When people hear “AI-generated ad,” they often imagine something that looks cheap, strange, or obviously fake. Like weird hands, unnatural movement or a robotic voice. Slop content exists. But it no longer represents the limits of current technology. Last month, we made and ran more than 100 fully AI-generated video ads for our clients on Meta Ads with the majority performing at par or better than their existing "traditional" creatives. **Fully AI-generated does not mean fully AI-directed** When I say “fully AI-generated,” I mean AI produced most or all of the media inside the ad: images, video, voices, and music. But while the production can be fully AI-generated, the thinking behind it remains human. Someone still needs to decide who the ad is for, which problem it should address, what it should say, and how it should make the viewer feel. Someone needs to brief the models, evaluate the results, and decide what is ready to publish. **The best AI ads start before we generate anything** A good ad still needs a relevant problem, a clear promise, a strong angle, and a reason to believe. Before generating anything, we need to know: * Who are we trying to reach? * What problem are they experiencing? * What do they believe about the available solutions? * What would make this product relevant to them? * What objections might stop them from buying? * Why should they trust this brand? AI has not made those questions less important. By making production faster, it has made weak thinking easier to expose. **Cheaper production does not remove the need for taste** Some people imagine businesses generating endless ads with almost no human involvement. We are not there today. I am also not convinced that removing people from the creative process should be the goal. Given the same generic information, AI tends to produce familiar outputs. The hooks sound alike. The scripts follow th...

Video is basically mandatory on Shopify now, but making them takes forever. I set up an AI engine to auto-generate raw product demos and faceless reels to speed things up. It’s not Hollywood, and occasionally the text spacing gets wonky, but it actually works because it looks like a real organic post, not a polished ad. I'm dropping free renders for the first few stores to stress-test the system. Post your link below and I'll send you a UGC-style video for your brand. *Disclosure:* Just testing my own software on real Shopify stores.

I run a small DTC brand and UGC ads are the thing that actually converts for us. The problem was always supply. Finding creators, shipping product, revision rounds, usage rights. It never scaled. So I spent a while learning to make them with AI instead. You can do the whole thing yourself, but the catch nobody mentions is that it is not one tool and one button. A finished ad takes about 7 tools working together. Here is the process. 1. Analyze the product first. Upload photos to an LLM and ask it to describe your product the way a camera sees it. Colors, container, label text, finish. Save that paragraph. Every tool downstream is guessing what your product looks like, and this keeps it consistent across every scene. 2. Pick an angle. Problem to solution, testimonial, before and after, or storytime. You do not need to invent one. 3. Write a short script. 40 to 80 words. Hook, agitate, reveal, proof, CTA. Read it out loud and cut anything you stumble on. 4. Storyboard into scenes. Talking head hook, product shots, faceless b-roll. The timing has to add up. If the voiceover is 30 seconds, the scenes total 30 seconds with no gaps. 5. Generate your creator as a still image first, then bring them to life with an image to video model. Video tools work way better when you hand them a starting frame. 6. This is the trick that made it all click. Clone the voice from your best talking clip in ElevenLabs, then generate the full voiceover in that same voice. Now your b-roll and your talking parts sound like one consistent person. 7. Generate product b-roll from a clean product still. 8. The step everyone skips. Match and clean the audio in Audacity. Cut silences, splice at clean word boundaries. This is the difference between one person talking and something that sounds stitched together. 9. Assemble in CapCut at 9:16. 10. Captions. Most people watch on mute, so captions a...