Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

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...

givros's profile picture

Givros

3,162 subscribers

60,728 Aufrufe • vor 3 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

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.
0:36

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

32,683 Aufrufe • vor 3 Monaten

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 👇
0:34

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 Aufrufe • vor 3 Monaten

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.
1:02

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 Aufrufe • vor 1 Monat

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.
0:26

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 Aufrufe • vor 4 Monaten

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.
0:37

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

70,884 Aufrufe • vor 4 Monaten

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.👇
1:08

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.👇

Givros

11,832 Aufrufe • vor 3 Monaten

Codex + GPT-Image-2 + Three.js = instant interactive 3D worlds 🌍
0:22

Codex + GPT-Image-2 + Three.js = instant interactive 3D worlds 🌍

Givros

40,225 Aufrufe • vor 4 Monaten

“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 👇
0:40

“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 Aufrufe • vor 3 Monaten

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 improvement ideas I should test next? full prompt below 👇
0:36

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 improvement ideas I should test next? full prompt below 👇

Givros

11,189 Aufrufe • vor 3 Monaten

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.
0:22

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.

Givros

62,031 Aufrufe • vor 2 Monaten

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:
0:36

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 Aufrufe • vor 1 Monat

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.
0:31

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 Aufrufe • vor 4 Monaten

Taerae and his opinion on the Perilla Leaf Discourse 💬Let’s talk about the perilla leaf debate 🐥Perilla leaf? What’s the perilla leaf debate? Like, if I am trying to separate a perilla leaf but it won’t come off… What is that? 🐥Okay, look. There’s me, my partner, and my friend. My friend can’t separate their perilla leaf, so my partner separates it for them. The question is whether that’s okay or not, right? Right, right? 🐥But if I think about it… eat two perilla leaves at once. Why are you trying to eat them one at a time? Isn’t that just perilla leaf flirting? That’s what it is, no? Not a perilla leaf debate? 🐥Now that I’m hearing it, I’m kind of speechless. Why am I getting mad? 😆 🐥Just bring the perilla leaves to your plate, split them up, and eat them… like when we divide up food, like with hotpot. 🐥Honestly, I’m the type who usually doesn’t care about this stuff, but hearing it like this is making me angry That might be besides the point but I like how he used the term partner instead of giving it a gender ☺️
1:27

Taerae and his opinion on the Perilla Leaf Discourse 💬Let’s talk about the perilla leaf debate 🐥Perilla leaf? What’s the perilla leaf debate? Like, if I am trying to separate a perilla leaf but it won’t come off… What is that? 🐥Okay, look. There’s me, my partner, and my friend. My friend can’t separate their perilla leaf, so my partner separates it for them. The question is whether that’s okay or not, right? Right, right? 🐥But if I think about it… eat two perilla leaves at once. Why are you trying to eat them one at a time? Isn’t that just perilla leaf flirting? That’s what it is, no? Not a perilla leaf debate? 🐥Now that I’m hearing it, I’m kind of speechless. Why am I getting mad? 😆 🐥Just bring the perilla leaves to your plate, split them up, and eat them… like when we divide up food, like with hotpot. 🐥Honestly, I’m the type who usually doesn’t care about this stuff, but hearing it like this is making me angry That might be besides the point but I like how he used the term partner instead of giving it a gender ☺️

Just a Rose

131,865 Aufrufe • vor 9 Monaten

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 🔜 gamescom (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:
0:43

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 🔜 gamescom (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

2,083,288 Aufrufe • vor 28 Tagen

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.
0:28

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

26,603 Aufrufe • vor 2 Monaten

I rebuilt the same 2D survival base defense prototype. But this time, I used Agent Sprite Forge of 0xFunky with Codex. Instead of relying on rough placeholder assets, the workflow can generate 2D sprite sheets, maps, transparent PNG frames, props, GIFs and metadata directly from prompts. And honestly, the visual result is already much better. Still a lot to improve, especially the walking animation, but the pipeline is getting closer: prompt → assets → prototype → test → iterate
0:57

I rebuilt the same 2D survival base defense prototype. But this time, I used Agent Sprite Forge of 0xFunky with Codex. Instead of relying on rough placeholder assets, the workflow can generate 2D sprite sheets, maps, transparent PNG frames, props, GIFs and metadata directly from prompts. And honestly, the visual result is already much better. Still a lot to improve, especially the walking animation, but the pipeline is getting closer: prompt → assets → prototype → test → iterate

Givros

13,340 Aufrufe • vor 3 Monaten

Notion is barely usable. Too much crammed into the UI, too many rough edges with the editor, too many half-assed features... What I've always wanted was the experience of iA Writer or Obsidian, but multiplayer. That may be a very bad idea, but I've finally had enough and built it: And I've made it stupidly easy to plug in agents with a single prompt. Now I just tell Codex and Claude Code to write markdown on Classy.
0:42

Notion is barely usable. Too much crammed into the UI, too many rough edges with the editor, too many half-assed features... What I've always wanted was the experience of iA Writer or Obsidian, but multiplayer. That may be a very bad idea, but I've finally had enough and built it: And I've made it stupidly easy to plug in agents with a single prompt. Now I just tell Codex and Claude Code to write markdown on Classy.

Ronan Berder (SF + SG)

98,910 Aufrufe • vor 1 Monat

This first-person shooter was built from a single prompt, using 404-generated 3D assets. On the latest Novelty Search, 404 explains how SN17 is moving from Titan, its open image-to-3D model built with miners, toward 3D assets generated as code that AI agents can edit and use directly in games. That work is part of a broader direction for 404: building world models where AI agents can learn and act. Hosted by const Full episode in the first comment
1:08

This first-person shooter was built from a single prompt, using 404-generated 3D assets. On the latest Novelty Search, 404 explains how SN17 is moving from Titan, its open image-to-3D model built with miners, toward 3D assets generated as code that AI agents can edit and use directly in games. That work is part of a broader direction for 404: building world models where AI agents can learn and act. Hosted by const Full episode in the first comment

Openτensor Foundaτion

14,279 Aufrufe • vor 2 Tagen