> For the complete documentation index, see [llms.txt](https://docs.yansalabs.com/trendseeker/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.yansalabs.com/trendseeker/overview/introduction.md).

# Introduction

### **The next-best thing to having a clairvoyant on staff!**

TrendSeeker AI detects, analyzes, and reacts to trends on any table in your ServiceNow instance. You define the trend parameters and let TrendSeeker do the rest - set it and forget it!

TrendSeeker identifies issues before they become serious, alerting your technicians and process owners to take preventative action. AI is employed to analyze issues, providing valuable insights on commonalities, root causes, and potential solutions. Use TrendSeeker to proactively protect your organization's processes and data.

{% embed url="<https://youtu.be/FDpfSwY8Ygw>" %}
TrendSeeker Demo
{% endembed %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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.yansalabs.com/trendseeker/overview/introduction.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.