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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...

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Givros

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11,832 просмотров • 3 месяцев назад •via X (Twitter)

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This is the best 2026 AI workflow for turning game ideas into playable prototypes: GPT Image 2.0 → reference image + tileset Codex + GPT-5.5 → my custom prompt Result → playable browser prototype I generated the Cozy Island Farm concept, turned the same visual direction into clean technical assets, then used one complete prompt to make it playable. Comment “Cozy Island Farm” and I’ll send you my custom prompt.
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This is the best 2026 AI workflow for turning game ideas into playable prototypes: GPT Image 2.0 → reference image + tileset Codex + GPT-5.5 → my custom prompt Result → playable browser prototype I generated the Cozy Island Farm concept, turned the same visual direction into clean technical assets, then used one complete prompt to make it playable. Comment “Cozy Island Farm” and I’ll send you my custom prompt.

Givros

32,592 просмотров • 3 месяцев назад

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.

Givros

83,376 просмотров • 3 месяцев назад

The new 2026 AI workflow is going to destroy the old way of prototyping games. Workflow: GPT Image 2.0: cinematic + asset sheet Codex: “make this image playable” Prompt below 👇
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The new 2026 AI workflow is going to destroy the old way of prototyping games. Workflow: GPT Image 2.0: cinematic + asset sheet Codex: “make this image playable” Prompt below 👇

Givros

36,940 просмотров • 3 месяцев назад

The new 2026 AI workflow 🤖⚡ GPT Image 2.0 → assets → Codex + GPT-5.5 → playable browser game 🎮 I turned my AI image into a web game. 🖼️ GPT Image 2 created the visual. 🎨 Codex generated the sprites and animations. 🕹️ GPT-5.5 built the prototype.
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The new 2026 AI workflow 🤖⚡ GPT Image 2.0 → assets → Codex + GPT-5.5 → playable browser game 🎮 I turned my AI image into a web game. 🖼️ GPT Image 2 created the visual. 🎨 Codex generated the sprites and animations. 🕹️ GPT-5.5 built the prototype.

Givros

942,450 просмотров • 3 месяцев назад

I tested my Blender character creation skill with Codex + GPT-5.6 Sol Ultra. The full prompt: “Create a Three.js game where the player explores different biomes. Create the character and animations with skill-blender-character.” Codex built the world, created the low-poly character in Blender, generated the outfit and integrated the animations into the game. One prompt, one custom skill, one playable prototype.
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I tested my Blender character creation skill with Codex + GPT-5.6 Sol Ultra. The full prompt: “Create a Three.js game where the player explores different biomes. Create the character and animations with skill-blender-character.” Codex built the world, created the low-poly character in Blender, generated the outfit and integrated the animations into the game. One prompt, one custom skill, one playable prototype.

Givros

10,599 просмотров • 1 месяц назад

Codex isn’t just a coding assistant anymore. It’s becoming a full AI game-dev workspace. 🦫🎮 For this project, Codex handled the workflow by using: 🖼️ GPT Image 2.0 for the visual direction, cards, enemies, and UI assets 🧠 GPT-5.5 for gameplay structure, systems, and iteration 💻 Codex to turn all of that into a real project From cozy capybara shrine images to a real turn-based card battle game. The 2026 AI game dev workflow is getting ridiculous. 🚀 Follow if you’re building games with AI. Want the full prompt I used for this? Comment “CAPYBARA” and I’ll share it.
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Codex isn’t just a coding assistant anymore. It’s becoming a full AI game-dev workspace. 🦫🎮 For this project, Codex handled the workflow by using: 🖼️ GPT Image 2.0 for the visual direction, cards, enemies, and UI assets 🧠 GPT-5.5 for gameplay structure, systems, and iteration 💻 Codex to turn all of that into a real project From cozy capybara shrine images to a real turn-based card battle game. The 2026 AI game dev workflow is getting ridiculous. 🚀 Follow if you’re building games with AI. Want the full prompt I used for this? Comment “CAPYBARA” and I’ll share it.

Givros

70,774 просмотров • 3 месяцев назад

“Use the reference image named farm_voxel.png as the main visual guide. Create a playable-looking low-poly voxel agricultural farm diorama" This is the workflow I keep pushing: 1) GPT Image 2.0 for the visual base. 2) Codex with imagegen + GPT-5.5 for the build. 3) Three.js for the prototype. result: 🎬 Prompt below 👇
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“Use the reference image named farm_voxel.png as the main visual guide. Create a playable-looking low-poly voxel agricultural farm diorama" This is the workflow I keep pushing: 1) GPT Image 2.0 for the visual base. 2) Codex with imagegen + GPT-5.5 for the build. 3) Three.js for the prototype. result: 🎬 Prompt below 👇

Givros

17,281 просмотров • 2 месяцев назад

My GOAT used my build, 1v9ed the game, called it the shogo build and then gave me a shoutout in the interview?? i love you Yiliang Peng
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My GOAT used my build, 1v9ed the game, called it the shogo build and then gave me a shoutout in the interview?? i love you Yiliang Peng

Shogo

30,350 просмотров • 1 год назад

Claude Opus 5 just one-shotted this FPS. Less than 1 hour from prompt to playable demo. Every weapon, enemy, mechanic and environment was generated from scratch. Prompt below 👇 There is no prompt below, because the first section is exactly the kind of post I’m tired of seeing every time a new model drops. A flashy demo, “one-shot” in the caption, “built in under an hour”… anything to farm impressions while conveniently hiding the actual process. If it was really made from a single prompt, show the prompt. That’s what I do on this account. When I claim something is a one-prompt prototype built with GPT-5.6 Sol Ultra and Codex, I share the prompt publicly so anyone can verify it. AI is already making game prototyping incredible. We don’t need fake “one-shot” stories to prove it. Original footage:
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Claude Opus 5 just one-shotted this FPS. Less than 1 hour from prompt to playable demo. Every weapon, enemy, mechanic and environment was generated from scratch. Prompt below 👇 There is no prompt below, because the first section is exactly the kind of post I’m tired of seeing every time a new model drops. A flashy demo, “one-shot” in the caption, “built in under an hour”… anything to farm impressions while conveniently hiding the actual process. If it was really made from a single prompt, show the prompt. That’s what I do on this account. When I claim something is a one-prompt prototype built with GPT-5.6 Sol Ultra and Codex, I share the prompt publicly so anyone can verify it. AI is already making game prototyping incredible. We don’t need fake “one-shot” stories to prove it. Original footage:

Givros

14,794 просмотров • 24 дней назад

GPT-5.3-Codex made this game using Nano Banana Pro for the assets, all on its own I only told it to redo the assets because they were incorrectly sliced
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GPT-5.3-Codex made this game using Nano Banana Pro for the assets, all on its own I only told it to redo the assets because they were incorrectly sliced

Angel 🌼

161,059 просмотров • 6 месяцев назад

After Robinhood presentation on July 1st I started to do my tradings with an AI agent. It completely changed the game. Then I gave a single prompt: buy the most culturally significant asset it can find on it skipped every tokenized stock and aped $CASHCAT Vlad Tenev your chain's culture is officially a cat sir 🐈
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After Robinhood presentation on July 1st I started to do my tradings with an AI agent. It completely changed the game. Then I gave a single prompt: buy the most culturally significant asset it can find on it skipped every tokenized stock and aped $CASHCAT Vlad Tenev your chain's culture is officially a cat sir 🐈

Merts

41,562 просмотров • 1 месяц назад

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
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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

60,728 просмотров • 3 месяцев назад

Gemini 3.7 Flash with one prompt: I gave it a detailed prompt to recreate a voxel-style Japanese pagoda garden in Three.js ~16.5K voxels, cherry blossoms, pond, torii gate, particles, lighting, camera controls and interactive UI. It generated the complete single-file HTML + JavaScript. Pretty damn impressive.
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Gemini 3.7 Flash with one prompt: I gave it a detailed prompt to recreate a voxel-style Japanese pagoda garden in Three.js ~16.5K voxels, cherry blossoms, pond, torii gate, particles, lighting, camera controls and interactive UI. It generated the complete single-file HTML + JavaScript. Pretty damn impressive.

Noctus

120,896 просмотров • 5 дней назад

I made a Dark Souls-inspired Three.js game with Sol Ultra using Codex Sites. It's fully playable in the browser. I handled the prompts, references, and libraries like img2threejs. The game has shield blocking, dodge rolls, archery, and a full inventory system. Still blows my mind that you can build a 3D game like this in a single afternoon.
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I made a Dark Souls-inspired Three.js game with Sol Ultra using Codex Sites. It's fully playable in the browser. I handled the prompts, references, and libraries like img2threejs. The game has shield blocking, dodge rolls, archery, and a full inventory system. Still blows my mind that you can build a 3D game like this in a single afternoon.

Meng To

169,453 просмотров • 27 дней назад

I tried to see how far I could push my current AI + 3D workflow and build a playable 3D game prototype in just 3 days😶 Not by asking AI to make the whole game in one prompt. I had my own idea, knew what I wanted to build, and used AI as a tool: - for concepting, - asset generation & texturing, - gameplay logic with the new UE 5.8 MCP + Claude Code. And honestly, it is crazy how far you can get now with the right workflow. Full video - #UE5 #ClaudeCode #AI3D #3DAI
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I tried to see how far I could push my current AI + 3D workflow and build a playable 3D game prototype in just 3 days😶 Not by asking AI to make the whole game in one prompt. I had my own idea, knew what I wanted to build, and used AI as a tool: - for concepting, - asset generation & texturing, - gameplay logic with the new UE 5.8 MCP + Claude Code. And honestly, it is crazy how far you can get now with the right workflow. Full video - #UE5 #ClaudeCode #AI3D #3DAI

Stefan 3D AI

20,994 просмотров • 1 месяц назад

I love when Codex outsmarts me! Asked Codex to hack this badge that I got from Temporal's conference by putting Codex pets on it. I also gave it a photo of the badge along with it. Codex found the actual firmware of the badge on GitHub to have a starter 😂
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I love when Codex outsmarts me! Asked Codex to hack this badge that I got from Temporal's conference by putting Codex pets on it. I also gave it a photo of the badge along with it. Codex found the actual firmware of the badge on GitHub to have a starter 😂

dominik kundel

35,125 просмотров • 3 месяцев назад

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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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.

Givros

26,557 просмотров • 2 месяцев назад

Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with Three.js using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using Tripo (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from Dilum Sanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code:
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Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with Three.js using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using Tripo (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from Dilum Sanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code:

The Bugged Dev

2,070,213 просмотров • 17 дней назад

today is the last day fable 5 is in the claude code plan, so i gave it something i've always wanted to build: polytopia rebuilt in pure C, RL agents trained from scratch, playable in the browser completely vibecoded. i didn't write a line. even the game assets were ai-generated using a pipeline fable created. 🧵 below
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today is the last day fable 5 is in the claude code plan, so i gave it something i've always wanted to build: polytopia rebuilt in pure C, RL agents trained from scratch, playable in the browser completely vibecoded. i didn't write a line. even the game assets were ai-generated using a pipeline fable created. 🧵 below

Binh Pham

46,021 просмотров • 1 месяц назад

Still amazed by how fast an idea can become a playable prototype Prompt → codex + ChatGPT 5.5 → playable world 🎮 A Vite + Three.js browser prototype featuring a Minecraft-style voxel ancient Chinese mountain temple, generated entirely from code.
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Still amazed by how fast an idea can become a playable prototype Prompt → codex + ChatGPT 5.5 → playable world 🎮 A Vite + Three.js browser prototype featuring a Minecraft-style voxel ancient Chinese mountain temple, generated entirely from code.

Givros

31,089 просмотров • 3 месяцев назад