5 simple AI Agents you must have - beginners guide

Key Concepts

AI Agents, NA10, Telegram Bot, OpenAI API, Google Sheets API, System Prompt, Memory, Google Cloud Console, OAUTH Consent Screen, Hostinger VPS, Email Manager, Calendar Event Reminder, Vectal, SER API, Problem-Solving AI Agent.

1. Building an AI Accountant

• Main Topic: Creating an AI agent to automate accounting tasks, replacing traditional accountants.
• Trigger: Telegram "on message" trigger to receive expense information.
  • Uses Telegram Bot API. Requires creating a bot via BotFather, obtaining a token, and pasting it into NA10.
  • Example: /newbot, naming the bot NA10 accountant, and creating a unique username ending with bot.
• AI Model: OpenAI's GPT-4.0 Turbo model for processing and categorizing expenses.
  • Requires an OpenAI API key. Steps include logging into OpenAI platform, navigating to API keys, creating a new secret key, and pasting it into NA10.
• System Prompt: Defining the AI agent's behavior and instructions.
  • Example prompt instructs the agent to categorize expenses as personal or business, extract date, description, amount, and type.
• Memory: Implementing simple memory to retain context from past interactions.
  • Uses session ID based on chat ID from Telegram. Context window length set to 5.
• Google Sheets Integration: Connecting the AI agent to Google Sheets to record expenses.
  • Requires setting up OAUTH 2.0 with Google Cloud Console. Steps include creating a project, enabling Google Sheets API, creating an OAUTH consent screen, and configuring client ID and secret.
  • NA10 provides the necessary redirect URL.
  • The agent uses the "append row" operation to add new expenses.
• Example: Sending "croissant $2.50 corner of my street" to the Telegram bot. The AI agent categorizes it as a personal food expense and records it in Google Sheets.
• Telegram Output: Sending a confirmation message back to Telegram with a summary of the recorded expense.
• Process:
  1. Define a Telegram trigger.
  2. Connect an AI agent with GPT-4.0 Turbo.
  3. Provide a system prompt for expense categorization.
  4. Implement memory for context retention.
  5. Integrate with Google Sheets for recording expenses.
  6. Add a Telegram output for confirmation.

2. Hosting NA10 Agents on Hostinger VPS

• Main Topic: Using Hostinger VPS as a cost-effective alternative to NA10 Cloud for hosting AI agents.
• NA10 Cloud Limitations: Limited executions and higher cost compared to VPS.
• Hostinger VPS Advantages: Unlimited executions, lower cost, and more control.
  • Recommendation: KVM2 plan.
  • Coupon code "David" for 10% off.
• Setup:
  1. Select a server location.
  2. Choose the NA10 one-click install template.
  3. Fill out billing details.
• Management: Accessing the NA10 server through the Hostinger panel to manage and activate AI agents.
• Monitoring: Viewing server usage data, which is not available on NA10 Cloud.

3. Building an Email Manager AI Agent

• Main Topic: Creating an AI agent to autonomously clean up and organize an email inbox.
• Trigger: Gmail "on message received" trigger.
• Functionality: The agent reads through each email, marks unimportant ones as read, and leaves important ones untouched.
• AI Model: OpenAI's GPT-4.0 Turbo or GPT-4.0 Turbo Mini.
• System Prompt: Instructs the agent on how to process emails, defining criteria for importance.
• Tool: "Mark as read" tool to mark unimportant emails as read.
• Process:
  1. Set up a Gmail trigger.
  2. Connect an AI agent with GPT-4.0 Turbo.
  3. Provide a system prompt for email categorization.
  4. Use the "mark as read" tool to manage emails.
• Example: The agent receives a Hostinger verification code email and determines it's important, so it doesn't mark it as read.
• Customization: The system prompt can be customized to adapt to specific user needs and preferences.

4. Building a Calendar Event Reminder AI Agent

• Main Topic: Creating an AI agent to summarize upcoming calendar events and send a daily email.
• Trigger: Schedule trigger set to run daily at a specific time.
• AI Model: OpenAI's GPT-4.0 Turbo.
• Google Calendar Integration: Connecting the AI agent to Google Calendar to fetch events.
  • Requires setting up credentials and selecting the desired calendar.
  • The agent retrieves events from "now" until one week from "now."
• Gmail Integration: Sending an email with a summary of the upcoming events.
• Process:
  1. Set up a schedule trigger.
  2. Connect an AI agent with GPT-4.0 Turbo.
  3. Integrate with Google Calendar to fetch events.
  4. Integrate with Gmail to send a summary email.
• Example: The agent sends an email summarizing the day's schedule, including an upload day and a Vector call.

5. Vectal: An AI-Powered Productivity App

• Main Topic: Introducing Vectal, an AI-powered productivity app that combines features of Notion and ChatGPT.
• Functionality: Task management, note-taking, and AI agent integration.
• AI Models: Offers access to various AI models.
• User Context: Allows users to provide context about their work, goals, and other relevant information.
• Projects: A feature for categorizing tasks, notes, and ideas into different projects.
• Example: Using Vectal to archive tasks, create new tasks for NA10 video production, and automatically assign them to the YouTube project.

6. Building a Daily News AI Agent

• Main Topic: Creating an AI agent to research a specific topic and send a daily news summary via email.
• Trigger: Schedule trigger set to run daily at a specific time.
• AI Model: OpenAI's GPT-4.0 Turbo.
• SER API Integration: Using SER API for web search and information retrieval.
  • Requires registering on serapi.com, obtaining an API key, and pasting it into NA10.
• Gmail Integration: Sending an email with a summary of the news.
• Process:
  1. Set up a schedule trigger.
  2. Connect an AI agent with GPT-4.0 Turbo.
  3. Integrate with SER API for web search.
  4. Integrate with Gmail to send a summary email.
• Example: The agent searches for information about artificial intelligence and sends a daily news summary via email.
• Troubleshooting: Adjusting the system prompt to ensure the agent uses the Gmail tool and limits the number of web searches.

7. Monetizing AI Agents

• Main Topic: Building and marketing problem-solving AI agents to specific businesses.
• Problem-Solving Approach: Focus on solving real business problems rather than selling generic AI solutions.
• Example: Helping a coffee shop owner track expenses from various sources (cash, crypto, bank transfers).
• AI Automation Agency Alternative: Building specific AI agents for specific use cases is more effective than running a general AI automation agency.
• Case Study: John sold an AI agent for $90,000 by building a specific solution.

Synthesis/Conclusion

The video provides a comprehensive guide to building five essential AI agents using NA10, covering various applications such as accounting, email management, calendar reminders, productivity enhancement with Vectal, and news aggregation. It emphasizes the importance of understanding the underlying concepts, setting up integrations correctly, and customizing the agents to meet specific needs. Furthermore, it highlights the potential for monetizing AI agents by focusing on solving real-world business problems and offers a cost-effective hosting solution using Hostinger VPS. The key takeaway is that building and deploying AI agents can significantly improve productivity and automate various tasks, provided a problem-solving approach is adopted.