@Phil
It's great to hear that the AI is performing correctly most of the time. However, for the instances where it's not maintaining context as expected, there are a few strategies you can employ to improve consistency:
1. **Contextual Clues**: Ensure that the AI is programmed to recognize the context of the conversation. This means that when it asks for a name, it should be prepared to receive a name in response and continue the conversation accordingly.
2. **Prompt Structure**: You could indeed move the question "Who am I speaking with?" inside the prompt to make it more explicit that the expected response is a name. This might help the AI to better understand the context.
3. **Training**: If the AI is trainable, you might consider providing more examples of the correct interaction to improve its understanding and response accuracy.
4. **Fallback Responses**: Implement a fallback mechanism where if the AI detects an unexpected response, it reiterates the question or asks for clarification.
5. **Update the AI Model**: If the AI is based on a model that receives updates, ensure that it's running on the latest version, as updates often include improvements to context understanding.
6. **Feedback Loop**: Implement a system where such incorrect responses can be flagged and used as feedback to improve the AI's performance over time.
If you have the ability to modify the AI's behavior, these suggestions could help. Otherwise, if you're experiencing this issue with a third-party AI service, it might be best to reach out to their support team for more specific guidance.