# 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.


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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.verticalstudio.ai/vertical-products/studio/features.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.