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First try at generating a voxel city with Codex + Three.js It works: roads, buildings, parks, traffic lights, pedestrians… But it still feels too clean and too grid-like. I think the next step is adding more street-level details, traffic density, and urban chaos. How do you find it? Any...

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Givros

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11,057 Aufrufe • vor 1 Monat •via X (Twitter)

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Codex is a monster with 2D games. But what is it worth with 3D and Three.js? 👀 Codex + GPT Image 2.0 + a crazy prompt = • playable 3D forest scene • humanoid character fully made of leaves 🍃 • dense foliage covering the whole body • third-person movement • wind animation on every leaf • SPACE transformation into a flying leaf swarm • leaf trail while moving • runs directly in the browser AI doesn’t just help you code faster. It lets you test ideas that would normally feel too complex to even start. Comment “leaf” and I’ll share the prompt. #ThreeJS #WebGL #Codex #GPT5 #AIAssistedDev

Givros

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Codex is unusable. I generated one image with GPT Image 2.0, gave it to Codex, and used one simple prompt: “Create me a web game from this image.” You give it a simple image like this, and suddenly you realize you can build: • a voxel map • an editor • tile animations • a playable browser prototype This is getting ridiculous.
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Codex is unusable. I generated one image with GPT Image 2.0, gave it to Codex, and used one simple prompt: “Create me a web game from this image.” You give it a simple image like this, and suddenly you realize you can build: • a voxel map • an editor • tile animations • a playable browser prototype This is getting ridiculous.

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Everyone is still writing prompts… I trained an AI agent once and now it works exactly how I think. No repeating context. No fixing outputs. This feels like the next step of AI👇
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Everyone is still writing prompts… I trained an AI agent once and now it works exactly how I think. No repeating context. No fixing outputs. This feels like the next step of AI👇

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I made my own version by giving Codex the reference images. First, I gave it the Japanese voxel game concept. Then, I gave it the asset sheet. Codex created the game assets based on that asset sheet, then used them to build the playable browser game. Comment “voxels japanese prompt” if you want the prompt.👇
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I made my own version by giving Codex the reference images. First, I gave it the Japanese voxel game concept. Then, I gave it the asset sheet. Codex created the game assets based on that asset sheet, then used them to build the playable browser game. Comment “voxels japanese prompt” if you want the prompt.👇

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GPT-5.6 Pro is insane. It didn’t just beat Claude 5, Fable and Mythos. It crushed them. One prompt, just 5 minutes. And voila: A full low-poly Three.js island game with water, beach bar, boat, shark, fish, whales, sports area, NPCs and Ibiza vibes This is getting ridiculous. That is what I would write if I was not honest with you. That is what I would post if I only wanted a viral clickbait tweet. And this is exactly why you should always be careful with what you read on social media, especially on X. There is no GPT-5.6 yet. This prototype was made with GPT-5.5, in 6 iterations, after more than 40 minutes of back-and-forth with Codex. Yes, it started with one prompt, and I will share that prompt below. But the final result came from many corrections, adjustments, fixes, visual tweaks, Three.js issues, camera changes, object placement improvements, and a lot of manual direction. That is the real workflow. I share build in public content here to show what you can actually do with AI, but also to show that there is no magic dust. AI is powerful. Very powerful. But the difference between a cool demo and a real usable prototype is still iteration, feedback, taste, debugging, and direction. Yes, I am also waiting for GPT-5.6. It will probably arrive next week, and when it does, we will test it here properly, in public, with real prompts, real iterations, and real results.

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This is the part people don’t show enough about AI game dev on X. Behind every “Fable 5 made me a full game in one prompt” post, there’s usually a lot of bullshit. I gave AI a strong /goal: optimized Three.js grass, chunks, LOD, shader wind. It produced something. It understood part of the direction. But it still missed. That’s the real workflow. A prompt can give you a starting point. It doesn’t magically give you taste, debugging, optimization, and iteration. You can test the /goal below.
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#GirlRulesSeriesEP3 #NamtanFilm #ViewMim #MilkLove (👧 = Mim) 👧: This, in the next EP, I’ll ask her, “You kissed me, and we’re really just gonna be phi-nong?” Please stay tuned for the next EP. I wanna know the answer too. 🤍: When you said, "You kissed me, and we’re really gonna be just phi-nong?" that line is lowkey directed at Prim too. I want- ❤️‍🩹: I think I found the person who hasn’t moved on. 👧: Here we go. 🤍: But I asked her first. I had a condition. 👧: Yeah? 🤍: I asked, “If we kiss, will you still be able to work with me?” And she said yes… then we made out. And bam! then came the happy birthday scene. Game on. Something like that. But I don’t… I don’t really like Prim. I don’t really like her. And I’m annoyed with Bambi too. ❤️‍🩹: You’ll know how it feels when I’m gone! 🤍: Hahaha, I’ll know how it feels in EP4. ❤️‍🩹: You’ll know how it feels when I’m gone.

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