# Policy Type Recommendation Engine

Navigating the world of life insurance can be daunting, especially for those unfamiliar with the intricacies of different policy types. That's where our Policy Type Recommendation Engine comes into play.

For users who already have a clear understanding of their insurance needs, our platform provides the flexibility to select a specific policy type directly.&#x20;

However, for those seeking guidance, our recommendation engine assists by posing a series of straightforward yet enlightening questions. These queries delve into users' objectives, their inclinations regarding cash value accumulation, the nature of death benefit protection they seek, and their preferences related to premium characteristics.

Our platform is designed with the user's education in mind. Each question in the recommendation engine is accompanied by concise explanations that demystify complex insurance topics. For those seeking a deeper understanding, tooltips are available, offering additional insights into each topic.

Upon analyzing the user's responses, the recommendation engine provides tailored advice, suggesting suitable policy types such as term life insurance, indexed universal life insurance, variable universal life insurance, or whole life insurance.&#x20;

It's worth noting that private placement life is not recommended by the engine. These are specialized policies and can be chosen directly by users who are aware of their distinct features and benefits.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.whiteswan.io/partner-knowledge-base/platform-overview/client-experience/policy-type-recommendation-engine.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
