Gemini—simultaneously to identify and implement the best solution for a given problem. This innovative platform is designed to enhance decision-making in AI/ML applications by allowing users to compare results from different agents in parallel and apply the most effective one. The tool can be installed via npm, and while it currently supports macOS and Linux, Windows users will need to wait for future compatibility. The significance of Voratiq lies in its ability to streamline workflows in AI development by automating the selection process among different models. This is particularly relevant in environments where fine-tuning and optimizing performance are critical. Users can initialize a workspace, define specifications for tasks (like fixing bugs), and execute the agents to see which output provides the best result—thereby making AI applications more efficient and reliable. With the ability to evaluate and integrate model outputs seamlessly, Voratiq has the potential to change how developers harness AI resources across various platforms.