Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

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.... show more

Givros

2,760 subscribers

26,291 views • 1 month ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

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.

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

61,514 views • 24 days ago

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.

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

83,052 views • 2 months ago

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.

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

70,115 views • 2 months ago

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

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

60,609 views • 2 months ago

Pretty incredible You have to try the new '/goal' feature in Codex It worked for over an hour and built me an entire complex extraction shooter video game You give it a goal, then it works endlessly until the goal is complete. It's like a Ralph loop. Can run for days If you enable the image gen skill before you run the goal, it will even generate ALL the assets for your game autonomously. I didn't manually create ANY of the assets you see in the video Recommendations: enable the image gen skill, put on skip all permissions, and give the prompt as much detail as you can. It will accomplish ALL of it This has to be the sickest way to build games/ long running app tasks ever

Pretty incredible You have to try the new '/goal' feature in Codex It worked for over an hour and built me an entire complex extraction shooter video game You give it a goal, then it works endlessly until the goal is complete. It's like a Ralph loop. Can run for days If you enable the image gen skill before you run the goal, it will even generate ALL the assets for your game autonomously. I didn't manually create ANY of the assets you see in the video Recommendations: enable the image gen skill, put on skip all permissions, and give the prompt as much detail as you can. It will accomplish ALL of it This has to be the sickest way to build games/ long running app tasks ever

Alex Finn

303,162 views • 2 months ago

I ASKED CLAUDE FABLE TO MAKE ME A HORROR BACKROOMS GAME AND HOLY SHIT 🫪 IT MEGA COOKED WITH A VERY SIMPLE PROMPT AGI IS HERE AND IT HAS MASTERED THREE.JS LMAO Full 5 minute clip contains a quick walk through of the full prompt + raw gameplay!

I ASKED CLAUDE FABLE TO MAKE ME A HORROR BACKROOMS GAME AND HOLY SHIT 🫪 IT MEGA COOKED WITH A VERY SIMPLE PROMPT AGI IS HERE AND IT HAS MASTERED THREE.JS LMAO Full 5 minute clip contains a quick walk through of the full prompt + raw gameplay!

BOOTOSHI 👑

320,968 views • 1 month ago

Let’s make an AI photo generator app with Cursor in 7min. Just give Cursor Composer a prompt file and the AI will write 100% of the code. AI is making it so that *anyone* can start building software today. Full prompt below.

Let’s make an AI photo generator app with Cursor in 7min. Just give Cursor Composer a prompt file and the AI will write 100% of the code. AI is making it so that anyone can start building software today. Full prompt below.

Mckay Wrigley

426,678 views • 1 year ago

The 6174 test! Grok wins! I have 1000s of unique tests I use for AI that few in AI use. I will open source this one. Prompt this and stand back (it burns GPUs something fierce): Prompt: “Explain in detail the 6174 system where you pick 4 numbers arrange them from highest to lowest than on another line from lowest to highest than you subtract, use that result and do the same system again, and by the 4th iteration you will always have the number 6174. Please explain why it works” Few AI platforms can handle this prompt and get it right. I have some variations that will still produce errors on the best AI platforms and cause a loop (it crashed a well known AI platform a few months back, I got a call!). This is not the most complex test I have. I feel strongly that passing the known benchmarks as a measure of an AI’s power is only a small part of if an AI is “better”. Thus I must thank Elon Musk and the entire xAI team for doing the absolute best and astonishing output. Grok it:

The 6174 test! Grok wins! I have 1000s of unique tests I use for AI that few in AI use. I will open source this one. Prompt this and stand back (it burns GPUs something fierce): Prompt: “Explain in detail the 6174 system where you pick 4 numbers arrange them from highest to lowest than on another line from lowest to highest than you subtract, use that result and do the same system again, and by the 4th iteration you will always have the number 6174. Please explain why it works” Few AI platforms can handle this prompt and get it right. I have some variations that will still produce errors on the best AI platforms and cause a loop (it crashed a well known AI platform a few months back, I got a call!). This is not the most complex test I have. I feel strongly that passing the known benchmarks as a measure of an AI’s power is only a small part of if an AI is “better”. Thus I must thank Elon Musk and the entire xAI team for doing the absolute best and astonishing output. Grok it:

Brian Roemmele

63,704 views • 1 year ago

THIS GUY TURNED 5 PROMPTING TIPS INTO A FREE AI CEO CHALLENGE The useful part is treating every prompt like you are briefing a very fast employee who has zero context. Most people open ChatGPT and type a wish. Pros give it a job. Try this instead: 1. Give it a role Not “help me with marketing.” Say: “Act as a B2B SaaS growth operator reviewing a landing page.” 2. Give it the real context Who is the customer? What are they buying? What have you already tried? What does success look like? 3. Give it constraints Length, tone, format, audience, banned words, examples to copy, examples to avoid. A vague prompt gets a vague answer. A constrained prompt gets something you can edit. 4. Ask for options before answers “Give me 5 angles, rank them, then explain the tradeoff.” This turns AI from an autocomplete box into a thinking partner. 5. Force it to show assumptions Before it writes, ask: “What are you assuming, what info is missing, and what would change your answer?” That one line saves a lot of fake confidence. Dan Martell’s video works because the promise is simple: 5 prompting habits that make AI feel less random. The reusable move is even simpler: Stop prompting for outputs. Start prompting for decisions. Bad: “Write me a post.” Better: “Here is the source, here is the reader, here is the angle, give me 3 hooks, choose the strongest, then draft in this style.” That is the difference between getting content-shaped noise and getting work you can actually ship. Caveat: prompts do not fix weak taste, bad data, or unclear strategy. But they do expose those problems faster. If your AI answers are generic, your prompt probably has no job, no context, no constraints, and no standard for what “good” means.

THIS GUY TURNED 5 PROMPTING TIPS INTO A FREE AI CEO CHALLENGE The useful part is treating every prompt like you are briefing a very fast employee who has zero context. Most people open ChatGPT and type a wish. Pros give it a job. Try this instead: 1. Give it a role Not “help me with marketing.” Say: “Act as a B2B SaaS growth operator reviewing a landing page.” 2. Give it the real context Who is the customer? What are they buying? What have you already tried? What does success look like? 3. Give it constraints Length, tone, format, audience, banned words, examples to copy, examples to avoid. A vague prompt gets a vague answer. A constrained prompt gets something you can edit. 4. Ask for options before answers “Give me 5 angles, rank them, then explain the tradeoff.” This turns AI from an autocomplete box into a thinking partner. 5. Force it to show assumptions Before it writes, ask: “What are you assuming, what info is missing, and what would change your answer?” That one line saves a lot of fake confidence. Dan Martell’s video works because the promise is simple: 5 prompting habits that make AI feel less random. The reusable move is even simpler: Stop prompting for outputs. Start prompting for decisions. Bad: “Write me a post.” Better: “Here is the source, here is the reader, here is the angle, give me 3 hooks, choose the strongest, then draft in this style.” That is the difference between getting content-shaped noise and getting work you can actually ship. Caveat: prompts do not fix weak taste, bad data, or unclear strategy. But they do expose those problems faster. If your AI answers are generic, your prompt probably has no job, no context, no constraints, and no standard for what “good” means.

kocer

25,573 views • 18 days ago

One of the most underrated features of Slashy (YC S25) is the @ prompt feature. All you need to do is save a prompt, and then @ it to use it whenever you need. Whether it's sending calendar events, performing dilligence, or writing a LinkedIn post. If you have a prompt you repeatedly put into Slashy, you can now automate it with @ prompt

One of the most underrated features of Slashy (YC S25) is the @ prompt feature. All you need to do is save a prompt, and then @ it to use it whenever you need. Whether it's sending calendar events, performing dilligence, or writing a LinkedIn post. If you have a prompt you repeatedly put into Slashy, you can now automate it with @ prompt

Pranjali Awasthi

15,471 views • 10 months ago

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.👇

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

11,780 views • 2 months ago

The big change in casual AI coding is that you can ask for stuff & you usually get it with no big errors. When you find anything wrong it is often corrected one-shot You can build a lot of stuff by asking: here is a game where you control only the org chart of a fantasy kingdom

The big change in casual AI coding is that you can ask for stuff & you usually get it with no big errors. When you find anything wrong it is often corrected one-shot You can build a lot of stuff by asking: here is a game where you control only the org chart of a fantasy kingdom

Ethan Mollick

46,033 views • 5 months ago

Jon Rahm on the LIV format: “Yeah, obviously there’s been a bit of a change. There was a lot more about LIV Golf that was attractive to me, right. Yeah, maybe the format was a set back in the past, but at the same time there’s a lot of positives to it as well. And one of the things that a lot of players kept mentioning is you don’t have a wave weather difference, where you can simply get unlucky and you’re out of contention for that tournament. It’s part of the game, I get it, but it’s something you don’t have to deal with anymore. So that part is a very nice aspect. The team is what really made it for me. Being able to be part of a team, represent a team, play for my teammates, with my teammates and against my teammates, is something that to me that has always been very, very special. When you get a victory to share, it’s always better to have a team to share it with. So it’s what was the most attractive part and when we started discussions it gets to a point where even though I’m ambitious, I’m not greedy. So there’s a give and take and the format is something that I can easily overlook, and I’m pretty sure I can learn to enjoy it, I’ll just have to get used to it, but I’m pretty sure I’ll learn to enjoy it. To be honest, the more I started thinking about it, the more I started thinking about my college days that were 3 day tournaments, 54 holes, and everybody warmed up together for the most part. So it shouldn’t be an environment I’m unfamiliar with.” This is from the LIV podcast called “Fairway to Heaven”. Full link:

Jon Rahm on the LIV format: “Yeah, obviously there’s been a bit of a change. There was a lot more about LIV Golf that was attractive to me, right. Yeah, maybe the format was a set back in the past, but at the same time there’s a lot of positives to it as well. And one of the things that a lot of players kept mentioning is you don’t have a wave weather difference, where you can simply get unlucky and you’re out of contention for that tournament. It’s part of the game, I get it, but it’s something you don’t have to deal with anymore. So that part is a very nice aspect. The team is what really made it for me. Being able to be part of a team, represent a team, play for my teammates, with my teammates and against my teammates, is something that to me that has always been very, very special. When you get a victory to share, it’s always better to have a team to share it with. So it’s what was the most attractive part and when we started discussions it gets to a point where even though I’m ambitious, I’m not greedy. So there’s a give and take and the format is something that I can easily overlook, and I’m pretty sure I can learn to enjoy it, I’ll just have to get used to it, but I’m pretty sure I’ll learn to enjoy it. To be honest, the more I started thinking about it, the more I started thinking about my college days that were 3 day tournaments, 54 holes, and everybody warmed up together for the most part. So it shouldn’t be an environment I’m unfamiliar with.” This is from the LIV podcast called “Fairway to Heaven”. Full link:

Flushing It

562,892 views • 2 years ago

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.

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

32,140 views • 2 months ago

This is one of the wildest things I have built with AI so far 😱 Asked Claude Fable 5 to create a fully interactive 3D crime investigation board using Three.js and it did it in ONE Prompt. It took one more prompt to give it a polished UI inspired by a reference design that I created with GPT Image. What surprised me most was not how it looked. It was how it worked. Fable built a complete Verlet rope physics system with 46 particles in every thread. It handled gravity, damping, distance constraints and all other features of file upload, text and everything. The threads/ropes even lift naturally with pinned evidence instead of clipping through it. I never asked it to implement any of that. I only described the experience I wanted. Maybe that's how we should work with AI. Instead of writing long long specs, we should explain what we want as an experience and let AI do its thing. Anyway, every day Fable 5 raises the bar for what I think AI can build. More to this Live: Code:

This is one of the wildest things I have built with AI so far 😱 Asked Claude Fable 5 to create a fully interactive 3D crime investigation board using Three.js and it did it in ONE Prompt. It took one more prompt to give it a polished UI inspired by a reference design that I created with GPT Image. What surprised me most was not how it looked. It was how it worked. Fable built a complete Verlet rope physics system with 46 particles in every thread. It handled gravity, damping, distance constraints and all other features of file upload, text and everything. The threads/ropes even lift naturally with pinned evidence instead of clipping through it. I never asked it to implement any of that. I only described the experience I wanted. Maybe that's how we should work with AI. Instead of writing long long specs, we should explain what we want as an experience and let AI do its thing. Anyway, every day Fable 5 raises the bar for what I think AI can build. More to this Live: Code:

The Bugged Dev

66,836 views • 3 days ago

Your AI employees are here! MetaGPT not only thinks, but it assigns you a whole AI team of product manager, architecture, engineer, etc based on your prompt. It provides a universal AI chat interface you can use to build software, write blogs, create documents, generate videos, etc. Why I like it and you will too: • everything at one chat interface • chat with each AI agent • Supabase integration • deploy with one click The MetaGPT team is kind enough to give me early access and collaborate with me for this post. In the video below, I am building a quick web application that converts any image to ghibli-style image.

Your AI employees are here! MetaGPT not only thinks, but it assigns you a whole AI team of product manager, architecture, engineer, etc based on your prompt. It provides a universal AI chat interface you can use to build software, write blogs, create documents, generate videos, etc. Why I like it and you will too: • everything at one chat interface • chat with each AI agent • Supabase integration • deploy with one click The MetaGPT team is kind enough to give me early access and collaborate with me for this post. In the video below, I am building a quick web application that converts any image to ghibli-style image.

Pratham

54,106 views • 1 year ago

I connected Pika MCP to Claude and made a full UGC ad video just by chatting normally. This is the kind of AI workflow that actually feels useful. From one idea to a ready ad in minutes. You can now give Claude a face, voice, name, and personality. It can also create podcasts, UGC ads, explainers, and more from a single prompt. Pika-fy your Claude Here’s how I did it :

I connected Pika MCP to Claude and made a full UGC ad video just by chatting normally. This is the kind of AI workflow that actually feels useful. From one idea to a ready ad in minutes. You can now give Claude a face, voice, name, and personality. It can also create podcasts, UGC ads, explainers, and more from a single prompt. Pika-fy your Claude Here’s how I did it :

aditii

165,408 views • 2 months ago

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 👇

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

11,057 views • 2 months ago

After analyzing 100+ OpenClaw mission controls, I cracked the code on building them. I built this one in one-prompt with Lovable. The full prompt for this is below. Give it a try in Lovable↓ I recorded an entire video on how to connect Lovable + OpenClaw which I'll include as well. PS. I'd usually gate-keep this but if you find it valuable - I'd just ask you show some love in the comments + follow.

After analyzing 100+ OpenClaw mission controls, I cracked the code on building them. I built this one in one-prompt with Lovable. The full prompt for this is below. Give it a try in Lovable↓ I recorded an entire video on how to connect Lovable + OpenClaw which I'll include as well. PS. I'd usually gate-keep this but if you find it valuable - I'd just ask you show some love in the comments + follow.

Jacob Klug

15,548 views • 4 months ago

What if any post on 𝕏 could become a playable game? I built it. 𝕏 Games takes any post on this platform and turns it into a real, playable canvas game — generated in real-time by Grok and Grok Imagine. Pick a post. Any post. Grok reads it, designs a game around it, generates the art, and builds the whole thing in seconds. Leaderboards, score sharing, all native to X. Here's the thing that still blows my mind — I didn't write a single line of code. The entire app was built by AI through Pokee AI and PokeeClaw. The games are generated live by Grok. Every pixel, every mechanic, every asset. All AI. This is what's possible right now. Not in some future demo. Right now, today, on 𝕏. I built this because I wanted to show what Grok can really do when you push it beyond chatbot Q&A. It can create. It can build entire interactive experiences from a tweet. Hey xAI — if you ever want someone to build this for real, into the platform... I'm right here. 👀 Try it yourself: 🎮 walkthrough below ⬇️

What if any post on 𝕏 could become a playable game? I built it. 𝕏 Games takes any post on this platform and turns it into a real, playable canvas game — generated in real-time by Grok and Grok Imagine. Pick a post. Any post. Grok reads it, designs a game around it, generates the art, and builds the whole thing in seconds. Leaderboards, score sharing, all native to X. Here's the thing that still blows my mind — I didn't write a single line of code. The entire app was built by AI through Pokee AI and PokeeClaw. The games are generated live by Grok. Every pixel, every mechanic, every asset. All AI. This is what's possible right now. Not in some future demo. Right now, today, on 𝕏. I built this because I wanted to show what Grok can really do when you push it beyond chatbot Q&A. It can create. It can build entire interactive experiences from a tweet. Hey xAI — if you ever want someone to build this for real, into the platform... I'm right here. 👀 Try it yourself: 🎮 walkthrough below ⬇️

Mike

39,477 views • 3 months ago