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Introducing Generative UI for Eve powered by OpenUI Building this was a real joy. Vercel has done a great job with Eve - minimal yet an elegant abstraction. I'm excited to see where it goes next but a simple filesystem based agent feels like right directionally

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Rabi Shanker Guha

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44,958 görüntüleme • 3 ay önce •via X (Twitter)

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To watch little Eve flourish has been an absolute joy. She's a very special little dog and her life has changed for the better. It feels like she knows it now too 🥰🥰
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I think Claude Design is very useful for building prototypes. I one-shotted a simple, AI-powered, gamified life-management app with a very minimal prompt. I haven't tried the slide design yet, but it looks like it could be the perfect tool for ELI5.
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I think Claude Design is very useful for building prototypes. I one-shotted a simple, AI-powered, gamified life-management app with a very minimal prompt. I haven't tried the slide design yet, but it looks like it could be the perfect tool for ELI5.

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TRENDING: #NFL free agent punter Drue Chrisman gives an inside look on what it looks like when a player goes in for a workout with a team. “Great job, but no thanks,” #Commanders team personal…
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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:
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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:

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This is where it ends for me, a happy family. Eve is gone & Ryong has his life with Byeol. I'm a bit sad but happy for them. This deserves a Guinness World Record not just for the first space sex but also the first space birth! #WhenTheStarsGossipEp16 #whenthestarsgossip #Netflix
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This is where it ends for me, a happy family. Eve is gone & Ryong has his life with Byeol. I'm a bit sad but happy for them. This deserves a Guinness World Record not just for the first space sex but also the first space birth! #WhenTheStarsGossipEp16 #whenthestarsgossip #Netflix

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Been pretty busy this spring but I’d like to thank God for my time at Tennessee and where he has my feet now. Tennessee was better than I could’ve imagined to pray for and I’m excited to see how this next chapter goes! Will always be a VFL but Boiler Up 🚂⬆️

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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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He has a number for the next leg down. Benjamin Cowen points to the realized price. Every midterm year bear market has bottomed below it. Right now that level sits around 53,000. This doesn't mean it stops there. See where it goes next 👇
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He has a number for the next leg down. Benjamin Cowen points to the realized price. Every midterm year bear market has bottomed below it. Right now that level sits around 53,000. This doesn't mean it stops there. See where it goes next 👇

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