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What can be created in 48 hours?At 2026 REDHackathon, I finally found the project that makes my heart race. Most interfaces still assume you’ll go find what you need. We’re flipping that. Introducing "Attune" — a “gravity interface” where UI elements come to you. Hover. Pause. Think. → Writing...

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49,104 views • 5 months ago •via X (Twitter)

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I see a lot of negative feedback about Apple’s new UI updates. But you are missing the point. It’s not about glass effects or making every UI element transparent / shiny. It’s about liquidity, depth, and movement. UI that feels alive. We are entering a new era of interface design. What was once static, flat, and fixed is becoming dynamic, adaptive, dimensional. Flat design is over. And flat screens will be too. Sooner than you think. I think Apple’s new UI system is less about a visual update. It’s the first real step toward multimodal interfaces. Where components aren’t bound to a rigid screen but float, shift, and respond. They appear where you need them, and disappear where you don’t. It’s about removing unnecessary clutter and making human-computer interaction feel… well, more human. Just because we’ve spent the last decade staring at opaque UI components doesn’t mean it’s the optimal way to interact with computers. Sure, it’s not perfect, but it’s the first real step into a new era of UI. The future is screenless. And dynamic components are the new screens.
0:42

I see a lot of negative feedback about Apple’s new UI updates. But you are missing the point. It’s not about glass effects or making every UI element transparent / shiny. It’s about liquidity, depth, and movement. UI that feels alive. We are entering a new era of interface design. What was once static, flat, and fixed is becoming dynamic, adaptive, dimensional. Flat design is over. And flat screens will be too. Sooner than you think. I think Apple’s new UI system is less about a visual update. It’s the first real step toward multimodal interfaces. Where components aren’t bound to a rigid screen but float, shift, and respond. They appear where you need them, and disappear where you don’t. It’s about removing unnecessary clutter and making human-computer interaction feel… well, more human. Just because we’ve spent the last decade staring at opaque UI components doesn’t mean it’s the optimal way to interact with computers. Sure, it’s not perfect, but it’s the first real step into a new era of UI. The future is screenless. And dynamic components are the new screens.

Felix Haas

653,995 views • 1 year ago

.benahorowitz.eth explains why moats like code and UI may not work in the AI era: "For my entire career, the one thing that you knew about technology companies is you couldn't throw money at the problem." "With AI, that's really changed in that you can throw money at the problem because if you have enough GPUs and enough data, you can basically solve most problems right now." "The capital race becomes a real thing and you have to think through, okay, code is not really a moat the way it was in the past, and user interface isn't really a moat."
1:33

.benahorowitz.eth explains why moats like code and UI may not work in the AI era: "For my entire career, the one thing that you knew about technology companies is you couldn't throw money at the problem." "With AI, that's really changed in that you can throw money at the problem because if you have enough GPUs and enough data, you can basically solve most problems right now." "The capital race becomes a real thing and you have to think through, okay, code is not really a moat the way it was in the past, and user interface isn't really a moat."

a16z

19,416 views • 5 months ago

Why Chat-Based UI Won't Last and Browser-Based Will Prevail: Anish Acharya " Most people don't want to save time. They want to spend time. The products are designed by the most high agency people in the world, like Sam and Elon. For them, the optimal UI is a chatbox where you say exactly what you want. But for many people, they're again looking to waste time, spend time. They want browse based interface. They're not quite sure what they want. They can't always articulate it. The future of intent-based is chat makes me a little skeptical." How does the UI paradigm change in the next 12-36 months? Remain chat or change? Eugenia Kuyda scott belsky Gorkem Yurtseven Luc Levesque?
0:32

Why Chat-Based UI Won't Last and Browser-Based Will Prevail: Anish Acharya " Most people don't want to save time. They want to spend time. The products are designed by the most high agency people in the world, like Sam and Elon. For them, the optimal UI is a chatbox where you say exactly what you want. But for many people, they're again looking to waste time, spend time. They want browse based interface. They're not quite sure what they want. They can't always articulate it. The future of intent-based is chat makes me a little skeptical." How does the UI paradigm change in the next 12-36 months? Remain chat or change? Eugenia Kuyda scott belsky Gorkem Yurtseven Luc Levesque?

Harry Stebbings

37,673 views • 7 months ago

Tired of the bulky traditional guitar? Reimagining chord instruments with embedded intelligence. PG-2 A pocket guitar, built in 48 hours, at the REDHackathon. Not a mockup — something you can actually play. That kind of honest, playful craftsmanship means more than any grand vision. A compact, expressive chord controller built on ESP32-S3. Interaction design: • 6 capacitive touch strings → instant chord triggering • Analog joystick → real-time chord shaping • Rotary encoder → seamless chord group switching • Dedicated control buttons → fast navigation Under the hood: ESP32-S3 (240MHz), ES8311 audio codec (I2S), MPR121 touch sensing, WS2812 LEDs, IMU, RTC, SD storage, and MIDI-ready via UART. Low-latency, tactile, and modular — bridging hardware interaction with digital music systems. PG-2 explores a different direction: from traditional playing → programmable chord expression. Ye Bowen turned inspiration from games into reality. On rednote, people find more than just hardcore tech — there’s also innovation hiding behind every ordinary person’s interest. More young people are sharing their tech creation process — code, hardware, failures, iterations on rednote. These posts are forming high‑energy discussion zones where real technical conversations happen, not just empty likes. rednote is becoming a living lab for the next generation of geeks. rednote #redhackathon #rednote #technology #hackathon
0:37

Tired of the bulky traditional guitar? Reimagining chord instruments with embedded intelligence. PG-2 A pocket guitar, built in 48 hours, at the REDHackathon. Not a mockup — something you can actually play. That kind of honest, playful craftsmanship means more than any grand vision. A compact, expressive chord controller built on ESP32-S3. Interaction design: • 6 capacitive touch strings → instant chord triggering • Analog joystick → real-time chord shaping • Rotary encoder → seamless chord group switching • Dedicated control buttons → fast navigation Under the hood: ESP32-S3 (240MHz), ES8311 audio codec (I2S), MPR121 touch sensing, WS2812 LEDs, IMU, RTC, SD storage, and MIDI-ready via UART. Low-latency, tactile, and modular — bridging hardware interaction with digital music systems. PG-2 explores a different direction: from traditional playing → programmable chord expression. Ye Bowen turned inspiration from games into reality. On rednote, people find more than just hardcore tech — there’s also innovation hiding behind every ordinary person’s interest. More young people are sharing their tech creation process — code, hardware, failures, iterations on rednote. These posts are forming high‑energy discussion zones where real technical conversations happen, not just empty likes. rednote is becoming a living lab for the next generation of geeks. rednote #redhackathon #rednote #technology #hackathon

Tech & AI Hub

50,065 views • 5 months ago

AI instead of UI The last few years radically changed how we think about digital products & product design process in general. What we are witnessing right now is a transition where AI is no longer just a feature; it is becoming the infrastructure of interaction. For decades, UI design was rooted in the concept of “Happy Path,” a series of static, linear screens (routes from A to B) designed to funnel users toward a goal. This “one-size-fits-all” approach assumes that all users have the same mental model, which is far from the truth. The rise of AI tools like ChatGPT and Gemini is showing that we are moving into an era of Generative Interfaces. Instead of a designer pre-determining every button and menu, the interface is synthesized in real-time based on user actions. Back in 2019, Gleb Kuznetsov and I were working on the concept of morphing Interface, the idea of a UI that adapts its structure based on user intent. The great thing about this UI is that it was highly dynamic: different users saw different content/contextual actions based on their behavior. This concept was crazy in 2019, but it is highly relevant to the modern state of the product design process. And I strongly believe that it represents the future of UI design. We will move beyond the “AI chatbox" crutch Yes, many products today treat AI as a sidecar (think of Copilots or chatbots pinned to the side of a traditional dashboard), but this is a transitional phase. Why? Because adding a chat window to a 20-year-old software layout is like putting a jet engine on a horse-drawn carriage. That's why the future isn't "AI as an add-on"; it is AI as the Operating System. AI will power generative interfaces that are rooted in anticipatory design: UI won’t wait for a command; it will surface tools based on the user's current environmental context and historical behavior. This evolution changes the very nature of product design, and we will move away from designing pages/screens and toward designing systems of logic.
0:23

AI instead of UI The last few years radically changed how we think about digital products & product design process in general. What we are witnessing right now is a transition where AI is no longer just a feature; it is becoming the infrastructure of interaction. For decades, UI design was rooted in the concept of “Happy Path,” a series of static, linear screens (routes from A to B) designed to funnel users toward a goal. This “one-size-fits-all” approach assumes that all users have the same mental model, which is far from the truth. The rise of AI tools like ChatGPT and Gemini is showing that we are moving into an era of Generative Interfaces. Instead of a designer pre-determining every button and menu, the interface is synthesized in real-time based on user actions. Back in 2019, Gleb Kuznetsov and I were working on the concept of morphing Interface, the idea of a UI that adapts its structure based on user intent. The great thing about this UI is that it was highly dynamic: different users saw different content/contextual actions based on their behavior. This concept was crazy in 2019, but it is highly relevant to the modern state of the product design process. And I strongly believe that it represents the future of UI design. We will move beyond the “AI chatbox" crutch Yes, many products today treat AI as a sidecar (think of Copilots or chatbots pinned to the side of a traditional dashboard), but this is a transitional phase. Why? Because adding a chat window to a 20-year-old software layout is like putting a jet engine on a horse-drawn carriage. That's why the future isn't "AI as an add-on"; it is AI as the Operating System. AI will power generative interfaces that are rooted in anticipatory design: UI won’t wait for a command; it will surface tools based on the user's current environmental context and historical behavior. This evolution changes the very nature of product design, and we will move away from designing pages/screens and toward designing systems of logic.

Nick Babich

54,034 views • 8 months ago

I’m honestly shocked with Opus 5.5 on how easy it is to just copy people’s work and output anything, feels distopian for some things. From this tweet, I just cloned the repository and asked this: “can you create a new project with the title Evangelion that uses the same premise, but uses a song [Name of Song] from my desktop? Please all the interface needs to match this Google Search with Evangelion UI for the reactivity: [Google Search]. Add 10-15 different visualizations”. No technical instructions at all and just asking based on a Google Search, not even copying the images properly or “directing the AI” based on the previous tweet. The output after 15 minutes is great. That just makes me skeptical that engineers won’t be just replaced by creatives in many fields of web development.
3:04

I’m honestly shocked with Opus 5.5 on how easy it is to just copy people’s work and output anything, feels distopian for some things. From this tweet, I just cloned the repository and asked this: “can you create a new project with the title Evangelion that uses the same premise, but uses a song [Name of Song] from my desktop? Please all the interface needs to match this Google Search with Evangelion UI for the reactivity: [Google Search]. Add 10-15 different visualizations”. No technical instructions at all and just asking based on a Google Search, not even copying the images properly or “directing the AI” based on the previous tweet. The output after 15 minutes is great. That just makes me skeptical that engineers won’t be just replaced by creatives in many fields of web development.

Luis Bizarro

114,261 views • 9 days ago

Prediction: You’ll soon control everything from one interface 🔥 Opening different apps for different tasks feels super old school. Instead, you’ll have one interface to send emails, book flights, shop, and trigger countless services from. The apps themselves won’t disappear, but their interfaces will. Recently, I’ve been using several agents entirely through a chat. The interface is almost nonexistent, or “invisible,” you could say. But the underlying technology is more powerful than ever. Using a text interface alone won’t be enough. So I built one that is more dynamic, fluid, and visual. Here, the chat becomes the control layer, while “dynamic widgets” appear whenever you need them and disappear when the task is done. In this example, I ask my agent to plan my upcoming Japan trip, and several visual elements appear with options, prices, and dates. They help me make a decision and then get out of the way. Super easy and seamless to use. I don't think I'll ever go back to using overloaded booking platforms. And this goes far beyond travel. Instead of adapting to hundreds of different interfaces, the interface will adapt to whatever you’re trying to do. The future of interfaces is a persistent conversation surrounded by temporary, dynamic components.
1:05

Prediction: You’ll soon control everything from one interface 🔥 Opening different apps for different tasks feels super old school. Instead, you’ll have one interface to send emails, book flights, shop, and trigger countless services from. The apps themselves won’t disappear, but their interfaces will. Recently, I’ve been using several agents entirely through a chat. The interface is almost nonexistent, or “invisible,” you could say. But the underlying technology is more powerful than ever. Using a text interface alone won’t be enough. So I built one that is more dynamic, fluid, and visual. Here, the chat becomes the control layer, while “dynamic widgets” appear whenever you need them and disappear when the task is done. In this example, I ask my agent to plan my upcoming Japan trip, and several visual elements appear with options, prices, and dates. They help me make a decision and then get out of the way. Super easy and seamless to use. I don't think I'll ever go back to using overloaded booking platforms. And this goes far beyond travel. Instead of adapting to hundreds of different interfaces, the interface will adapt to whatever you’re trying to do. The future of interfaces is a persistent conversation surrounded by temporary, dynamic components.

Felix Haas

70,959 views • 1 month ago

"Maybe the right UI for AI is a generative UI." Here's my new interview with Stephen Chau featuring a live demo of Cove's ground-breaking visual AI interface that breaks free from chatbots. We had a great chat about: - Real world use cases for visual AI interfaces - Generative UI and just-in-time AI apps - How Stephen scaled Uber Eats to $25B ARR Some quotes from Stephen Chau: "In computing, we moved from the command line to graphic user interfaces. Chatbots are like the command line era of AI. What's next is this..." "Imagine the entire layout of the workspace and all its contents is something made just in time, based on what you're trying to do..." "Our goal with Uber Eats was to build a business that's the same size as the Rides business. Here's what mattered..." 📌 Watch now:
1:09

"Maybe the right UI for AI is a generative UI." Here's my new interview with Stephen Chau featuring a live demo of Cove's ground-breaking visual AI interface that breaks free from chatbots. We had a great chat about: - Real world use cases for visual AI interfaces - Generative UI and just-in-time AI apps - How Stephen scaled Uber Eats to $25B ARR Some quotes from Stephen Chau: "In computing, we moved from the command line to graphic user interfaces. Chatbots are like the command line era of AI. What's next is this..." "Imagine the entire layout of the workspace and all its contents is something made just in time, based on what you're trying to do..." "Our goal with Uber Eats was to build a business that's the same size as the Rides business. Here's what mattered..." 📌 Watch now:

Peter Yang

74,721 views • 1 year ago

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.
0:23

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.

Avi Chawla

461,550 views • 4 months ago

I hear so often from the Dommes I work with that they struggle with people online fetichizing them and simply seeing them for how sexy and beautiful they are. They project their fantasies and their desires onto you. That stops immediately once you move the attention from you to them. From 'look at me' to 'I see you'. What does that look like? When you create content, think of them and what this scene or that narrative is evoking. What will they learn from you? What they want is not to passively watch how sexy you are, but for you to train them, to give them instructions, to teach them, to guide them, to be in charge, to command them. This is not being an object but the main subject. The Authority figure. How is your content already doing that. The sexy photos can still be there, they are important to already capture des attention. But what you do with that attention once you have it, is where the power dynamic is established. Positioning yourself as more than a stunning Goddess, but actually a woman who has a voice, opinions, perspective, a philosophy, a way to doing things, teaching them what you like, how you like it, why you like it, already makes them want to be that for you. You hold the attention, you hold the power, so you direct it. And for that, you want them to know you get them and you know what lives within them... that creates the desire for you to be the one exposing it. You instantly build trust. Not because you demanded it, but because you earned it: you showed them you know what you are doing. You have experience, you understand them. They are not told to come see you, they are seduced into it. They desire it. And they will work for it. This will attract better clients (real subs) and instead of you trying to get their attention, they will work to earn yours. If you want to learn more about power dynamics, building a brand as a Pro or the psychology behind BDSM, you can now access all my trainings and classes in one place for a fraction of the cost of The Dominatrix Academy. And you can reinvest the total amount towards the Program. Message me [SECRET] for the details. This offer is not available on my website.
0:51

I hear so often from the Dommes I work with that they struggle with people online fetichizing them and simply seeing them for how sexy and beautiful they are. They project their fantasies and their desires onto you. That stops immediately once you move the attention from you to them. From 'look at me' to 'I see you'. What does that look like? When you create content, think of them and what this scene or that narrative is evoking. What will they learn from you? What they want is not to passively watch how sexy you are, but for you to train them, to give them instructions, to teach them, to guide them, to be in charge, to command them. This is not being an object but the main subject. The Authority figure. How is your content already doing that. The sexy photos can still be there, they are important to already capture des attention. But what you do with that attention once you have it, is where the power dynamic is established. Positioning yourself as more than a stunning Goddess, but actually a woman who has a voice, opinions, perspective, a philosophy, a way to doing things, teaching them what you like, how you like it, why you like it, already makes them want to be that for you. You hold the attention, you hold the power, so you direct it. And for that, you want them to know you get them and you know what lives within them... that creates the desire for you to be the one exposing it. You instantly build trust. Not because you demanded it, but because you earned it: you showed them you know what you are doing. You have experience, you understand them. They are not told to come see you, they are seduced into it. They desire it. And they will work for it. This will attract better clients (real subs) and instead of you trying to get their attention, they will work to earn yours. If you want to learn more about power dynamics, building a brand as a Pro or the psychology behind BDSM, you can now access all my trainings and classes in one place for a fraction of the cost of The Dominatrix Academy. And you can reinvest the total amount towards the Program. Message me [SECRET] for the details. This offer is not available on my website.

Ms. Malissia

17,569 views • 5 months ago

AI is REVOLUTIONIZING the way we interact with data/information I came across a tool that is going to change the way you ABSORB information It’s called Mindgrasp (Mindgrasp) It’s INCREDIBLE for learning and helps in saving hours! Features: 1. Upload any file type (up to 500 pages of PDFs, hrs of video content/files, links to open-access sites, audio files, straight copy-paste text, etc.) 2. The Q/A interface can answer any question or command based on the file that you upload. Ask questions, create summaries or bullet points, extract insights & much more! 3. Search the Web Q/A - A web Q/A that allows you to pull information from outside your uploaded source while still giving you all the references so you know exactly where the information is coming from. Know more at:
1:27

AI is REVOLUTIONIZING the way we interact with data/information I came across a tool that is going to change the way you ABSORB information It’s called Mindgrasp (Mindgrasp) It’s INCREDIBLE for learning and helps in saving hours! Features: 1. Upload any file type (up to 500 pages of PDFs, hrs of video content/files, links to open-access sites, audio files, straight copy-paste text, etc.) 2. The Q/A interface can answer any question or command based on the file that you upload. Ask questions, create summaries or bullet points, extract insights & much more! 3. Search the Web Q/A - A web Q/A that allows you to pull information from outside your uploaded source while still giving you all the references so you know exactly where the information is coming from. Know more at:

Anurag Agarwal

58,046 views • 3 years ago

Cursor CEO Michael Truell: Programming in the future might not mean programming with an AI helper, but in a new language entirely. "There is a future version of the world where the way you interact with AI is a little bit less like it's a human helper that you're delegating work to... and instead, it's a little bit more of an advance in compiler or interpreter technology." "It can lead you to a world where programming languages actually change. They can start to be a little bit more about what you want and a little bit less about how you do it." "There is a world where direct manipulation of the UI starts to play a little bit more into it." Michael Truell with Patrick Collison
1:25

Cursor CEO Michael Truell: Programming in the future might not mean programming with an AI helper, but in a new language entirely. "There is a future version of the world where the way you interact with AI is a little bit less like it's a human helper that you're delegating work to... and instead, it's a little bit more of an advance in compiler or interpreter technology." "It can lead you to a world where programming languages actually change. They can start to be a little bit more about what you want and a little bit less about how you do it." "There is a world where direct manipulation of the UI starts to play a little bit more into it." Michael Truell with Patrick Collison

a16z

92,602 views • 7 months ago

just dropped a 24-min walkthrough showing how I turn raw n8n automations into actual front-end apps that your team can use no clunky JSON files, no ugly interfaces, and no dev team required I built a clean UI for one of my n8n flows - start to finish - all in one session it’s not a polished SaaS - but it is a working MVP you can test, share, or hand off step-by-step: – mapped the UX in ChatGPT – built the UI live in Bolt – connected it to the backend automation by the end, I had a usable internal tool that felt like a real product — all without writing a single line of frontend code if you're building powerful automations but not wrapping them in UI… you’re missing half the value also dropped my full prompt stack for planning and generating UIs with Claude or ChatGPT want the prompts? comment “UI”, follow + repost and I’ll send them over (must be following so I can DM)
24:30

just dropped a 24-min walkthrough showing how I turn raw n8n automations into actual front-end apps that your team can use no clunky JSON files, no ugly interfaces, and no dev team required I built a clean UI for one of my n8n flows - start to finish - all in one session it’s not a polished SaaS - but it is a working MVP you can test, share, or hand off step-by-step: – mapped the UX in ChatGPT – built the UI live in Bolt – connected it to the backend automation by the end, I had a usable internal tool that felt like a real product — all without writing a single line of frontend code if you're building powerful automations but not wrapping them in UI… you’re missing half the value also dropped my full prompt stack for planning and generating UIs with Claude or ChatGPT want the prompts? comment “UI”, follow + repost and I’ll send them over (must be following so I can DM)

J.B.

58,287 views • 1 year ago

We are witnessing a fundamental shift in how software is built. Over the decades, UI was static and predictable. But AI is changing the fundamental nature of the interface. We are moving away from fixed UI and toward a new standard: Generative UI. Generative UI lets agents participate in the UI, not just the conversation. It’s a dynamic participant in the user experience. Depending on the complexity of your app, Generative UI generally falls into three categories: 1. Static (AG-UI): UI is chosen from a fixed set of hand-built components 2. Open-Ended (MCP Apps): agent sends arbitrary content like raw HTML or iframes for total flexibility. 3. Declarative (A2UI): agent and frontend communicate via a structured UI spec for dynamic widgets and forms. The AG-UI Protocol by CopilotKit is the real breakthrough. AG-UI acts as the universal transport layer. It provides the integrations and middleware for every Gen-UI spec, making it trivial to bring dynamic components into your existing app. CopilotKit provides the go-to ecosystem for building agentic applications and is the React client of AG-UI. It is designed to be deeply integrated, allowing developers to bring their own frameworks or protocols to the table. Play around with different types of Generative UI here → Check out the video attached to see Generative UI in action. Appreciate the CopilotKit team for collaborating with me on this deep dive.
0:33

We are witnessing a fundamental shift in how software is built. Over the decades, UI was static and predictable. But AI is changing the fundamental nature of the interface. We are moving away from fixed UI and toward a new standard: Generative UI. Generative UI lets agents participate in the UI, not just the conversation. It’s a dynamic participant in the user experience. Depending on the complexity of your app, Generative UI generally falls into three categories: 1. Static (AG-UI): UI is chosen from a fixed set of hand-built components 2. Open-Ended (MCP Apps): agent sends arbitrary content like raw HTML or iframes for total flexibility. 3. Declarative (A2UI): agent and frontend communicate via a structured UI spec for dynamic widgets and forms. The AG-UI Protocol by CopilotKit is the real breakthrough. AG-UI acts as the universal transport layer. It provides the integrations and middleware for every Gen-UI spec, making it trivial to bring dynamic components into your existing app. CopilotKit provides the go-to ecosystem for building agentic applications and is the React client of AG-UI. It is designed to be deeply integrated, allowing developers to bring their own frameworks or protocols to the table. Play around with different types of Generative UI here → Check out the video attached to see Generative UI in action. Appreciate the CopilotKit team for collaborating with me on this deep dive.

Pratham

33,920 views • 8 months ago

Happy New Year Everyone! May 2026 be the year "Christian Zionist" drop the Zionist and become so radically Christian there will be no table safe from flipping and no merchants of Sadducees safe from whipping. On a political note, may 2026 be the year we drop the political lables given to us and come together just long enough to save ourselves. On a personal note, may 2026 be the year you take back power in your life no matter how little or what that looks like. You control the outcome of your situation through your actions, inactions and reactions. We go to war grounded, centered and focused.
0:30

Happy New Year Everyone! May 2026 be the year "Christian Zionist" drop the Zionist and become so radically Christian there will be no table safe from flipping and no merchants of Sadducees safe from whipping. On a political note, may 2026 be the year we drop the political lables given to us and come together just long enough to save ourselves. On a personal note, may 2026 be the year you take back power in your life no matter how little or what that looks like. You control the outcome of your situation through your actions, inactions and reactions. We go to war grounded, centered and focused.

Shipwreck

41,532 views • 9 months ago

Introducing the Knowledge Agent Template Vercel dropped the Chat SDK so we built a full template on top of it that you can deploy in one click. Here's what's inside: • Add your sources: GitHub repos, YouTube, etc. directly from the UI • File-based agent using grep/find/cat • Powered by Vercel Workflow + Sandbox • Multi-platform: web chat, GitHub bot, Discord bot, and more • Comes with skills to edit your project, add sources, create agents Deploy, add a source, ask questions. Your knowledge base is live and always in sync. This is just scratching the surface. There's way more packed in this template, and I'll be breaking down the features all week. Links in the below 👇
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Introducing the Knowledge Agent Template Vercel dropped the Chat SDK so we built a full template on top of it that you can deploy in one click. Here's what's inside: • Add your sources: GitHub repos, YouTube, etc. directly from the UI • File-based agent using grep/find/cat • Powered by Vercel Workflow + Sandbox • Multi-platform: web chat, GitHub bot, Discord bot, and more • Comes with skills to edit your project, add sources, create agents Deploy, add a source, ask questions. Your knowledge base is live and always in sync. This is just scratching the surface. There's way more packed in this template, and I'll be breaking down the features all week. Links in the below 👇

Hugo

54,794 views • 7 months ago

While building SEV0, I ran into moments where natural language prompting just wasn't enough - too vague, too indirect. So I started using a method that bridges that gap. I call it Bridged Prompting - a technique where you temporarily step out of the prompt-response loop to manipulate something directly using an AI-generated UI, then step back in. Think of it like GenUI, but more user-driven and transient. AI generates a UI on-the-fly, tailored to your prompt, and lets you manipulate the artifact directly before resuming the conversation. Sure, you could build a full tool, switch tabs, wire it up and round-trip your data. But with Bridged Prompting, the AI just spins up a temporary interface right in the flow. In the video below, I used it to construct the hallway system to closely match the layout of the severed floor. This is something I needed to do for this one project, this one time - I didn't need to make a whole separate app. Bridged Prompting lets you: - Make precise edits visually or structurally - "Hit save" to persist changes to local storage or a backend - Return to your natural language prompt
0:05

While building SEV0, I ran into moments where natural language prompting just wasn't enough - too vague, too indirect. So I started using a method that bridges that gap. I call it Bridged Prompting - a technique where you temporarily step out of the prompt-response loop to manipulate something directly using an AI-generated UI, then step back in. Think of it like GenUI, but more user-driven and transient. AI generates a UI on-the-fly, tailored to your prompt, and lets you manipulate the artifact directly before resuming the conversation. Sure, you could build a full tool, switch tabs, wire it up and round-trip your data. But with Bridged Prompting, the AI just spins up a temporary interface right in the flow. In the video below, I used it to construct the hallway system to closely match the layout of the severed floor. This is something I needed to do for this one project, this one time - I didn't need to make a whole separate app. Bridged Prompting lets you: - Make precise edits visually or structurally - "Hit save" to persist changes to local storage or a backend - Return to your natural language prompt

Chris Tate

42,558 views • 1 year ago

Standard Intelligence's devansh responds to roon's tweet that "text is the universal interface," and explains why their new foundation model is trained on video: "At some point in the arbitrarily long future, if we only use text models, we could force most things to be text. But I think there are just a lot of things that are much more native when done from a computer-use [perspective]." "GUIs are designed for humans to use. We have this massive long tail of things on the internet that are entirely undoable by LLMs." "For example, when I do ML engineering most of my time is spent doing the grunt work of engineering. It's a lot of looking at graphs, analyzing, and comparing loss curves. You can do this in text, but it's a much larger pain than doing it in the native interface." "There's a reason humans don't interact with a computer purely through text, it would kind of suck."
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Standard Intelligence's devansh responds to roon's tweet that "text is the universal interface," and explains why their new foundation model is trained on video: "At some point in the arbitrarily long future, if we only use text models, we could force most things to be text. But I think there are just a lot of things that are much more native when done from a computer-use [perspective]." "GUIs are designed for humans to use. We have this massive long tail of things on the internet that are entirely undoable by LLMs." "For example, when I do ML engineering most of my time is spent doing the grunt work of engineering. It's a lot of looking at graphs, analyzing, and comparing loss curves. You can do this in text, but it's a much larger pain than doing it in the native interface." "There's a reason humans don't interact with a computer purely through text, it would kind of suck."

TBPN

64,699 views • 7 months ago