Behind the Scenes of AI-Powered Video Podcast Editing ① Filming ② Save footage on desktop ③ Request AI processing (via Claude using Palmier Pro) @Palmier_io ④ Automatic editing following a predefined template: - Logo placed in top-right corner (upload and position your own local file) ※See attached video at 10 seconds - Topic displayed in top-left corner - Subtitles shown at the bottom → Full transcript is automatically generated, topics are intelligently segmented and displayed, and subtitles are positioned based on contextual breaks ※Starts at 20 seconds in attached video; topic generation begins around 1:55 ⑤ Manual refinement and feedback to continuously improve the AI’s performance. In my experience, the transcription is already 80–90% perfect. By fine-tuning proper nouns and subtitle timing to match your preferences, the system evolves over time. Side note: Starting with this project, I instructed the AI to analyze context and automatically insert relevant explanatory images. The workflow now runs automatically: transcription → topic recognition → inference of where to insert visuals → call Nanobanana to generate images → insert them into the video. This attached video only shows a small portion of the full process—including the image insertion. Next, I’ll create an article (or video) walking through the entire workflow, from the initial prompt to final output.