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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 görüntüleme • 1 yıl önce •via X (Twitter)

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Shane Thomas profil fotoğrafı

Shane Thomas1 yıl önce

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

UserInterface profil fotoğrafı

UserInterface2 yıl önce

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

Chad Byers 🦍 profil fotoğrafı

Chad Byers 🦍1 yıl önce

@mamagnus00 @browser_use Legend

Abhi Aiyer profil fotoğrafı

Abhi Aiyer1 yıl önce

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

pritam profil fotoğrafı

pritam1 yıl önce

@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 ↑↑↑) profil fotoğrafı

Cyrus (The Prompt Doctor ↑↑↑)1 yıl önce

@mamagnus00 @browser_use @jrysana 👀

ArtiTalisman profil fotoğrafı

ArtiTalisman1 yıl önce

@mamagnus00 @browser_use Have been saying this for months

0xGoku profil fotoğrafı

0xGoku1 yıl önce

@mamagnus00 @browser_use Magnus is chad

imad taieb profil fotoğrafı

imad taieb1 yıl önce

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

Shane Thomas profil fotoğrafı

Shane Thomas1 yıl önce

@mamagnus00 @browser_use I like that.

Saeedreza profil fotoğrafı

Saeedreza1 yıl önce

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

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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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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.

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434,501 görüntüleme • 1 yıl önce

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 görüntüleme • 5 ay önce

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)

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.

58,236 görüntüleme • 1 yıl önce

Robinhood Chain could become the next billion-dollar meme ecosystem. The reason is simple Every successful ecosystem in crypto was never built around a single meme coin pumping. It was built around the users, attention, and ecosystem effects that memes created. $BRETT once reached a $2B market cap and became one of the most iconic memes in the Base ecosystem. It helped Base attract massive attention, users, and liquidity. Solana followed a similar path. Over the past few years, meme coins became one of Solana’s strongest user acquisition channels. further proved that speculation can be transformed into massive on-chain user growth. Almost every successful ecosystem has gone through a meme-driven growth phase. And Robinhood Chain happens to have several unique advantages: First, it has Robinhood’s distribution power with tens of millions of traditional finance users. Second, Robinhood is building around RWA and tokenized stocks, which requires bringing more users on-chain. Third, memes could become the lowest-friction entry point connecting traditional finance users with the crypto world. Robinhood’s CEO said: “While we’re building Robinhood Chain to be the best chain for RWA… it works great for memes too.” Many people see this as just a casual comment. But I think it reveals Robinhood’s deeper product strategy. Because RWA is unlikely to be the reason users enter crypto for the first time. Very few people will download a wallet and learn how bridges work just to buy a tokenized stock. But a viral meme can become the first interaction that brings users on-chain. Once users enter the ecosystem, they can gradually explore stablecoins, RWA, tokenized stocks, and other on-chain products. If Robinhood can replicate the Base and Solana playbook, Robinhood Chain could become the catalyst for the next major meme wave in crypto.

Robinhood Chain could become the next billion-dollar meme ecosystem. The reason is simple Every successful ecosystem in crypto was never built around a single meme coin pumping. It was built around the users, attention, and ecosystem effects that memes created. $BRETT once reached a $2B market cap and became one of the most iconic memes in the Base ecosystem. It helped Base attract massive attention, users, and liquidity. Solana followed a similar path. Over the past few years, meme coins became one of Solana’s strongest user acquisition channels. further proved that speculation can be transformed into massive on-chain user growth. Almost every successful ecosystem has gone through a meme-driven growth phase. And Robinhood Chain happens to have several unique advantages: First, it has Robinhood’s distribution power with tens of millions of traditional finance users. Second, Robinhood is building around RWA and tokenized stocks, which requires bringing more users on-chain. Third, memes could become the lowest-friction entry point connecting traditional finance users with the crypto world. Robinhood’s CEO said: “While we’re building Robinhood Chain to be the best chain for RWA… it works great for memes too.” Many people see this as just a casual comment. But I think it reveals Robinhood’s deeper product strategy. Because RWA is unlikely to be the reason users enter crypto for the first time. Very few people will download a wallet and learn how bridges work just to buy a tokenized stock. But a viral meme can become the first interaction that brings users on-chain. Once users enter the ecosystem, they can gradually explore stablecoins, RWA, tokenized stocks, and other on-chain products. If Robinhood can replicate the Base and Solana playbook, Robinhood Chain could become the catalyst for the next major meme wave in crypto.

Shawn

61,477 görüntüleme • 19 gün önce