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Someone vibe coded a fully interactive 3D human anatomy app using GPT-5.6 Sol and Codex, and it started from a single design image. GPT Image 2.0 generated the design. Every organ image was generated from it and converted to 3D models through Tripo AI. Codex took those models, a...

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0xMarioNawfal

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56,332 views • 6 days ago •via X (Twitter)

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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.
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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.

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GPT Image 2 + Codex: or how to make Codex not suck at UI. Step 1: Generate a UI image (native in Codex) Step 2: Get Codex to implement the UI based on it Step 3: Get Codex to iterate until it aligns with the image as much as possible Codex is bad at initial UI, but very good at implementing a reference design, so this is your way out - iterate with the image model first and then Codex will do a good job.
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GPT Image 2 + Codex: or how to make Codex not suck at UI. Step 1: Generate a UI image (native in Codex) Step 2: Get Codex to implement the UI based on it Step 3: Get Codex to iterate until it aligns with the image as much as possible Codex is bad at initial UI, but very good at implementing a reference design, so this is your way out - iterate with the image model first and then Codex will do a good job.

Peter Gostev

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New open source project: Easel, a macOS workspace for AI-assisted product design and frontend iteration powered by the Codex SDK. Think of it as "Claude Design for Codex." It brings together a local project library, design-system setup, Codex chat, and a live web preview with a point-and-click inspector. Set up your design system however you like. Import one from Figma , bring your own, or have the agent generate it as a design.md. Then use it to build prototypes and slide decks. Codex-first, with Claude and other AI providers and local models planned for future releases. OpenAI Developers
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New open source project: Easel, a macOS workspace for AI-assisted product design and frontend iteration powered by the Codex SDK. Think of it as "Claude Design for Codex." It brings together a local project library, design-system setup, Codex chat, and a live web preview with a point-and-click inspector. Set up your design system however you like. Import one from Figma , bring your own, or have the agent generate it as a design.md. Then use it to build prototypes and slide decks. Codex-first, with Claude and other AI providers and local models planned for future releases. OpenAI Developers

James Rochabrun

61,199 views • 1 month ago

This is why AI is taking over: • Vibe coded the app with Cursor • Generated ref images on Nano Banana Pro • Image to 3D model on Tripo Result: usable FBX animated models in interactive environments. All in one day. And this is just the beginning 👇
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This is why AI is taking over: • Vibe coded the app with Cursor • Generated ref images on Nano Banana Pro • Image to 3D model on Tripo Result: usable FBX animated models in interactive environments. All in one day. And this is just the beginning 👇

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Demo 2: human + agent design loop inside Codex. Not every workflow needs the agent to drive everything. You design in Open Design. Codex reviews the output. It can inspect files, open pages, test interactions, critique the design, and turn feedback into the next prompt. Design becomes a human + agent feedback loop.
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Demo 2: human + agent design loop inside Codex. Not every workflow needs the agent to drive everything. You design in Open Design. Codex reviews the output. It can inspect files, open pages, test interactions, critique the design, and turn feedback into the next prompt. Design becomes a human + agent feedback loop.

Open Design

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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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Markus J. Buehler

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Still experimenting with hand tracking 🖐️ using a webcam and the dear Carlo. The 3D model was generated from a single image in Omma AI Studio, and I remixed an Octopus demo to take advantage of the physics simulation. Building with AI these days is so much fun. Music also generated from the Studio (Fan Art) #threeJS
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Still experimenting with hand tracking 🖐️ using a webcam and the dear Carlo. The 3D model was generated from a single image in Omma AI Studio, and I remixed an Octopus demo to take advantage of the physics simulation. Building with AI these days is so much fun. Music also generated from the Studio (Fan Art) #threeJS

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I gave Codex one idea: A screen-time app for kids that doesn’t feel like a punishment. Then it helped turn that idea into Peekaboo, a gentle mobile app built around a tiny purple character with a sprout on its head. 🌱 The workflow was wild: 🎨 GPT Image 2.0 shaped the cozy visual world, mascot poses, sticker rewards, and app-store-style mockups 🧠 GPT-5.5 helped design the product logic: timers, breaks, rewards, parent moments, and kid-friendly microcopy 📱 Codex pulled it together into an interactive mobile app prototype with real screens, transitions, animations, and state Prompt below 👇
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I gave Codex one idea: A screen-time app for kids that doesn’t feel like a punishment. Then it helped turn that idea into Peekaboo, a gentle mobile app built around a tiny purple character with a sprout on its head. 🌱 The workflow was wild: 🎨 GPT Image 2.0 shaped the cozy visual world, mascot poses, sticker rewards, and app-store-style mockups 🧠 GPT-5.5 helped design the product logic: timers, breaks, rewards, parent moments, and kid-friendly microcopy 📱 Codex pulled it together into an interactive mobile app prototype with real screens, transitions, animations, and state Prompt below 👇

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FIRST TEST Seedance 2.0! From my initial tests, this is one of the more impressive AI video models I’ve tried so far. Dynamic motion feels fluid, prompt adherence is solid, and the efficiency really stood out, very little iteration needed. Everything you see here was generated using just one reference image + one prompt. I also tested a 3×3 image grid with no prompt at all, and the results stayed surprisingly consistent. Another highlight: sound design is already included, and it actually works really well. Tested via BytePlus 👉 More detail and access link to try Seedance 2.0 is in the comments.
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Seedance 2.0 - Advanced Workflows Series 10. Fixing AI Artifacts with Video Editing Use the multi-reference Vid2Vid capabilities of Seedance 2.0 to fix small defects and artifacts in AI-generated shots. Take a screenshot of the video frame containing the defect, upload it to GPT Image 2, and modify the image so the defect disappears. Flawed Video + Corrected Image: Seedance 2.0 will regenerate the video without the defect. GPT Image 2 and Seedance 2.0 are now available on insMind (link at the end of the thread). Workflow + Prompts 👇
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Seedance 2.0 - Advanced Workflows Series 10. Fixing AI Artifacts with Video Editing Use the multi-reference Vid2Vid capabilities of Seedance 2.0 to fix small defects and artifacts in AI-generated shots. Take a screenshot of the video frame containing the defect, upload it to GPT Image 2, and modify the image so the defect disappears. Flawed Video + Corrected Image: Seedance 2.0 will regenerate the video without the defect. GPT Image 2 and Seedance 2.0 are now available on insMind (link at the end of the thread). Workflow + Prompts 👇

VoxelPlot

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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.
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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.

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Claude Fable 5 has impressive spatial reasoning capabilities that are immediately relevant for engineering and design: In this example I gave Claude Fable 5 a single photo of a hierarchical mesh torus (image generated using a text-to-image model); and in one shot, no iteration, it built a full interactive 3D simulation: ~1,400 nodes & 4,400 fibers, realistic mass–spring physics you can grab, compress, twist… plus strain-based sonification so you can 'hear' the structure vibrate. It inferred the complete 3D topology from a partial 2D view. ⤵️
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Claude Fable 5 has impressive spatial reasoning capabilities that are immediately relevant for engineering and design: In this example I gave Claude Fable 5 a single photo of a hierarchical mesh torus (image generated using a text-to-image model); and in one shot, no iteration, it built a full interactive 3D simulation: ~1,400 nodes & 4,400 fibers, realistic mass–spring physics you can grab, compress, twist… plus strain-based sonification so you can 'hear' the structure vibrate. It inferred the complete 3D topology from a partial 2D view. ⤵️

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Introducing "Mine Like A Chad" an entirely AI generated commercial for Tari Every single shot, every sound effect, the music, even the vfx are all AI generated. Breakdown of tools I used: Midjourney & Chat GPT - Image gen and Image editing Topaz Gigapixel - Image Upscale Kling, Luma & Higgsfield - Image to Video and VFX Eleven Labs - Sound Effects Udio - Music generation Davinci Resolve - Editing and Color Grade Huge shoutout to @RealJonahBlake and his Real agency for being amazing partners on this project and helping me out so much.

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11,343 views • 1 year ago

All of these 3D objects were generated entirely via AI (each from a single image) and the results are reaching exceptional levels of detail and fidelity. • Voxel Resolution: 1536^3 • Texture Resolution: 4096*4096 Pretty incredible stuff.
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All of these 3D objects were generated entirely via AI (each from a single image) and the results are reaching exceptional levels of detail and fidelity. • Voxel Resolution: 1536^3 • Texture Resolution: 4096*4096 Pretty incredible stuff.

Emm | scenario.com

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Gemini 3.5 Flash can process complex visual data and translate it into functional, interactive code. Watch Gemini analyze lighting from a reference image, and build an interactive 3D visualizer to preview the setup.
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Gemini 3.5 Flash can process complex visual data and translate it into functional, interactive code. Watch Gemini analyze lighting from a reference image, and build an interactive 3D visualizer to preview the setup.

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This is our second head-to-head test between Kling 3.0 and Seedance 2.0. This time, we pushed both models further, including dialogue-driven Sci-fi comedy shots and even a singing scene. Every single shot was generated using: • The exact same base image • The exact same prompt • No re-generate • No second attempt • No prompt refinements. What you see is the pure first output from each model under identical conditions. So… which one performs better? Seedance 2.0 generated by Ilham Setyawan on BytePlus
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This is our second head-to-head test between Kling 3.0 and Seedance 2.0. This time, we pushed both models further, including dialogue-driven Sci-fi comedy shots and even a singing scene. Every single shot was generated using: • The exact same base image • The exact same prompt • No re-generate • No second attempt • No prompt refinements. What you see is the pure first output from each model under identical conditions. So… which one performs better? Seedance 2.0 generated by Ilham Setyawan on BytePlus

Dinda Prasetyo

196,557 views • 5 months ago

Another WTF moment. Using Codex as a fully custom game engine With the newly discovered and *insane* img2threejs skill 1) GPT imageGen a 3D item you want 2) ask GPT 5.6 Sol to use img2threejs 3) my harness brings it into the game automatically Just watch how good this is
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Another WTF moment. Using Codex as a fully custom game engine With the newly discovered and *insane* img2threejs skill 1) GPT imageGen a 3D item you want 2) ask GPT 5.6 Sol to use img2threejs 3) my harness brings it into the game automatically Just watch how good this is

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266,691 views • 17 days ago