How I Actually Use AI as a Filmmaker (Without Letting It Take Over)

AI has probably saved me hundreds of hours as a filmmaker. I use AI before I ever pick up a camera, during parts of production, and especially in post-production. But there’s one part of filmmaking I’m not letting AI do for me: Decide what the story actually means. In this episode of Yehagraphy, I break down how I actually use AI throughout my professional filmmaking workflow—from pre-production and research to generative AI, video editing, audio cleanup, and post-production. For me, AI isn’t about replacing the filmmaker. It’s about removing friction from the creative process. 🎬 PRE-PRODUCTION This is actually one of the places I use AI the most. I use it as a second brain to research unfamiliar topics, brainstorm concepts, develop interview questions, challenge ideas, organize scripts, and figure out what I might be missing. I don’t want AI to simply give me an idea. I bring my own experience, opinions, stories, and creative direction. AI helps me develop and organize them. AI can help organize your thoughts. Unfortunately, you still need thoughts. 🎨 PREVISUALIZATION AI lets me start seeing an idea before production through storyboards, concept frames, mood boards, shot ideas, lighting references, locations, and even AI-generated video. For client work, this can be incredibly useful because I can communicate an idea visually before we spend the time and money creating it. 🎥 PRODUCTION Once I’m actually filming, I use AI much less. AI can help me prepare a shot list, develop interview questions, and organize information. Modern cameras also give us incredible autofocus, subject detection, and tracking tools. But filmmaking still requires recognizing the unexpected moment happening right in front of you. AI can help me prepare for the moment. But I still have to recognize the moment. 🤖 GENERATIVE AI I use generative AI for images, video, voice, historical visuals, abstract concepts, missing archival footage, environments, transitions, and shots that might otherwise be unrealistic for a production budget. But I always try to ask: What problem is this solving? Just because AI can generate a beautiful shot doesn’t mean the story needs it. AI can create the shot. You decide if it belongs. ✂️ POST-PRODUCTION This is where AI probably saves me the most time. Transcription. Dialogue search. Captions. Organizing footage. Audio cleanup. Noise reduction. Masking. Rotoscoping. Object removal. Translation. AI helps me get through repetitive work faster so I can spend more time making actual creative decisions. AI isn’t making my edit. It’s helping me get to the edit faster. And remember: AI can clean up noise. It cannot clean up regret. The biggest reason I use AI isn’t to create more content. It’s to give me more time for the things that actually matter: improving the story, polishing the edit, working with clients, spending time with my family—and occasionally getting some sleep. 😂 AI DOESN’T GET FINAL CUT AI can suggest. AI can organize. AI can generate. AI can accelerate. But eventually, somebody still has to say: “This is the story.” The tools have changed. The responsibility hasn’t. Episode 7.srt Instead of asking, “Can AI make this for me?” Ask: “How can AI help me make this better?” 👇 How are you using AI in your filmmaking workflow? Pre-production, production, or post-production? Let me know in the comments. CHAPTERS 00:00 AI Has Saved Me Hundreds of Hours 00:43 How I Use AI for Filmmaking 01:29 AI in Pre-Production 04:14 AI Previsualization 05:20 AI on Set 06:58 Generative AI 08:37 AI in Post-Production 09:17 Editing Interviews With AI 09:51 AI Audio Cleanup 11:07 AI Doesn’t Get Final Cut 12:07 The Tools Changed Use the tools. Keep your judgment. Story first. Always. #AIFilmmaking #Filmmaking #VideoEditing #FilmmakingTips #Yehagraphy