Sameer Vish — I Built a $10,000 Cinematic Website with Kimi K2.6 + Claude 4.7 (No Coding)
Source: YouTube Channel: Sameer Vish (17300 subs) Duration: 9:02 Views: 84737 · Likes: 4086 Video: Watch on YouTube
Stop using AI like a chatbot. In this video, I show you how to orchestrate two specialized AI models, Kimi K2.6 and Claude 4.7, to build a cinematic, Awwwards-grade Japan tour booking site in under 15 minutes. Zero coding. Zero templates. Just the right model for the right job.
🎨 GET ALL THE PROMPTS & ASSETS (FREE): Every prompt I used in this video — the master Kimi prompt, the Claude refinement prompt, the Pinterest reference, plus the full asset pack — is on AuraScenes for free. 👉 https://aurascenes.tech
This is not a generic AI-built SaaS dashboard with purple gradients. This is a layered hero with z-index typography sitting behind mountain landscapes, scroll-linked parallax across four planes, viewport-triggered timeline staggering, glassmorphism over cherry blossoms, custom cursor with smooth lerp, and Lenis smooth scroll across the entire page. Built using a two-model workflow that real frontend engineers will start using once they realize one tool can’t do everything.
The Thesis: Kimi sees. Claude thinks. Antigravity ships. Most AI coding tools are blind — they pipe your image through a separate vision model, lose all the spatial information in translation, then hand a vague text description to the coding model. Kimi K2.6 is structurally different. It has a vision encoder called MoonViT baked into the same trillion-parameter MoE that writes code, trained from day one on 15 trillion tokens of mixed visual and textual data. Vision and language grew up together — not bolted on after the fact. And it runs an internal agent swarm that scales up to 300 sub-agents executing 4,000 coordinated steps. That’s why it nails layered designs that break Cursor, Lovable, and v0. But Kimi has a ceiling. Scroll-triggered animation logic, viewport reasoning, parallax physics — that’s deep code reasoning. That’s where Claude 4.7 inside Antigravity takes over. One specialist for layout, one specialist for motion. Two brains, one pipeline.
What You’ll Learn:
How to find Pinte
Key Insights
Look at this. This cinematic Japan tour booking website it has layered typography. It has cool staggered timelines. It has glassmorphism of Mount Fuji animated sections even this tiny AI generated videos and I built it all in 10 minutes without any coding using the new model Kimi K2.6 [music] that is absolutely free to use and completely open source. And not just this website, but look at all these landing pages. It was all created using Kimi K2.6. Agencies [music] charge thousands of dollars for sites like this and they take weeks. And here’s the part that nobody talks about is that I didn’t use one LLM or one AI model or one platform to build this. I used couple of AI models because the future of front end isn’t just one model that is that does everything badly. [music] It’s the right model for the right job. Kimi K2.6 to see the design, Claude Opus 4.7 to think through the code, and Anti-gravity to ship it. And in the next 10 minutes, I’m going to show you the exact workflow, the references, the prompts, the handoff, and the one critical bug that breaks every other AI tool on the market, but not this stack. This is what 99% of web coders are shipping right now. Same purple gradient, same SAS card grid, same Bento grid, same boring hero sections. [music] Meanwhile, the real creative agencies are still booking five-figure projects every single week because no AI tool out there can actually replicate awards level websites until now. But before that, if you’re tired of the AI slow hype and 100k MRR and all this garbage on YouTube, and you want to learn actual applied engineering, hit that subscribe button and let’s get into it. So, step one isn’t writing prompts, it’s finding the right reference. Most people fail right here. They grab the first pretty image they see it and they just fed it to AI or just start prompting mindlessly. Then they wonder why their build looks like garbage. But here’s a framework that I use. I just go to Pinterest or Dribbble and brainstorm some ideas and design and see what I find. This Japan Tours website. Look at why this works. It has four distinct design challenges that most AI tools choke on. One is the layered Z-index. The word Japan sits behind the mountains. Another top of the letters peak above the mountain line. So, let’s see if Kimi K 2.6 can. Quick technical aside on why we’re using Kimi here, not Cursor, not Lovable, not V0. So, most coding LLMs are blind. When you upload an image, they run it through a separate vision step, basically GPT-4 Vision, that describes the image in text, and that text gets passed on the coding model. So, two different brains are used and information gets lost in translation. So, Kimi K 2.6 is structurally different. It has a vision encoder model called Moon ViT that is baked directly into the same model that writes the code. So, when it looks at your reference, it’s not reading a description. It’s seeing the layout. So, spatial relationships like a Z-index hierarchy, typography weight, all in the same reasoning path that generates the React components. And it doesn’t write one massive monolithic file. Kimi runs an internal agent swarm. So, it basically run concurrently and run multiple AI agents into a single code base. And that’s why it nails layered designs that break every other tool apart. So, let’s do this. Just type Kimi K 2.6 in your browser. Uh click on this link. I’ve already signed up and uh now I’m just dropping our Japan Tours reference into Kimi. Uh I’ll use Kimi K 2.6 here. And now I’m pasting the master prompt. You can just grab this full prompt in the description. It’s completely free. The prompt does three things. It tells Kimi me text stack like Next JS 14, Tailwind, Framer Motion, Lenis 4, uh smooth scroll.” It defines a visual aesthetic, and it locks in the four design challenges as non-negotiable. Okay, after it gets completed, it will take like 5 minutes. You can see here multiple agents worked in parallel. Uh one was scaffolding the React
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