Vibe Coding
Vibe Coding is a workflow for converting AI-generated audio content into formatted video podcast episodes. The process combines audio sources—typically conversations generated through tools like NotebookLM or existing podcast recordings—with video creation tools to produce content ready for distribution on platforms such as YouTube. This approach automates much of the manual work traditionally required to produce video podcasts, making it accessible to creators working with AI-generated material.
Core Tools and Process
The workflow primarily uses JellyPod and JoggAi to handle the transformation. JellyPod manages the podcast feed and audio organization, while JoggAi handles the video creation and formatting aspects. These tools work together to take raw audio—whether from NotebookLM’s conversation feature or pre-existing podcast recordings—and automatically generate accompanying video content with appropriate visuals and layout suitable for online distribution.
Use Cases
Vibe Coding enables creators to efficiently repurpose AI-generated conversations into multimedia content without extensive manual editing or production work. This is particularly useful for those already using NotebookLM for research or discussion generation, as it extends the value of that content by converting it into a video format that reaches broader audiences on video platforms.
Source Notes
- 2026-04-14: GPT5 vibe coding - Creator Magic channel
- 2026-04-08: AutoResearch explained..
- 2026-04-07: AI Tools Redefine Design and Creative Workflows Google Stitch · ▶ source
- 2026-04-18: AI Coding Cost Overruns Vercel Bill Lessons from Journey Kits Deployme · ▶ source
- 2026-04-22: Google · ▶ source
- 2026-04-26: Karpathy