> For the complete documentation index, see [llms.txt](https://docs.ai.neevcloud.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ai.neevcloud.com/ai-inference/overview-2/quick-start.md).

# Quick Start

## Step 1: Select Model

Start by selecting the model you want to use from the dropdown menu in the **Configuration Panel** on the left side of the interface.

## Step 2: Enter Your Prompt

In the **Prompt Editor** (center panel), type your question or instruction. For your first test, try one of these examples:

* **Simple question**: "What is machine learning?"
* **Technical query**: "Explain the difference between supervised and unsupervised learning."
* **Task-based**: "Write a Python function that calculates the factorial of a number."

## Step 3: Run and Review

Click the **Run Inference** button in the top-right corner of the Prompt Editor.

### What to Expect

* **Initial delay**: You will see a processing indicator. This is the **Time to First Token (TTFT)** - typically 1-10 seconds depending on model size and prompt length.
* **Streaming response**: The model's answer will appear progressively in the Output panel below the prompt editor.
* **Performance metrics**: Once complete, you will see two key metrics at the bottom:
  * **Tokens Generated**: The number of tokens in the response (roughly 0.75 tokens per word).
  * **TTFT**: Time to First Token - how long it took before the model started responding.


---

# 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.ai.neevcloud.com/ai-inference/overview-2/quick-start.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.