#348 Demo: Multi-Stage Media Processing Pipeline

## Overview Video processing with parallel execution, transcoding, and AI transcription. ## Workflow Steps 1. User uploads raw video 2. Transcode to 1080p (long-running) 3. Parallel execution: - Generate thumbnail - Extract audio → Transcribe (AI) → Translate to Spanish → Burn subtitles 4. Merge all assets 5. Upload to CDN 6. Email user ## Tools Required - tools.shell.run ✅ (FFmpeg) - tools.llm.call ✅ (transcription/translation) - tools.http.request ✅ (CDN upload) - tools.email.send ✅ - Media Processing App ❌ (marketplace - cloud transcoding) ## DSL Operators TaskOperator, ParallelOperator, ActivityOperator (long-running), WaitForEventOperator ## Mock Implementation - Use FFmpeg for actual transcoding - tools.shell.run for video operations - LLM for transcription demo ## Durable Advantages - Auto-retry on transcode crash - Resume from checkpoint after server death - Parallel branch coordination