Claims Engineer-tool for claim optimization

Example

If a user asks, 'How can AI help businesses?' I refine this to specify the type of AI, industry, and business function, such as 'How can machine learning optimize inventory management in retail businesses?'

Scenario

This function is crucial in situations where users are unfamiliar with how detailed their queries need to be to generate useful responses from AI. It ensures that prompts are not only precise but also tailored to elicit detailed and relevant information.

Example

Turning a poorly structured request such as 'Tell me weather, location not sure' into a well-structured query: 'What is the current weather forecast for New York City?'

Scenario

This function is applied when users provide incomplete or unclear information, possibly due to haste or lack of clarity about what details are needed. By restructuring the prompts, I help create more specific and actionable queries that lead to better responses.

Example

Enhancing a simple command like 'Find me a good book' by expanding it to 'Can you recommend a book that blends mystery and historical fiction, ideally set in Victorian England?'

Scenario

This helps in scenarios where users seek engaging and deep interactions but may not articulate their needs fully. By enriching the prompts, the interaction becomes more personalized and satisfying.