# Route

This section will allow you to use the previously attached variables and categorize them for tracking the information.

<figure><img src="/files/P3zH5INXOhDPBFGCt9zC" alt=""><figcaption></figcaption></figure>

We currently have several variables available for classification based on your needs. First, you need to input values for these variables, which can be collected in various ways. Additionally, we provide a field for gathering information directly from your customers.

<figure><img src="/files/3E0SEMa9emYXSf8VA8kp" alt=""><figcaption></figcaption></figure>

* {{Customer.name}}: Assign a name to a variable.
* {{Customer.access\_token}}: Assign a dynamic value in fetching and inserting as a variable.
* {{Customer.email}}: Assign an email to a variable.
* {{Customer.phone\_number}}: Assign a phone number to a variable.
* {{Message.content}}: Assign a message content to a variable.
* {{Customer.country}}: Assign a country to a variable.

For example, let's use the input variable {{Customer.country}}. By entering their country, the chatbot can identify the user's location and assign it to the appropriate variables, categorizing it into the previously established fields. \
\
If the user is from Europe, Asia, Africa, or Oceania, the chatbot will respond with the message, "From GMT+0 to GMT+12." If the user is from South America, North America, or Central America, it will respond with, "From GMT-12 to GMT-0." However, if the user does not meet either of these conditions, the chatbot will ask, "Where are you from? Tell me your GMT." (All the messages in the example are just for testing; you can freely set them up.)

<figure><img src="/files/JWDnLooJEZ1Ng65uSa6v" alt=""><figcaption></figcaption></figure>


---

# 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://documents.cxgenie.ai/bots/workflow/workflow-components-1/route.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.
