> For the complete documentation index, see [llms.txt](https://help.clickatell.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.clickatell.com/clickatell-ai/overview/clickatell-ai.md). # Clickatell AI The Clickatell AI service enables you to build, customize, and train modern AI assistants built on a hosted large language model (LLM) and pre-trained on specific information provided by your business. It lets your customers:\ * Ask questions and extract accurate, concise, and contextually relevant answers from a chatbot, referencing the information it was trained on. * Interact with a live agent supported by the virtual assistant in Chat Desk. In addition, the Clickatell AI powers the following features across our products:

			Cover image
Agent Desk Sentiment analysis Chat escalation and alerts Chat de-escalation AI suggested responses	Supervisor Desk	Agent stress alert AI summaries and suggested actions Chat sorting and filtering Real-time analytics dashboard	Chat Desk.png
Flow summary Context router Clickatell AI node			Chat Flow.png
AI suggested campaigns Predictive campaign analytics			Broadcast Messenger.png

Cover image

Agent Desk

Sentiment analysis
Chat escalation and alerts
Chat de-escalation
AI suggested responses

Supervisor Desk

Agent stress alert
AI summaries and suggested actions
Chat sorting and filtering
Real-time analytics dashboard

Chat Desk.png

Chat Flow.png

Broadcast Messenger.png

--- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://help.clickatell.com/clickatell-ai/overview/clickatell-ai.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.