About this Video

• Video Title: AI AGENTS From Zero to Production in 35 Minutes - FULL TUTORIAL
• Channel: All About AI
• Speakers: One unnamed speaker
• Duration: 00:35:57

Introduction

This video provides a comprehensive tutorial on building and deploying AI agents for production. The speaker demonstrates creating three agents: one to fetch Bitcoin prices, another to gather financial news, and a third to send email reports summarizing the collected data, all orchestrated via a scheduling system on Heroku.

Key Takeaways

• Building an autonomous Bitcoin price agent: The tutorial details fetching Bitcoin prices using the CoinGecko API and storing them in a Supabase database.
• Creating a financial news agent: The speaker demonstrates using the OpenAI and Brave APIs to gather financial news, storing the results in a Supabase database. Function calling within OpenAI is utilized for improved agent capabilities.
• Developing an email reporting agent: An email agent is built to consolidate data from the Supabase database, generate a summary, and send an email report (including an optional chart attachment) using the Mailgun API.
• Deploying agents to Heroku: The tutorial walks through deploying the complete system to Heroku, setting up scheduled jobs to automate data collection and reporting. This involves managing requirements, configuration variables, and scaling workers.
• Troubleshooting and debugging: The speaker demonstrates debugging techniques, including using screenshots within the chat interface to clarify issues.

This video tutorial demonstrates building three interconnected AI agents: a Bitcoin price fetcher, a financial news aggregator, and an email reporter. The tutorial uses various APIs (CoinGecko, OpenAI, Brave, Mailgun) and a Supabase database, culminating in a fully autonomous system deployed on Heroku using scheduled jobs. The speaker details each step, including troubleshooting and deployment to a cloud platform.