My existing Node.js n8n automation stitches short video clips with FFmpeg, runs them through OpenAI Whisper for transcription, then pushes the finished file to cloud storage. The transcription step is currently breaking and blocking the entire chain, so the immediate priority is to track down and resolve whatever is tripping Whisper. While you are inside the flow I also want to tighten things up: remove any unnecessary nodes, streamline data hand-offs for better overall efficiency, and introduce solid error-handling so failures never stall the pipeline unnoticed. Clear, timestamped logging inside n8n (and, where useful, in the Node.js helper code) should make future debugging painless. Next, the finished video needs to travel beyond cloud storage. I’d like the workflow extended to post directly to popular social networks via their official APIs. Credentials and endpoint details will be provided; just lay the groundwork so new platforms can be plugged in with minimal extra effort. Deliverables • Fix Whisper transcription bug (workflow runs end-to-end without manual intervention) • Refactor nodes/code for measurable speed gains and lower resource use • Add robust try/catch or n8n Error Trigger logic plus concise logging • Implement modular social-media upload module, ready for API keys and tokens All current source code, environment variables, and FFmpeg commands are neatly organised and will be shared once we lock in milestones. Let me know your preferred approach and any questions about the existing setup so we can get started right away.