I’m building an avatar-based podcast training series and I need a genetic-AI workflow that can transform any script I provide into a complete video module. The goal is simple: a realistic on-screen presenter narrates my content while the system automatically inserts engaging, interactive graphics and supporting video clips at the right moments. Here’s what matters most to me: • Interactive graphics and videos must steal the show—they should illustrate key concepts, animate data, and invite the viewer to click, pause, or explore. • Avatars must look realistic, lip-sync flawlessly, and be easy to re-skin for future episodes. • The entire pipeline—from text input to final MP4—should run with minimal manual tweaking, whether you build it in Python with PyTorch/TensorFlow or orchestrate commercial generative-media APIs. Deliverables 1. A working proof-of-concept that accepts a text script, generates the realistic avatar narration, and stitches in AI-created graphics/video to produce a cohesive training module. 2. Source code plus clear setup and usage instructions. 3. A short sample episode built from one of my scripts to demonstrate quality and flexibility. If you’ve already combined text-to-speech, avatar generation, and dynamic video assembly, your experience will be invaluable. Let’s create a tool that turns raw educational content into polished, visually compelling podcast-style lessons at the click of a button.