# Testing and Refining Your Custom GPT

## Testing Your GPT

1. Once your Custom GPT is trained, it's time to put it through its paces.
2. Engage with your GPT by asking questions, providing prompts, and assessing its responses.
3. Evaluate the accuracy, relevance, and coherence of the GPT's outputs.
4. Test your GPT across a variety of scenarios and use cases to ensure it meets your expectations.

## Refining Your GPT

1. Based on the testing results, identify areas where your GPT can be improved.
2. Refine your GPT by retraining it with additional data or adjusting its configuration.
3. For example, you could modify the training dataset, change the model's parameters, or fine-tune its instructions.
4. Regularly update your GPT with new data to keep it knowledgeable and accurate.
5. Monitor interactions to ensure your GPT continues to serve its purpose effectively.

## Example Prompt for Testing a Product Manager GPT

{% code overflow="wrap" %}

```
You are a Product Manager GPT assistant. Provide a detailed product roadmap for a new project management software, including key features, release timeline, and target audience.
```

{% endcode %}

By thoroughly testing and refining your Custom GPT, you can ensure it delivers high-quality, relevant, and accurate responses tailored to your specific needs.
