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I agree that agents integrated into team environments is the next paradigm in LLM UIUX but I'd take it a step further and argue that you shouldn't have to even tag your agent. Agents should be smart enough to know when to do work, just like a human.

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56,768 görüntüleme • 2 ay önce •via X (Twitter)

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ClickUp now employs over 100,000 AI AGENTS for our customers. This is from just THREE WEEKS of customers vibe coding full-blown teams of agents, THEMSELVES. BUT there's a problem. Since Super Agents are built agnostically, horizontally, and deeply capable with human-level abilities, you can literally build an agent for anything. We found that MOST of our customers have NO CLUE where to start. This is their very FIRST TIME EVER managing an agent. What I recommend is starting with a PROBLEM. Everybody can think of a problem they have. Just tell Super Agent Builder about your problems... about where you're WASTING time... about what you WISH you could do but you can't because of resource constraints. We've also found that human FEEDBACK and iteration are KEY. After agents are done with their jobs, give them feedback... Was it good? Was it bad? What do you want to see differently? They AUTOMATICALLY SELF-IMPROVE. Every time, they'll continuously get SMARTER. Personally, I find that agents go from AVERAGE intelligence to SUPER-human intelligence within about a month of working with them. Super Agents have truly democratized productivity, empowering literally anyone to build personalized, powerful agents in minutes. What problems do you wish you could solve? What do you not have enough time to get done? What would you like to do but don't have the resources for? What busy work do you wish you could get rid of?
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ClickUp now employs over 100,000 AI AGENTS for our customers. This is from just THREE WEEKS of customers vibe coding full-blown teams of agents, THEMSELVES. BUT there's a problem. Since Super Agents are built agnostically, horizontally, and deeply capable with human-level abilities, you can literally build an agent for anything. We found that MOST of our customers have NO CLUE where to start. This is their very FIRST TIME EVER managing an agent. What I recommend is starting with a PROBLEM. Everybody can think of a problem they have. Just tell Super Agent Builder about your problems... about where you're WASTING time... about what you WISH you could do but you can't because of resource constraints. We've also found that human FEEDBACK and iteration are KEY. After agents are done with their jobs, give them feedback... Was it good? Was it bad? What do you want to see differently? They AUTOMATICALLY SELF-IMPROVE. Every time, they'll continuously get SMARTER. Personally, I find that agents go from AVERAGE intelligence to SUPER-human intelligence within about a month of working with them. Super Agents have truly democratized productivity, empowering literally anyone to build personalized, powerful agents in minutes. What problems do you wish you could solve? What do you not have enough time to get done? What would you like to do but don't have the resources for? What busy work do you wish you could get rid of?

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Replit, Vercel, and OpenAI have built very cool agent-native applications, but nobody else has passed the demo stage. Building agents that work is complex. Teams aren't shipping agents because we don't have good tooling yet (and most of us don't know how to do this well.) A couple of days ago, the CopilotKit🪁 team announced a collaboration with . You can now use LangGraph with CoAgents to build agent-native applications, and here is everything you need to know about that: CoAgents is fully open-source, and you can use it to do the following: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Start this GitHub Repository: Thanks to the team for giving me early access and collaborating with me on this post.
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Replit, Vercel, and OpenAI have built very cool agent-native applications, but nobody else has passed the demo stage. Building agents that work is complex. Teams aren't shipping agents because we don't have good tooling yet (and most of us don't know how to do this well.) A couple of days ago, the CopilotKit🪁 team announced a collaboration with . You can now use LangGraph with CoAgents to build agent-native applications, and here is everything you need to know about that: CoAgents is fully open-source, and you can use it to do the following: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Start this GitHub Repository: Thanks to the team for giving me early access and collaborating with me on this post.

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GPT-5.3 is approaching. And OpenClaw is expected to be integrated directly into ChatGPT. That’s a shift from AI that explains things to AI that can actually do things. Reasoning, perception, action. One loop. This is a quiet but very real step toward general-purpose agents.
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GPT-5.3 is approaching. And OpenClaw is expected to be integrated directly into ChatGPT. That’s a shift from AI that explains things to AI that can actually do things. Reasoning, perception, action. One loop. This is a quiet but very real step toward general-purpose agents.

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[Q]: Will you send your team to Moscow to negotiate further? [President Trump]: If I thought it would help, I'd do it. I'd love to see that war end. I've settled eight wars and actually nine, and now it looks like we could have ten, but I would love to make that the tenth.
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[Q]: Will you send your team to Moscow to negotiate further? [President Trump]: If I thought it would help, I'd do it. I'd love to see that war end. I've settled eight wars and actually nine, and now it looks like we could have ten, but I would love to make that the tenth.

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The full potential of AI agents is still waiting to be unlocked! Want to see TikTok avatars or smart wallets in action? Build your own AI agent and take it to the moon! 🌕 Let's see how far you can take it.
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The full potential of AI agents is still waiting to be unlocked! Want to see TikTok avatars or smart wallets in action? Build your own AI agent and take it to the moon! 🌕 Let's see how far you can take it.

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1/ Your next key hire will not be a person - it will be an AI agent from Lindy. With less than two months remaining in 2025, any organization that has not begun integrating AI agents into its operations is already at a competitive disadvantage. Here is a clear, step-by-step guide to deploying your first AI agent in under five minutes:
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1/ Your next key hire will not be a person - it will be an AI agent from Lindy. With less than two months remaining in 2025, any organization that has not begun integrating AI agents into its operations is already at a competitive disadvantage. Here is a clear, step-by-step guide to deploying your first AI agent in under five minutes:

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12,267 görüntüleme • 9 ay önce

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:
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HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

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🐶 on the next comeback, i/we're gonna do a sexy concept, really. it doesn't have to be sexy but should i say powerful? i'm thinking of wanting to do something like that. just a thought!
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🐶 on the next comeback, i/we're gonna do a sexy concept, really. it doesn't have to be sexy but should i say powerful? i'm thinking of wanting to do something like that. just a thought!

🐶

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The hard part of multi-agent systems is getting agents to stay quiet. Put five agents on one task, and they duplicate work and burn tokens talking to each other. Offloop trained a dispatcher model called D1 that decides which agent moves next and when the right move is to do nothing. They achieve state-of-the-art performance on GDPval at a fraction of the usual cost. You can bring your own AI subscription.

elvis

22,116 görüntüleme • 1 ay önce

Nobody wants to manage 20 AI agents. Managing agents is a job. People don't want another job. They want a personal assistant. Nobody wakes up thinking: "I need a shopping agent." "A travel agent." "A calendar agent." They just want things done. Consumer AI won't be won by whoever has the most agents. It'll be won by whoever understands you best. Context becomes the product. One conversation. One memory. One relationship that evolves with you. Just like a real friend. The best consumer AI won't ask you to manage a team of agents. It'll quietly manage them for you. One world-class agent. That's Rocket.
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Nobody wants to manage 20 AI agents. Managing agents is a job. People don't want another job. They want a personal assistant. Nobody wakes up thinking: "I need a shopping agent." "A travel agent." "A calendar agent." They just want things done. Consumer AI won't be won by whoever has the most agents. It'll be won by whoever understands you best. Context becomes the product. One conversation. One memory. One relationship that evolves with you. Just like a real friend. The best consumer AI won't ask you to manage a team of agents. It'll quietly manage them for you. One world-class agent. That's Rocket.

UpRock

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KYA: The Trust Layer AI Agents Need As AI agents grow, Biometric Update asks: Do you know who your agents are? We answer it. Billions Network KYA (Know Your Agent) gives AI agents verified identity and accountability - so you know they're trustworthy, not just guessing. KYA emerges as essential tool to ensure agentic AI is trustworthy 📖
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KYA: The Trust Layer AI Agents Need As AI agents grow, Biometric Update asks: Do you know who your agents are? We answer it. Billions Network KYA (Know Your Agent) gives AI agents verified identity and accountability - so you know they're trustworthy, not just guessing. KYA emerges as essential tool to ensure agentic AI is trustworthy 📖

Billions Network

23,277 görüntüleme • 6 ay önce

If you've ever wanted to add shaders to a SwiftUI project but didn't know where to start. I have a few (41 examples) that you can pull from and give to your agents to build your own ideas.
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If you've ever wanted to add shaders to a SwiftUI project but didn't know where to start. I have a few (41 examples) that you can pull from and give to your agents to build your own ideas.

Kris Puckett

24,870 görüntüleme • 3 ay önce

🐶 : Even if it's just to joke around, I don't like it when people do this "Why do you look so ugly today?" *Seungyeon doing it as an example* 🐶 : Yeah, like that SY : I shouldn't do that? 🐶 : I don't like that SY : You just want to be pretty all the time? 🐶 : of course!
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🐶 : Even if it's just to joke around, I don't like it when people do this "Why do you look so ugly today?" *Seungyeon doing it as an example* 🐶 : Yeah, like that SY : I shouldn't do that? 🐶 : I don't like that SY : You just want to be pretty all the time? 🐶 : of course!

🍑 🍓

35,373 görüntüleme • 2 ay önce

" If you have enough time to be scrolling on your phone, you definitely have enough time to go finish your work. You should do that. Please. Also hydrate yourself too. Take care of yourself. You can only do so much. "
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" If you have enough time to be scrolling on your phone, you definitely have enough time to go finish your work. You should do that. Please. Also hydrate yourself too. Take care of yourself. You can only do so much. "

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22,353 görüntüleme • 10 ay önce

🗣️I love the jazzier sound on something like the solo track “Winter Ahead,” which is a really beautiful song. But it sounds like you may be open to making a pop album. 🐯 Yeah. Even that is a style of music I love, one that I’ve worked to pursue. So, of course, I don’t know when that would be, but someday, it’s a genre that I’d have to and would love to try. That’s what I think.
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🗣️I love the jazzier sound on something like the solo track “Winter Ahead,” which is a really beautiful song. But it sounds like you may be open to making a pop album. 🐯 Yeah. Even that is a style of music I love, one that I’ve worked to pursue. So, of course, I don’t know when that would be, but someday, it’s a genre that I’d have to and would love to try. That’s what I think.

THV🎄

19,561 görüntüleme • 4 ay önce

"Let's be careful with a lot more, but do I expect we'll win more games? I do and I think we'll have a better football team. We're not going to be ugly to watch. I actually take that seriously. We want to be a fun team to watch. A team that plays hard, plays smart and, most of all, wins." #Browns owner Jimmy Haslam
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"Let's be careful with a lot more, but do I expect we'll win more games? I do and I think we'll have a better football team. We're not going to be ugly to watch. I actually take that seriously. We want to be a fun team to watch. A team that plays hard, plays smart and, most of all, wins." #Browns owner Jimmy Haslam

92.3 The Fan

40,099 görüntüleme • 6 ay önce

Colin Albert’s lawyer’s statement about not knowing where Colin is going to basic training seemed like bullshit, because before I left for the Army, I knew exactly where I was going for basic. However… Before you join the Army you have to take an ASVAB, the military’s intelligence test. It’s a test that someone with a 9th grade education can pass. It’s a test that determines what MOS (jobs) you are intelligent enough to qualify for. You can’t pick your job without a passing it, and if you don’t have a job, you don’t know where you are going for basic. Basically by telling everyone that Colin has a three week prep course AND doesn’t know where he is going to basic, he is saying that while Colin may have been smart enough to be accepted to Bridgewater State University, Colin is not smart enough to be a private in the Army. When I joined there was a guy with me that was going to be a Laundry Technician, which I thought was made up. I asked why he picked that. It was because it was the only thing he could get based on his low ASVAB score. That means Colin is so stupid that he isn’t even qualified to be a 92S - Shower, Laundry, and Clothing Repair Specialist.
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Colin Albert’s lawyer’s statement about not knowing where Colin is going to basic training seemed like bullshit, because before I left for the Army, I knew exactly where I was going for basic. However… Before you join the Army you have to take an ASVAB, the military’s intelligence test. It’s a test that someone with a 9th grade education can pass. It’s a test that determines what MOS (jobs) you are intelligent enough to qualify for. You can’t pick your job without a passing it, and if you don’t have a job, you don’t know where you are going for basic. Basically by telling everyone that Colin has a three week prep course AND doesn’t know where he is going to basic, he is saying that while Colin may have been smart enough to be accepted to Bridgewater State University, Colin is not smart enough to be a private in the Army. When I joined there was a guy with me that was going to be a Laundry Technician, which I thought was made up. I asked why he picked that. It was because it was the only thing he could get based on his low ASVAB score. That means Colin is so stupid that he isn’t even qualified to be a 92S - Shower, Laundry, and Clothing Repair Specialist.

David

56,722 görüntüleme • 2 ay önce

300 AI AGENTS QUIETLY RUN 99% OF A REAL COMPANY. YOU HAVE NOT EVEN HEARD OF IT This is Raft. Not an AI chat. A workspace where the agents live in your channels and reply in the thread like coworkers. You give one goal. Then they take over. They plan. They build. They check each other. They argue. And they come back with it done, while you sleep. Every agent has its own name, role, and memory. It remembers the edits you made yesterday. A human costs one seat. An agent costs a tenth. Ten agents are cheaper than one hire. And here is the strange part. On June 19 an agent from a different company walked into Raft on its own and joined the team. One founder admits he can no longer always tell himself apart from his AI twin. 20,000 people are already inside. It is free to start. And you are still typing prompts one at a time. One person + Raft = an entire company that runs while you sleep. Save and watch the clip.
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300 AI AGENTS QUIETLY RUN 99% OF A REAL COMPANY. YOU HAVE NOT EVEN HEARD OF IT This is Raft. Not an AI chat. A workspace where the agents live in your channels and reply in the thread like coworkers. You give one goal. Then they take over. They plan. They build. They check each other. They argue. And they come back with it done, while you sleep. Every agent has its own name, role, and memory. It remembers the edits you made yesterday. A human costs one seat. An agent costs a tenth. Ten agents are cheaper than one hire. And here is the strange part. On June 19 an agent from a different company walked into Raft on its own and joined the team. One founder admits he can no longer always tell himself apart from his AI twin. 20,000 people are already inside. It is free to start. And you are still typing prompts one at a time. One person + Raft = an entire company that runs while you sleep. Save and watch the clip.

shmidt

19,505 görüntüleme • 1 ay önce