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Interesting approach, I'd love to learn more about.

We have been testing different solutions for this problem, and for now Nightwatch's LLM tracking stands our particularly.

They allow you to configure the phrases manually, and have more control to set it up.

You might want to check for yourself: https://nightwatch.io/ai-tracking

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Thanks for the feedback - we will soon allow users to input their own topics/questions - so I’m not surprised to read your preference for it at all. That being said - one of the challenges is how do you ask questions in the voice of the target persona. That’s the tricky part & why we started with the suggested questions first.

How exactly do you determine which questions you ask and the voice of the target persona?

Do you have some actual data to back-up the approach or you are using hypothetical questions?

We’re playing with a combination of things (frontier models, open weight/open source models we’re maintaining, data) but those two items are key focus area for development.

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