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The AI Agent Tutorial That Should've Been Your First (no code)

#AI Tools
2025-09-02 03:558 min read

Content Introduction

This video is a comprehensive tutorial on building an AI agent using the catchb platform. It provides step-by-step instructions to create your first agent from scratch on the N8N platform. The video outlines the three essential components of an AI agent: a brain, access to tools (like Slack, Google Sheets, and Notion), and a system prompt to guide its functionalities. It further explains how to set up inputs to allow the AI agent to take action based on the provided data. The tutorial emphasizes the importance of memory for the AI agent and includes practical examples, illustrating how users can track expenses using a Google Sheets integration. It concludes by encouraging viewers to experiment with building AI agents, underscoring the potential of these tools for effective task management.

Key Information

  • The video demonstrates how to build an AI agent using the N8N platform in three simple steps.
  • Step one is to give the agent a brain, step two involves providing access to tools like Slack and Google Sheets, and step three is to teach the agent how to use these tools.
  • The narrator emphasizes the importance of the agent's memory and brain structure, mentioning elements such as a chat model, tools, and a system prompt.
  • The creator shares experiences, showing how to integrate Google Sheets into the AI agent's functionality, particularly for a subscription tracker.
  • Final thoughts touch on the need for memory in AI interactions to avoid losing critical information, and the importance of understanding the components of AI agents.

Timeline Analysis

Content Keywords

AI Agent

The video teaches how to build an AI agent on the N8N platform from scratch in three steps: assigning a brain, granting access to tools (like Slack, Google Sheets, and Notion), and teaching the agent how to use these tools.

N8N Platform

N8N is highlighted as the platform for creating AI agents. It supports easy integration with various tools and functionalities to build automated workflows.

Steps for Building AI

The three simple steps include giving the agent a brain, accessing external tools, and teaching it how to interact with those tools effectively.

AI Tools

Key tools mentioned for AI integration are Slack, Google Sheets, and Notion, which enhance the operational scope and functionality of the AI agent.

Memory in AI

The importance of memory in AI agents is discussed, outlining how it allows the agent to retain information across interactions, thereby improving efficiency and effectiveness.

Workflow Automation

The video demonstrates how AI agents can automate workflows by incorporating updates and managing data in real-time through tools like Google Sheets.

Error Handling

Error handling is introduced, explaining how to troubleshoot issues when the AI agent does not confirm actions or produces incorrect data.

Implementation of System Prompt

The importance of defining the system prompt is emphasized, suggesting that it controls interactions between the AI agent and user, ensuring appropriate responses.

ChatGPT

ChatGPT is mentioned as a useful tool for troubleshooting and refining the AI agent's performance, particularly in processing commands and responses.

Dynamic Variables in AI

The video covers the significance of using dynamic variables, such as timestamps, to ensure the AI's interactions are contextually relevant and accurate.

Google Sheets Integration

Detailed instructions are provided on connecting the AI agent to Google Sheets, including the creation and configuration of a subscription tracker.

Related questions&answers

What do I need to build an AI agent using catchb?

You need three main components: a brain that consists of a chat model and memory, access to tools like Slack and Google Sheets, and a system prompt that controls the agent's actions.

What are the steps to build an AI agent?

The steps are: Step one, give your agent a brain. Step two, give it access to necessary tools. Step three, teach your agent when and how to use each tool.

How do I connect my Google account to the agent?

You need to create new credentials for Google Sheets, sign in with your Google account, and allow the AI agent access to the required Google Sheets.

What should I do if the AI agent fails to confirm information?

Ensure that the AI agent is programmed to always follow up with a confirmation message, even if the information appears to be complete.

How can I troubleshoot the AI agent if it doesn't work as expected?

You can take a screenshot of the workflow, download the JSON file, and upload it into Chat GPT for troubleshooting help. Alternatively, you can manually check the existing entries to avoid duplications.

Is there a recommended approach to handle updating entries in Google Sheets?

It's suggested to set the operation to 'update row' instead of just 'append row' so that changes in services like iCloud are accurately reflected in the Google Sheets.

What is the significance of the system prompt in the AI agent?

The system prompt is essential as it guides the AI agent on how to utilize its capabilities effectively, including confirming actions and managing tool usage.

What should I do if I want to create an AI agent but am not very technical?

Using a cloud version of the platform like N8N can simplify the process, allowing you to focus on the fundamental aspects without requiring extensive technical knowledge.

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