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

# Automatisations

- [Mots clés](https://docs.fullwhere.com/automatisations/mots-cles.md): Créer des mots qui seront automatiques détectés par Fullwhere
- [Workflows](https://docs.fullwhere.com/automatisations/workflows.md): Configurer vos règles pour gérer vos interactions clients selon vos logiques métiers
- [Agents IA](https://docs.fullwhere.com/automatisations/agents-ia.md): Construisez des agents IA pour répondre à vos clients
- [Bases de connaissance](https://docs.fullwhere.com/automatisations/bases-de-connaissance.md): Centraliser les informations de votre marque pour alimenter vos Agents IA
- [Variables](https://docs.fullwhere.com/automatisations/variables.md): Utilisez des variables pour rendre vos agents IA dynamique en fonction du contexte
- [Attributs](https://docs.fullwhere.com/automatisations/attributs.md): Personnalisez votre espace de travail Fullwhere en créant des champs personnalisés


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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://docs.fullwhere.com/automatisations.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.