Hey everyone, the cafe scene I shared got me thinking about what makes an AI shot usable in an edit. Here are a few lessons from my Blender + ComfyUI tests on a 16 GB GPU. I hope sharing the mistakes saves someone else some time. 1. Decide what must stay consistent before generating: who is in the shot, where they stand, the location and the action. Depth helped my staging, but did not guarantee faces or architecture. A real location photo helped more than another preservation prompt. 2. Choose by the shot, not the model's reputation. Wan VACE often held geometry better in my comparisons; H3 was useful for faster character tests; LTX sometimes improved materials while changing lighting or people. Each still needed review. 3. Budget for retries and review. My recent 32-second cafe take took about 78 minutes across four segments. No cloud generation credits, but definitely a time cost. A short test is valuable before a longer run. 4. Judge the sequence in playback. Check identities, eyelines, colour and the joins between segments. An upscale can add attractive detail while changing the source. I'm still working toward a repeatable process I'd trust on my own film. What most often stops a promising AI shot from making your final edit?

And it might be burning through your budget for absolutely no reason. 💸 Every few weeks, there's a new model. Better physics, better motion, insane demos. Everyone rushes to use it. Seedance. Kling. HappyHorse. Whatever comes next. But here's what I've learned from producing AI microdramas end-to-end: You don't need the BEST model for every shot. You need the RIGHT one. 🎬 Complex action? Maybe that's where you spend your premium credits. 🎭 Simple character movement? An older, cheaper model might do the job perfectly. ⚡ Basic camera movement? Why pay 5x if you don't need to? I've built production workflows around this exact thinking: premium models where they actually matter, cheaper tools wherever they can deliver the same result. Because the real cost isn't what a model charges per generation. It's what you spend getting a USABLE shot. A great AI filmmaking pipeline isn't built around the most expensive tools. It's built around knowing the SUPERPOWER of every tool in your arsenal. And more importantly, knowing when NOT to use it. What's one older AI video model you still swear by? 👇 📖 Read the complete article: https://lnkd.in/d5b9JDcD

Never depend on first shot generations for characters or environment! Build on top of the base! Keep on building until it gets some personality! The more high quality your assets are, More high quality your video generations will be! Early exploration phase from a new feature film below (WIP)

Im working on a detailed breakdown about how I pull of visually stunning microdramas without burning unnecessary credits. Case study arriving soon Here are some visuals around this workflow gives me at lowest generation cost ever possible! (from a live microdrama series)

After generating a lot of AI video, one thing becomes obvious: The prompt isn’t the production. The strongest results happen when you start thinking like a filmmaker, not someone trying to get lucky with generations. Here are some of the principles I follow: 🎬 1. Build before you generate. Define your characters, locations, wardrobe, props and visual language first. Consistency is much easier when the world already exists. 📷 2. Design the shot, not just the scene. Lens, framing, camera position, lighting, blocking and movement matter. “A woman walking through a city” leaves too much to chance. 🎭 3. Give every shot a purpose. Ask yourself: What does this shot add to the story? A beautiful generation that contributes nothing is still a weak shot. ⚙️ 4. Respect physics and chronology. Clearly establish where people and objects are, what happens first, and what causes the next action. Then give the model enough freedom to perform it naturally. 🧬 5. Consistency starts with references. Good character and location reference sheets can save you dozens of rerolls later. ✂️ 6. Don’t fix everything in the edit. If a generation is only “good enough,” regenerate it. Editing can improve timing. It can’t turn a fundamentally weak shot into an A+ shot. 🔊 7. Sound is half the film. Dialogue, ambience, Foley, impacts, room tone and music are what make generated images start feeling like cinema. 🔥 8. Be ruthless with quality. Before keeping a shot, I ask myself: Would I confidently show this to a $10K client? If the answer is no, I generate it again. AI makes production faster. It doesn’t lower the standard. If anything, when generating another take costs minutes instead of thousands of dollars, there’s even less excuse to settle. What AI video best practice has improved your work the most? 👇