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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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44,183 просмотров • 24 дней назад •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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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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Building a voice agent for a church. This one was an interesting experiment. Done with the medical one but I can’t share that here yet so here you go 😅.
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Building a voice agent for a church. This one was an interesting experiment. Done with the medical one but I can’t share that here yet so here you go 😅.

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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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Troy Aikman: "It's hard to say this, the defense has given up almost 300 yards of offense ... but yet Tampa Bay has done a great job defensively." And right on cue, an interception by the Bucs 😂 🏈📺
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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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AG-UI makes building agentic applications dramatically easier. Here's how it works. This is a model for a simple chatbot: User → LLM → Response But interactive agents that render UI, pause for approvals, and ask users for input need a much more complex model. When building these agents, a response from the LLM will include a series of state changes as the agent runs: • Agent started a task • Agent called a tool • Agent updated its state • Agent streams these tokens • Agent is waiting on a human • Agent is resuming the task The Agent-User Interaction Protocol (AG-UI) treats the LLM response as a stream of events rather than a text endpoint. In practice, here is what you get as an agent runs: 1. Lifecycle events so your UI knows where the agent is. 2. Text messages that stream tokens. 3. Tool calls so your UI can prefill a form with any required arguments. 4. State updates that keep your UI in sync with the agent. 5. Special events for human approvals, rich media, and custom needs. All of these events travel over standard transports (SSE, WebSockets, or plain HTTP) as JSON. As a result, you can build a frontend that stays in sync with the agent's progress without having to invent a custom process to make this happen. For example, building a human-in-the-loop workflow becomes an off-the-shelf component you can integrate rather than build from scratch. CopilotKit🪁 is the creator of AG-UI, and you can use it when building frontend applications pretty much anywhere: • React • Angular • Vue • React Native • Slack • Teams • Discord • WhatsApp • Telegram Here is the link for you to check it out: Thanks to the CopilotKit team for partnering with me on this post.

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“Originally conceived as a social experiment, the idea grew out of a wish to stimulate dialogue between two parts of the on-chain, generative art communities. Each particle cloud operates as an autonomous system governed by physics-based algorithms until paired with another instance where behavioural synchronisation emerges” entangled by 𝕭𝖏ø𝖗𝖓 𝕾𝖙𝖆𝖆𝖑 is so good, its a release I’d love to see in a physical setting one day (like in the next post). it was released with fxhash

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total honesty: i'm struggling a bit. i'm not where i wanted to be by now last year i sold a piece for a big number, and felt like it would keep going. i relaxed a little bit. things stopped i'm lucky to have work coming steadily, but it's not as much as i wanted i've been working on the same project (a big one) for 2+ years and am still not done i want to be done with it. its too good to keep sitting on in the past, i tried to work in silence and then BOOM! release a big thing. i no longer think that works i'm going to take a page from jack butcher's book and try 'building in public' for the next few weeks, see how it goes, see how it feels starting literally now below is something fun i'm working on responsive animated comic-style website 100% hand animated enjoy :)

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Magic (1978). An excellent psychological horror with great performances, slightly overlooked at the time. Anthony Hopkins is the psychologically troubled magician who goes to the Catskills on the eve of his big TV break. Yet he can't control how his ventriloquist dummy Fats behaves. Burgess Meredith is his agent who asks him a simple question: can he make Fats be quiet for five minutes?

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Jai Lucas on what makes Miami a place that can host a great basketball program "Once I got to meet the people, it was a no brainer. It's the people that make places. We had great people in building this year that made my job easy. I was blessed to have the right people, great support from administration and the fans. They really built a great foundation and its my job to keep it rolling where this time next year we're talking about going to a Sweet 16."

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