Staring down hours of raw footage, the hunt for the perfect "in" and "out" points is the most tedious part of an editor's job. What if you could automate that first, grueling pass and jump straight to crafting the story? The Core Principle: Context-Aware Chunking The key to effective AI automation isn't just finding clean audio. It's Context-Aware Chunking . This means AI analyzes the transcript’s linguistics to detect complete thoughts—like sentence conclusions, topic shifts, and punchlines—rather than just chopping at every pause. For a 90-minute interview, it can chunk a guest’s entire anecdote, from setup to punchline, as one coherent clip for your highlight reel, preserving the narrative intent. How It Works In Practice A tool like Descript , which creates a synchronized transcript with frame-accurate timecode, is your starting engine. It logs every word to the frame, providing the perfect data for AI analysis.…