# How to get started with Calk AI ?

### How it works ?

Calk AI is built around a simple idea:

*Connect your data → Build agents → Work smarter with AI.*

Whether you're training a sales assistant or automating internal research, everything in Calk AI follows this flow.

Let’s break it down.

### 1️⃣ Tag Any Model <a href="#h_1029892ef6" id="h_1029892ef6"></a>

Every conversation starts with the right AI model.

With Calk AI, just type `@GPT-4.1`, `@Claude3.7`, `@Mistral3medium`, or any other available model to activate it instantly.

You don’t need separate accounts. All the best models are in one place.

<figure><img src="/files/tc7eFZSkv0mPsuyEahw6" alt=""><figcaption></figcaption></figure>

### 2️⃣ Connect Your Data <a href="#h_a1dec7257a" id="h_a1dec7257a"></a>

AI is useless without context.

That’s why Calk AI lets you plug in your business knowledge — like documents, pages, notes, and links — from tools like Google Drive and Notion.\
Your data becomes the foundation for every agent you build.

Ask your first question just tag @gpt, @claude3.7 and @deepseek and ask them anything you'd like!

<figure><img src="/files/BrrZxtc99HFEQczHJsuj" alt=""><figcaption></figcaption></figure>

***

### 3. Build Your Agents <a href="#h_09fcdf9627" id="h_09fcdf9627"></a>

Once your data is connected, you can:

* Create agents trained on it
* Or pick a ready-made template to skip the prompting

Agents can specialize in anything: sales, support, marketing, research…\
You define what they do — and they’ll answer based on the knowledge you gave them.

`Don't forget to link some data to the agent to maximize results!`

<figure><img src="/files/QyxPAM3CERUpF5xfOFxN" alt=""><figcaption></figcaption></figure>

### 4. Use One, Then the Next <a href="#h_09fcdf9627" id="h_09fcdf9627"></a>

Calk AI is built to work like a chain.

You can use one agent to generate something, then pass the result to another.\
One task at a time, each handled by a focused AI — no confusion, no overload.

That’s how you go from raw data to clean output — step by step, agent by agent.

<figure><img src="/files/J6jaHX7F3cmakcUcYiJN" alt="" width="563"><figcaption></figcaption></figure>

***

Calk isn’t just software—it’s the future of how businesses interact with AI. Start building your custom AI solutions today and see the difference it makes for your team.


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# 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://docs.calk-ai.com/readme-1.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.