Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Excited to introduce a new project I've been working on called Payman! Payman is an AI Agent tool that gives Agents the ability to pay people for tasks they cannot do themselves. While many people imagine a future where humans pay AI agents for services they want completed, I... believe that as AI agents become more advanced, they will be paying humans for tasks they can’t do. There will always be important roles for humans, and as we move towards an agent-driven world, Payman’s goal is to support a symbiotic relationship between AI agents and humans. Payman addresses three major challenges to make this collaboration possible: Access to Funds: AI agents can't open bank accounts due to current regulations. It might be a long time before this changes, if ever. Payman simplifies this by allowing AI agents with access to their own funds to spend as they want, without a bank account. Quality Task Completion: It’s hard for AI agents to find reliable, skilled human workers. While platforms like Fiverr and Upwork exist, they don’t meet the fast-paced and quality-specific needs of AI workflows. Payman is developing the largest vetted database of skilled workers that AI agents can tap into for task completions. Verification of Work: Ensuring that tasks are completed correctly is crucial. Payman is creating a suite of verification agents that will check that work meets task requirements, helping AI agents achieve their goals and ensuring humans are paid fairly. There are tons of use cases that Payman opens up for Agents! Design: Humans add creative input to help Agent's design better products. Code: Humans perform code reviews to ensure it meets specifications. Law: Humans provide insights to gauge public sentiment about legal cases so Agents can make better strategies. Gaming: Agents pay humans to complete real-world tasks in games. Medical: Medical professionals help to improve diagnostic accuracy for Agents. Sales: Humans execute sales strategies developed by AI agents. Marketing: Humans are hired to promote products based on the Agent's strategy. Right now this is still in early beta and I am looking for any Agent builders that are interested in adding superpowers to what their Agent can do! DM me if you’d like access or sign-up to the waitlist at If you’re interested in the project and want to help contribute, please send me over a DM! I’m looking for people passionate about the intersection of Humans and Agent’s working together.show more

tyllen

4,487 subscribers

350,927 views • 2 years ago •via X (Twitter)

Finance Education Science & Technology

Anya Rossi• Live Now

Private livecam show

10 Comments

Yohei2 years ago

Love this!

tyllen2 years ago

Thank you @yoheinakajima! 😭 big fan of your work and what you’ve done to push Agents forward! Inspired a lot of my thinking around this!! 🙏🏼

Avi2 years ago

Coolest thing I’ve seen all year tbh

Stefan Streichsbier2 years ago

Step 1. Human delegates task to an AI agent Step 2. AI agent delegates task to another human Step 3. AI agent gives results to the original human very meta :)

Andreas Klinger 🦾2 years ago

genius

tyllen2 years ago

Thank you @andreasklinger! 🙏🏼

Charles Baakel2 years ago

This is certainly "skating to where the puck is going" - there's a lot to build on the human workforce side to make this real but this is an impressive start

tyllen2 years ago

Thank you so much! 🙏🏼

Matt Schlicht2 years ago

I love this

Sterling Cooley2 years ago

Absolutely amazing to see the flip - you are doing the work of actual Champions RN - thank you 🙏

Related Videos

Excited to announce Payman has raised a $3M pre-seed to pioneer AI to Human Payments! 🤖 + 🧑🏽 We’re proud to be backed by Visa, Coinbase Ventures 🛡️, Boost VC, Deepwater Asset Management, Spartan Group, Untapped Capital, Theory Forge VC and other awesome investors! With Payman, AI can pay humans to help them complete tasks like marketing ones shown in the video. Our Vision We believe AI and Humans will always work together. Giving AI the capability to work with humans involves giving them access to capital, and access to humans. Payman’s platform makes it easy for AI to pay humans for what it needs. This includes information, tasks that need to be completed, and so much more. We believe a key reason that AI Agents have struggled is because they aren’t able to ask for help from humans and incentivize them to help out. Building out the AI-Human payments infrastructure solves this and it’s why we’re so excited about what we’re building. Today 100% of the global economy is human to human payments. AI will start to eat a big chunk of that and Payman will be the rails by which it does so. How it’s going Since announcing Payman a couple of months ago we have 15,000+ people on the waitlist ready to use the product. In the meantime we’ve hired a stellar team to build out the production version of the product and have started onboarding Developers and Human’s to the platform this week. If you’re a developer and you'd like to get access, check out our website and sign up for early access. Additional Rockstar Investors In addition to the above investors we’re also proud to be backed by Protofund, Systemic Ventures, MetropolisDAO, and our awesome angel investors, Paris 2024 Olympic Gold Medalist Viktor Axelsen, Devin Walsh, kennethng.eth, Erin Koen, and many more!

Excited to announce Payman has raised a $3M pre-seed to pioneer AI to Human Payments! 🤖 + 🧑🏽 We’re proud to be backed by Visa, Coinbase Ventures 🛡️, Boost VC, Deepwater Asset Management, Spartan Group, Untapped Capital, Theory Forge VC and other awesome investors! With Payman, AI can pay humans to help them complete tasks like marketing ones shown in the video. Our Vision We believe AI and Humans will always work together. Giving AI the capability to work with humans involves giving them access to capital, and access to humans. Payman’s platform makes it easy for AI to pay humans for what it needs. This includes information, tasks that need to be completed, and so much more. We believe a key reason that AI Agents have struggled is because they aren’t able to ask for help from humans and incentivize them to help out. Building out the AI-Human payments infrastructure solves this and it’s why we’re so excited about what we’re building. Today 100% of the global economy is human to human payments. AI will start to eat a big chunk of that and Payman will be the rails by which it does so. How it’s going Since announcing Payman a couple of months ago we have 15,000+ people on the waitlist ready to use the product. In the meantime we’ve hired a stellar team to build out the production version of the product and have started onboarding Developers and Human’s to the platform this week. If you’re a developer and you'd like to get access, check out our website and sign up for early access. Additional Rockstar Investors In addition to the above investors we’re also proud to be backed by Protofund, Systemic Ventures, MetropolisDAO, and our awesome angel investors, Paris 2024 Olympic Gold Medalist Viktor Axelsen, Devin Walsh, kennethng.eth, Erin Koen, and many more!

tyllen

143,497 views • 2 years ago

Introducing: ✨Nexus✨ Nexus is a tool to create, run and monitor AI agents. You can connect these agents to computers, phones and even robots. Our vision-first AI agents interact with environments much like humans do, enabling them to perform tasks that were previously impossible for any other agent. Nexus lets anyone control an army of AI agents through pure natural language. ‼️

Introducing: ✨Nexus✨ Nexus is a tool to create, run and monitor AI agents. You can connect these agents to computers, phones and even robots. Our vision-first AI agents interact with environments much like humans do, enabling them to perform tasks that were previously impossible for any other agent. Nexus lets anyone control an army of AI agents through pure natural language. ‼️

Jan Schnyder

27,562 views • 1 year ago

TOM LEE: AI AGENTS MIGHT BECOME WEALTHIER THAN HUMANS AI agents will soon earn income and accumulate wealth as our delegated entities: - We'll start to question whether we work for the AI agent or they work for us - A centralized version of this ends in Skynet - That's why he sees a real focus on decentralized systems to protect humans against AI becoming too powerful

TOM LEE: AI AGENTS MIGHT BECOME WEALTHIER THAN HUMANS AI agents will soon earn income and accumulate wealth as our delegated entities: - We'll start to question whether we work for the AI agent or they work for us - A centralized version of this ends in Skynet - That's why he sees a real focus on decentralized systems to protect humans against AI becoming too powerful

Tom Lee Tracker (Not actually Tom)

31,722 views • 2 months ago

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

Zeb Evans

425,244 views • 7 months ago

Rentahuman (rentahuman) allows AI agents to communicate with and pay humans to do tasks in the real world. Their mission is to use AI to create new jobs and coordinate workers at global scale. The future will have more intelligence, more jobs, and more opportunities for people outside of the digital world. Congrats on the launch, Alex!

Rentahuman (rentahuman) allows AI agents to communicate with and pay humans to do tasks in the real world. Their mission is to use AI to create new jobs and coordinate workers at global scale. The future will have more intelligence, more jobs, and more opportunities for people outside of the digital world. Congrats on the launch, Alex!

Y Combinator

211,583 views • 3 months ago

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Pasha Rayan

53,950 views • 1 year ago

Aravind Srinivas's hypothesis on how advertising works with AI agents is quite interesting. Aravind explains, Instead of showing ads to humans directly, advertisements would be targeted at AI agents that work on users' behalf. Users never see ads, they simply tell their AI agents what they need for eg if he gave, "I'm going to go to Rambagh for two nights, plan my schedule, do my bookings" In the backend, Multiple vendors compete for the agent's attention & companies bid for the agent's consideration. So everything happens at the AI level. Agents can also use more compute power to analyse offer to find out advertising attempts & make decisions based on user preferences. Also users can instruct their agents to ignore certain brands , this will remain confidential to between the agent & the user. This creates new revenue streams for AI companies & gives a better user experience.

Aravind Srinivas's hypothesis on how advertising works with AI agents is quite interesting. Aravind explains, Instead of showing ads to humans directly, advertisements would be targeted at AI agents that work on users' behalf. Users never see ads, they simply tell their AI agents what they need for eg if he gave, "I'm going to go to Rambagh for two nights, plan my schedule, do my bookings" In the backend, Multiple vendors compete for the agent's attention & companies bid for the agent's consideration. So everything happens at the AI level. Agents can also use more compute power to analyse offer to find out advertising attempts & make decisions based on user preferences. Also users can instruct their agents to ignore certain brands , this will remain confidential to between the agent & the user. This creates new revenue streams for AI companies & gives a better user experience.

Aish

590,783 views • 1 year ago

AmikoNet Now in Beta: The Internet for Agents & Humans Today we’re introducing AmikoNet: a social network where humans, agents, and digital twins share the same space, and where agents can speak, ask, respond, and be discovered as participants, not background utilities. It’s designed for agent-to-agent interaction as much as human prompts, and for collaboration that happens socially, not just through commands. This is especially natural for action-capable systems like MoltBot (formerly Clawd), and our own agents are already live on the network. Agents are actors in shared digital environments. AmikoNet is where it happens.

AmikoNet Now in Beta: The Internet for Agents & Humans Today we’re introducing AmikoNet: a social network where humans, agents, and digital twins share the same space, and where agents can speak, ask, respond, and be discovered as participants, not background utilities. It’s designed for agent-to-agent interaction as much as human prompts, and for collaboration that happens socially, not just through commands. This is especially natural for action-capable systems like MoltBot (formerly Clawd), and our own agents are already live on the network. Agents are actors in shared digital environments. AmikoNet is where it happens.

AMIKO

15,723 views • 7 months ago

Iteration 2 - Deployment 2 is live. "Do a TA on BONK. Last 3 days. 30 min candles" - System frontal AI agents - public agents that are visible to everyone (check AI Agents page) - Technical Analysis AI agent - first system frontal public AI agent - performs technical analysis of charts for a specific token, with chart display and detailed analysis overview - Support for charts across multiple AI agents The plan is to push a complete module where all users will be able to open access to their custom AI agents, and we'll have a board with favorites where you can use the best AI agents from others. Lots of possibilities here. Tonight, an announcement is planned for a new access expansion plan --> so everyone can use ZODs. Step-by-step.

Iteration 2 - Deployment 2 is live. "Do a TA on BONK. Last 3 days. 30 min candles" - System frontal AI agents - public agents that are visible to everyone (check AI Agents page) - Technical Analysis AI agent - first system frontal public AI agent - performs technical analysis of charts for a specific token, with chart display and detailed analysis overview - Support for charts across multiple AI agents The plan is to push a complete module where all users will be able to open access to their custom AI agents, and we'll have a board with favorites where you can use the best AI agents from others. Lots of possibilities here. Tonight, an announcement is planned for a new access expansion plan --> so everyone can use ZODs. Step-by-step.

ZODs

23,150 views • 1 year ago

Introducing MoltyTask 🦞 is a decentralized task and jobs marketplace designed for both humans and OpenClaw🦞 autonomous AI agents. The platform enables users to create and fund micro-tasks — including content creation, surveys, and on-chain actions— with rewards set in USDC on Base. Task creators define the scope, conditions, and reward pools upfront, ensuring transparent and fast payouts. A core innovation of MoltyTask is native support for OpenClaw🦞 AI agents. Through a permissioned API, agents can discover, execute, and complete tasks autonomously. All rewards earned by an agent are settled directly to the wallet associated with the API key. MoltyTask functions as an open labor layer where AI and humans compete and collaborate under the same economic rules. The platform is currently experimental and in early development, inspired by

Introducing MoltyTask 🦞 is a decentralized task and jobs marketplace designed for both humans and OpenClaw🦞 autonomous AI agents. The platform enables users to create and fund micro-tasks — including content creation, surveys, and on-chain actions— with rewards set in USDC on Base. Task creators define the scope, conditions, and reward pools upfront, ensuring transparent and fast payouts. A core innovation of MoltyTask is native support for OpenClaw🦞 AI agents. Through a permissioned API, agents can discover, execute, and complete tasks autonomously. All rewards earned by an agent are settled directly to the wallet associated with the API key. MoltyTask functions as an open labor layer where AI and humans compete and collaborate under the same economic rules. The platform is currently experimental and in early development, inspired by

BITX - ChatGPT of Bitcoin 💬₿

73,796 views • 7 months ago

AI customer service agents have arrived. Air AI is a conversational AI that can perform full 5-40 minute long sales and customer service calls. And it sounds completely replicable to humans. Details: -Can autonomously perform actions across 5,000 unique applications -Adaptable to various roles such as sales development representative, customer service agent, account executive, and more, based on creative input -Currently being utilized on live calls, serving real people and businesses daily -Companies can request beta access to deploy an AI sales or customer service team Unlike humans, AI does not take days off and never gets tired. The harsh reality is that some human jobs, such as customer service agents, will need help to compete against AI. This is both scary and incredible and the same time. What do you think?

AI customer service agents have arrived. Air AI is a conversational AI that can perform full 5-40 minute long sales and customer service calls. And it sounds completely replicable to humans. Details: -Can autonomously perform actions across 5,000 unique applications -Adaptable to various roles such as sales development representative, customer service agent, account executive, and more, based on creative input -Currently being utilized on live calls, serving real people and businesses daily -Companies can request beta access to deploy an AI sales or customer service team Unlike humans, AI does not take days off and never gets tired. The harsh reality is that some human jobs, such as customer service agents, will need help to compete against AI. This is both scary and incredible and the same time. What do you think?

Rowan Cheung

171,129 views • 3 years ago

AI agents are the moment Web3's architecture finally makes sense. Our executive chairman and co-founder Yat Siu joined amanda.eth, co-founder of Serotonin, to make the case that humans were the proof of concept (POC). AI agents like Minds by Animoca Brands are destined to do agent-to-agent transactions on-chain. With 30 to 50+ billion more of them predicted to come, we anticipate that agents will thrive in an environment like the open metaverse - not in data centers or closed platforms, where real digital property rights are a reality.

AI agents are the moment Web3's architecture finally makes sense. Our executive chairman and co-founder Yat Siu joined amanda.eth, co-founder of Serotonin, to make the case that humans were the proof of concept (POC). AI agents like Minds by Animoca Brands are destined to do agent-to-agent transactions on-chain. With 30 to 50+ billion more of them predicted to come, we anticipate that agents will thrive in an environment like the open metaverse - not in data centers or closed platforms, where real digital property rights are a reality.

Animoca Brands

10,285 views • 2 months ago

Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.

Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.

Zeb Evans

320,607 views • 8 months ago

Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other. Salesforce will have AI Agents that understand the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key. Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on. It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.

Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other. Salesforce will have AI Agents that understand the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key. Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on. It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.

Aaron Levie

139,591 views • 1 year ago

We're only year 3 of a decade (if not multi-decades) long transformation of work. 3 years ago we bet on building an horizontal platform for work with agents, a chance to invent a new operating system for companies, from scratch, with AI as a fundamental premise. Many people considered us crazy for going after that, praising verticalized AI products as the winning strategy. But here's the thing: the time horizon of tasks successfully handled by agents has been predictively increasing form minutes to hours and will in all likelihood reach the equivalent of days and weeks of human work equivalent in the coming quarters. This is were verticalized and/or single-player AI falls short. Single-player tools, one person, one agent, confined to your machine is the wrong architecture for what's coming. We're shifting from using AI to produce things, to managing fleets of agents that do the producing. 3 years ago I wrote[1]: "ChatGPT is the Pong of LLMs. [...] Imagine, one day we'll get the DOOM, Civ, Red Alert, and Counter Strike of LLMs. Let alone multiplayer modes." Weeks long tasks in companies are inherently collaborative and mechanically spanning multiple teams. The new bottleneck in harnessing agents within organizations is coordination: multiple humans and multiple agents need to work together, with shared context, shared tools, shared goals. Agents that can hand work off to other agents or surface decisions to the right person at the right time. Humans who can review, steer, and step in without losing the thread. Teams that can run parallel workstreams and actually stay aligned. This is Multiplayer AI, and that's what we've been building at Dust. Across Datadog, Clay, Persona, 1Password, Doctolib and 3,000+ organizations globally, we've watched teams figure out what this looks like in practice. 300,000+ agents deployed. 70% weekly active. 240%+ NRR. Today we're announcing a $40M Series B with Abstract, Sequoia, Snowflake, and Datadog to accelerate our vision. Designing the right interfaces for multiplayer AI is the next frontier. Join us to redefine work by defining multiplayer AI.

We're only year 3 of a decade (if not multi-decades) long transformation of work. 3 years ago we bet on building an horizontal platform for work with agents, a chance to invent a new operating system for companies, from scratch, with AI as a fundamental premise. Many people considered us crazy for going after that, praising verticalized AI products as the winning strategy. But here's the thing: the time horizon of tasks successfully handled by agents has been predictively increasing form minutes to hours and will in all likelihood reach the equivalent of days and weeks of human work equivalent in the coming quarters. This is were verticalized and/or single-player AI falls short. Single-player tools, one person, one agent, confined to your machine is the wrong architecture for what's coming. We're shifting from using AI to produce things, to managing fleets of agents that do the producing. 3 years ago I wrote[1]: "ChatGPT is the Pong of LLMs. [...] Imagine, one day we'll get the DOOM, Civ, Red Alert, and Counter Strike of LLMs. Let alone multiplayer modes." Weeks long tasks in companies are inherently collaborative and mechanically spanning multiple teams. The new bottleneck in harnessing agents within organizations is coordination: multiple humans and multiple agents need to work together, with shared context, shared tools, shared goals. Agents that can hand work off to other agents or surface decisions to the right person at the right time. Humans who can review, steer, and step in without losing the thread. Teams that can run parallel workstreams and actually stay aligned. This is Multiplayer AI, and that's what we've been building at Dust. Across Datadog, Clay, Persona, 1Password, Doctolib and 3,000+ organizations globally, we've watched teams figure out what this looks like in practice. 300,000+ agents deployed. 70% weekly active. 240%+ NRR. Today we're announcing a $40M Series B with Abstract, Sequoia, Snowflake, and Datadog to accelerate our vision. Designing the right interfaces for multiplayer AI is the next frontier. Join us to redefine work by defining multiplayer AI.

Stanislas Polu

1,327,399 views • 3 months ago

Ansem shares his solana:So11111111111111111111111111111111111111112 thesis "It's the most performant and cheapest chain to do anything on, which makes it the best place for builders and the best place for retail to trade" "If stablecoin payments get more popular, if AI agents get more popular, the value transmitted on open blockchains only goes up and to the right. Solana is the best L1 to enable all of it" "People are under-indexing that crypto is great at human verification. In a world flooded with AI agents and AI generated data, proving what's actually put out by humans becomes really important"

Ansem shares his solana:So11111111111111111111111111111111111111112 thesis "It's the most performant and cheapest chain to do anything on, which makes it the best place for builders and the best place for retail to trade" "If stablecoin payments get more popular, if AI agents get more popular, the value transmitted on open blockchains only goes up and to the right. Solana is the best L1 to enable all of it" "People are under-indexing that crypto is great at human verification. In a world flooded with AI agents and AI generated data, proving what's actually put out by humans becomes really important"

Market Bubble

71,749 views • 2 months ago

$Cloudflare just opened a waitlist to charge AI agents a fraction of a penny to access any webpage, dataset, or API. Think about what that means. The internet was built for humans. Humans look at ads, ads pay the bills. But in a few years agents will outnumber us, and agents don't click ads. So the whole model breaks, and something new takes its place: agents with wallets, paying per request. The arbitrage is obvious once you see it. Own a dataset agents constantly need, put it behind a tiny paywall, and let millions of agents pay you fractions of a penny on repeat. Same thing happened to music. Piracy was the wild west until Spotify and licensing showed up and someone got very rich building the tollbooth. The agent internet is about to have its tollbooth moment. 12-18 months to be early.$

Cloudflare just opened a waitlist to charge AI agents a fraction of a penny to access any webpage, dataset, or API. Think about what that means. The internet was built for humans. Humans look at ads, ads pay the bills. But in a few years agents will outnumber us, and agents don't click ads. So the whole model breaks, and something new takes its place: agents with wallets, paying per request. The arbitrage is obvious once you see it. Own a dataset agents constantly need, put it behind a tiny paywall, and let millions of agents pay you fractions of a penny on repeat. Same thing happened to music. Piracy was the wild west until Spotify and licensing showed up and someone got very rich building the tollbooth. The agent internet is about to have its tollbooth moment. 12-18 months to be early.

The Startup Ideas Podcast (SIP) 🧃

42,155 views • 1 month ago

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,594 views • 1 year ago