NewClarity-AI-powered knowledge and content tool.

Example

When a user is studying the principles of machine learning, NewClarity prompts questions like 'How does supervised learning differ from unsupervised learning?' and 'Why is overfitting a problem?' to encourage the user to reflect on and explain key concepts.

Scenario

A student preparing for a data science exam would use NewClarity to test their understanding of topics by answering progressively more challenging questions, helping them solidify their knowledge.

Example

If a user starts exploring basic principles of economics, NewClarity tailors its responses and questions to the user's level of comprehension, moving from basic supply and demand concepts to more complex ideas like market equilibrium, only when the user demonstrates mastery of earlier topics.

Scenario

A professional seeking to expand their knowledge of economics for a new job role would receive content that matches their current understanding, ensuring they build a solid foundation before diving into more advanced material.

Example

When a user misunderstands a concept like 'correlation vs causation,' NewClarity intervenes by providing clarifications and posing additional questions such as 'Can you think of an example where two things are correlated but not causally linked?' to correct misconceptions.

Scenario

In a classroom or tutoring scenario, a student might struggle with logical fallacies. NewClarity detects this and adjusts the conversation to focus on clearing up confusion through examples and targeted questions.