Agentic AI Video Generator

I want to build a proof-of-concept pipeline that turns my training scripts into short, live-action videos automatically. The goal is to have an “agentic” workflow—one that chains together LLM prompts and generative-video APIs so I can feed in plain text and receive finished MP4s with captions and thumbnails.

Scope for this first milestone is intentionally lean:
• Select and connect appropriate live-action synthesis services such as Runway Gen-2, Synthesia, D-ID, Colossyan, or a comparable tool, using Python or Node plus LangChain/AutoGen (or a similar agent framework).
• Script the agent logic to:
– take a text lesson as input,
– generate voice-over, on-screen presenter or b-roll,
– compile everything into a 1080p video,
– export SRT captions and a thumbnail.
• Produce 2–3 sample training videos with the pipeline to prove repeatability.
• Supply clean, commented code and a step-by-step README (or short screencast) so my non-technical team can rerun the workflow.

Acceptance criteria
– Runs locally or in Colab with minimal setup.
– Live-action look; no animated or whiteboard styles.
– Consistent audio quality and branded lower thirds.

Deliverables: source code, config files, documentation, and the sample videos.

Timeline: I’d like the prototype ready within a week; further refinement can follow once this baseline is solid.