> 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/nodes/ai-nodes/text-assistants.md).

# Text Assistants

While "Generate Text" nodes come with empty instructions, Text Assistants are pre-built expert prompts paired with powerful LLMs. 

Instead of engineering prompts yourself, you select an assistant, add your own context, and get production-ready text outputs.

### How it works

1. **Add a Text Assistant node** from the node picker (under Use AI → Text Assistants).
2. **Choose an assistant** — each one is optimized for a specific task (prompt enhancement, ad copy, content analysis, etc.).
3. **Connect inputs** — feed in text, brand context, or other data from upstream nodes.
4. **Configure** — add custom instructions to tailor the assistant's behavior to your use case.
5. **Run** — the assistant processes your inputs through the selected LLM and outputs text.

### What you can do

Text Assistants handle a wide range of text tasks within your workflows:

* **Enhance prompts** — improve a rough user prompt before it reaches an image or video generation node.
* **Generate copy** — write ad copy, social captions, product descriptions, or email content.
* **Analyze content** — process uploaded documents, summarize information, or extract key data.
* **Transform text** — reformat, translate, or adapt content for different channels or audiences.
* **Combine inputs** — merge multiple inputs (user prompt + brand context + reference data) into a single, structured instruction for downstream nodes.

### How to use Assistants

{% embed url="<https://youtu.be/J5A1dlSucNw>" %}

### Tips

* **Use Text Assistants as glue between nodes.** Place one between your input and your generation node to process, enhance, or restructure data before it reaches the AI model.
* **Refine them to fit your context**. Tweak instructions, connect Brand Voice and Brand Context nodes to ensure the assistant writes in your brand's tone and style.
* **Stack multiple assistants** when you need multi-step text processing — e.g., one to analyze a brief, another to write the prompt.
* **Try different models** for the same task. Balanced models are fast and cheap for simple transformations; advanced models handle nuanced creative writing better. Check the Text models guide for recommendations.