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AI DESIGNS LOOK GENERIC BECAUSE THE AI HAS NEVER BEEN TAUGHT REAL COMPOSITION RULES Someone built a free skill that teaches your agents the Müller-Brockmann grid system, the foundation behind modern editorial design, condensed into 162 pages. Your agent stops guessing and starts applying real grid structure, visual hierarchy... show more

0xMarioNawfal

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40,937 views • 3 months ago •via X (Twitter)

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CODEX SKILL FOR FRONTENDS THAT DON’T LOOK AI-GENERATED Meng To posted a killer breakdown on avoiding AI slop in landing pages. I turned it into a Codex skill. Point Codex at your landing page and it audits: -> typography + letter spacing -> fake-looking images -> generic AI sections -> weak visual hierarchy -> mobile polish -> missing human details Install: `npx --yes mengtofrontend@latest` 100% open source. Link in bio.

CODEX SKILL FOR FRONTENDS THAT DON’T LOOK AI-GENERATED Meng To posted a killer breakdown on avoiding AI slop in landing pages. I turned it into a Codex skill. Point Codex at your landing page and it audits: -> typography + letter spacing -> fake-looking images -> generic AI sections -> weak visual hierarchy -> mobile polish -> missing human details Install: `npx --yes mengtofrontend@latest` 100% open source. Link in bio.

Kappaemme

47,132 views • 3 months ago

We tested a lot of design skills in Codex and other AI agents. They fix the old AI slop. But they often create a new one: the “taste skill look.” - Same premium sections. - Same editorial typography. - Same generated-design smell. Open Design does not rely on one taste prompt. It combines skills, systems, critique loops, and local harnesses to make AI pages feel less generated and more designed. This page was generated directly in Open Design.

We tested a lot of design skills in Codex and other AI agents. They fix the old AI slop. But they often create a new one: the “taste skill look.” - Same premium sections. - Same editorial typography. - Same generated-design smell. Open Design does not rely on one taste prompt. It combines skills, systems, critique loops, and local harnesses to make AI pages feel less generated and more designed. This page was generated directly in Open Design.

Open Design

44,061 views • 4 months ago

You can now use Figma for FREE with this tool. It's called Penpot. An open-source design tool that mirrors Figma's layout and workflow, free, self-hostable → MCP server lets AI agents edit your designs directly → Free Dev Mode with instant CSS, SVG, and HTML → Native design tokens keep design & code in sync → Real-time collaboration built in 100% Free. Open source.

You can now use Figma for FREE with this tool. It's called Penpot. An open-source design tool that mirrors Figma's layout and workflow, free, self-hostable → MCP server lets AI agents edit your designs directly → Free Dev Mode with instant CSS, SVG, and HTML → Native design tokens keep design & code in sync → Real-time collaboration built in 100% Free. Open source.

Simplifying AI

57,267 views • 2 months ago

‼️found a site that ends AI design slop. superrr is an MCP server that gives your coding agent taste. they measured 132 real landing pages, verified 123 of them and pulled out 17 design directions with exact tokens. the agents still writes the code. superrr picks the direction, hands it the structure then grades what it built by scanning the live page after. no more generic purple gradient landing pages. their landing page was one-shotted with it. three lines to connect to Claude. link:

‼️found a site that ends AI design slop. superrr is an MCP server that gives your coding agent taste. they measured 132 real landing pages, verified 123 of them and pulled out 17 design directions with exact tokens. the agents still writes the code. superrr picks the direction, hands it the structure then grades what it built by scanning the live page after. no more generic purple gradient landing pages. their landing page was one-shotted with it. three lines to connect to Claude. link:

sui

25,411 views • 1 month ago

I've spent weeks turning ui-craft from a Claude-only skill into a real system — and today v1 ships. 🚀 It now has its own installer. One command and your AI agent — Claude Code, Cursor, Codex, Gemini, OpenCode — designs with actual taste. brew install --cask educlopez/tap/ui-craft 🧵 what's new

I've spent weeks turning ui-craft from a Claude-only skill into a real system — and today v1 ships. 🚀 It now has its own installer. One command and your AI agent — Claude Code, Cursor, Codex, Gemini, OpenCode — designs with actual taste. brew install --cask educlopez/tap/ui-craft 🧵 what's new

Edu Calvo

28,360 views • 3 months ago

Tavily Agent Skills are now here ⚡ Your agents can now: search the live web pull fresh docs & pages research markets, competitors and products cite sources all without leaving the terminal. We also shipped tavily-best-practices. A skill that teaches agents how to build production-ready web-connected AI built on real-world lessons from builders like you. Works wherever you’re building agents: Claude · Cursor · Google Antigravity Install now with one line.

Tavily Agent Skills are now here ⚡ Your agents can now: search the live web pull fresh docs & pages research markets, competitors and products cite sources all without leaving the terminal. We also shipped tavily-best-practices. A skill that teaches agents how to build production-ready web-connected AI built on real-world lessons from builders like you. Works wherever you’re building agents: Claude · Cursor · Google Antigravity Install now with one line.

Tavily

15,287 views • 8 months ago

📐Design Systems and DESIGN.md Consistency using Design Systems and DESIGN.md: ✨ Every new design automatically starts with a cohesive design system which GREATLY improves consistency (we heard you!) ✨ Edit the system, and all associated screens can be easily updated ✨ You can extract a design system from any URL ✨ Use DESIGN.md to export your design rules or import your design rules from other products (just ask your agent to create you a DESIGN.md file from your code or other context) ✨ You can start a new design by choosing from popular design systems ✨ Read more about DESIGN.md in the docs (link in thread)

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Stitch by Google

219,386 views • 6 months ago

I found 9 sites that generate Design Markdown files for your AI builds ! here are the links: - - - - - - - - They help turn your visual direction into an actual design system your coding agent can follow. typography, colors, spacing, radius, shadows, components, states and responsive behaviour. before you build any screen, pick a visual direction and generate the design .md file aligned with your product mechanics and outcome goals add it to Claude Code or Cursor, then use /design to describe what should stay consistent across every screen this gives the agent actual constraints instead of asking it to “make the UI look premium” and hoping for a good output you'll ship much cleaner product ideations at lightning fast speed ! ( this and a folder of 5-6 visual references are the first things we prepare before starting a client build )

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Harshil Tomar

83,407 views • 24 days ago

📣 AITECH Launches AI Agent TapHub: A New Era of AI-Gaming in Web3! AITECH introduces AI Agent TapHub, an AI-powered tap mini-game on Telegram, built on Spheroid Engine and TON. This innovative game merges AI Agents, blockchain, and gaming, offering new ways to play, create, and earn. Key Features: 🔹 Play to Earn – Win AI Agent Avatars and use them on Agent Forge to develop AI agents. 🔹 Trade & Sell – Convert in-game avatars into USDT for real-world value. 🔹 Revenue Sharing – Selected avatars will be developed into full AI agents, with players earning a share of the revenue. The upcoming AI Agents platform, Agent Forge, will allow anyone to create and monetize AI agents—no coding required. AI Agent TapHub is live now on Telegram. ➡️ Join now and bring your AI Agent to life:

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AITECH CLOUD NETWORK

76,023 views • 1 year ago

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Nainsi Dwivedi

13,617 views • 6 months ago

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AI IS NO LONGER JUST WRITING CODE IT iS STARTING TO MOVE THINGS IN THE REAL WORLD. Someone just built a pizza delivery system where the drone does the driving No delivery car No traffic No driver sitting behind the wheel Just: -> Order comes in -> Drone picks up the pizza -> Flies directly to the destination -> Delivers it -> Returns And this is where the AI story gets interesting For years, the AI boom was mostly digital: > Chatbots > Coding agents > Image generation > AI music > AI video But the next phase is different AI is getting a body The same technology stack that started with models and GPUs is now moving into the physical world NVIDIA built the compute layer Researchers built the models Companies like Zoox are building autonomous vehicles And now we're seeing AI powered machines actually move through the real world The crazy part? We designed entire cities around the assumption that humans have to physically drive everything AI doesn't have that limitation Why send a pizza through 5 km of traffic when a machine can simply fly over it? The AI boom isn't just about replacing human work It's about removing constraints humans had to design around The next big AI companies might not live inside your browser They might be flying above your house Bookmark this so you wont miss the next delivery

0xSlyth

14,149 views • 1 month ago

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ClawVault

32,631 views • 6 months ago

We finally have a "Figma for AI agents." It's called Awesome-design-md. A curated collection of UI systems extracted from 50+ top websites, formatted specifically for coding agents. Instead of parsing screenshots or messy design files, you drop a DESIGN.md straight into your project. It upgrades your AI's UI skills instantly. > Unlocks 50+ elite design systems: Cursor, Vercel, Stripe, Spotify, SpaceX, and more > Structured into 9 clear sections: typography, spacing, elevation, rules > Includes light/dark previews for quick visual checks > Uses Google Stitch's native plain-text format for LLMs Every file also comes with an Agent Guide, ready-to-use prompts included. 100% Free. Open Source.

We finally have a "Figma for AI agents." It's called Awesome-design-md. A curated collection of UI systems extracted from 50+ top websites, formatted specifically for coding agents. Instead of parsing screenshots or messy design files, you drop a DESIGN.md straight into your project. It upgrades your AI's UI skills instantly. > Unlocks 50+ elite design systems: Cursor, Vercel, Stripe, Spotify, SpaceX, and more > Structured into 9 clear sections: typography, spacing, elevation, rules > Includes light/dark previews for quick visual checks > Uses Google Stitch's native plain-text format for LLMs Every file also comes with an Agent Guide, ready-to-use prompts included. 100% Free. Open Source.

Simplifying AI

12,824 views • 2 months ago

Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable

Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable

Impeccable

233,051 views • 3 months ago

THIS DEVELOPER USED OPENCLAW AGENTS TO RUN HIS B2B BUSINESS VIA TELEGRAM AND MADE $15,000/MONTH he doesn't write prompts from scratch or use generic browser interfaces. he runs a multi-agent framework through a mobile chat. the agents write code, test deployments, and update sites in real-time while he just hits approve the setup is straightforward: - spin up Coolify on a free cloud instance to host your own self-hosted agent panels - link the agent loop to a Telegram gateway to approve code edits from your phone - deploy specialized skill files directly to limit token waste and context decay - containerize the terminal execution using Docker to prevent security breaches if you are still running local agents without container safety, you are leaving money on the table. read the 30-day battle between OpenClaw and Hermes Agent to see who actually wins in production Full breakdown and migration playbook ↓

THIS DEVELOPER USED OPENCLAW AGENTS TO RUN HIS B2B BUSINESS VIA TELEGRAM AND MADE $15,000/MONTH he doesn't write prompts from scratch or use generic browser interfaces. he runs a multi-agent framework through a mobile chat. the agents write code, test deployments, and update sites in real-time while he just hits approve the setup is straightforward: - spin up Coolify on a free cloud instance to host your own self-hosted agent panels - link the agent loop to a Telegram gateway to approve code edits from your phone - deploy specialized skill files directly to limit token waste and context decay - containerize the terminal execution using Docker to prevent security breaches if you are still running local agents without container safety, you are leaving money on the table. read the 30-day battle between OpenClaw and Hermes Agent to see who actually wins in production Full breakdown and migration playbook ↓

marfin

26,654 views • 3 months ago

PAYING PER MODEL IS THE DUMBEST THING IN TECH RIGHT NOW i was paying 3x what i needed to for AI inference the grid lets you buy a quality spec instead of a specific model.. it routes every request in real time to the cheapest option that qualifies swap one url and your code keeps working exactly the same openai-compatible, one line to switch, 200M free tokens to start

PAYING PER MODEL IS THE DUMBEST THING IN TECH RIGHT NOW i was paying 3x what i needed to for AI inference the grid lets you buy a quality spec instead of a specific model.. it routes every request in real time to the cheapest option that qualifies swap one url and your code keeps working exactly the same openai-compatible, one line to switch, 200M free tokens to start

Robin Delta

15,729 views • 4 months ago

Building AI agents is finally simple — and Airia is leading the way. I’ve been testing Airia AI , enterprise AI orchestration platform that unifies every model, workflow, and data source into one secure environment. Whether you’re a developer, analyst, creator, or enterprise leader, Airia makes it incredibly easy to build powerful AI agents — without wrestling with multiple tools or complex integrations. Using the no-code builder, you can drag-and-drop actions, connect data, choose your LLM, and launch an agent in minutes. Then run it live, publish it, and even share it with the Airia Community, home to 2,500+ pre-built agents you can use or remix. If you want to automate workflows, prototype faster, or explore real enterprise AI use cases, Airia is the place to start. 👉 Build your first agent today: 👉 Explore the community: #Airia #AgenticAI #AIOrchestration #AIAgents #AIWorkflow #DigitalTransformation

Building AI agents is finally simple — and Airia is leading the way. I’ve been testing Airia AI , enterprise AI orchestration platform that unifies every model, workflow, and data source into one secure environment. Whether you’re a developer, analyst, creator, or enterprise leader, Airia makes it incredibly easy to build powerful AI agents — without wrestling with multiple tools or complex integrations. Using the no-code builder, you can drag-and-drop actions, connect data, choose your LLM, and launch an agent in minutes. Then run it live, publish it, and even share it with the Airia Community, home to 2,500+ pre-built agents you can use or remix. If you want to automate workflows, prototype faster, or explore real enterprise AI use cases, Airia is the place to start. 👉 Build your first agent today: 👉 Explore the community: #Airia #AgenticAI #AIOrchestration #AIAgents #AIWorkflow #DigitalTransformation

Adarsh Chetan

269,554 views • 10 months ago

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

Mike Futia

126,588 views • 6 months ago

THIS DEVELOPER USED A 10,000+ STAR OBSIDIAN REPO TO TURN HIS GROWING VAULT INTO A SEARCHABLE AI MEMORY SYSTEM most people keep adding notes until the graph looks impressive but nobody can find the exact context when a real task starts new note → ai summary → entity links → backlinks → graph update → claude retrieves the right 3–5 files instead of scanning the entire vault the system connects projects, decisions, research, and unfinished ideas, so old context resurfaces automatically instead of disappearing inside hundreds of folders he built the workflow around Claudian, an open-source repo with 10,000+ GitHub stars that brings Claude Code directly into Obsidian → bookmark this before your next 1,000 notes become another beautiful graph that your AI still cannot use

THIS DEVELOPER USED A 10,000+ STAR OBSIDIAN REPO TO TURN HIS GROWING VAULT INTO A SEARCHABLE AI MEMORY SYSTEM most people keep adding notes until the graph looks impressive but nobody can find the exact context when a real task starts new note → ai summary → entity links → backlinks → graph update → claude retrieves the right 3–5 files instead of scanning the entire vault the system connects projects, decisions, research, and unfinished ideas, so old context resurfaces automatically instead of disappearing inside hundreds of folders he built the workflow around Claudian, an open-source repo with 10,000+ GitHub stars that brings Claude Code directly into Obsidian → bookmark this before your next 1,000 notes become another beautiful graph that your AI still cannot use

Gipp 🦅

16,393 views • 2 months ago

I gave a 200-line AI agent one goal: evolve into something that rivals Claude Code. 🧬 It only has one power—the ability to modify its own source code. The rules are simple: every change must pass CI. Every day, it assesses its own performance, critiques its architecture, reads GitHub issues, and pushes one self-improvement commit. Day 1 starts today. Watch the evolution.

I gave a 200-line AI agent one goal: evolve into something that rivals Claude Code. 🧬 It only has one power—the ability to modify its own source code. The rules are simple: every change must pass CI. Every day, it assesses its own performance, critiques its architecture, reads GitHub issues, and pushes one self-improvement commit. Day 1 starts today. Watch the evolution.

Yuanhao

49,678 views • 7 months ago