8 AI Agent Use Cases That Will Blow Your Mind (n8n Edition!)

Photo by Patrick Fore on Unsplash

Introduction

If you’ve been tinkering with AI agents but struggle to move past plug-and-play templates, this is for you. n8n, an open-source automation tool, can help you orchestrate AI agents that handle everything from deep research to generating viral content. Below are eight use cases — each designed to show you how far you can push automation with AI. If you’re ready to go beyond “template consumer” mode and become a builder, keep reading.

(Bonus: At the end, I’ll show you how to take these skills further — plus info on a special community that can help you fast-track your AI agent journey.)

1. LLM Routing Agent

Why It’s Awesome
Imagine you need different Large Language Models (LLMs) for various tasks — one excels at web searches, another handles advanced reasoning, and yet another focuses on cost efficiency. A routing agent decides, on the fly, which model to call based on your prompt. It’s like having an AI traffic cop that directs queries to the best-suited model.

How It Works

• Step 1: You send a request (“Find me restaurants in Chicago for St. Patrick’s Day”).
• Step 2: A “decider agent” chooses the model (e.g., Perplexity for live search).
• Step 3: n8n dynamic mapping ensures your query — and the chosen model — flow into the correct sub-workflow.

2. Deep Research Agent

Think: Instant, citation-rich papers.

• The Magic: Enter your topic (e.g., “Water-only fasting for 9 days”). Within minutes, you get a multi-page PDF loaded with research, clickable citations, and credible sources.
• The Setup: n8n retrieves info from a specialized research model, organizes it in AirTable (or any database), and auto-generates a neatly formatted PDF. Perfect for academics, content creators, or anyone wanting in-depth, sourced insights — fast.

3. YouTube Video Chat Agent

Interact with endless hours of video transcripts — without ever rewatching them.

• Initial Automations:

1. Transcript Grabber: Provide a YouTube link, and n8n automatically extracts the transcript.
2. Vector Storage: The transcript is chunked and stored in a vector database.

• AI Agent Layer:

1. Ask: Query the transcripts with a question like, “How do I craft better system prompts?”
2. Answer: The agent retrieves exact segments from your stored transcripts.

• Result: A deeper, more personalized learning experience that transforms how you process long-form video content.

4. Data Analyst Agent

No more manual chart-building or guesswork on data.

Your Setup:

• A Google Sheet (or bigger data store) with columns for revenue, expenses, net profit, etc.
• An n8n agent that can query data and produce on-the-fly visualizations with QuickChart or similar APIs.

Example:

1. “Generate a chart comparing revenue and net profit.”
2. The agent responds with a custom image, a textual analysis, and if needed, further stats (e.g., profit margin).

5. Database Creator Agent

Generate entire databases with natural language instructions.

• Workflow:

1. You type something like: “Create a construction project tracker with job status and deadlines.”
2. The agent uses an HTTP request (to Airtable or another DB) to build columns, statuses, and data fields automatically.

• Why It’s Handy: Perfect for spontaneously spinning up new structures for your agentic workflows or for clients who need quick, custom data solutions.

6. Meeting Manager Agent

A fully orchestrated system that handles scheduling, Zoom links, CRM queries, email invites — everything.

• Concept:

1. A main “orchestrator agent” decides if you want to check your calendar, create a Zoom event, or email a colleague.
2. Each function is a separate sub-workflow (e.g., “Zoom creation,” “Send Email,” “Check CRM”).

Real Example:

• “Schedule a meeting with Nolan tomorrow at 6:30 PM about marathon training. Make it a Zoom call.”
• The agent checks for conflicts, offers alternatives, creates the Zoom link, updates your calendar, and emails the attendee.

7. Viral YouTube Shorts Agent

Auto-generate and upload short-form videos — including script, audio, images, and final editing.

• 3-Part Flow:

1. Idea Generator: Brainstorm or refine short video concepts (e.g., coffee tips).
2. Assets & Editing: Use 11Labs for TTS, replicate.com for images, and combine them via a video editing API.
3. Upload: After you approve the final cut, the agent posts directly to YouTube — complete with a custom thumbnail and description.

• Result: Rapid-fire content creation that can help you test or produce daily viral-style shorts.

8. Chat with a Postgres Database

For serious data volumes.

Context:

• You have a Postgres DB containing thousands of rows — maybe sleep data, sensor readings, or user analytics.

Agent Flow:

1. The agent can read your schema (“heart_rate,” “movement,” “HRV,” etc.).
2. You ask a question: “What was my average heart rate in January?”
3. The agent builds a dynamic SQL query, fetches results, and provides a textual summary or further analysis.

• Why: Great for business intelligence tasks or personal health tracking where you want real-time, natural-language queries.

Conclusion: Level Up Your AI Automation

From multimodal scheduling to complex data analytics, these 8 use cases prove that n8n can be the backbone of AI agents that truly automate anything. The best part? You can combine or expand each example into massive, end-to-end workflows — no heavy coding required.

Want the Full Blueprint?

If you’re ready to move beyond piecemeal templates and gain foundational AI agent-building skills, check out my new book:
Build Advanced AI Agents with n8n
Here’s what you’ll get:

• Step-by-step instructions for customizing agents to your specific needs
• Real-world examples for deep research, content generation, data analytics, and more
• Troubleshooting tips to handle scale, memory, and performance issues
• Ongoing updates to keep you ahead in an ever-evolving AI landscape

Don’t settle for being a “template user.” Click here to grab your copy and become the agent builder who automates anything.

(P.S.: The AI era favors those who know how to build, not just consume. Step up, learn the fundamentals, and craft the automations that’ll define the future!)