n8n AI Agent Workflow Essentials
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The n8n AI Agent Workflow Essentials pack gives you four modular, annotated n8n workflows designed for practical automation scenarios. Built with clarity and flexibility in mind, these templates help you learn AI agent design patterns while solving useful real-world problems.
What’s Inside:
- Prompt Chaining Workflow – Automatically turn a topic into an outline and then into a polished article. Perfect for content creators who want to streamline their blog-writing process.
- RAG Workflow – Upload a PDF (e.g., a bank statement) and query its contents for instant, context-aware answers.
- Routing Workflow – Detect user intent and automatically generate the right type of social media post: Instagram caption, Twitter/X post, or LinkedIn article.
- Parallelization Workflow – Process customer feedback in one step, classifying the theme, determining sentiment, summarizing the pain point, and generating a structured case summary.
Why It Works:
- Time-saving templates that can be imported into n8n and run immediately.
- Clear annotations in each workflow to help you understand how the logic works.
- Modular structure so you can swap models, edit prompts, or extend flows without breaking them.
- Inspired by AI-agent best practices for maintainability, transparency, and easy debugging.
You'll get four powerful, ready-to-import n8n workflows—Prompt Chaining, Retrieval-Augmented Generation (RAG), Routing, and Parallelization—that you can deploy and customize in minutes. These templates let you build intelligent AI agents without writing code, whether you're a creator, developer, or automation enthusiast.
Pre-Built & Ready to Import
Each workflow is export-ready in JSON format for quick loading into n8n.
Real-World Use Cases
Content creation, document Q&A, social media automation, and customer service insights.
Beginner & Advanced Friendly
Easy for newcomers to run; flexible enough for experienced n8n users to extend.
Model-Agnostic Design
Works with multiple LLM providers—swap the model node to fit your API.
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