How to use AI in video production.

Here's a secret about this show. My set, my B-roll, even this shot of me talking, it's all generated by AI. The voice is mine, cloned with my permission. So let's talk about how to actually use AI in production. There are three ways to use it. Fully generated, hybrid, and AI inside your VFX and post pipeline. Each one fits a different job. Fully generated means every frame comes from a model. It's fast and cheap for explainers, pitches, previs, and social.

The catch is consistency. Faces drift, hands melt, and on-screen text gets weird. So you check every take. Hybrid mixes real and generated. Real hosts and real product shots with AI for B-roll, set extensions, or a location that would cost a fortune to build. For most productions, this is the sweet spot right now. Then there's the AI you never notice. Rotoscoping and masking, object removal, upscaling, noise cleanup, captions and translation.

It's already built into the tools editors and VFX artists use every day. To get started, use a platform. One login, many models, like Kling, Google, and ByteDance. Plus voices from ElevenLabs. When you're ready to scale, move to APIs and build so you can swap models because they change fast. OpenAI's API is a great example. GPT Image 2 makes storyboards, thumbnails, and title cards with clean, readable text. And their speech models handle transcription, captions, and even live translation.

Here's how this show gets made. Write the script. Generate a still. Animate it. Generate my voice, then lip sync the video to it. Then code cuts it, captions it, and checks the sync before anything ships. Three rules. Get consent for every face and voice. Label AI content, every platform has a checkbox for it. And keep a human on taste and quality control. AI didn't replace the crew. It's a new crew member you get to direct.