What do I do if Phoenix provides incorrect results?

Every part of Phoenix has undergone significant testing and improvements by world-class engineers to ensure the best possible user experience. However, if you encounter incorrect or unsatisfactory results, there are several steps you can take to improve output accuracy:

1. Check the Input Fields:
   The quality of your output is directly influenced by the accuracy and clarity of your inputs. Make sure that the information you provide in the input fields is as targeted and relevant as possible. Overly broad, vague, or off-topic inputs can lead to less accurate results, while inputs that are too narrow may not provide enough context. Take time to carefully craft your inputs to ensure precision.
2. Select the Right AI Model:
   Phoenix offers different AI models, including those from OpenAI and Anthropic. Each model has its own strengths, and some may outperform others depending on the specific task. For example, in certain cases, top-tier models may yield better results than lower-tier models, or OpenAI's models may perform better than Anthropic’s (or vice versa) depending on the content or context. Whenever possible, choose the model that is best suited for your needs.
3. Refine Your Inputs:
   If you find that the output isn't of high quality, try refining your input. Providing additional context, more precise data, or a better-focused prompt can significantly improve the results. The more accurate and relevant your input, the more likely the output will meet your expectations.
4. Reach Out for Help:
   If, after refining your inputs and choosing the appropriate model, you still encounter issues, we’re here to help. You can contact us via https://phoenix.lunartech.ai/contact or send an email to support@lunartech.ai. Our team will be happy to review your issue and assist you in finding a solution. We'll respond as quickly as possible to ensure you get the support you need.

By following these steps, you can improve the accuracy of your results and make the most out of Phoenix’s AI-powered tools. Remember, providing clear, accurate inputs and choosing the right model are key to generating high-quality output. If problems persist, don’t hesitate to get in touch—we’re committed to ensuring you have the best experience possible.