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

# Build agents

- [Templates](https://docs.pletor.ai/build-agents/templates.md): For every use case, there's an template.
- [Custom agents](https://docs.pletor.ai/build-agents/custom-agents.md): Because your unique context matters.
- [Studio](https://docs.pletor.ai/build-agents/studio.md): Learn how to build your agents in the AI Studio.
- [Toolbar](https://docs.pletor.ai/build-agents/studio/toolbar.md): The toolbar sits on the left of the Studio and gives you quick access to the most common actions while building agents.
- [Navigation](https://docs.pletor.ai/build-agents/studio/navigation.md): How to move around the Studio canvas, manage zoom, and access key actions.
- [Building tips](https://docs.pletor.ai/build-agents/studio/building-tips.md)
- [Loop mode](https://docs.pletor.ai/build-agents/studio/loop-mode.md): Scale your workflows with Loop mode.
- [Sharing](https://docs.pletor.ai/build-agents/studio/sharing.md)
- [Nodes](https://docs.pletor.ai/build-agents/nodes.md): Nodes are the building blocks of every agent in Pletor.
- [AI nodes](https://docs.pletor.ai/build-agents/nodes/ai-nodes.md): AI nodes are the creative engines of your agent. They generate and transform content using state-of-the-art AI models for images, video, and audio.
- [AI Image](https://docs.pletor.ai/build-agents/nodes/ai-nodes/ai-image.md): Generate, edit, and transform images.
- [AI Video](https://docs.pletor.ai/build-agents/nodes/ai-nodes/ai-video.md): Generate, edit, and process videos.
- [AI Audio](https://docs.pletor.ai/build-agents/nodes/ai-nodes/ai-audio.md): Generate speech, sound effects, and lip-synced content using AI audio models.
- [Text Assistants](https://docs.pletor.ai/build-agents/nodes/ai-nodes/text-assistants.md): Run Large Language Models (LLMs) to generate, rewrite, analyze, or transform text — without writing prompts from scratch.
- [Input nodes](https://docs.pletor.ai/build-agents/nodes/input-nodes.md): User inputs shape what the AI creates.
- [Brand nodes](https://docs.pletor.ai/build-agents/nodes/brand-nodes.md): Tailor Pletor agents to your brand.
- [Logic nodes](https://docs.pletor.ai/build-agents/nodes/logic-nodes.md): Automation and logic nodes control how data flows through your agent. They let you split, merge, route, review, and transform content between your AI and input nodes.
- [Split text & List Selector](https://docs.pletor.ai/build-agents/nodes/logic-nodes/split-text-and-list-selector.md): Divide a single text into several branches for parallel generations and high-precision storytelling..
- [Prompt Concatenator](https://docs.pletor.ai/build-agents/nodes/logic-nodes/prompt-concatenator.md): Combine multiple text inputs into a single prompt.
- [Human review](https://docs.pletor.ai/build-agents/nodes/logic-nodes/human-review.md): Add human decision points when it matters, control AI output quality.
- [Composer](https://docs.pletor.ai/build-agents/nodes/composer.md): Compose elements exactly as needed, for maximum control and consistency.
- [Google Drive](https://docs.pletor.ai/build-agents/nodes/google-drive.md): The Google Drive nodes let your agents interact with files stored in Google Drive — both reading files as inputs and writing generated outputs back to Drive.
- [Ad & Social nodes (Meta, Tiktok)](https://docs.pletor.ai/build-agents/nodes/ad-and-social-nodes-meta-tiktok.md): Extract ads or social content to inform your agent with fresh visual marketing data.


---

# 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:

```
GET https://docs.pletor.ai/build-agents.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.