From Zero to Your First AI Agent in 10 Minutes (No Code!)
AI Summary
This video demonstrates how to build a simple AI automation scheduler integrated with a habit tracker app powered by Supabase. The AI automation uses N10 to trigger a daily schedule, connects to Supabase to retrieve the user’s habits, and then uses a chat model (OpenAI GPT-3) to generate a summary of those habits. The summarized habit information is then sent as a Telegram message using a Telegram bot.
Key steps include:
- Setting up a scheduled trigger in N10 for daily execution.
- Adding an AI agent node configured with OpenAI API to process habit data.
- Using Supabase as the backend to store and query habit data.
- Connecting the AI agent to Supabase to fetch live habit data dynamically.
- Creating and setting up a Telegram bot to send habit summaries as messages.
- Retrieving necessary API keys and tokens for OpenAI, Supabase, and Telegram.
The presenter emphasizes how this approach can be generalized to automate and schedule other application workflows effectively. The tutorial also explains how to handle authentication and policy setup in Supabase and demonstrates testing the complete workflow. It concludes by encouraging simple, maintainable AI automation solutions and promoting a full stack AI application course.