I have currently started a podcast that is heavily dependent on AI. The podcast is www.Repping101.com designed for people that want to start a manufacturers’ rep business, it is a mixture of a shortform podcast and serialized educational content. Using AI, the production time per episode is reduced by up to 90% and audio editing and retakes are almost completely eliminated.
My AI Podcasting Tech Stack
Here’s a behind-the-scenes look at how AI transforms my podcasting workflow:
- Content Creation:
- I provide the core content, drawing from my industry expertise
- AI tools like Microsoft Copilot and Claude help condense and refine the material
- The result? Crisp, focused content that gets straight to the point
- Audio Production with Google NotebookLM:
- The platform’s audio overview feature is a game-changer
- Two AI-generated voices bring the content to life
- Remarkably realistic audio with nuanced touches like subtle laughs and natural breathing sounds
- Capable of synthesizing up to 50 documents into a single, coherent narrative
- Technical Processing:
- High-resolution .wav files capture pristine audio quality
- Easy conversion to more manageable MP3 formats
- Final polish with Descript for adding music, intros, and outros
The Human/AI Team
While AI handles the heavy lifting, I provide the content and the final stamp of approval before release.
Why This Matters for Content Creators
- Efficiency: Dramatically reduced production time
- Quality: Professional-grade audio without expensive equipment
- Scalability: Quickly produce consistent, high-quality content
I hope this brief overview was helpful.
