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Exploring AI Agent Use Cases with n8n

Apr 28, 2025

Lecture Notes: AI Agent Use Cases with n8n

Introduction

  • Exploring eight AI agent use cases with n8n.
  • Agents perform various tasks such as data analysis and creating viral shorts.
  • Aimed to inspire and provide ideas for building AI agents.
  • Building AI agents is challenging and requires shifting mindset from consumer to creator.
  • AI Foundations community supports learning AI from fundamentals to building agents.

AI Agent Use Cases

1. LLM Routing Agent

  • Purpose: Directs requests to the most suitable language model based on their strengths.
  • Models Used: Perplexity, Chat GPT's 03 mini high, Claude 3.5 Sonet.
  • Functionality: Determines model based on query requirements (e.g., live data search uses Perplexity).
  • Benefits: Saves costs, improves response accuracy, adaptable to different workflows.

2. Deep Research Agent

  • Purpose: Automates deep research and generates a PDF with citations.
  • Use Cases: Utilized by PhDs, broadcasters, and curious individuals.
  • Features: Researches topics, provides citations, and generates formatted reports.
  • Example: Researched 'Beekeeping and Stress Reduction'.
  • Output: Detailed PDF with clickable citations.

3. YouTube Video Interaction Agent

  • Purpose: Enables interaction with YouTube video transcripts for learning.
  • Process: Transcribes videos, processes transcripts, uploads to Vector store for interaction.
  • Benefits: Enhances learning by asking questions directly related to video content.

4. Data Analyst Agent

  • Purpose: Performs data analysis and visualization.
  • Tools: Utilizes Google Sheets and chart generation APIs.
  • Capabilities: Generates charts, analyzes profit margins, responds to data-related queries.

5. Database Creator Agent

  • Purpose: Automates creation of databases in Airtable.
  • Functionality: Creates databases based on user descriptions, with pre-populated fields.
  • Use Cases: Useful for organizing information and tool integration.

6. Meeting Manager Agent

  • Purpose: Manages meetings and scheduling efficiently.
  • Features: Integrates with calendar, CRM, email, and Zoom.
  • Functionality: Schedules meetings, checks for conflicts, creates Zoom links, emails participants.

7. Viral YouTube Shorts Agent

  • Objective: Automates creation of YouTube shorts.
  • Process: Ideation, script generation, image and video creation, and YouTube upload.
  • Tools Used: 11 Labs for audio, Replicate for images, Creatomate for video editing.
  • Customization: Allows for script and prompt adjustments.

8. Database Interaction Agent

  • Purpose: Interacts with large datasets for insights.
  • Example: Sleep data analysis using a Postgres database.
  • Capabilities: Queries specific data points, averages, and trends over time.
  • Benefits: Provides detailed insights into personal data, such as heart rate trends.

Conclusion

  • AI agents offer diverse and transformative applications.
  • AI Foundations community provides resources for learning and building AI solutions.
  • Emphasis on moving from consumer to creator mindset in AI development.
  • Encouragement to join the community for structured learning and networking.

These notes provide a comprehensive overview of the AI agent use cases discussed in the lecture, highlighting their purposes, functionalities, and benefits.

Full transcript