I Automated My YouTube Channel With CrewAI [Free Source Code Included]

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AI Summary

Video Summary Outline

• Introduction
  • Automating YouTube video creation with Crew AI
  • Benefits: Easier life, time-saving
  • Learnings:
    • Market research on YouTube
    • Title and description generation
    • Email preparation for subscribers
    • Custom tool creation with Crew AI
    • Human-in-the-loop feedback setup
    • New Crew AI features overview
  • Step-by-step guide provided
  • Source code giveaway
  • Announcement: Launch of a free community for viewers
    • Networking with developers
    • Collaborative problem-solving
    • Weekly coaching calls
• Current Manual YouTube Process
  • Research video topics on YouTube
  • Identify viral topics by comparing views to subscriber counts
  • Record video, upload, and perform manual tasks:
    • Create a compelling title
    • Write a video description
    • Craft an email blast for subscribers
• Desired AI Output
  • Document with:
    • Performance of similar videos
    • 10 potential high click-through rate titles
    • YouTube description draft
    • Email announcement draft
  • Automation goal: Reduce hours of manual work to minutes
• Building the Crew AI Solution
  • Create a new folder and set up project environment with dependencies
  • Define project structure with key files:
    • pyproject.toml for project info and dependencies
    • main.py for logic and agent/task connections
    • agents.py for agent logic
    • tasks.py for task definitions
    • .env for environment variables (API keys)
    • Tools folder with custom tools for YouTube data retrieval
  • Walkthrough of setting up virtual environment with Poetry
  • Outline main.py with todos for agents, tasks, and tools
• Coding the Solution
  • Define agents and their roles in agents.py
  • Create tasks corresponding to each agent in tasks.py
  • Implement custom tools for YouTube searching and video details
  • Set up environment variables for API keys
  • Combine agents, tasks, and tools in main.py
  • Run the crew and observe the automation process
  • Review the output document with research, titles, description, and email content
• Conclusion
  • Recap of the automation achieved
  • Encouragement to download the source code and join the community
  • Invitation to explore more tutorials on the channel