# Podcast Production Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/podcast-production
> Markdown URL: https://aitinkerers.org/technologies/podcast-production.md
> Technology record last updated: 2026-04-03T21:01:24Z
> Generated: 2026-09-22T12:39:34Z

End-to-end audio engineering: capture, edit, mix, and distribute broadcast-quality episodes to platforms like Apple Podcasts and Spotify.

Podcast Production is the full technical workflow: it moves content from raw concept to global distribution. The process begins with hardware selection (e.g., a Shure SM7B mic and a Rodecaster Pro interface) and recording in a Digital Audio Workstation (DAW) like Adobe Audition or Descript. Post-production is critical: this involves multi-track editing, noise reduction (using tools like iZotope RX), mixing, and mastering to industry standards (e.g., -16 LUFS). The final, polished audio file is then uploaded to a host (like Buzzsprout or Libsyn), which generates the RSS feed for automatic distribution to all major directories. This entire system ensures consistent, professional sound quality across every episode.

- Official technology site: https://www.riverside.fm/how-to-produce-a-podcast-guide
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Demo of Jellypod.AI - AI driven podcast creator](https://dc.aitinkerers.org/talks/rsvp_u8DeCMwnQBY)

Jellypod is a podcast-creation studio that helps you create, edit, and publish AI podcasts. The content is entirely AI generated, with the flexibility to customize the hosts, script, and more. Check it out at Jellypod.AI - we leverage this at our company to create podcast content, because folks are too busy to get into the studio to record...not a pitch, just a fan/user of the system.

- Event context: AI Tinkerers - DC Metro Meetup (January 15th 2025) — 2025-01-15 — DC
- Public talk page: https://dc.aitinkerers.org/talks/rsvp_u8DeCMwnQBY

## Related Technologies

- [BERT](https://aitinkerers.org/technologies/bert) ([Markdown](https://aitinkerers.org/technologies/bert.md)) — 179 public demos
- [Content Generation](https://aitinkerers.org/technologies/content-generation) ([Markdown](https://aitinkerers.org/technologies/content-generation.md)) — 1 public demo
- [GPT-3](https://aitinkerers.org/technologies/gpt-3) ([Markdown](https://aitinkerers.org/technologies/gpt-3.md)) — 191 public demos
- [GPT-4](https://aitinkerers.org/technologies/gpt-4) ([Markdown](https://aitinkerers.org/technologies/gpt-4.md)) — 529 public demos
- [Jellypod](https://aitinkerers.org/technologies/jellypod) ([Markdown](https://aitinkerers.org/technologies/jellypod.md)) — 1 public demo
- [Keras](https://aitinkerers.org/technologies/keras) ([Markdown](https://aitinkerers.org/technologies/keras.md)) — 74 public demos
- [ONNX](https://aitinkerers.org/technologies/onnx) ([Markdown](https://aitinkerers.org/technologies/onnx.md)) — 83 public demos
- [PyTorch](https://aitinkerers.org/technologies/pytorch) ([Markdown](https://aitinkerers.org/technologies/pytorch.md)) — 273 public demos
- [scikit-learn](https://aitinkerers.org/technologies/scikit-learn) ([Markdown](https://aitinkerers.org/technologies/scikit-learn.md)) — 84 public demos
- [Studio](https://aitinkerers.org/technologies/studio) ([Markdown](https://aitinkerers.org/technologies/studio.md)) — 1 public demo
- [TensorFlow](https://aitinkerers.org/technologies/tensorflow) ([Markdown](https://aitinkerers.org/technologies/tensorflow.md)) — 90 public demos
