Creating YouTube Short Channels with AI

Introduction

• Challenge: Create three different YouTube short channels using AI.
• Problem: Difficulty in finding effective AI tools; 90% are not adequate.
• Solution: Received beta access to a new AI tool on August 8th.
• Objective: Create three YouTube short channels within 24 hours.

Chapter 1: Choosing a Niche

• Importance: Correct niche choice is critical to success.
• Risk Factors: Wrong niche can lead to no views, lack of monetization, or copyright strikes.
• Research Tools: Used Perplexity.ai and ChatGPT.
• Selection Criteria:
  1. Interest: Based on advice from Daniel Bidden, choose something you are willing to work on.
  2. Viral Potential: Analyze top shorts for potential.
  3. Risk-free Content: Avoid niches sensitive to copyright issues, like movies and business.
• Final Niches:
  • Entertainment: Drama/Celebrity
  • Sports: Basketball
  • Video Games: Live Streamers

Chapter 2: Building Channels with AI

• Name Generation: Used ChatGPT to suggest 20 channel names.
  • Examples: Loving Legends, Epic Streamer Moments, Hoop Loop.
• Logo and Banner Creation:
  • Logos: Created using Maturiny.
  • Banners: Attempted with Canva, then switched to Photoshop.
• Content Creation Challenges:
  • Time-consuming process: Sifting through hours of content.
  • Need to stay updated with relevant content (e.g., celebrity drama, live streams, NBA games).

AI Tool: Clip Anything

• Functionality: Helps in finding the right video clips by detecting visuals, expressions, and text.
• Process: Import content, prompt for desired clips, and AI compiles the best moments.

Chapter 3: Tweaking Videos for Engagement

• Editing Tools: Use of Opus Clip and CapCut editor.
• Editing Techniques:
  • Apply filters, voiceovers, hooks, and transitions.
  • Use of music overlays and animations to enhance uniqueness and reduce copyright risks.
• Testing: Experimenting with different styles across three channels.

Results

• Initial Outcomes:
  • "Laughing Legends" channel had 560 views; low engagement (16 seconds average watch time).
  • Other channels had similar view counts with slight variations.
• Follow-up Results:
  • Continued uploading after initial tests.
  • Gained better traction with some videos reaching 14k views.

Conclusion

• Consistency: Consistently uploading content can potentially yield better results.
• Next Steps: Consider running the experiment for 30 days to gather more data.
• Call-to-Action: Invite viewers to express interest in a longer test period.