# Quickstart

#### Getting Started Tutorial

Ready to dive in? Let's get you set up and on your way to creating powerful AI Multi-Agents for your business needs.

**What is an AI Multi-Agent?**\
An AI Multi-Agent is an agent that can interact with humans and external software systems, understand vague tasks, and perform them for you. For example, an agent can help you build your marketing strategy, or create a draft email based on your sales pipeline status. These agents are much more powerful than basic chatbots like ChatGPT.

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{% embed url="<https://www.youtube.com/watch?v=5D504-ku6Cg>" %}

#### Step 1: Create an Account

First things first, you'll need an account.

1. Go to our signup page to create an account.
2. If you already have an account, log in here.

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#### Step 2: Create a Basic AI Agent

<figure><img src="/files/qXOebKiAWqWPAbGVT400" alt=""><figcaption></figcaption></figure>

1. Go to **Agent Studio** from the left-hand menu.
2. Click the **New Agent** button in the top menu to create a new agent.
3. You'll see the agent's name switch to `< new >`.
4. Name your agent.

**Checkpoint:** You have successfully created a basic agent consisting of Inputs, an "LLM" (Large Language Model) node, and Outputs—all connected. This is the simplest possible AI agent.

<figure><img src="/files/S5gMMY9TgYmQOuRUyv76" alt=""><figcaption></figcaption></figure>

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#### Step 3: Customize Your Agent's Parameters

1. Click on the **"LLM Simple"** node on the canvas.
2. Adjust the following parameters:

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

* **Label**: Rename the box for easier identification.
* **User Prompt**: Input your action request here.
* **Model**: Choose from various LLMs (Large Language Models) depending on your needs, such as cost, performance, and context capacity.
* **System Prompt**: Instructs the LLM how to handle user input. For example, you can change the tone of the agent or provide a specific response format like JSON.

**System Prompt Example:**

Create a poetic agent with a sarcastic tone:

```css
"You are a poet with a gentle soul, but life has scarred you. You use sarcasm as your default communication mode. Answer any user's requests or remarks using poetry, rhyme your answers as much as possible, and make them both sarcastic and sad."
```

4. Click **"Agent Input"**, enter something in the User Prompt field, and press the **"Run"** button.
5. Your agent will be saved, and the status of the **"LLM Simple"** box will change to **"Running"**. Wait for it to switch to **"Finished"**.
6. Click on **Agent Outputs** to read the response.

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

**Checkpoint:** You have now customized your AI agent's parameters.

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#### Step 4: Compare Your Agent and Base Models

1. Click on **"Run benchmarks"** under the **"Benchmark Tools"** menu on the left.
2. Select models and your agent to compare:
   * Top-right: List of popular basic LLM models with indicative costs and context window sizes (the maximum number of tokens a model can handle).
   * Your Multi-Agents: List of the agents you’ve created.
3. Enter a prompt like, **"Hi, how are you?"**, and click **"Submit"** to compare the results.

<figure><img src="/files/2OeZslZsdc6brvvNll55" alt=""><figcaption></figcaption></figure>

**Checkpoint:** You've successfully tested your agent against basic models. Now, you know which models work best for your needs!

<figure><img src="/files/walVPFNkmcUXKug0Wpgz" alt=""><figcaption></figcaption></figure>

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#### Step 5: Interact and Deploy

1. Go to **"Chat with Agents"** via the left hand side navigation bar in **"Agents"** menu.
2. Select your agent from the top menu and interact with it as you would with any chatbot.
3. If you want to make changes, return to **Agent Studio**, experiment, and save your changes.
4. Once you're satisfied, deploy your agent to **Integrail Cloud** with a single click (coming soon).

<figure><img src="/files/YuFyw84BdxElYLJxmwer" alt=""><figcaption></figcaption></figure>

**Bravo!** You've mastered the essentials of AI Agent creation, testing, and optimization. The possibilities are endless!

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Integrail supports the creation of **Advanced AI Multi-Agents** tailored to your specific business processes. Integrate with external systems like CRM, Email, CMS, and more. Create agents that handle not only text but images, voice, and video.

**Checkpoint:** You are now equipped with the knowledge to build powerful AI Multi-Agents. Keep exploring, innovating, and pushing the boundaries of what's possible with Integrail.

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We’d love to hear from you! Reach out to **<documentation@integrail.ai>**


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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://help.integrail.ai/getting-started/quickstart.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.