Most people think the hard part of an AI video pipeline is the AI. It's not. It's the glue.
I just finished a fully automated skeleton-style video system, the kind blowing up on every feed right now. Transcribe a YouTube video, rewrite the script with a custom prompt, generate voiceover with ElevenLabs, create consistent AI images with reference anchors, animate them with Kling via PiAPI, merge everything with FFmpeg through FAL, burn captions, then push to social with a single Slack approval. Zero manual steps after you drop a URL in Airtable. The part that took the longest wasn't the AI nodes. It was keeping audio and video in sync across nine separate clips, and making sure ElevenLabs got the previous and next text so the voice didn't sound chopped. That one detail alone made the output go from robotic to actually watchable. Total cost per video? Under 50 cents. What's the trickiest sync or timing issue you've run into building multi-step media pipelines? Image Prompt: A flat lay overhead view of a simple automation flowchart sketched on a dark desk, showing labeled boxes connected by arrows: "YouTube URL", "Transcribe", "Rewrite", "ElevenLabs Audio", "AI Image", "Kling Video", "FFmpeg Merge", "Slack Approval", "Post". The sketch looks hand-drawn or lightly diagrammed, like a builder's whiteboard plan. Warm dim lighting, no branding, no logos, feels like a late-night build session.