I am building an autonomous AI video editor designed to take...

Prompt

I am building an autonomous AI video editor designed to take 1-2 hours of raw, chronological footage and automatically edit it into a highly engaging, fast-paced YouTube video. To maximize viewer retention, I am implementing an "Algorithmic Hook" strategy for the first 30 seconds. The AI uses a multimodal scoring function (semantic, audio energy, visual optical flow) to find the highest-impact 3-second moment from deep inside the video (e.g., the climax or the biggest mistake) and places it at 0:00 as an open loop. The Problem: Ripping a climax clip from "Chapter 3" and placing it at the very beginning creates a severe chronological and narrative discontinuity when the AI needs to transition the viewer into "Chapter 1" to start the actual story. If not handled correctly, this feels like a disjointed, confusing mess rather than a cohesive narrative. The Task: Design the backend logic and narrative architecture required to solve this bridging problem. Specifically, please explain: Semantic Indexing & Story Graphing: How should the AI map the 2 hours of footage into logical chapters before making any cuts? The Bridging Mechanism: What specific techniques (generative voiceover, semantic transition phrase searching, visual event-based cutting) should the AI use between seconds 0:03 and 0:15 to bridge the high-energy hook back to the chronological start of the story smoothly? Pseudo-code / Logic Flow: Provide a clear logic flow or pseudo-code showing how the AI selects the hook, maps the story clusters, and generates the contextual bridge between them. Tell me if you have some another method or what else should i do so it creates perfect AI video ediging