Text Assistants
Run Large Language Models (LLMs) to generate, rewrite, analyze, or transform text — without writing prompts from scratch.
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
Add a Text Assistant node from the node picker (under Use AI → Text Assistants).
Choose an assistant — each one is optimized for a specific task (prompt enhancement, ad copy, content analysis, etc.).
Connect inputs — feed in text, brand context, or other data from upstream nodes.
Configure — add custom instructions to tailor the assistant's behavior to your use case.
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
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.
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