AI Automation
AI Automation Guide
Learn how to integrate Large Language Models (LLMs) into your document processing pipelines for intelligent reasoning and data extraction.
Updated 2 min read
Overview
AI Automation nodes represent the "brain" of your workflow. While traditional nodes are efficient at specific, deterministic tasks (like converting PDF to Word), AI nodes can handle ambiguity, summarize content, and extract structured data from unstructured sources.
Available AI Nodes
- AI Automation Agent: The primary reasoning node for open-ended tasks, summarization, and logical decision making.
- AI Data Extraction: Optimized for turning document text into structured JSON or CSV data with high precision.
Why Use AI in Your Workflows?
- Unstructured to Structured: Turn an image of a receipt or a messy PDF into a clean JSON record automatically.
- Contextual Reasoning: Make decisions based on the meaning of a document (e.g., "Is this a complaint or a compliment?") rather than just keywords.
- Advanced Synthesis: Summarize hundreds of pages of technical documentation into a single executive briefing.
Credit Consumption
AI nodes consume Compute Credits proportional to the complexity of the model and the length of the input text (tokens). Check the Premium Tiers Guide for details on credit rates.
[!TIP] New to AI? Start with the AI Automation Agent and try the "Summarize" preset to see how it handles your documents in real-time.