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

# Kaiya

- [Understanding AI Agents & Agentic Flows](https://help.tellius.com/tellius-documentation/kaiya/understanding-ai-agents-and-agentic-flows.md): Understand how AI agents work in Tellius. Create, edit, and publish agentic workflows using the Agent Library, and trigger automated insights with Kaiya.
- [Glossary](https://help.tellius.com/tellius-documentation/kaiya/understanding-ai-agents-and-agentic-flows/glossary.md): Explore a detailed glossary of Kaiya AI Agents, their functions, and Agentic Flows for no-code, automated data analysis and insights.
- [Composer](https://help.tellius.com/tellius-documentation/kaiya/understanding-ai-agents-and-agentic-flows/composer.md): Build and test custom agentic workflows in the Kaiya Composer. Define steps, triggers, and data sources, then preview your workflow in real time before publishing.
- [Triggering an agentic workflow](https://help.tellius.com/tellius-documentation/kaiya/understanding-ai-agents-and-agentic-flows/triggering-an-agentic-workflow.md): Agentic workflows in Tellius: learn how queries trigger planners, AI agents, and execution steps to deliver insights, visuals, and clear results.
- [The art of possible](https://help.tellius.com/tellius-documentation/kaiya/understanding-ai-agents-and-agentic-flows/the-art-of-possible.md): Explore real-world examples of AI agents and agentic workflows across industries, showing how automated analyses uncover insights, explain trends, and drive decisions.
- [Kaiya conversational AI](https://help.tellius.com/tellius-documentation/kaiya/kaiya-conversational-ai.md): Explore Kaiya conversational AI in Tellius—ask questions in natural language, analyze data, and get instant insights with AI that learns and adapts over time.
- [Triggering Insights with "Why" questions](https://help.tellius.com/tellius-documentation/kaiya/kaiya-conversational-ai/triggering-insights-with-why-questions.md): Ask “why” questions in Kaiya to auto-generate Insights—analyzing key drivers, time periods, and metrics to uncover causes behind business changes.
- [Mastering Kaiya conversational AI](https://help.tellius.com/tellius-documentation/kaiya/kaiya-conversational-ai/mastering-kaiya-conversational-ai.md): Master advanced Kaiya capabilities in Tellius—from live data queries to comparisons, trends, filters, and diagnostic insights—all through natural language.
- [Kaiya Learnings](https://help.tellius.com/tellius-documentation/kaiya/kaiya-conversational-ai/kaiya-learnings.md): Teach Kaiya how to interpret terms with Business View-level or system-wide learnings, ensuring Tellius understands phrases in your exact business context.
- [Kaiya Terms of Service](https://help.tellius.com/tellius-documentation/kaiya/kaiya-conversational-ai/kaiya-terms-of-service.md): Review the Kaiya Terms of Service to understand your responsibilities, data handling rules, limitations, and risks when using Tellius Kaiya Beta features.
- [Best practices](https://help.tellius.com/tellius-documentation/kaiya/kaiya-conversational-ai/best-practices.md): Follow Tellius Kaiya best practices for data preparation and querying to improve accuracy. Learn how to structure, name, and index data for smarter insights.


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# 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, and the optional `goal` query parameter:

```
GET https://help.tellius.com/tellius-documentation/kaiya.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.