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Defi + Content Creator + Entertainment + Claude News + AI

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You don't need Claude Fable 5 or GPT-5.6 I built with Claude 👇 Drifting particles + pulsing sound rings, the techniques: 1. Flow field = each particle reads a Simplex noise field for which way to drift, organic not random. 2. GPGPU = thousands of particles updated on the GPU in a texture, 60fps on a phone. 3. Audio-reactive shader = the rings pulse to the track frequency data. 4. Selective bloom = only the bright parts glow. Lenis + GSAP + Three.js. Save this 🔊

You don't need Claude Fable 5 or GPT-5.6 I built with Claude 👇 Drifting particles + pulsing sound rings, the techniques: 1. Flow field = each particle reads a Simplex noise field for which way to drift, organic not random. 2. GPGPU = thousands of particles updated on the GPU in a texture, 60fps on a phone. 3. Audio-reactive shader = the rings pulse to the track frequency data. 4. Selective bloom = only the bright parts glow. Lenis + GSAP + Three.js. Save this 🔊

462,463 Aufrufe

How I built with Claude 👇 1. Prompt: "Build a storytelling website where each scroll section reveals a new chapter with fluid color transitions" 2. Use Three.js for the painted texture background that reacts to cursor 3. Prompt: "Add GSAP ScrollTrigger so each section animates in as a cinematic scene" 4. Use Lenis.js for that buttery smooth scroll that premium sites have

How I built with Claude 👇 1. Prompt: "Build a storytelling website where each scroll section reveals a new chapter with fluid color transitions" 2. Use Three.js for the painted texture background that reacts to cursor 3. Prompt: "Add GSAP ScrollTrigger so each section animates in as a cinematic scene" 4. Use Lenis.js for that buttery smooth scroll that premium sites have

348,094 Aufrufe

I created this using Claude + 3D animation: 1. Ask Claude for a scroll-based cinematic animation pla 2. Generate prompts for depth, parallax, and camera movement 3. Install Three.js + GSAP + ScrollTrigger 4. Use scroll to control zoom, scale, and scene transitions 5. Add layered images for 3D depth illusion 6. Apply smooth easing, lighting, and shadows for realism 7. Refine until it feels like one continuous scene Save this

I created this using Claude + 3D animation: 1. Ask Claude for a scroll-based cinematic animation pla 2. Generate prompts for depth, parallax, and camera movement 3. Install Three.js + GSAP + ScrollTrigger 4. Use scroll to control zoom, scale, and scene transitions 5. Add layered images for 3D depth illusion 6. Apply smooth easing, lighting, and shadows for realism 7. Refine until it feels like one continuous scene Save this

395,598 Aufrufe

How I built an Anime.js-style site with Claude 👇 • Ask Claude to plan a minimal interactive website with smooth motion • Install Anime.js → "npm i animejs" • Use Claude to generate timelines, staggered text, and hover animations • Add smooth SVG, scroll, and cursor interactions with Anime.js • Keep UI minimal so motion becomes the focus • Use easing + timing to make animations feel fluid and premium Save this 🚀

How I built an Anime.js-style site with Claude 👇 • Ask Claude to plan a minimal interactive website with smooth motion • Install Anime.js → "npm i animejs" • Use Claude to generate timelines, staggered text, and hover animations • Add smooth SVG, scroll, and cursor interactions with Anime.js • Keep UI minimal so motion becomes the focus • Use easing + timing to make animations feel fluid and premium Save this 🚀

363,145 Aufrufe

How I built with Claude 👇 1. Prompt: "Build a storytelling website where each scroll section reveals a new chapter with fluid color transitions" 2. Use Three.js for the painted texture background that reacts to cursor 3. Prompt: "Add GSAP ScrollTrigger so each section animates in as a cinematic scene" 4. Use Lenis.js for that buttery smooth scroll that premium sites have

How I built with Claude 👇 1. Prompt: "Build a storytelling website where each scroll section reveals a new chapter with fluid color transitions" 2. Use Three.js for the painted texture background that reacts to cursor 3. Prompt: "Add GSAP ScrollTrigger so each section animates in as a cinematic scene" 4. Use Lenis.js for that buttery smooth scroll that premium sites have

327,927 Aufrufe

167 tok/s on a single RTX 4090. FreeToken just pushed Qwen3.6-35B-A3B NVFP4 into ridiculous territory. → RTX 4090 24GB → 35B total parameters → ~3B active per token → NVFP4 → 167 tok/s decode → 23.55GB peak VRAM → No speculative decoding → No MTP → No draft model That last part is what makes this interesting. The speed isn’t coming from guessing future tokens. FreeToken is exploiting the MoE architecture directly, keeping the active experts on the GPU while using bandwidth-aware execution for the rest. A 35B model with only ~3B active parameters running at 167 tok/s on a consumer 4090 is exactly why MoE models are becoming so compelling for local AI.

167 tok/s on a single RTX 4090. FreeToken just pushed Qwen3.6-35B-A3B NVFP4 into ridiculous territory. → RTX 4090 24GB → 35B total parameters → ~3B active per token → NVFP4 → 167 tok/s decode → 23.55GB peak VRAM → No speculative decoding → No MTP → No draft model That last part is what makes this interesting. The speed isn’t coming from guessing future tokens. FreeToken is exploiting the MoE architecture directly, keeping the active experts on the GPU while using bandwidth-aware execution for the rest. A 35B model with only ~3B active parameters running at 167 tok/s on a consumer 4090 is exactly why MoE models are becoming so compelling for local AI.

33,058 Aufrufe

How I build with Claude Fable 5 1. Three.js = rotate and explore any product in 3D in the browser 2. Color swatches = swap a material value to change the model live 3. CSS radial-gradient = premium spotlight glow zero images 4. GSAP ScrollTrigger = scroll turns one screen into a full story 5. Monospace fonts = signal precision and luxury instantly 6. AudioContext = ambient sound toggle in one call Save this

How I build with Claude Fable 5 1. Three.js = rotate and explore any product in 3D in the browser 2. Color swatches = swap a material value to change the model live 3. CSS radial-gradient = premium spotlight glow zero images 4. GSAP ScrollTrigger = scroll turns one screen into a full story 5. Monospace fonts = signal precision and luxury instantly 6. AudioContext = ambient sound toggle in one call Save this

149,179 Aufrufe

How i build with Claude👇 Three.js = 360 rotatable product zero plugin needed WebGL PointLight = UVC glow reacts to scroll position CSS scroll-snap = buttery infinite horizontal product scroll GSAP ScrollTrigger = product pins while copy scrolls alongside Lottie via lottie-web = After Effects animations play in browser Save this

How i build with Claude👇 Three.js = 360 rotatable product zero plugin needed WebGL PointLight = UVC glow reacts to scroll position CSS scroll-snap = buttery infinite horizontal product scroll GSAP ScrollTrigger = product pins while copy scrolls alongside Lottie via lottie-web = After Effects animations play in browser Save this

168,621 Aufrufe

How I use Claude to build luxury real estate websites 👇 • Create a cinematic luxury real estate experience • Use fullscreen hero sections + smooth scroll • Add layered visuals + parallax for depth • Keep typography minimal and premium • Use GSAP + ScrollTrigger + Lenis • Add fades, reveals, and image expansion on scroll • Include subtle hover + cursor interactions • Keep motion slow, smooth, Save this 🚀

How I use Claude to build luxury real estate websites 👇 • Create a cinematic luxury real estate experience • Use fullscreen hero sections + smooth scroll • Add layered visuals + parallax for depth • Keep typography minimal and premium • Use GSAP + ScrollTrigger + Lenis • Add fades, reveals, and image expansion on scroll • Include subtle hover + cursor interactions • Keep motion slow, smooth, Save this 🚀

137,959 Aufrufe

How I build with Claude Fable 5 1. CSS position sticky = how a product follows you down the page 2. Monospace fonts = instantly signal raw and authentic 3. CSS object-fit cover = full bleed photography fills any screen 4. GSAP ScrollTrigger = pins product while background scrolls position fixed + transform = floating centered label 5. CSS grid + z-index = editorial depth flat sites lack Save this 🏔️

How I build with Claude Fable 5 1. CSS position sticky = how a product follows you down the page 2. Monospace fonts = instantly signal raw and authentic 3. CSS object-fit cover = full bleed photography fills any screen 4. GSAP ScrollTrigger = pins product while background scrolls position fixed + transform = floating centered label 5. CSS grid + z-index = editorial depth flat sites lack Save this 🏔️

119,967 Aufrufe

How I built with Claude 👇 1. CSS linear-gradient animated backgrounds create that deep blue oceanic atmosphere with zero images 2. Intersection Observer API staggers each section headline in as users scroll through the content 3.Use a fixed sticky nav with backdrop-filter blur signals authority and keeps users oriented 4. Save this if you want a corporate site that makes billion dollar clients take you seriously 🌐

How I built with Claude 👇 1. CSS linear-gradient animated backgrounds create that deep blue oceanic atmosphere with zero images 2. Intersection Observer API staggers each section headline in as users scroll through the content 3.Use a fixed sticky nav with backdrop-filter blur signals authority and keeps users oriented 4. Save this if you want a corporate site that makes billion dollar clients take you seriously 🌐

138,336 Aufrufe

Qwen3.8-Flash-Next is starting to feel like the local model Opus fans have been waiting for. Someone ran the NVFP4 176B-class Flash-Next on 2× DGX Sparks, and the results are wild. Real measured scaling → C1: 44.2 tok/s → C2: 64.6 tok/s → C4: 86.8 tok/s aggregate The per-stream speed drops with concurrency, but total throughput keeps climbing. Long-context behavior was even more impressive: → 5K: needle retrieved → 21K: needle retrieved → 84K: needle retrieved → 167K: needle retrieved → 262K: prefill succeeded, but the window was saturated That 167K retrieval test is the one I care about. Long agent runs are where models usually start losing the plot. Flash-Next didn’t. It also held up surprisingly well on physics-heavy reasoning, artifact generation, research workflows, evidence checking, and long-horizon planning. The personality is interesting too. DeepSeek V4 Flash feels like the dependable workhorse. GLM-5.2 feels like the problem-solving machine. Qwen3.8-Flash-Next feels more insightful. It has that rare ability to understand what you’re actually asking rather than just following the surface pattern. The main weakness I’ve noticed is instruction following. It can occasionally drift between prose turns where DeepSeek and GLM stay tighter. And this is why the 256GB M5 Ultra conversation gets interesting. If Apple can pair that huge unified-memory pool with enough bandwidth, this model class becomes genuinely practical for long-running local agents. We’re talking about frontier-class reasoning on hardware sitting on a desk.

Qwen3.8-Flash-Next is starting to feel like the local model Opus fans have been waiting for. Someone ran the NVFP4 176B-class Flash-Next on 2× DGX Sparks, and the results are wild. Real measured scaling → C1: 44.2 tok/s → C2: 64.6 tok/s → C4: 86.8 tok/s aggregate The per-stream speed drops with concurrency, but total throughput keeps climbing. Long-context behavior was even more impressive: → 5K: needle retrieved → 21K: needle retrieved → 84K: needle retrieved → 167K: needle retrieved → 262K: prefill succeeded, but the window was saturated That 167K retrieval test is the one I care about. Long agent runs are where models usually start losing the plot. Flash-Next didn’t. It also held up surprisingly well on physics-heavy reasoning, artifact generation, research workflows, evidence checking, and long-horizon planning. The personality is interesting too. DeepSeek V4 Flash feels like the dependable workhorse. GLM-5.2 feels like the problem-solving machine. Qwen3.8-Flash-Next feels more insightful. It has that rare ability to understand what you’re actually asking rather than just following the surface pattern. The main weakness I’ve noticed is instruction following. It can occasionally drift between prose turns where DeepSeek and GLM stay tighter. And this is why the 256GB M5 Ultra conversation gets interesting. If Apple can pair that huge unified-memory pool with enough bandwidth, this model class becomes genuinely practical for long-running local agents. We’re talking about frontier-class reasoning on hardware sitting on a desk.

20,217 Aufrufe

How i build with Claude + Higsfield 🐉 Step 1: generate all scenes in Higsfield as MP4 Step 2: paste URLs into Claude, say embed as scroll-triggered WebGL textures Step 3: Claude writes Three.js, Higsfield supplies the visuals Step 4: tell Claude trigger each video at 25% 50% 75% scroll Step 5: ask Claude to wrap hero video in autoplay muted loop Step 6: Higsfield does the art, Claude does the code Save this

How i build with Claude + Higsfield 🐉 Step 1: generate all scenes in Higsfield as MP4 Step 2: paste URLs into Claude, say embed as scroll-triggered WebGL textures Step 3: Claude writes Three.js, Higsfield supplies the visuals Step 4: tell Claude trigger each video at 25% 50% 75% scroll Step 5: ask Claude to wrap hero video in autoplay muted loop Step 6: Higsfield does the art, Claude does the code Save this

83,597 Aufrufe

How I use Claude for 2D website animations 👇 1. Ask Claude to create CSS keyframes for floating or bounce effects 2. Use Claude to write fade-up animations on scroll 3. Ask Claude for parallax code for backgrounds 4. Generate hover effects like glow, scale, rotate buttons 5. Use Claude to animate text word by word 6. Paste the code, adjust timing, launch Save this tutorial 🚀

How I use Claude for 2D website animations 👇 1. Ask Claude to create CSS keyframes for floating or bounce effects 2. Use Claude to write fade-up animations on scroll 3. Ask Claude for parallax code for backgrounds 4. Generate hover effects like glow, scale, rotate buttons 5. Use Claude to animate text word by word 6. Paste the code, adjust timing, launch Save this tutorial 🚀

97,613 Aufrufe

How I built with Lovable 👇 1. Start with midnight blue + soft sand feels cinematic instantly 2. Tell Lovable to make it a single scroll page with scene transitions 3. Add a lone figure walking through a dreamy 3D landscape 4. Each scroll section reveals a new sleep science fact 5. Use CSS fluid shapes for organic background movement 6. Wide spacing + slow fade-ins let the content breathe 7. Deploy in one click no code, no agency, no $10k budget

How I built with Lovable 👇 1. Start with midnight blue + soft sand feels cinematic instantly 2. Tell Lovable to make it a single scroll page with scene transitions 3. Add a lone figure walking through a dreamy 3D landscape 4. Each scroll section reveals a new sleep science fact 5. Use CSS fluid shapes for organic background movement 6. Wide spacing + slow fade-ins let the content breathe 7. Deploy in one click no code, no agency, no $10k budget

97,655 Aufrufe

How I built with Claude 👇 Prompt: "Design an agency site where services are presented as supermarket product packaging in 3D" Use Three.js with WebGL to render all products in real time in the browser Use Blender to model the packaging then export as GLTF to load in Three.js Use GSAP for the smooth product rotation and hover interactions Save this if you want a portfolio that makes clients feel they are buying something premium 🛒

How I built with Claude 👇 Prompt: "Design an agency site where services are presented as supermarket product packaging in 3D" Use Three.js with WebGL to render all products in real time in the browser Use Blender to model the packaging then export as GLTF to load in Three.js Use GSAP for the smooth product rotation and hover interactions Save this if you want a portfolio that makes clients feel they are buying something premium 🛒

76,325 Aufrufe

Kimi K3 vs GPT-5.6 vs Claude Fable 5 A game is one of the hardest places to fake working code. A web app can hide bugs behind a polished screenshot. A game can't. Bad collision, clipping, jitter, broken physics, awkward controls, or a snowboard sinking into the terrain become obvious within seconds. That's why I like using games to evaluate coding models. I gave Kimi K3 a single prompt to build a snowboard game in Godot, and just 20 seconds of gameplay told me more than a page of benchmark scores ever could. Benchmarks matter, but watching a model build something interactive reveals a different side of its capabilities. If the gameplay feels right, the systems work together, and the experience holds up under real input, that's a much more convincing demonstration than any leaderboard.

Kimi K3 vs GPT-5.6 vs Claude Fable 5 A game is one of the hardest places to fake working code. A web app can hide bugs behind a polished screenshot. A game can't. Bad collision, clipping, jitter, broken physics, awkward controls, or a snowboard sinking into the terrain become obvious within seconds. That's why I like using games to evaluate coding models. I gave Kimi K3 a single prompt to build a snowboard game in Godot, and just 20 seconds of gameplay told me more than a page of benchmark scores ever could. Benchmarks matter, but watching a model build something interactive reveals a different side of its capabilities. If the gameplay feels right, the systems work together, and the experience holds up under real input, that's a much more convincing demonstration than any leaderboard.

36,766 Aufrufe

How I built with Claude 👇 1. Structure it as 6 individual 3D scenes per product 2. Design each scene as an intimate alcove with its own world 3. Use scroll to move between scenes 4. Add hidden gestures that reward curious users 5. Pair a custom soundscape to each environment 6. Let the 3D render carry the story 7. This is how luxury brands sell without selling 8. Save this if you want websites that feel like walking into a store 🏆

How I built with Claude 👇 1. Structure it as 6 individual 3D scenes per product 2. Design each scene as an intimate alcove with its own world 3. Use scroll to move between scenes 4. Add hidden gestures that reward curious users 5. Pair a custom soundscape to each environment 6. Let the 3D render carry the story 7. This is how luxury brands sell without selling 8. Save this if you want websites that feel like walking into a store 🏆

75,220 Aufrufe

Claude Fable 5 and GPT-5.6 are cooked already… Sonnet 5 vs Opus 4.8 on another agentic video pipeline. Both generated a storyboard with GPT Images 2.0, then fed it into Seedance 2.0, all through Higgsfield MCP on Claude. Same quality, but each directed Seedance 2.0 completely differently.

Claude Fable 5 and GPT-5.6 are cooked already… Sonnet 5 vs Opus 4.8 on another agentic video pipeline. Both generated a storyboard with GPT Images 2.0, then fed it into Seedance 2.0, all through Higgsfield MCP on Claude. Same quality, but each directed Seedance 2.0 completely differently.

34,657 Aufrufe

I found a site you copy prompts for your motion websites design Here: Copy the prompt and paste on lovable or any ai you use to create websites You are welcome

I found a site you copy prompts for your motion websites design Here: Copy the prompt and paste on lovable or any ai you use to create websites You are welcome

32,453 Aufrufe

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Qwen3.8-Flash-Next is still going strong at 364.7K tokens of context on an M5 Max. And this isn’t just a static long-context test. The model was reasoning about how to speed up its own workflow while using tools, and the tool calls kept working without misses. Setup: • Qwen3.8-Flash-Next • M5 Max • 128GB unified memory • MLX-Serve PR #363 • OpenCode 2 • 364.7K context The interesting part isn’t simply getting hundreds of thousands of tokens into memory. It’s what happens once the context gets this large. Long-context inference usually comes with a painful tradeoff. As the KV cache grows, memory pressure increases and generation can slow down. But this setup is still pushing through 364K tokens while maintaining a usable agent workflow. The model can reason, call tools, inspect results, continue working, and keep the session moving. And the tool calls reportedly haven’t missed so far. That’s important for agentic coding. A huge context window is only useful if the model can actually operate reliably inside it. A 400K-token context that constantly breaks tool calls isn’t very useful. A 364K session that can keep reasoning and executing tools is a different story. And the test isn’t finished yet. The current run is approaching 400K tokens, with the expectation that it can keep going. This is also another interesting example of why Apple Silicon keeps showing up in local LLM experiments. The M5 Max’s unified memory gives a large model and its growing KV cache access to one shared memory pool. With MLX-Serve continuing to improve, these machines are becoming surprisingly capable long-context inference boxes. The bigger takeaway: Context length is becoming a workload, not just a model specification. Running a model at 256K is one thing. Keeping an agent alive at 300K+ while it reasons and uses tools is much more interesting. And Qwen3.8-Flash-Next is showing that this can be pushed surprisingly far on a single 128GB Mac. 364.7K and counting. Next stop: 400K.

Qwen3.8-Flash-Next is still going strong at 364.7K tokens of context on an M5 Max. And this isn’t just a static long-context test. The model was reasoning about how to speed up its own workflow while using tools, and the tool calls kept working without misses. Setup: • Qwen3.8-Flash-Next • M5 Max • 128GB unified memory • MLX-Serve PR #363 • OpenCode 2 • 364.7K context The interesting part isn’t simply getting hundreds of thousands of tokens into memory. It’s what happens once the context gets this large. Long-context inference usually comes with a painful tradeoff. As the KV cache grows, memory pressure increases and generation can slow down. But this setup is still pushing through 364K tokens while maintaining a usable agent workflow. The model can reason, call tools, inspect results, continue working, and keep the session moving. And the tool calls reportedly haven’t missed so far. That’s important for agentic coding. A huge context window is only useful if the model can actually operate reliably inside it. A 400K-token context that constantly breaks tool calls isn’t very useful. A 364K session that can keep reasoning and executing tools is a different story. And the test isn’t finished yet. The current run is approaching 400K tokens, with the expectation that it can keep going. This is also another interesting example of why Apple Silicon keeps showing up in local LLM experiments. The M5 Max’s unified memory gives a large model and its growing KV cache access to one shared memory pool. With MLX-Serve continuing to improve, these machines are becoming surprisingly capable long-context inference boxes. The bigger takeaway: Context length is becoming a workload, not just a model specification. Running a model at 256K is one thing. Keeping an agent alive at 300K+ while it reasons and uses tools is much more interesting. And Qwen3.8-Flash-Next is showing that this can be pushed surprisingly far on a single 128GB Mac. 364.7K and counting. Next stop: 400K.

39,982 Aufrufe • vor 4 Tagen

125B on a single RTX 4090 at 25 tok/s is actually insane Qwen3.8-Flash-Next + MTP is hitting: 80K context 25.35 tok/s decode 471 tok/s prefill On one consumer GPU. Yes, it’s an MoE, so you’re not running all 125B parameters for every token. But still, getting a model this large to run this fast on a 4090 is wild. MTP is doing a lot of the heavy lifting here too. Instead of generating one token at a time, it can speculate on multiple tokens and verify them together. And 25 tok/s is the important number.

125B on a single RTX 4090 at 25 tok/s is actually insane Qwen3.8-Flash-Next + MTP is hitting: 80K context 25.35 tok/s decode 471 tok/s prefill On one consumer GPU. Yes, it’s an MoE, so you’re not running all 125B parameters for every token. But still, getting a model this large to run this fast on a 4090 is wild. MTP is doing a lot of the heavy lifting here too. Instead of generating one token at a time, it can speculate on multiple tokens and verify them together. And 25 tok/s is the important number.

38,386 Aufrufe • vor 8 Tagen

Сlaude Design is so cracked at marketing. 🤯 and anyone can achieve the same results. Here's the prompt ↓

Сlaude Design is so cracked at marketing. 🤯 and anyone can achieve the same results. Here's the prompt ↓

219,605 Aufrufe • vor 4 Monaten

USE CLAUDE FABLE 5 WITHOUT HITTING LIMITS. Pro tip for Claude Code users 🧑‍💻 Set Fable 5 as orchestrator → Let Opus handle heavy reasoning Save Fable's intelligence for where it matters most ⚡ Work smarter, not harder 🔥

USE CLAUDE FABLE 5 WITHOUT HITTING LIMITS. Pro tip for Claude Code users 🧑‍💻 Set Fable 5 as orchestrator → Let Opus handle heavy reasoning Save Fable's intelligence for where it matters most ⚡ Work smarter, not harder 🔥

94,931 Aufrufe • vor 3 Monaten

Qwen3.8-27B vs Ornith-1.5-35B on the Bioluminescent Abyssal Temple challenge. Same prompt. Same Grok Build harness. 4-bit MLX. → Qwen: ~24 tok/s · 33 min → Ornith: ~55 tok/s · 16 min Ornith was over 2× faster and finished in roughly half the time. This is a great example of why raw parameter count doesn’t tell the whole story. Qwen vs Ornith is getting seriously interesting.

Qwen3.8-27B vs Ornith-1.5-35B on the Bioluminescent Abyssal Temple challenge. Same prompt. Same Grok Build harness. 4-bit MLX. → Qwen: ~24 tok/s · 33 min → Ornith: ~55 tok/s · 16 min Ornith was over 2× faster and finished in roughly half the time. This is a great example of why raw parameter count doesn’t tell the whole story. Qwen vs Ornith is getting seriously interesting.

22,929 Aufrufe • vor 21 Tagen

Built this with just 3 tools; Materials¹ → Create 3D visuals Seedance 2.0 → Animation Claude Code → Build

Built this with just 3 tools; Materials¹ → Create 3D visuals Seedance 2.0 → Animation Claude Code → Build

50,427 Aufrufe • vor 2 Monaten

This is a tutorial a 12 min on how Build 3D Websites in Minutes with Al (0 Design + 0 Coding) with Claude Fable 5 and Opus 4.8 Claude Fable 5 and Opus 4.8 are massive

This is a tutorial a 12 min on how Build 3D Websites in Minutes with Al (0 Design + 0 Coding) with Claude Fable 5 and Opus 4.8 Claude Fable 5 and Opus 4.8 are massive

49,063 Aufrufe • vor 2 Monaten

changed how I design with AI. I show how to build faster by adding a design system directly into the prompt, importing any website URL to get a strong starting point, then polishing everything in my own style. I also mix it with components and skills to keep the design consistent and more unique. GPT-5.5 cloning websites is honestly crazy good. The result can get very close to the original, then you can refine it and make it your own. Full breakdown in the comments.

changed how I design with AI. I show how to build faster by adding a design system directly into the prompt, importing any website URL to get a strong starting point, then polishing everything in my own style. I also mix it with components and skills to keep the design consistent and more unique. GPT-5.5 cloning websites is honestly crazy good. The result can get very close to the original, then you can refine it and make it your own. Full breakdown in the comments.

57,007 Aufrufe • vor 3 Monaten

This is how I create a motion design workflow fully AI-powered with Claude and Higgsfield MCP. 1. Start by pulling references via Pinterest API in Claude Code 2. Generate a 6-scene storyboard through GPT Images 2.0 3. In Higgsfield MCP, then render it straight to video in Seedance 2.0 All connected in one seamless pipeline.

This is how I create a motion design workflow fully AI-powered with Claude and Higgsfield MCP. 1. Start by pulling references via Pinterest API in Claude Code 2. Generate a 6-scene storyboard through GPT Images 2.0 3. In Higgsfield MCP, then render it straight to video in Seedance 2.0 All connected in one seamless pipeline.

45,001 Aufrufe • vor 3 Monaten

Created a personal AI dashboard with Claude Fable 5! This entire dashboard is a one shot using my design style on Claude Design. It has a bunch of active widgets that are interactive.

Created a personal AI dashboard with Claude Fable 5! This entire dashboard is a one shot using my design style on Claude Design. It has a bunch of active widgets that are interactive.

28,094 Aufrufe • vor 3 Monaten

Everyone is talking about Claude Design… but I keep going back to Gemini. Gemini 3.1 Pro is seriously impressive when it comes to motion design. I actually want to try Claude Design, but after only two prompts, I was already running out of credits. If you care about anti AI slop, Gemini is still winning. With a single prompt, it can transform a static HTML layout into dynamic, polished motion graphics.

Everyone is talking about Claude Design… but I keep going back to Gemini. Gemini 3.1 Pro is seriously impressive when it comes to motion design. I actually want to try Claude Design, but after only two prompts, I was already running out of credits. If you care about anti AI slop, Gemini is still winning. With a single prompt, it can transform a static HTML layout into dynamic, polished motion graphics.

25,019 Aufrufe • vor 2 Monaten

Two frontier models. Two very different demos. (GPT-5.6 Sol and Claude Fable 5) GPT-5.6 Sol Ultra was pushed in a mathematical direction and generated a Minecraft-style clone in Lean. Yes, that Lean. Meanwhile, Claude Fable 5 took a game development route and built a Minecraft mod featuring a Dark Souls-inspired enemy with multiple attack patterns, combos, and combat logic. They're solving completely different problems, but both are great examples of how capable today's models have become. The pace of progress is remarkable.

Two frontier models. Two very different demos. (GPT-5.6 Sol and Claude Fable 5) GPT-5.6 Sol Ultra was pushed in a mathematical direction and generated a Minecraft-style clone in Lean. Yes, that Lean. Meanwhile, Claude Fable 5 took a game development route and built a Minecraft mod featuring a Dark Souls-inspired enemy with multiple attack patterns, combos, and combat logic. They're solving completely different problems, but both are great examples of how capable today's models have become. The pace of progress is remarkable.

19,336 Aufrufe • vor 2 Monaten

Motion design with Claude + Higgsfield MCP 🧩 Turn a single text prompt into pro-level motion videos. It’s actually insanely simple: 1. Describe your idea to Claude 2. Ask it to generate a storyboard 3. Pick your favorite concept 4. Let Higgsfield MCP render the final video

Motion design with Claude + Higgsfield MCP 🧩 Turn a single text prompt into pro-level motion videos. It’s actually insanely simple: 1. Describe your idea to Claude 2. Ask it to generate a storyboard 3. Pick your favorite concept 4. Let Higgsfield MCP render the final video

25,051 Aufrufe • vor 3 Monaten

Hey Claude, redesign my landing page and add some 3D depth to it 🔥 — Claude Opus 4.8 ultracode

Hey Claude, redesign my landing page and add some 3D depth to it 🔥 — Claude Opus 4.8 ultracode

15,613 Aufrufe • vor 2 Monaten

How I create 3D-feel websites with expanding images using Claude Code👇 1. Use Claude to plan scroll-based animations + scene flow 2. Start with full-width images that expand on scroll 3. Add zoom-in + scale effects to create depth illusion 4. Layer images to simulate foreground/background (fake 3D) 5. Use parallax so elements move at different speeds 6. Add smooth transitions + ambient motion for immersion 7. Fine-tune timing (0.6s–1.2s) for cinematic feel Save this if you want next-level websites 🚀

How I create 3D-feel websites with expanding images using Claude Code👇 1. Use Claude to plan scroll-based animations + scene flow 2. Start with full-width images that expand on scroll 3. Add zoom-in + scale effects to create depth illusion 4. Layer images to simulate foreground/background (fake 3D) 5. Use parallax so elements move at different speeds 6. Add smooth transitions + ambient motion for immersion 7. Fine-tune timing (0.6s–1.2s) for cinematic feel Save this if you want next-level websites 🚀

10,268 Aufrufe • vor 3 Monaten

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