Frequently Asked Questions

How do you keep refining your algorithm and where do you get your training data from?

At SpotlessMind, we’re always working to make our system better by solving the most challenging cases first. By focusing on understanding the most complex cases and behavioral outliers—those who don’t fit precisely into traditional models—, we ensure that our system excels at capturing the complexity of human behavior. This approach helps us create a tool that works well for all kinds of personalities.

Our algorithm is built on advanced techniques such as text embedding and sentiment analysis, which allow us to analyze and interpret nuanced responses effectively. We’re also deeply invested in coding and prompt engineering to ensure our system remains innovative.

For training, we rely on a mix of real-world examples and insights from our own team; we intensely “eat our own dog food,” and test our own systems constantly on our very diverse team. The system, our usage, and our testing of it help us make sure the system can handle a wide variety of situations while respecting privacy.

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