Hi Saltlife Kid,
To set up a feedback loop for training an assistant, consider the following:
1. **Call Analysis**: Utilize the call analysis feature to gather insights from each conversation. This can include call summaries, structured data extraction, and success evaluation metrics. These insights can guide the refinement of the assistant's responses.
2. **Dynamic Variables**: Incorporate dynamic variables to customize responses and maintain context. This will help adapt the assistant's behavior based on feedback.
3. **Assistant Configurations**: Make use of persistent or temporary assistants depending on your needs. These configurations allow you to experiment with different settings and improve the assistant based on collected feedback.
4. **Prompting**: Review the prompting best practices to ensure the assistant's responses are engaging and effective. Adjust the system prompts to improve the conversation flow.
For a more detailed guide on customizing your assistant and using fine-tuned models, refer to the documentation on [Assistants](
https://docs.vapi.ai/assistants) and [Fine-tuned OpenAI models](
https://docs.vapi.ai/customization/custom-llm/fine-tuned-openai-models).