Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Websites should have personalized UIs for every single user, not the same UI for everyone (with Magnus Müller from Browser Use) - Legacy systems (like banks) are already being reimagined with better UIs that fill out the ugly backend forms automatically - First-time Photoshop users face overwhelming interfaces that... show more

Shane Thomas

4,355 subscribers

15,260 views • 1 year ago •via X (Twitter)

Education Science & Technology

Anya Rossi• Live Now

Private livecam show

11 Comments

Shane Thomas1 year ago

@browser_use While you are here, give Mastra and Browser Use a⭐️ on Github: /

UserInterface2 years ago

Unveiling the Future of Prompt Engineering for Better AI Interactions #tech

Chad Byers 🦍1 year ago

@mamagnus00 @browser_use Legend

Abhi Aiyer1 year ago

@mastra_ai @mamagnus00 @browser_use Because we are BrowserUse. @mamagnus00

pritam1 year ago

@mamagnus00 @browser_use Interesting to come across this! At @fibr_ai our vision is exactly this, you can read more here Always open to collaborate to make this reality :)

Cyrus (The Prompt Doctor ↑↑↑)1 year ago

@mamagnus00 @browser_use @jrysana 👀

ArtiTalisman1 year ago

@mamagnus00 @browser_use Have been saying this for months

0xGoku1 year ago

@mamagnus00 @browser_use Magnus is chad

imad taieb1 year ago

@mamagnus00 @browser_use Yep, the way to go. "Adaptive UI" as a term makes more sense

Shane Thomas1 year ago

@mamagnus00 @browser_use I like that.

Saeedreza1 year ago

@mamagnus00 @browser_use Sure but how would you do that?

Related Videos

THIS GUY GOT TIRED OF BROWSING MUSEUM WEBSITES ONE BY ONE SO HE VIBE CODED AN APP THAT COMBINES THEM ALL pulls artwork data from open museum APIs into one place instead of opening 10 different museum websites with 10 different UIs, you browse everything in one immersive experience 4 museums so far, and its still early but the UI is clean and the concept is something that should have existed years ago all vibe coded with claude code and in only a few prompts which is crazy

THIS GUY GOT TIRED OF BROWSING MUSEUM WEBSITES ONE BY ONE SO HE VIBE CODED AN APP THAT COMBINES THEM ALL pulls artwork data from open museum APIs into one place instead of opening 10 different museum websites with 10 different UIs, you browse everything in one immersive experience 4 museums so far, and its still early but the UI is clean and the concept is something that should have existed years ago all vibe coded with claude code and in only a few prompts which is crazy

Om Patel

31,514 views • 5 months ago

Aravind Srinivas's hypothesis on how advertising works with AI agents is quite interesting. Aravind explains, Instead of showing ads to humans directly, advertisements would be targeted at AI agents that work on users' behalf. Users never see ads, they simply tell their AI agents what they need for eg if he gave, "I'm going to go to Rambagh for two nights, plan my schedule, do my bookings" In the backend, Multiple vendors compete for the agent's attention & companies bid for the agent's consideration. So everything happens at the AI level. Agents can also use more compute power to analyse offer to find out advertising attempts & make decisions based on user preferences. Also users can instruct their agents to ignore certain brands , this will remain confidential to between the agent & the user. This creates new revenue streams for AI companies & gives a better user experience.

Aravind Srinivas's hypothesis on how advertising works with AI agents is quite interesting. Aravind explains, Instead of showing ads to humans directly, advertisements would be targeted at AI agents that work on users' behalf. Users never see ads, they simply tell their AI agents what they need for eg if he gave, "I'm going to go to Rambagh for two nights, plan my schedule, do my bookings" In the backend, Multiple vendors compete for the agent's attention & companies bid for the agent's consideration. So everything happens at the AI level. Agents can also use more compute power to analyse offer to find out advertising attempts & make decisions based on user preferences. Also users can instruct their agents to ignore certain brands , this will remain confidential to between the agent & the user. This creates new revenue streams for AI companies & gives a better user experience.

Aish

590,837 views • 1 year 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.

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

53,581 views • 7 months ago

New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, forms, and whiteboards, generated on demand and displayed right in the chat. This short course is built in partnership with CopilotKit🪁 and taught by Atai Barkai, co-founder of CopilotKit. You'll learn three approaches: Your agent can pick from custom components you build, like charts and forms. It can compose new layouts from a set of building blocks you provide, like rows, cards, and text. Or it can incorporate existing third-party apps, like a whiteboard or a calendar, right inside the conversation. Skills you’ll gain: - Build agents that render custom components like charts and forms on demand - Build an app where the agent and user collaborate on shared data, beyond just the chat window - Place third-party apps like maps, calendars, and whiteboards right in your interface Join and build agents that give users something to see and act on!

New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, forms, and whiteboards, generated on demand and displayed right in the chat. This short course is built in partnership with CopilotKit🪁 and taught by Atai Barkai, co-founder of CopilotKit. You'll learn three approaches: Your agent can pick from custom components you build, like charts and forms. It can compose new layouts from a set of building blocks you provide, like rows, cards, and text. Or it can incorporate existing third-party apps, like a whiteboard or a calendar, right inside the conversation. Skills you’ll gain: - Build agents that render custom components like charts and forms on demand - Build an app where the agent and user collaborate on shared data, beyond just the chat window - Place third-party apps like maps, calendars, and whiteboards right in your interface Join and build agents that give users something to see and act on!

Andrew Ng

214,564 views • 4 months 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:

"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

TESTNET UI LAUNCH We’re excited to announce the launch of our Testnet UI. Since the first Testnet release in April, builders have been testing the core backend. Today, it’s your turn. users can now buy nBTC with Sui directly through our brand new UI And thats not all.... Soon, you’ll be able to use that nBTC directly on the dashboard with integrated DeFi strategies. Alpha: lucky users who interact with Testnet will earn WL slots for our upcoming NFT drop (instructions are in the UI) Let’s try it out:

Native | Bitcoin Yield Hub🐝 「🦑」

249,097 views • 1 year ago

Introducing Slashspace✨ A canvas first agentic harness for power AI users. We are trying to replace all UIs with one interface for the AI era. For the past 18 months i've been building this and it's finally taking shape towards being the ultimate AI interface for a power AI user. We iterated on the canvas experience many times. Started as RabbitHoles AI with node based conversations. Slashspace is now evolving towards canvas-as-context app - The nodes are all agentic, and you don't need to draw connections and do the manual work. Today we're launching on Product Hunt 😸, and your support will mean a lot! As a solo bootstrapped founder, I've invested a lot into this product, so please show some love! 👀 Some feature highlights • Canvas with multi model, multi modal chats. • Local storage with all canvases stored in your folder system • Agentic nodes that can see all the context on the canvas. • Connect to Cursor sdk and use the cursor's harness locally, but chat on the canvas • Access to all the Composio supported tools on the canvas. s/o KP for hunting our PH launch. s/o to Tibo, Tony Dinh, David & HRG gang for forcing the clarity out of me on repositioning the product

Introducing Slashspace✨ A canvas first agentic harness for power AI users. We are trying to replace all UIs with one interface for the AI era. For the past 18 months i've been building this and it's finally taking shape towards being the ultimate AI interface for a power AI user. We iterated on the canvas experience many times. Started as RabbitHoles AI with node based conversations. Slashspace is now evolving towards canvas-as-context app - The nodes are all agentic, and you don't need to draw connections and do the manual work. Today we're launching on Product Hunt 😸, and your support will mean a lot! As a solo bootstrapped founder, I've invested a lot into this product, so please show some love! 👀 Some feature highlights • Canvas with multi model, multi modal chats. • Local storage with all canvases stored in your folder system • Agentic nodes that can see all the context on the canvas. • Connect to Cursor sdk and use the cursor's harness locally, but chat on the canvas • Access to all the Composio supported tools on the canvas. s/o KP for hunting our PH launch. s/o to Tibo, Tony Dinh, David & HRG gang for forcing the clarity out of me on repositioning the product

Praneeth Pike

49,259 views • 3 months ago

Introducing: VibeFlow UI (VibeFlow (YC S25)) design systems. Generate UIs that actually look like YOUR brand. We got tired of AI design tools outputting anonymous slop. So we gave the model your real design system. > Paste any URL → get your full design system in 30s > Exportable as a skill for any agent > Dashboards, slide decks, landing pages, all on-brand > Set it once → every future UI uses your system I challenge anyone to paste a URL and get a bad result. Haven't seen one yet. 🔥

Alessia

14,591 views • 4 months ago

Microsoft Teams just got Generative UI But this is just the tip of the iceberg. AG-UI is the protocol connecting any agent to any user on any app, topped with Generative UI. That means your agent can render: - forms - buttons - charts - approval flows Right inside the chat, on the fly. But it's not limited to in-app copilots. What's special is that you can work with any agent using the same system and bring them into any surface, including Slack, WhatsApp, Discord and more. This is exactly why Hermes and OpenClaw took off. As users of these agents, we don't like walls of text, and it's a pain to get when you can have way better UX. CopilotKit🪁 + AG-UI handle that interaction layer. If you want to try out Agentic UI in Microsoft Teams, you can get early access here:

Microsoft Teams just got Generative UI But this is just the tip of the iceberg. AG-UI is the protocol connecting any agent to any user on any app, topped with Generative UI. That means your agent can render: - forms - buttons - charts - approval flows Right inside the chat, on the fly. But it's not limited to in-app copilots. What's special is that you can work with any agent using the same system and bring them into any surface, including Slack, WhatsApp, Discord and more. This is exactly why Hermes and OpenClaw took off. As users of these agents, we don't like walls of text, and it's a pain to get when you can have way better UX. CopilotKit🪁 + AG-UI handle that interaction layer. If you want to try out Agentic UI in Microsoft Teams, you can get early access here:

Atai Barkai

24,891 views • 2 months ago

Destra Network| One-Click Decentralized Hosting - Upgrade: v0.2 Today, we are excited to launch version 0.2 of Destra Decentralized Web Hosting, which introduces multiple enhancements and upgrades over the existing v0.1. Here's a detailed breakdown of the updates and features in v0.2: - Enhanced UI/UX: Based on community feedback, we've made significant design improvements to the user interface and user experience. The UI is now more user-friendly and comprehensive compared to v0.1. - Live Deployment Previews: Users can now view and monitor websites they've deployed on Destra Decentralized Web Hosting in real-time. Additionally, there's functionality to check the health of deployments on the Destra Network. -Destra DNS Management: Version 0.2 introduces a UI for Destra DNS management, including the ability to manage DNS zone records. - ENS Domains Management UI: The v0.2 update includes a user interface for managing ENS domains, enhancing control and accessibility, the functionality will be going live in next performance upgrade. The video attached below demonstrates the process.

Destra Network| One-Click Decentralized Hosting - Upgrade: v0.2 Today, we are excited to launch version 0.2 of Destra Decentralized Web Hosting, which introduces multiple enhancements and upgrades over the existing v0.1. Here's a detailed breakdown of the updates and features in v0.2: - Enhanced UI/UX: Based on community feedback, we've made significant design improvements to the user interface and user experience. The UI is now more user-friendly and comprehensive compared to v0.1. - Live Deployment Previews: Users can now view and monitor websites they've deployed on Destra Decentralized Web Hosting in real-time. Additionally, there's functionality to check the health of deployments on the Destra Network. -Destra DNS Management: Version 0.2 introduces a UI for Destra DNS management, including the ability to manage DNS zone records. - ENS Domains Management UI: The v0.2 update includes a user interface for managing ENS domains, enhancing control and accessibility, the functionality will be going live in next performance upgrade. The video attached below demonstrates the process.

Destra Network

29,327 views • 2 years ago

today on a call with se i learnt that fomo does not use AI to automate their daily notifications and they actually do their daily digest by hand. allegedly due to the heavy nuance of markets data. so here's my public pitch for clawpump to undertake this solvable problem, which we solved for 10K users and have informed over $120M of trading volume. our agents auto-learn by default, the more our builders or traders use our platform, they solidify lessons on procedure for trading and permissions based on markets, preferences, style of questions, and levered tools they engage with such that they improve daily. we've solved this issue on a scalable manner for each individual user. we can reuse this same market data for: - Daily Digests of Market Conditions - Agentic Token Summaries/Token Information - Personalized Daily Summaries for all fomo users (which we have live on production at clawpump) would love to chat. feel free to DM me :)

today on a call with se i learnt that fomo does not use AI to automate their daily notifications and they actually do their daily digest by hand. allegedly due to the heavy nuance of markets data. so here's my public pitch for clawpump to undertake this solvable problem, which we solved for 10K users and have informed over $120M of trading volume. our agents auto-learn by default, the more our builders or traders use our platform, they solidify lessons on procedure for trading and permissions based on markets, preferences, style of questions, and levered tools they engage with such that they improve daily. we've solved this issue on a scalable manner for each individual user. we can reuse this same market data for: - Daily Digests of Market Conditions - Agentic Token Summaries/Token Information - Personalized Daily Summaries for all fomo users (which we have live on production at clawpump) would love to chat. feel free to DM me :)

bunny

12,158 views • 1 month ago

Software for Agents Aaron Epstein The next trillion users on the internet won't be people. They'll be AI agents, and they're already doing real work on top of software that was designed for humans clicking buttons. Every major category of software needs to be rebuilt for agents as first-class citizens, and that won't come from incumbents.

Software for Agents Aaron Epstein The next trillion users on the internet won't be people. They'll be AI agents, and they're already doing real work on top of software that was designed for humans clicking buttons. Every major category of software needs to be rebuilt for agents as first-class citizens, and that won't come from incumbents.

Y Combinator

500,782 views • 4 months ago

Robinhood already has the audience Ansem views Robinhood's existing user base as the key variable behind the chain's potential. "If they figure out a way for the Robinhood app users to be more active on the Robinhood chain..." "They have like the same amount of user base and they're also degens." "The Robinhood people made a ton of money on Dogecoin." Coinbase had a massive distribution advantage through its main app, yet Base required a separate effort to turn that audience into active onchain users. Robinhood starts with a user base already familiar with trading and speculation. Its retail audience also experienced one of crypto's biggest meme cycles through Dogecoin, creating an existing connection between the platform and onchain style trading. If Robinhood can convert that existing trading behavior into activity on its own chain, the network could gain a powerful distribution advantage from day one. The chain already has access to the audience. The real opportunity is turning that audience into onchain users. w/ Ansem 🐂🀄️

Robinhood already has the audience Ansem views Robinhood's existing user base as the key variable behind the chain's potential. "If they figure out a way for the Robinhood app users to be more active on the Robinhood chain..." "They have like the same amount of user base and they're also degens." "The Robinhood people made a ton of money on Dogecoin." Coinbase had a massive distribution advantage through its main app, yet Base required a separate effort to turn that audience into active onchain users. Robinhood starts with a user base already familiar with trading and speculation. Its retail audience also experienced one of crypto's biggest meme cycles through Dogecoin, creating an existing connection between the platform and onchain style trading. If Robinhood can convert that existing trading behavior into activity on its own chain, the network could gain a powerful distribution advantage from day one. The chain already has access to the audience. The real opportunity is turning that audience into onchain users. w/ Ansem 🐂🀄️

Kaiz 🐂🀄️

24,658 views • 21 days ago

Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.

Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.

Zeb Evans

320,863 views • 8 months ago

Here’s a sneak peek at the upcoming Prefab Preview UI element which will be included in this week’s pre-release (Update 5, Part 7)! 👀 As you can see from the clip, there is full mouse-controlled rotation, tilt, zoom, and pan. It can also be configured for custom server UIs! Lots of amazing opportunities for this! Everything from cosmetic builds/map previews for minigames, RTS buildings in menus, etc. We genuinely can’t wait to see what modders and server owners do with this tool! #Hytale

Here’s a sneak peek at the upcoming Prefab Preview UI element which will be included in this week’s pre-release (Update 5, Part 7)! 👀 As you can see from the clip, there is full mouse-controlled rotation, tilt, zoom, and pan. It can also be configured for custom server UIs! Lots of amazing opportunities for this! Everything from cosmetic builds/map previews for minigames, RTS buildings in menus, etc. We genuinely can’t wait to see what modders and server owners do with this tool! #Hytale

Hytale

153,719 views • 4 months 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.

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 • 7 months ago

We are excited to announce OctoMCP (beta) — our Solana Programs Model Context Protocol (MCP) that allows anyone to build, test, and deploy Solana programs within minutes. Solana With OctoMCP, users can easily download all essential files including idl.json (for frontend integration), program .so (for deployment), and the full source code. After that, you can generate a custom UI using just a couple of prompts. In the coming days, we’ll be releasing detailed tutorials on how to use OctoMCP and the UI generator to quickly build powerful Solana programs and dApps. We’ll also be hosting dApp Generation Competitions, where users can showcase their creativity and win exciting rewards. Huge thanks to the boltdiy team for making the Stackblitz open-source version — our UI generator is built on top of boltdiy.

We are excited to announce OctoMCP (beta) — our Solana Programs Model Context Protocol (MCP) that allows anyone to build, test, and deploy Solana programs within minutes. Solana With OctoMCP, users can easily download all essential files including idl.json (for frontend integration), program .so (for deployment), and the full source code. After that, you can generate a custom UI using just a couple of prompts. In the coming days, we’ll be releasing detailed tutorials on how to use OctoMCP and the UI generator to quickly build powerful Solana programs and dApps. We’ll also be hosting dApp Generation Competitions, where users can showcase their creativity and win exciting rewards. Huge thanks to the boltdiy team for making the Stackblitz open-source version — our UI generator is built on top of boltdiy.

OctonetAI

434,501 views • 1 year ago

Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:

Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:

Atai Barkai

11,997 views • 7 months ago