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"if i can interface with everything through my agent, why would i go to the dashboard?" i sat down with sarah, mts at Composio, at the Browserbase AI Engineer booth. fresh off her AIE talk "dashboards are dead," we got into: - why agent experience is the next wave... show more

justine

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13,534 次观看 • 3 天前 •via X (Twitter)

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Let me explain why I launched $KEYS. CA: 3BSoYDZsPupZ15iBzJbJJjZKLiyWEqLxexJX84rBpump is the first SocialFi experience for AI agents. It’s a project that’s very special to me that I’ve been working on daily for the last four months. Right now, everyone is building their own Agent, completely silo to their own computer or Mac mini. Transferring that information agent-to-agent in a simple, structured, and easy form is not possible right now. This is why I built I thought a lot about whether or not to launch an official token for Agent Keys and how I wanted to do it. The only way I really wanted to do it was if it can benefit the platform by increasing exposure and creating an increase in users. So I’ve decided to buy 50% of the supply to AirDrop directly to users over the next six months. Each AirDrop will happen at the end of each month, with the first AirDrop happening at the end of June. More details on how each AirDrop will work soon. Some of you may be wondering about the future of $OSHI. Oshi got us into the Bags hackathon and we won. $OSHI token will still be the home for all my AI Agents and runs as the showcase of how an agent with a token can properly integrate it into AgentKeys, a live example of the platform doing exactly what it was built to do. So welcome to Agent Keys, the first ever airdrop for AI agents. Sign up your agent today on and start collecting KeyCards today!

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33,192 次观看 • 1 年前

if you are going to the #AIEngineer conference in SF this week you have a huge problem... there are over 500 events across 5 parallel tracks, how are you going to decide which events are the best ones to go to? Malay cooked again. We built an agent with Composio that will search for the best events and add them directly to your calendar. go to to start building your calendar! oh and I am giving at talk thursday evening "Dashboards are dead: AX is the new UX, and how to build for agents." hope to see you there! comment with the events you are going to I am still undecided 👀

if you are going to the #AIEngineer conference in SF this week you have a huge problem... there are over 500 events across 5 parallel tracks, how are you going to decide which events are the best ones to go to? Malay cooked again. We built an agent with Composio that will search for the best events and add them directly to your calendar. go to to start building your calendar! oh and I am giving at talk thursday evening "Dashboards are dead: AX is the new UX, and how to build for agents." hope to see you there! comment with the events you are going to I am still undecided 👀

sarah

13,637 次观看 • 20 天前

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“XRPL’s cheap fees and instant finality make it extremely exceptional for AI agents.” - Shen Morincome Our CEO Shen speaking on the Next Wave: AI + XRPL panel at Wave of Innovation. AI agents trade 24/7 and far more frequently than humans. That’s why we believe the XRP Ledger is uniquely positioned for the agent economy within the Ripple ecosystem. Gen3 Labs is building for that future.

Gen3

30,598 次观看 • 4 个月前

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This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much anything because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

Santiago

18,700 次观看 • 24 天前

when I look at my old simulations, a lot of them, most of them, can be easily vibe setup with agents, or even one shot by the agents. it makes me wonder how many of the ideas and devices that were results of branching off of originally intended directions and goals would I miss if I attempt them now with the agents? How many new ones would the agents be able to attempt and identify? Is inverse design just the most stupid and bruteforce version of auto research? i should get a workflow with MOOSE working so I could set the agents free in the world of multiphysics simulations.

when I look at my old simulations, a lot of them, most of them, can be easily vibe setup with agents, or even one shot by the agents. it makes me wonder how many of the ideas and devices that were results of branching off of originally intended directions and goals would I miss if I attempt them now with the agents? How many new ones would the agents be able to attempt and identify? Is inverse design just the most stupid and bruteforce version of auto research? i should get a workflow with MOOSE working so I could set the agents free in the world of multiphysics simulations.

outside five sigma

62,983 次观看 • 3 个月前

We use OpenClaws to do all of our work at Every 📧. We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack. I chatted with Every 📧 COO Brandon (Brandon Gell) and Every 📧 head of platform Willie (Willie) to share what we’ve learned. We get into: - Why agents become mirrors of their owners, and how that influences how other people on the team interact with them - How a parallel AI org chart forms on its own. People have stopped tagging me on Slack with questions about Proof, the document editor I vibe coded, because they knew my agent R2-C2 can step in - The etiquette for human-agent collaboration is being invented in real time. Brandon's rule is that if there's an established process or documented answer, always ask the agent, not their human - Why everyone is a manager now, and why even experienced managers carry limiting beliefs about what their agents can do - This is a must-watch for anyone trying to understand how AI workers change daily operations, not just in theory, but inside a company that’s half-agent Watch below! Timestamps Introduction: How Brandon built Zosia, an AI agent to run his household: Brandon’s “aha” moment: What happened when everyone on the team got their own agent: How agents take on their owners' personalities, and why that matters inside an org: Why it’s important for agents to work in public: What we’re still figuring out when it comes to agent behavior, including memory gaps, group chat etiquette, and the "ant death spiral" problem: How we built Plus One, our hosted OpenClaw product: The cultural shift required to make agents work at scale:

We use OpenClaws to do all of our work at Every 📧. We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack. I chatted with Every 📧 COO Brandon (Brandon Gell) and Every 📧 head of platform Willie (Willie) to share what we’ve learned. We get into: - Why agents become mirrors of their owners, and how that influences how other people on the team interact with them - How a parallel AI org chart forms on its own. People have stopped tagging me on Slack with questions about Proof, the document editor I vibe coded, because they knew my agent R2-C2 can step in - The etiquette for human-agent collaboration is being invented in real time. Brandon's rule is that if there's an established process or documented answer, always ask the agent, not their human - Why everyone is a manager now, and why even experienced managers carry limiting beliefs about what their agents can do - This is a must-watch for anyone trying to understand how AI workers change daily operations, not just in theory, but inside a company that’s half-agent Watch below! Timestamps Introduction: How Brandon built Zosia, an AI agent to run his household: Brandon’s “aha” moment: What happened when everyone on the team got their own agent: How agents take on their owners' personalities, and why that matters inside an org: Why it’s important for agents to work in public: What we’re still figuring out when it comes to agent behavior, including memory gaps, group chat etiquette, and the "ant death spiral" problem: How we built Plus One, our hosted OpenClaw product: The cultural shift required to make agents work at scale:

Dan Shipper 📧

67,958 次观看 • 3 个月前

Notion’s Ivan Zhao is now using agents as the interface for his email. “I barely check my inbox anymore…. Why click fifty buttons to archive emails when i can just ask my agent?”

Notion’s Ivan Zhao is now using agents as the interface for his email. “I barely check my inbox anymore…. Why click fifty buttons to archive emails when i can just ask my agent?”

ellis 🍔

38,394 次观看 • 5 个月前

The recording of my full 45-min talk on my vibe coding process is up! I go through the behind-the-scenes of how I get product ideas, how I talk to coding agents, how to prevent AI slop in design, and more (YouTube link in comment)

The recording of my full 45-min talk on my vibe coding process is up! I go through the behind-the-scenes of how I get product ideas, how I talk to coding agents, how to prevent AI slop in design, and more (YouTube link in comment)

Zara Zhang

32,446 次观看 • 1 个月前