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📢 AI Template is now live! Figma and React, fully in sync 🥳 Built for real AI workflows — not demos. ✨ What’s inside: → AI-focused screens → Conversation-based layouts → Actions & system states → 30+ production-ready screens 🔗 w / AlignUI Design System

Erşad

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11,976 次观看 • 6 个月前 •via X (Twitter)

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🚨 Our AI designer is now LIVE in Figma Our aim isn't to build a tool, but rather, provide a design partner. You give it a screen. It gives you: 1. Layout iterations - same data points, different layouts. 2. Instant critique - based on UX best practices, your context, and patterns 3. Alternative screens - not just what’s wrong, but what’s better Inside Figma. On your designs. Based on your context. After all, great work comes from iterations. P.S. I used AI to create the song, what do you think? Fun?

🚨 Our AI designer is now LIVE in Figma Our aim isn't to build a tool, but rather, provide a design partner. You give it a screen. It gives you: 1. Layout iterations - same data points, different layouts. 2. Instant critique - based on UX best practices, your context, and patterns 3. Alternative screens - not just what’s wrong, but what’s better Inside Figma. On your designs. Based on your context. After all, great work comes from iterations. P.S. I used AI to create the song, what do you think? Fun?

Kshitij

69,537 次观看 • 1 年前

Figma to AI back to Figma This is a great loop for design explorations and gain back full control of the results. You can ask Aura to create new components, icons, graphics and entire screens based on existing design systems. All fully layered, nested and based on your prompt.

Figma to AI back to Figma This is a great loop for design explorations and gain back full control of the results. You can ask Aura to create new components, icons, graphics and entire screens based on existing design systems. All fully layered, nested and based on your prompt.

Meng To

75,662 次观看 • 1 年前

Claude Code is CRACKED at design now and I don't think people understand how BIG this is. There is now one tool that takes you from a rough idea to fully designed, agency-tier, App Store-ready screens in minutes. One design system, every screen, real native code. Most builders hand design to Claude Code, get AI-default screens, and wonder why their app looks like every other vibe coded project. This is the 3-step workflow that fixes it: (full breakdown in the article)

Claude Code is CRACKED at design now and I don't think people understand how BIG this is. There is now one tool that takes you from a rough idea to fully designed, agency-tier, App Store-ready screens in minutes. One design system, every screen, real native code. Most builders hand design to Claude Code, get AI-default screens, and wonder why their app looks like every other vibe coded project. This is the 3-step workflow that fixes it: (full breakdown in the article)

Prajwal Tomar

105,433 次观看 • 1 个月前

I still don't think people understand what just happened with Claude Code. There is now one tool that takes you from a rough idea to fully designed, agency-tier, App Store-ready screens in minutes. One design system, every screen, real native code. Most builders hand design to Claude Code, get AI-default screens, and wonder why their app looks like every other vibe coded project. This is the 3-step workflow that fixes it: (full breakdown in the article)

I still don't think people understand what just happened with Claude Code. There is now one tool that takes you from a rough idea to fully designed, agency-tier, App Store-ready screens in minutes. One design system, every screen, real native code. Most builders hand design to Claude Code, get AI-default screens, and wonder why their app looks like every other vibe coded project. This is the 3-step workflow that fixes it: (full breakdown in the article)

Prajwal Tomar

146,206 次观看 • 1 个月前

General AI is already a dated concept. ThinkingAI connects an entire business ecosystem through MCP, pulling data, tools, and workflows into a single execution layer. Not isolated AI tools working separately. Coordinated agent systems triggering real actions across the whole operation. The shift is from using AI to running on it. Every company becomes an AI-powered system built on custom agent teams through the ThinkingAI Agentic Engine.

General AI is already a dated concept. ThinkingAI connects an entire business ecosystem through MCP, pulling data, tools, and workflows into a single execution layer. Not isolated AI tools working separately. Coordinated agent systems triggering real actions across the whole operation. The shift is from using AI to running on it. Every company becomes an AI-powered system built on custom agent teams through the ThinkingAI Agentic Engine.

Future Stacked

52,003 次观看 • 3 个月前

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

King

155,637 次观看 • 7 个月前

Did you know that Web3 Decision has been building Shariah-Compliant AI Design & Tokenomics Vetting Tools for almost 3 years? Our Logic-Based Artificial Intelligence is not a buzzword — it’s a fully evolving system trained to understand: • Islamic finance principles • gharar, maysir, riba detection • halal tokenomics design • smart contract compliance logic • risk scoring and on-chain behavior patterns While the world is just starting to discuss ethical AI and compliant crypto systems… We’ve already been training one. For 3 years. The future of Islamic Finance × AI × Blockchain is being built — and it’s being built at Web3 Decision. #RWA #DePin #AI #Shariah #Finance

Did you know that Web3 Decision has been building Shariah-Compliant AI Design & Tokenomics Vetting Tools for almost 3 years? Our Logic-Based Artificial Intelligence is not a buzzword — it’s a fully evolving system trained to understand: • Islamic finance principles • gharar, maysir, riba detection • halal tokenomics design • smart contract compliance logic • risk scoring and on-chain behavior patterns While the world is just starting to discuss ethical AI and compliant crypto systems… We’ve already been training one. For 3 years. The future of Islamic Finance × AI × Blockchain is being built — and it’s being built at Web3 Decision. #RWA #DePin #AI #Shariah #Finance

Web3 Decision

11,630 次观看 • 8 个月前

🟡 Janitor NOW LIVE CA: 0x3c8D20001FE883934A15c949a3355a65Ca984444, paired with USD1 Janitor is an autonomous crypto intelligence system powered by MCP, built to analyze attention in real-time. The AI guardian of BNB Chain is here. Follow Janitor for live signal flow.

🟡 Janitor NOW LIVE CA: 0x3c8D20001FE883934A15c949a3355a65Ca984444, paired with USD1 Janitor is an autonomous crypto intelligence system powered by MCP, built to analyze attention in real-time. The AI guardian of BNB Chain is here. Follow Janitor for live signal flow.

Janitor

152,889 次观看 • 1 年前

The recent AI Impact Summit hosted by India recently brings focus on practical applications of AI. At Madukkarai in Tamil Nadu, a simple AI-based Elephant Detection System has enabled 8,679 safe elephant crossings in a little more than 2 years. Incidently it has also recorded 100 leopard alerts, 560 wild gaur alerts, and captured 14,888 deer alerts across two vulnerable railway stretches, protecting precious wildlife. In Gudalur in the Nilgiris, another AI system is working at the landscape level to generate real-time alerts for the local community, and in Hosur too, an AI system is helping elephants. These systems may not be perfect, no system ever is, but the foremost goal is protection. The future of AI lies not just in innovation, but in using technology where it matters most: solving real problems, in real places, and for real lives #AIforgood #wildlifeconservation #MadukkaraiAIProject #elephants WWF-India WWF IUCN

The recent AI Impact Summit hosted by India recently brings focus on practical applications of AI. At Madukkarai in Tamil Nadu, a simple AI-based Elephant Detection System has enabled 8,679 safe elephant crossings in a little more than 2 years. Incidently it has also recorded 100 leopard alerts, 560 wild gaur alerts, and captured 14,888 deer alerts across two vulnerable railway stretches, protecting precious wildlife. In Gudalur in the Nilgiris, another AI system is working at the landscape level to generate real-time alerts for the local community, and in Hosur too, an AI system is helping elephants. These systems may not be perfect, no system ever is, but the foremost goal is protection. The future of AI lies not just in innovation, but in using technology where it matters most: solving real problems, in real places, and for real lives #AIforgood #wildlifeconservation #MadukkaraiAIProject #elephants WWF-India WWF IUCN

Supriya Sahu IAS

177,590 次观看 • 5 个月前

This guy literally broke down everything to build a 21 agent dev team in Claude Code: 0:00 - Why one prompt = AI slop 1:55 - Claude Code as your full startup 2:43 - The 21-agent team 4:57 - Inside the system analyst agent 5:52 - Live demo: 0 → TestFlight 8:42 - Define a "good" system analyst first 11:53 - The system analyst workflow 12:17 - Why Confluence + Jira + MCPs matter 15:30 - Classic PM skills > vibe coding 19:15 - The scaffolding that kills spaghetti code 22:10 - Setting up agents inside Claude Code 26:19 - The longest dictation prompt this podcast has seen 35:29 - Why dictation beats typing for AI specs 47:30 - Brand guidelines in Figma Make 55:59 - Idea → prompt → design → app 1:06:27 - Claude Code builds the Figma screens 1:23:59 - Frontend tickets appear in Jira (with Figma links) 1:48:49 - The hockey rules AI app goes live 1:53:56 - Full recap: Claude, Confluence, Figma, Jira, Simulator, TestFlight 2:03:17 - Should PMs get AI PM certificates? 2:08:15 - How to build a PM portfolio that lands FAANG offers 2:13:25 - How to get started this week

Aakash Gupta

178,026 次观看 • 3 个月前

TARS Research is now live, the first AI research lab built entirely for Solana. Research is where real innovation begins. If TARS is to lead AI infrastructure onchain, it must define the frameworks others will follow. TARS Research is built for that: > A dedicated lab advancing agent architecture, tokenization, and onchain intelligence > Powering everything from the AI Marketplace to Sona > Focused on setting standards, not following them AI on Solana starts here.

TARS Research is now live, the first AI research lab built entirely for Solana. Research is where real innovation begins. If TARS is to lead AI infrastructure onchain, it must define the frameworks others will follow. TARS Research is built for that: > A dedicated lab advancing agent architecture, tokenization, and onchain intelligence > Powering everything from the AI Marketplace to Sona > Focused on setting standards, not following them AI on Solana starts here.

TARS AI 🤖

169,874 次观看 • 1 年前

At I/O, we announced a big new export partner: Bolt by StackBlitz! ⚡️ bolt.new is an AI-powered builder that generates full-stack web apps directly in your browser. Now, you can take your Stitch screens from a visual concept to a fully coded application with a single click. Here is how it works: 🔹 Select your screens in Stitch 🔹 Click export 🔹 Your screens are automatically transferred to Bolt, ready to be built into a working product 🛠️ (Note: Bolt will accept up to 5 screens at a time for Bolt Free users, and up to 20 screens for Paid users)

At I/O, we announced a big new export partner: Bolt by StackBlitz! ⚡️ bolt.new is an AI-powered builder that generates full-stack web apps directly in your browser. Now, you can take your Stitch screens from a visual concept to a fully coded application with a single click. Here is how it works: 🔹 Select your screens in Stitch 🔹 Click export 🔹 Your screens are automatically transferred to Bolt, ready to be built into a working product 🛠️ (Note: Bolt will accept up to 5 screens at a time for Bolt Free users, and up to 20 screens for Paid users)

Stitch by Google

284,365 次观看 • 2 个月前

AI fully taking over 3D is inevitable you can now add 3D bg for 3D models inside 3d software using World Labs's Marble and.. view in real time and even use Octane's 3DGS to light up the model without adding lights this is impossible w/o AI

AI fully taking over 3D is inevitable you can now add 3D bg for 3D models inside 3d software using World Labs's Marble and.. view in real time and even use Octane's 3DGS to light up the model without adding lights this is impossible w/o AI

el.cine

174,533 次观看 • 8 个月前

While your team is just getting started vibe coding prototypes, the team at Stripe is vibe coding a full vibe coding platform. Owen Williams ⚡ is a design manager at Stripe who built Protodash - an internal AI prototyping tool that lets designers and PMs spin up real, clickable prototypes in minutes. In this ep he walks through: - why generic AI tools produce "blurple slop" that doesn't match your design system - how he built a full prototyping studio on top of dev boxes with cursor + cc - why more PMs than designers now use Protodash - the design review mode that lets teams ship feedback direct in the app Plus, we talk about getting to the ultimate dream: demos, not memos. ty to our sponsors! 🧠 CESAR - Intelligent automation built for AI 💻 Cursor - The best way to code with AI Full episode on yt:

While your team is just getting started vibe coding prototypes, the team at Stripe is vibe coding a full vibe coding platform. Owen Williams ⚡ is a design manager at Stripe who built Protodash - an internal AI prototyping tool that lets designers and PMs spin up real, clickable prototypes in minutes. In this ep he walks through: - why generic AI tools produce "blurple slop" that doesn't match your design system - how he built a full prototyping studio on top of dev boxes with cursor + cc - why more PMs than designers now use Protodash - the design review mode that lets teams ship feedback direct in the app Plus, we talk about getting to the ultimate dream: demos, not memos. ty to our sponsors! 🧠 CESAR - Intelligent automation built for AI 💻 Cursor - The best way to code with AI Full episode on yt:

claire vo 🖤

92,220 次观看 • 3 个月前

GT Protocol AI Digest No.86: Claude Just Leveled Up Here are five stories worth your attention 👇 🧠 Claude Opus Gets an Upgrade Anthropic released a new Opus model with stronger performance in coding and cybersecurity. The update, alongside its Mythos Preview, points toward more advanced and autonomous AI systems. 🎨 Canva Goes Full Prompt Mode Canva’s AI 2.0 update expands prompt-based editing across the entire design process. Users can now generate and modify layouts, images, and text through simple instructions. 💻 Gemini Moves to Desktop Google launched a native Gemini app for macOS, bringing AI directly into the operating system. Assistants are becoming persistent tools, not just browser features. 🧬 AI Gets Specialized in Biology OpenAI introduced a biology-focused model designed for scientific workflows. AI is moving beyond general use into domain-specific applications. ⚙️ Intel Repositions in the AI Race Intel is aligning with Google’s infrastructure strategy and exploring ties to Musk’s chip projects. The competition is shifting toward hardware and large-scale compute. Read the full digest on our Medium 👉

GT Protocol AI Digest No.86: Claude Just Leveled Up Here are five stories worth your attention 👇 🧠 Claude Opus Gets an Upgrade Anthropic released a new Opus model with stronger performance in coding and cybersecurity. The update, alongside its Mythos Preview, points toward more advanced and autonomous AI systems. 🎨 Canva Goes Full Prompt Mode Canva’s AI 2.0 update expands prompt-based editing across the entire design process. Users can now generate and modify layouts, images, and text through simple instructions. 💻 Gemini Moves to Desktop Google launched a native Gemini app for macOS, bringing AI directly into the operating system. Assistants are becoming persistent tools, not just browser features. 🧬 AI Gets Specialized in Biology OpenAI introduced a biology-focused model designed for scientific workflows. AI is moving beyond general use into domain-specific applications. ⚙️ Intel Repositions in the AI Race Intel is aligning with Google’s infrastructure strategy and exploring ties to Musk’s chip projects. The competition is shifting toward hardware and large-scale compute. Read the full digest on our Medium 👉

GT Protocol

37,782 次观看 • 3 个月前

Sarah (sarah) built a production-ready AI chatbot connected to 1,000+ apps in 10 minutes. Here's exactly what she did: •Started with Vercel's chat template •Deployed it instantly: repo + storage + production •Integrated Composio: 1,000+ apps •Connected Gmail and Slack - zero OAuth config •Demonstrated it live: bot sent Julia Fedorin a Slack message Stack: Vercel AI SDK + Next.js + Composio (1,000+ toolkits) Using Vercel AI's template + Composio lets you enable cross-app actions without spending weeks on authentication flows. If you're building AI agents, this is how you skip the boilerplate. What's your stack for shipping agents fast?

Sarah (sarah) built a production-ready AI chatbot connected to 1,000+ apps in 10 minutes. Here's exactly what she did: •Started with Vercel's chat template •Deployed it instantly: repo + storage + production •Integrated Composio: 1,000+ apps •Connected Gmail and Slack - zero OAuth config •Demonstrated it live: bot sent Julia Fedorin a Slack message Stack: Vercel AI SDK + Next.js + Composio (1,000+ toolkits) Using Vercel AI's template + Composio lets you enable cross-app actions without spending weeks on authentication flows. If you're building AI agents, this is how you skip the boilerplate. What's your stack for shipping agents fast?

Composio

27,724 次观看 • 5 个月前

Every week another AI image app hits the top charts. The window is open, but not forever. That's why I built Platano. Today it's production ready. What's inside: - Expo SDK 56 - Agent skills for setup, rebranding, adding languages, and more - Fully native iOS and Android - Material You on Android, Liquid Glass with iOS 18 fallbacks - Onboarding flow battle-tested in my AI Tattoo app (live in the App Store) - RevenueCat payments - AI editor with Nano Banana 2 - Clean architecture your agent can extend - Interactive CLI to spin it up I use this as the base for every real app I'm building now, not just AI image apps. Ship something maintainable. Validate fast. (link below)

Every week another AI image app hits the top charts. The window is open, but not forever. That's why I built Platano. Today it's production ready. What's inside: - Expo SDK 56 - Agent skills for setup, rebranding, adding languages, and more - Fully native iOS and Android - Material You on Android, Liquid Glass with iOS 18 fallbacks - Onboarding flow battle-tested in my AI Tattoo app (live in the App Store) - RevenueCat payments - AI editor with Nano Banana 2 - Clean architecture your agent can extend - Interactive CLI to spin it up I use this as the base for every real app I'm building now, not just AI image apps. Ship something maintainable. Validate fast. (link below)

Beto

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The Summer ’25 Shopify Edition is live. And this one's theme is Horizons — because this isn’t just about what we’ve built. It’s about where commerce is headed. Here are just a few highlights: - Horizon themes: 10 new AI-powered themes. No code required. Built for speed, flexibility, and full creative control. - Sidekick: Now with voice chat and screen share. Show it your screen. Ask questions. Get help in real time, right inside your admin. - POS v10: Major redesign. Custom screens and faster workflows, - Shop app: Smarter feeds. Curated Collections. Shop is becoming a real-time engine for brand discovery. And this is just a snapshot of what’s new. Welcome to Horizons.

Harley Finkelstein

37,912 次观看 • 1 年前

Tavily is now live as an official plugin in Grok Build. Bring real-time, LLM-optimized web search into your Grok Build workflows. You'll get fast results, clean content, and reliable sources built for AI applications. Type /plugin, search for Tavily, and start building.

Tavily is now live as an official plugin in Grok Build. Bring real-time, LLM-optimized web search into your Grok Build workflows. You'll get fast results, clean content, and reliable sources built for AI applications. Type /plugin, search for Tavily, and start building.

Tavily

698,867 次观看 • 17 天前

figma "god mode" just leaked.. this week i tried the future of autonomous design: claude connected directly to the figma api with full edit access.. yes it can design in figma what does it mean? you prompt, it designs. it’s like having a team of designers inside figma working with you and 10x ing your capacity why is this different? official figma ai/mcp only "reads" files to help devs. this tool (unofficial MCP) "writes" in figma to replace manual labor. hours of grinding turned into seconds of waiting imagine this: - prompt to design: generate a new screen based on your design or not - prompt to flow: generate end to end user journeys - iteration: create multiple variations in one click - design system: it can use your components to create new screens - zero click management: auto layout, component creation, deduplication handled by prompt - universal control: if you can do it in figma, it can do it for you the impact if figma officially releases this, almost every existing plugin becomes obsolete overnight it feels like figma on steroids. i’m still processing whether i feel empowered or replaced full tutorial in this article from Mark A. Cianfrani. handle with care: ai will have access to everything in figma »

figma "god mode" just leaked.. this week i tried the future of autonomous design: claude connected directly to the figma api with full edit access.. yes it can design in figma what does it mean? you prompt, it designs. it’s like having a team of designers inside figma working with you and 10x ing your capacity why is this different? official figma ai/mcp only "reads" files to help devs. this tool (unofficial MCP) "writes" in figma to replace manual labor. hours of grinding turned into seconds of waiting imagine this: - prompt to design: generate a new screen based on your design or not - prompt to flow: generate end to end user journeys - iteration: create multiple variations in one click - design system: it can use your components to create new screens - zero click management: auto layout, component creation, deduplication handled by prompt - universal control: if you can do it in figma, it can do it for you the impact if figma officially releases this, almost every existing plugin becomes obsolete overnight it feels like figma on steroids. i’m still processing whether i feel empowered or replaced full tutorial in this article from Mark A. Cianfrani. handle with care: ai will have access to everything in figma »

Aurelien

79,132 次观看 • 5 个月前