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"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...

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Peter Yang

201,932 subscribers

74,682 次观看 • 1 年前 •via X (Twitter)

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Peter Yang 的头像
Peter Yang1 年前

Also available via newsletter: Try Cove for free here:

The Rundown AI 的头像
The Rundown AI2 年前

AI won't replace you, but a person using AI will. Join 500,000+ readers and learn how to use AI in just 5 minutes a day (for free).

Stephen Chau 的头像
Stephen Chau1 年前

@TryCoveAI Thanks for the fun conversation @petergyang! Hope you have a good trip to Japan 😊

MondoArt 的头像
MondoArt1 年前

@TryCoveAI I was puzzling out a problem and it led me to Cove and your interview with Stephen.... oh my.

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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.
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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.

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New generative UI experiences in the Google Gemini and AI Mode in Search use Gemini 3’s multimodal understanding capabilities to make entire user interfaces for you from scratch — dynamically delivering what you need in a visual and interactive way. Google Research software engineer Yaniv Leviathan shares more about the process of building generative UI (hint: so much fun that the team couldn't stop playing with it) and how he's been using it so far.

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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.

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"The difference between AI slop and great designs is in the last 10%." Here's my new episode with Meng To where he reveals his step-by-step process to create stunning AI designs and websites. We cover how to: - Build your AI design prompt from scratch - Find great fonts, assets, and components - Add beautiful custom animations Some tips from Meng: "A lot of people don't realize that having a prompt is just not enough. You need to give AI the right templates and references." "I like to think of AI more like a tool to augment you rather than doing everything. At the end of the day, what matters is your taste." "Use sites like UI verse for buttons, 21st dev for components, and ReactBits for animations. Knowing these resources is half the battle." 📌 Watch now:

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To design for the next billions of AI users we’ll need to rethink everything! From new contexts, geographies and ways to prompt — to what interfaces we build. Thoughts like this led to a conversation with Dheemanth Reddy on, “How do we bring AI to the next 6 billion people?”

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The next computing shift is already underway — and it’s happening faster than even the people building it expected. Meta CTO Boz joins David George to talk about how the team is rooted in solving real-world problems — and how this new wave of AI is unlike any before, ushering us towards a future beyond the smartphone. Boz says AI isn’t just making things faster or cheaper, it’s making everything better. From interfaces to interaction design, AI is transforming how we build — and how we compute. For more on the future of computing, wearables, and AI-native UX, watch the full conversation with Boz and David:

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Why do we need a purpose-built blockchain for agentic payments? Because AI agents are now smart enough to operate autonomously, and they need their own rails to transact with each other. Watch the video to see what that looks like in action: A real agent, built on Kite AI, helped our CTO Scott Shi - e/acc order lunch from Uber Eats fully on its own. It explored menu options, made the choice, and completed the payment - all without human intervention. This marks the beginning of agentic commerce and the future of agentic payments - and Kite AI is building this.

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🚨HOSTILE TAKEOVER ALERT 🚨 has acquired to build the most powerful AI meme cOnglOmeRaTe on the planet. Founder P.E. Cooper 🇺🇸 will be joining the memelord army. AI is a deadly weapon for memelords. Use AI badly, you shoot yourself (and your reputation) Use AI right, you make millions of people laugh and are a master of the internet. AI is just one weapon in a good memelord's arsenal. We aim to build the best keyboard gun in history. We live in the best time in history to be funny. Thanks to the internet, a funny person can make millions of people laugh with 1 meme or video. Never before was this possible. AI exponentially increases this. If you're a terminally online funny person, this is your time. You were made for this era. It's just the beginning of AI memes.

Jason Levin is hiring you 🫵

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"Prototypes are fast becoming the gold standard for design and product artifacts." Here's my new episode with David Kossnick 🇮🇱 (Head of AI Products at Figma) with an inside look at Figma's new AI prototyping tool. We had a great chat about: - Make's unique visual editing features - 4 types of evals to improve Make's output - How Figma learned from its past AI launches David also shared the best way for PMs and designers to navigate the "maze of choice" to build useful AI products. 📌 Watch now:

Peter Yang

39,816 次观看 • 1 年前

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We asked David Hsu (founder of Retool) about new AI use cases. "The US has invested $1-1.5T into AI, but revenue is only $20-30B. That's a crappy 3% ROI." "My guess is 80% of that revenue is ChatGPT + cloud. But chat is pretty limited, is it going to grow 30x from where we are now?" "Can we figure out some LLM uses cases beyond just chat? What we think is missing is leveraging LLMs to automate labor." "What we're here to really solve is, can we actually allow LLMs to do things in your business (like approving orders or plans). The next frontier for AI is AI that actually does things." "I think we're almost there. That's what we are working on."

TBPN

86,230 次观看 • 1 年前

It's time to get out of stealth 👋 Today, we are launching Monogram and announcing our $40m seed round led by DST and Lux Capital. Monogram is the first AI app that was built around a visual interface, from the ground up. We created a technology that generates an entire user interface on the fly, in just a few seconds. Ask anything, and instead of staring at a wall of text, you get an interactive visual response.
4:08

It's time to get out of stealth 👋 Today, we are launching Monogram and announcing our $40m seed round led by DST and Lux Capital. Monogram is the first AI app that was built around a visual interface, from the ground up. We created a technology that generates an entire user interface on the fly, in just a few seconds. Ask anything, and instead of staring at a wall of text, you get an interactive visual response.

Eren Bali

1,272,517 次观看 • 11 天前

The AI business model is undergoing a transformation. For the last few years, the playbook was simple: put an AI wrapper on a SaaS product and sell it by the seat. That era is ending. The new wave of AI companies are moving beyond simple subscriptions and embracing a more sophisticated approach tied directly to value creation. Here’s what’s changing: 💰 From Seats to Spend: The most forward-thinking companies are shifting to usage-based and outcome-driven pricing. Think less about how many people use the AI and more about what the AI does. This includes new revenue streams like "agentic checkout" on ChatGPT, where AI agents complete purchases and transactions directly within a chat interface. The closer the AI is to the dollar, the more value it captures. 🎙️ From Text to Voice & Video: The interface for AI is becoming more human. Voice is mainstream (Sierra for support, Listen Labs for market research). The next frontier is video, where AI will see, understand, and interact with the world in real-time. The keyboard is no longer the only way to talk to a machine. 🤖 From Advisors to Actors: Early AI copilots gave advice. The next generation takes action. These agents aren't just suggesting what to do; they are executing complex workflows that directly impact the metrics that matter: boosting conversion, reducing average handle time (AHT), improving NPS, and cutting churn. This is about moving from passive assistance to active problem-solving. The common thread? A relentless focus on tangible ROI. We’re incredibly bullish on founders who understand this shift and are building companies that align their success with the success of their customers. The future of AI isn't just about intelligence; it's about impact.
1:28

The AI business model is undergoing a transformation. For the last few years, the playbook was simple: put an AI wrapper on a SaaS product and sell it by the seat. That era is ending. The new wave of AI companies are moving beyond simple subscriptions and embracing a more sophisticated approach tied directly to value creation. Here’s what’s changing: 💰 From Seats to Spend: The most forward-thinking companies are shifting to usage-based and outcome-driven pricing. Think less about how many people use the AI and more about what the AI does. This includes new revenue streams like "agentic checkout" on ChatGPT, where AI agents complete purchases and transactions directly within a chat interface. The closer the AI is to the dollar, the more value it captures. 🎙️ From Text to Voice & Video: The interface for AI is becoming more human. Voice is mainstream (Sierra for support, Listen Labs for market research). The next frontier is video, where AI will see, understand, and interact with the world in real-time. The keyboard is no longer the only way to talk to a machine. 🤖 From Advisors to Actors: Early AI copilots gave advice. The next generation takes action. These agents aren't just suggesting what to do; they are executing complex workflows that directly impact the metrics that matter: boosting conversion, reducing average handle time (AHT), improving NPS, and cutting churn. This is about moving from passive assistance to active problem-solving. The common thread? A relentless focus on tangible ROI. We’re incredibly bullish on founders who understand this shift and are building companies that align their success with the success of their customers. The future of AI isn't just about intelligence; it's about impact.

Konstantine Buhler

24,868 次观看 • 9 个月前

Ai Day last week was a blast! I had a great time presenting alongside many colleagues from InstaDeep and BioNTech SE, some of our ongoing Bio+AI initiatives. We made several announcements, introducing Kyber, our new supercomputing cluster (more on this soon), as well as BFN, our new paradigm for generative AI, with competitive results on protein and antibody generation. During Ai Day we also delivered two live demos of Laila, our new AI agent, including one from BioNTech's TechLab in Mainz, Germany! To our knowledge, this was one of the first demos of its kind featuring a GPT-4 level AI agent acting in the Lab, interacting with scientists and technicians and helping them enhance their productivity! Ai Day was a significant moment for all of us, and it was exciting to see both the event and Laila featured by several publications including Financial Times ( Curious to see it in action? Check out the recording of the Laila in the Lab demo below, worth watching and don't miss the end! 😉
6:30

Ai Day last week was a blast! I had a great time presenting alongside many colleagues from InstaDeep and BioNTech SE, some of our ongoing Bio+AI initiatives. We made several announcements, introducing Kyber, our new supercomputing cluster (more on this soon), as well as BFN, our new paradigm for generative AI, with competitive results on protein and antibody generation. During Ai Day we also delivered two live demos of Laila, our new AI agent, including one from BioNTech's TechLab in Mainz, Germany! To our knowledge, this was one of the first demos of its kind featuring a GPT-4 level AI agent acting in the Lab, interacting with scientists and technicians and helping them enhance their productivity! Ai Day was a significant moment for all of us, and it was exciting to see both the event and Laila featured by several publications including Financial Times ( Curious to see it in action? Check out the recording of the Laila in the Lab demo below, worth watching and don't miss the end! 😉

Karim Beguir

16,528 次观看 • 1 年前

I've been building a "front page" for Toad (my terminal UI for agentic coding). This will the first page the user will see if they run "toad" from the command line without additional arguments. For here they can browse / search for agents and install directly from the command line. There are 10 agent supported so far, with more being added all the time. I also see this is a place to install other more specialized AI tools in addition to agentic coding. Check out the video! #toad #AI
1:24

I've been building a "front page" for Toad (my terminal UI for agentic coding). This will the first page the user will see if they run "toad" from the command line without additional arguments. For here they can browse / search for agents and install directly from the command line. There are 10 agent supported so far, with more being added all the time. I also see this is a place to install other more specialized AI tools in addition to agentic coding. Check out the video! #toad #AI

Will McGugan

35,626 次观看 • 8 个月前

Have been digging deeper into the AI influencer studio from Higgsfield. If you're building AI tools you should take note here. It's so... easy. Bing bang boom 'influencer'. AI has an accessibility issue, not in a WCAG way, in a 'IDFK what to prompt' way. The character creation UI dropping right into Kling motion control... the prompt field is borderline hidden. This is all visual, I didn't type a single character. Normal people don't know how to prompt. If you're making generative AI tools for normal people to use - start with the training wheels before you show them the BMX track.
0:42

Have been digging deeper into the AI influencer studio from Higgsfield. If you're building AI tools you should take note here. It's so... easy. Bing bang boom 'influencer'. AI has an accessibility issue, not in a WCAG way, in a 'IDFK what to prompt' way. The character creation UI dropping right into Kling motion control... the prompt field is borderline hidden. This is all visual, I didn't type a single character. Normal people don't know how to prompt. If you're making generative AI tools for normal people to use - start with the training wheels before you show them the BMX track.

willie

15,085 次观看 • 5 个月前

Seeing the amazing new SMERF technology immediately made me imagine a time when we can walk around in environments like this, styled to be anything we can imagine. All happening in realtime, shaped with voice prompts or virtual paint or sculpt marks. Here's a test of using some of the SMERF demo scenes to drive a generative AI image stream in Krea.. incredible! It's like seeing the world through a new camera lens of imagination. I'll post a link to the incredible SMERF paper by Daniel Duckworth and his colleagues below.. what a time to be alive! #ai #art
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Seeing the amazing new SMERF technology immediately made me imagine a time when we can walk around in environments like this, styled to be anything we can imagine. All happening in realtime, shaped with voice prompts or virtual paint or sculpt marks. Here's a test of using some of the SMERF demo scenes to drive a generative AI image stream in Krea.. incredible! It's like seeing the world through a new camera lens of imagination. I'll post a link to the incredible SMERF paper by Daniel Duckworth and his colleagues below.. what a time to be alive! #ai #art

Martin Nebelong

36,302 次观看 • 2 年前