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Adapted Matt Shumer 's prompt for a different genre, game engine (Unity) & for a shorter while. Still impressive output. The major thing here is the verification loop it does - the sub-agents critiquing the output is the key. 3D assets were fully generated using the Unity Editor -... show more

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A Closer Look at Alchemist AI v3.5🔎 In v1, one agent handled everything. You’d enter a prompt like “make a snake game” and get a single block of code—one input, one output. v2 introduced multiple agents with specialized roles: prompt refinement, frontend, backend, and review. It brought more structure, but the process was still linear. Each step produced a single output. With v3, a single agent could handle multiple tasks. It generated HTML, CSS, JavaScript, searched for assets, and more—all in one go, while maintaining full context. Now in v3.5, we combine both models. Multiple agents work in parallel, each capable of producing multiple outputs at once. The prompt compiler adapts based on what you're building. A 3D game? It prioritizes game engines, rendering, and mechanics. A website or 2D app? It shifts focus to relevant frameworks and tools. The tool handler can call several services simultaneously, feeding context-aware data into the code generator for real-time execution. From single-output generation to parallel, adaptive workflows. In the next breakdown, we’ll dive into the architecture behind our proprietary engine in v3.5.

A Closer Look at Alchemist AI v3.5🔎 In v1, one agent handled everything. You’d enter a prompt like “make a snake game” and get a single block of code—one input, one output. v2 introduced multiple agents with specialized roles: prompt refinement, frontend, backend, and review. It brought more structure, but the process was still linear. Each step produced a single output. With v3, a single agent could handle multiple tasks. It generated HTML, CSS, JavaScript, searched for assets, and more—all in one go, while maintaining full context. Now in v3.5, we combine both models. Multiple agents work in parallel, each capable of producing multiple outputs at once. The prompt compiler adapts based on what you're building. A 3D game? It prioritizes game engines, rendering, and mechanics. A website or 2D app? It shifts focus to relevant frameworks and tools. The tool handler can call several services simultaneously, feeding context-aware data into the code generator for real-time execution. From single-output generation to parallel, adaptive workflows. In the next breakdown, we’ll dive into the architecture behind our proprietary engine in v3.5.

ALCHEMIST AI 🔮

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Whatever you’re building, a game, an animation, or a world of your own, 404 helps you turn ideas into usable 3D assets. Build beautiful organic worlds using 404-generated assets. Every asset in this reel was generated with 404. All you bring is the prompt. Try it out at:

Whatever you’re building, a game, an animation, or a world of your own, 404 helps you turn ideas into usable 3D assets. Build beautiful organic worlds using 404-generated assets. Every asset in this reel was generated with 404. All you bring is the prompt. Try it out at:

404

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This is wild. Higgsfield Games lets you build and deploy a full multiplayer game from a single prompt. Any genre, 2D or 3D, with characters, props, and worlds generated on the fly. Powered by Claude Fable 5. Huge W for indie devs.

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How To Prompt

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.Tencent Hy HY-World 2.0 has landed,fully OPEN SOURCE ! We kept hearing the same thing: world models look great, but you can't use the output. So we made one you can, real 3D assets you can edit, rearrange, and ship into production. Prompt to engine-ready 3D. For real this time： ✨Directly outputs editable, production-ready 3D assets ✨Seamlessly plugs into existing game pipelines ✨Multimodal input: text, image, videos 🪄Character mode: freely explore streets, buildings, and open worlds with realistic physics, collisions, and no time limits 🔗GitHub:

.Tencent Hy HY-World 2.0 has landed,fully OPEN SOURCE ! We kept hearing the same thing: world models look great, but you can't use the output. So we made one you can, real 3D assets you can edit, rearrange, and ship into production. Prompt to engine-ready 3D. For real this time： ✨Directly outputs editable, production-ready 3D assets ✨Seamlessly plugs into existing game pipelines ✨Multimodal input: text, image, videos 🪄Character mode: freely explore streets, buildings, and open worlds with realistic physics, collisions, and no time limits 🔗GitHub:

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Kimi K3 built a fully procedural browser-based 3D exploration game using Three.js WebGPU and GPU compute. It procedurally generated the environment, while using a 3D asset generation tool to create the rider and horse models, producing an expansive open world with forests, a log-cabin village, snowy mountains, and dynamic weather. External assets used: animated cowboy and horse models and terrain data.

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Grok created a video in Unity of a realistic sky and ocean. I’ll keep pushing it further. All done via the CLI. I didn’t touch the Unity editor myself. For those who don’t know: Unity is a powerful, widely used game engine. It’s the tool behind countless games, from indie hits like Hollow Knight, Cuphead, and Among Us to massive titles like Pokémon GO and Genshin Impact.

Grok created a video in Unity of a realistic sky and ocean. I’ll keep pushing it further. All done via the CLI. I didn’t touch the Unity editor myself. For those who don’t know: Unity is a powerful, widely used game engine. It’s the tool behind countless games, from indie hits like Hollow Knight, Cuphead, and Among Us to massive titles like Pokémon GO and Genshin Impact.

Dan

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A view of how the fake-3d parallax works in my game Well Dweller. The game engine I use is primarily for 2D games (gamemaker), so I instead have background objects lean with the camera position based on their assigned depth

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Kyle Thompson (Wishlist WELL DWELLER on Steam!)

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It feels crazy that this is where the game progress was 2 years ago. The art style and basic movement and behaviors were set up early on, but the lines of code went from 6k then to 65k now. It switched engine from Unity to Godot, and a chunk has been done on assets and skills.

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MAYTCH - Memora Wanderer 🎮

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I'm still playing with 3D storyboards for Seedance 2.0. Even when I ask for a 2D video, using a 3D storyboard often pushes the model toward a 3D look. I haven't tested it extensively yet but there definitely seems to be a bias. So 2D storyboards work better for 2D videos, while 3D storyboards are better suited for 3D or photorealistic outputs. Another thing I found is that my video prompt is already very detailed. If I remove the storyboard section and generate the video without attaching a storyboard, the model still follows the same beats. The main difference is the environment. With a storyboard, it tends to recreate an environment that closely matches the storyboard. I also think storyboards help with certain poses and compositions. If you're curious about the prompts, I've included them below.

I'm still playing with 3D storyboards for Seedance 2.0. Even when I ask for a 2D video, using a 3D storyboard often pushes the model toward a 3D look. I haven't tested it extensively yet but there definitely seems to be a bias. So 2D storyboards work better for 2D videos, while 3D storyboards are better suited for 3D or photorealistic outputs. Another thing I found is that my video prompt is already very detailed. If I remove the storyboard section and generate the video without attaching a storyboard, the model still follows the same beats. The main difference is the environment. With a storyboard, it tends to recreate an environment that closely matches the storyboard. I also think storyboards help with certain poses and compositions. If you're curious about the prompts, I've included them below.

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if you're making 2D pixel art games for #vibejam this is solid. generate a sprite, create an end frame, prompt the animation between them worth checking. you can use with game creator skill design your game with placeholder wireframes using your agent, replace with final sprites later

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My first PhD paper!🎉We learn *diffusion* models for code generation that learn to directly *edit* syntax trees of programs. The result is a system that can incrementally write code, see the execution output, and debug it. 🧵1/n

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Shreyas Kapur

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Grok 4.5 in Grok Build created an FPS game in under an hour. The prompt was simple. I told it to write a game design document and pull free assets from the web. Then I had it create a TODO.md with implementation phases and run a loop to build out each phase. SpaceXAI and Cursor cooked here. This model is insane.

Grok 4.5 in Grok Build created an FPS game in under an hour. The prompt was simple. I told it to write a game design document and pull free assets from the web. Then I had it create a TODO.md with implementation phases and run a loop to build out each phase. SpaceXAI and Cursor cooked here. This model is insane.

tetsuo

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ANTHROPIC JUST DROPPED THE OFFICIAL GUIDE TO PROMPTING OPUS 5 This is the most important prompting guide for anyone using Claude. Bookmark this before you forget. Most people still prompt Opus 5 like older models. That's the mistake. > give the complete task upfront — don't drip-feed instructions. > explicitly ask for shorter responses if you want them. > use low/medium effort by default. increase effort only when needed. > let it finish the entire feature instead of asking for partial implementations. > use subagents intentionally for large codebases, not every task. Opus 5 is at its best when you stop micromanaging it and let it own the work. Read it before writing your next prompt. Claude → Opus 5 → Agentic Execution → Production-Ready Output → Money

ANTHROPIC JUST DROPPED THE OFFICIAL GUIDE TO PROMPTING OPUS 5 This is the most important prompting guide for anyone using Claude. Bookmark this before you forget. Most people still prompt Opus 5 like older models. That's the mistake. > give the complete task upfront — don't drip-feed instructions. > explicitly ask for shorter responses if you want them. > use low/medium effort by default. increase effort only when needed. > let it finish the entire feature instead of asking for partial implementations. > use subagents intentionally for large codebases, not every task. Opus 5 is at its best when you stop micromanaging it and let it own the work. Read it before writing your next prompt. Claude → Opus 5 → Agentic Execution → Production-Ready Output → Money

Rahul

402,709 görüntüleme • 10 gün önce

ANTHROPIC JUST DROPPED THE OFFICIAL GUIDE TO PROMPTING FABLE 5. This is the most important prompting framework I've seen. Bookmark this before you forget. Most people treat Fable 5 like a chatbot. That's the mistake. > don't over-engineer prompts — it degrades output. > use /loop for autonomous multi-step work. > give it the goal, not step-by-step commands. > add a memory file. it learns from past runs. > spin up 50+ subagents for complex tasks. Fable 5 isn't an assistant. it's a consultant that leads the work. Read it before you write another prompt. Claude → Fable 5 → Autonomous Work → Real Output → Money

ANTHROPIC JUST DROPPED THE OFFICIAL GUIDE TO PROMPTING FABLE 5. This is the most important prompting framework I've seen. Bookmark this before you forget. Most people treat Fable 5 like a chatbot. That's the mistake. > don't over-engineer prompts — it degrades output. > use /loop for autonomous multi-step work. > give it the goal, not step-by-step commands. > add a memory file. it learns from past runs. > spin up 50+ subagents for complex tasks. Fable 5 isn't an assistant. it's a consultant that leads the work. Read it before you write another prompt. Claude → Fable 5 → Autonomous Work → Real Output → Money

Kirill

414,157 görüntüleme • 1 ay önce

For Anthropic’s Claude Design, your opening prompt sets the ceiling of the project. If your prompt is a comprehensive brief, it will land somewhere near production-ready Seems obvious, but here is something interesting we observed: one designer wrote: >16 prompts >climbed in specificity over the session >and still finished worse than they started A single "reconsider" prompt at iteration 2 tanked output quality by -0.7 and the session never recovered. 2/3 of every prompt typed across all 5 sessions was refinement or correction. TLDR: Your first move is the whole game. and prompting is an art. What a time to be alive.

For Anthropic’s Claude Design, your opening prompt sets the ceiling of the project. If your prompt is a comprehensive brief, it will land somewhere near production-ready Seems obvious, but here is something interesting we observed: one designer wrote: >16 prompts >climbed in specificity over the session >and still finished worse than they started A single "reconsider" prompt at iteration 2 tanked output quality by -0.7 and the session never recovered. 2/3 of every prompt typed across all 5 sessions was refinement or correction. TLDR: Your first move is the whole game. and prompting is an art. What a time to be alive.

ben

229,081 görüntüleme • 2 ay önce

Fable 5 comes back！It can now build playable game prototypes. I think it is actually a signal for where AI coding is going. Making a game is not just “write some code.” Even a small browser game needs: game loop；character movement；collision logic；scoring system；UI states；physics tuning；visual feedback；bug fixing；playtesting This is why game prototyping is a great test for AI models. A model cannot fake it with a pretty answer. Either the game runs, or it does not. What impressed me about Fable 5 is that it is useful for the messy middle: turning an idea into mechanics, turning mechanics into code, debugging broken interactions, and iterating until the prototype feels playable. But here is the practical part: I would not use the strongest model for every step. For game building, I would split the workflow: 1. Fable 5 for game design + architecture 2. a fast coding model for routine implementation 3. a vision-capable model for screenshot/UI feedback 4. a cheaper model for docs, test cases, and small fixes 5. fallback when latency, cost, or output quality becomes a problem That is the real AI coding stack. Not “one magic model does everything.” More like: the right model, for the right task, at the right cost, with fallback when things break. This is why I’ve been looking at ZenMux ZenMux. ZenMux gives developers one gateway to access multiple leading AI models, with OpenAI / Anthropic / Google Vertex compatible APIs, cost tracking, quality benchmarks, auto-routing, and compensation when output quality, latency, or throughput falls short. If AI can now make games, the next question is not just “which model is strongest?” It is:how do we manage the whole model workflow Fable 5 shows the creative ceiling. ZenMux is closer to the infrastructure layer you need when AI coding becomes a real production habit.

Fable 5 comes back！It can now build playable game prototypes. I think it is actually a signal for where AI coding is going. Making a game is not just “write some code.” Even a small browser game needs: game loop；character movement；collision logic；scoring system；UI states；physics tuning；visual feedback；bug fixing；playtesting This is why game prototyping is a great test for AI models. A model cannot fake it with a pretty answer. Either the game runs, or it does not. What impressed me about Fable 5 is that it is useful for the messy middle: turning an idea into mechanics, turning mechanics into code, debugging broken interactions, and iterating until the prototype feels playable. But here is the practical part: I would not use the strongest model for every step. For game building, I would split the workflow: 1. Fable 5 for game design + architecture 2. a fast coding model for routine implementation 3. a vision-capable model for screenshot/UI feedback 4. a cheaper model for docs, test cases, and small fixes 5. fallback when latency, cost, or output quality becomes a problem That is the real AI coding stack. Not “one magic model does everything.” More like: the right model, for the right task, at the right cost, with fallback when things break. This is why I’ve been looking at ZenMux ZenMux. ZenMux gives developers one gateway to access multiple leading AI models, with OpenAI / Anthropic / Google Vertex compatible APIs, cost tracking, quality benchmarks, auto-routing, and compensation when output quality, latency, or throughput falls short. If AI can now make games, the next question is not just “which model is strongest?” It is:how do we manage the whole model workflow Fable 5 shows the creative ceiling. ZenMux is closer to the infrastructure layer you need when AI coding becomes a real production habit.

Rachel🥥

61,143 görüntüleme • 1 ay önce

Hi everyone! Ariane here to dive into how we tackled the environmental art for our game Dunecrawl. By using 2D hand drawn artwork projected onto 3D meshes, we were able to create a unique aesthetic while also saving us some production headaches.

Hi everyone! Ariane here to dive into how we tackled the environmental art for our game Dunecrawl. By using 2D hand drawn artwork projected onto 3D meshes, we were able to create a unique aesthetic while also saving us some production headaches.

Alientrap Games

124,767 görüntüleme • 7 ay önce

I'm using GPT Image 2 to create a video concept for a weapon selection screen for CHILD OF THE SOIL. When I initially made the short film I always envisioned this as an open world hack and slash video game inspired by my own continent of Africa. As an avid gamer I wanted to just quickly envision different weapons Nyoni can use as she traverses the world. Of course there is no video game here, it's just a rough idea presented purely as a video. The video sequence is just cycling through 4 different images and I used Seedance 2.0 omni to generate the video. I added music in post. Prompt: A static shot shows a video game menu screen. During the sequence it selects different weapons. It selects all 4 different weapon types. Ensure the item in her hand changes to show the selected item. Every time a weapon is selected she poses and analyzes it. The wooden animal next to her is looking around. Do not change any text. No music, only sound fx when the weapons change. No dialogue.

I'm using GPT Image 2 to create a video concept for a weapon selection screen for CHILD OF THE SOIL. When I initially made the short film I always envisioned this as an open world hack and slash video game inspired by my own continent of Africa. As an avid gamer I wanted to just quickly envision different weapons Nyoni can use as she traverses the world. Of course there is no video game here, it's just a rough idea presented purely as a video. The video sequence is just cycling through 4 different images and I used Seedance 2.0 omni to generate the video. I added music in post. Prompt: A static shot shows a video game menu screen. During the sequence it selects different weapons. It selects all 4 different weapon types. Ensure the item in her hand changes to show the selected item. Every time a weapon is selected she poses and analyzes it. The wooden animal next to her is looking around. Do not change any text. No music, only sound fx when the weapons change. No dialogue.

Travis Davids

37,400 görüntüleme • 3 ay önce

Here's how to get 100% consistent product ads from one seedance 2.0 generation. I did it all in a single chat using the Comfy MCP. The real control here comes from calling my existing workflows (shared below) instead of the agent improvising a pipeline. I directed the agent to call my ComfyUI workflow for cinematic product ads. I specified the close-up shot of the sprite animating, the bezel turn flipping the screen, the display changing to the time 10:04. Now for the consistent variations. The driving video does the heavy lifting but you need to get it right → depthanything v3 pass blended with canny edge lines to show the fine detail... it's why the tiny debossed logo is there → the initial sprite outline lived in those edge lines too, and every gen kept inheriting it. claude suggested a sam3 mask over the screen to hide it (s/o the agent) → with the screen masked, the new star sprite is just prompting: one gpt-image-2 still to generate a reference, one extra line in the seedance 2.0 prompt, and it animates oh and the whole process is a claude skill now.

rob - comfyui

20,216 görüntüleme • 27 gün önce