Build Your First AI Agent In Under 35 Minutes (Live Tutorial)

Video Description

Timestamps 0:00 - Introduction: Building a YouTube Content Research Agent 1:15 - How AI Agents Work: The Digital Worker Analogy 2:30 - The Brain: Large Language Models Explained 3:45 - Tools: Taking Action in the Real World 5:20 - Three Types of Instructions for Agents 6:10 - Task-Based Instructions Example 7:30 - System Prompts: Behind-the-Scenes Instructions 9:00 - Skills: Dynamic Instruction Loading 10:45 - Creating Your First Skill: Email Writing Example 12:30 - Testing Dynamic Skills in Action 14:00 - Starting the YouTube Research Process 15:20 - Creating the YouTube Channel Information Skill 16:40 - Using the Save to Knowledge Tool 17:50 - Building the Research Workflow: Step-by-Step Process 19:30 - Searching for Tools in the Marketplace 20:45 - Finding and Scraping Competitor YouTube Channels 22:30 - Analyzing Top-Performing Videos 24:15 - Creating a Comprehensive Data Table 25:30 - Turning Your Process into a Reusable Skill 27:00 - Core Instructions vs Skills: Key Differences 28:20 - Setting Up User Profile Information 29:40 - Testing the Complete YouTube Research Agent 31:00 - Wrap-Up & Next Steps How to Build an AI Agent to Research YouTube Content Ideas | Station AI Tutorial In this comprehensive tutorial, I'll show you exactly how I build an AI agent to research YouTube content ideas and create a data-driven content strategy. Whether you're a content creator looking to streamline your ideation process or just getting started with AI agents, this step-by-step guide will teach you everything you need to know. What You'll Learn: - How AI agents work (brain, tools, and instructions) - The difference between system prompts, tasks, and skills - How to create reusable skills that work across agents - Building a YouTube research agent that scrapes competitor channels - Setting up core instructions vs. dynamic skills - Using Station AI's marketplace to find and integrate tools - Creating automated workflows for content research Key Topics Covered: ✅ Understanding AI agents as digital workers ✅ The three types of instructions: tasks, system prompts, and skills ✅ Dynamic skill loading for flexible agents ✅ Building a YouTube channel scraper workflow ✅ Creating searchable knowledge bases ✅ Automating competitor research and analysis Tools Used: - Station AI (AI Workforce Platform - Google Search integration - YouTube Channel Scraper - Custom skill builder Perfect for: Content creators, YouTubers, entrepreneurs, business owners, and anyone interested in AI automation and building practical AI agents for real-world tasks. 🔗 Links: Station AI: https://www.getstation.ai My YouTube Channel: https://www.youtube.com/@AlfieMarsh 💬 Want a live stream session where you can ask questions in real-time? Drop a comment below! 📧 Questions? Reach out to [email protected] #AIAgents #StationAI #YouTubeAutomation #ContentCreation #AIAutomation #DigitalWorkforce #YouTubeTips #ContentStrategy #AITools #NoCode