> For the complete documentation index, see [llms.txt](https://doc.batch.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://doc.batch.com/guides-and-best-practices/batch-ai.md).

# Batch AI

- [How to Send Every Message at the Moment Each Customer Is Most Likely to Engage](https://doc.batch.com/guides-and-best-practices/batch-ai/how-to-send-every-message-at-the-moment-each-customer-is-most-likely-to-engage.md): This guide explains how to use the Best Send Time score from Batch AI Predict to automatically send each customer their message at the time of day they are most likely to open and act on it.
- [How to Target the Right Customers for Every Product Campaign](https://doc.batch.com/guides-and-best-practices/batch-ai/how-to-target-the-right-customers-for-every-product-campaign.md): This guide explains how to use the Product Propensity score from Batch AI Predict. Stop sending product campaigns to your entire database. Reach only the customers who are genuinely interested.


---

# 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://doc.batch.com/guides-and-best-practices/batch-ai.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.
