How I Built a Real AI Commercial With Artlist Studio

My parents own a gelato store in Hawaii. I manage their social media. And I just made them a cinematic 30-second product commercial without a camera, a crew, or a production budget, entirely inside one platform.

The result actually surprised me.

The platform is Artlist Studio. It runs Seedance 2.0, Kling 3, Nano Banana 2, and VEO 3.1 inside a single project, no tab-switching, no separate subscriptions, no stitching together outputs from four different tools. Right now they're running a promotion that gives you 50,000 credits when you sign up through the link below.

Why One Platform Changes the Workflow#

The usual AI video process is a mess. You generate images in one tool, video in another, compare outputs by downloading files and opening them side by side, then manually stitch everything together. Every model lives in its own context, with its own subscription and its own prompt conventions.

Artlist Studio collapses all of that. You build a project, add shots, and switch between models inside the same interface. You can run Kling 3 and Seedance 2.0 on the same reference frame and compare the outputs before committing. That comparison step alone is worth the switch, it's the difference between guessing which model handles a specific shot better and actually knowing.

Step 1: Build the Concept First#

Before opening Artlist Studio, I used my Ad Genius Custom GPT to generate the commercial concept and a shot-by-shot script. It's free, and it's trained specifically for this kind of brief.

I gave it the brand name (Il Gelato Hawaii), the visual style, the brand voice, and asked for five concepts for a 30-second commercial with 3-to-5-second shots. It came back with a spy thriller involving seagulls (no), a drama concept (no), a prestige documentary style, a flavor portal concept, and a "Aloha vs. mainland" angle I skipped because the store serves a lot of tourists.

I pushed it for more direction, landed on a concept I liked, then asked it to generate the exact prompts for each shot, first the image reference prompts, then the video generation prompts. Having this before you open the video tool is the move. You're not improvising in the UI; you're executing a plan.

Step 2: Generate Reference Images With Nano Banana 2#

Inside Artlist Studio, each shot starts with a reference frame. You paste your image prompt into the framing tab, choose your image generator, and generate a set of options to pick from.

For most shots, Nano Banana 2 at 2K resolution in 16:9 gives you the best quality-to-credit ratio. If you want to push further, there's a Pro setting. I kept camera type and lens on auto for most shots, the defaults hold up fine unless you're going for something specific.

For the hero shot, I also uploaded an actual photo of one of the gelato cones. You can mix AI-generated frames with real product photos in the same project, which matters for brand accuracy.

Once you have your four reference options, you pick the best one and set it as your start frame. That's what the video generation anchors to.

Step 3: Video Generation and the Model-Switching Decision#

This is where it gets interesting. After selecting your start frame, you move to the directing tab, paste in your video prompt, and choose your model.

I tested both Kling 3 Pro and Seedance 2.0 on the same shots. My honest take after running both: Seedance 2.0 is in most cases even better than Kling or VEO 3.1. The outputs were more cinematic and the motion held together better for product-focused shots. I went deeper on Seedance's strengths in my Seedance 2.0 product commercial breakdown if you want to see more of what it can do.

The catch: Seedance 2.0 uses a different prompt structure than Kling 3. You can't copy a Kling-optimized prompt and expect the same quality out of Seedance. I went back to Ad Genius GPT and asked it to rewrite each prompt optimized for Seedance 2.0, keeping it concise enough to fit the context window. That extra step made a visible difference in output quality.

Generate two to four variants per shot. The platform lines them up so you can compare before you pick. This is where the side-by-side model comparison actually pays off, some shots worked better in Kling, a few were clearly stronger in Seedance. You only know by running both.

Step 4: Character Consistency (The Hard Part, Made Easy)#

The biggest technical barrier to making AI commercials look professional is keeping people consistent across shots. Most tools make this painful. Artlist Studio solves it at the project level.

For any shot with a person, you click "add character" and either upload a reference photo of a specific person or pull from their built-in character library. I needed a surfer for one shot. I browsed the library, found someone who looked right, tagged them into the project, and referenced them in the prompt with a simple mention of their character name. If you don't like the character after generating, you delete them and pick another, no starting over on the whole shot.

That character pin carries across every shot you tag them into. It's not perfect, but it's far more consistent than prompting for a "young Hawaiian surfer" from scratch every time and hoping the model produces the same person.

How the Final Commercial Came Together#

The full sequence for Il Gelato Hawaii ran through five shots: a hero gelato close-up, a flavor spread, a beach/lifestyle shot with the surfer character, happy customers, and a closing hero frame. Each shot followed the same loop, image generation, start frame selection, video generation in two model variants, comparison, pick the best.

I adjusted lighting and shot type mid-project when a couple of frames weren't reading as Hawaii enough. The golden hour lighting setting fixed the beach shot immediately.

When all the shots were lined up in the project timeline, the final cut held together in a way that genuinely looked like a produced commercial. Not "pretty good for AI." Actually usable.

If you're managing a small brand or doing client work for local businesses, this workflow is ready now. The concept-to-final-cut process I ran through here, Ad Genius GPT for ideation, Nano Banana 2 for reference frames, Kling 3 and Seedance 2.0 for video, character pinning for consistency, is repeatable on any product.

For the static side of the feed, Instagram and TikTok carousel posts, product close-ups, promo graphics, I use my own Brand Post Generator for Il Gelato Hawaii. You upload your brand assets once (logo, product shots, colors, voice), pick a content type, and it generates scroll-stopping branded posts with captions and hashtags ready to publish. Static posts for feed content, AI video for ads and reels, together they cover the full social presence for a small brand without touching Photoshop or hiring a designer.

If you want another cinematic-commercial angle, I walked through how to make a cinematic AI commercial with Kling 3.0 as a standalone workflow, useful if you want to go deep on just one model instead of running multiple side by side.

The Ad Genius Custom GPT is free. Artlist Studio has a promotion running right now. The workflow works. That's the full picture.

Watch the full video on YouTube: https://youtu.be/z2Tgl3pyIwI

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