> For the complete documentation index, see [llms.txt](https://docs.verticalstudio.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.verticalstudio.ai/vertical-products/studio/features.md).

# Features

### 🖱️ No-Code Customization Workflow

A drag-and-drop canvas lets you customize an AI model in minutes. Chain steps for system prompting, RAG or fine-tuning, set parameters and launch with a single click.

> **Why it matters:**
>
> It empowers you to tailor model behavior, or create complex AI models effortlessly, eliminating the need for coding.

### <mark style="color:blue;">📂</mark> Dataset Creation Agent

Upload raw text, PDFs or URLs and the agent automatically cleans, labels and structures the content into a training-ready or retrieval-ready dataset, all inside the browser.

> **Why it matters:**
>
> High-quality data is the hardest part of AI customization. The agent removes that bottleneck so you can focus on outcomes, not data wrangling.

### <mark style="color:blue;">📑</mark> Pre-Built Templates

Choose from ready-made templates for tasks such as customer support bots, knowledge search or domain-specific content generation. Each template ships with recommended prompts, parameters and compute settings.

> **Why it matters:**
>
> You jump straight to a working solution, skipping trial and error and accelerating time to value.


---

# Agent Instructions
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## 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.verticalstudio.ai/vertical-products/studio/features.md?ask=<question>&goal=<endgoal>
```

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