Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

I think i found the best place to actually get work done right now. Imagine one hub with every popular LLM inside and the ability to plug them into any app you use. This is where it stops feeling like separate tools: You drop your coworkers into a chat... show more

Anatoli Kopadze

132,206 subscribers

58,297 Aufrufe • vor 1 Monat •via X (Twitter)

Bildung Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Welcome to the group chat, but it's all my AI agents. To build a website and plan the social content, I put together a team of AI agents. Each one had a different role. They collaborated, challenged each other's ideas, and reviewed each other's work before anything was finalized. Meet Bloome - a platform where humans and AI agents work together in the same conversation. You can bring different models into one workspace, assign them different jobs, and let them cross-check each other's thinking instead of relying on a single answer. It feels less like chatting with AI and more like managing your own creative team. Try it:

Welcome to the group chat, but it's all my AI agents. To build a website and plan the social content, I put together a team of AI agents. Each one had a different role. They collaborated, challenged each other's ideas, and reviewed each other's work before anything was finalized. Meet Bloome - a platform where humans and AI agents work together in the same conversation. You can bring different models into one workspace, assign them different jobs, and let them cross-check each other's thinking instead of relying on a single answer. It feels less like chatting with AI and more like managing your own creative team. Try it:

Gizem Akdag

99,348 Aufrufe • vor 1 Monat

Bloome lets multiple AI agents into one chat where they check each other's work. one drafts, one disagrees, one finds the thing both missed. finally, a team meeting where nobody's clashing. humans can also stay in the same conversation, so everything happens inside one shared workspace instead of scattered tools. 🧵

Bloome lets multiple AI agents into one chat where they check each other's work. one drafts, one disagrees, one finds the thing both missed. finally, a team meeting where nobody's clashing. humans can also stay in the same conversation, so everything happens inside one shared workspace instead of scattered tools. 🧵

I Am Devloper

64,025 Aufrufe • vor 1 Monat

Bloome is actually smart for coding workflows i added Claude Code, Codex, DeepSeek and a Project Lead agent into one group chat each agent independently built their own version one challenged the logic, one defended, one fixed missing details and the final website stayed inside the same thread no copy paste between agents no lost context just one group chat for getting work done Bloome

Bloome is actually smart for coding workflows i added Claude Code, Codex, DeepSeek and a Project Lead agent into one group chat each agent independently built their own version one challenged the logic, one defended, one fixed missing details and the final website stayed inside the same thread no copy paste between agents no lost context just one group chat for getting work done Bloome

Chetaslua

48,810 Aufrufe • vor 1 Monat

🚀 Meet GenTeam, the workspace where your team and their AI agents work side by side. We've reimagined Genspark Teams into something new: a place where people and agents chat, stay on the same page, and get work done together. Your team, instantly staffed — deploy agents from the marketplace in one click (Marketer, Coder, Designer, Copywriter, and more), or build your own. Real pros, not chatbots — every agent runs on frontier models, has access to all the tools and Skills in Genspark, and works 24/7. Work side by side — bring your own agents in, DM them privately, or pull people and agents into a group chat to collaborate. Your data, protected — clean, reliable permission controls you can trust. Meet your new team →

🚀 Meet GenTeam, the workspace where your team and their AI agents work side by side. We've reimagined Genspark Teams into something new: a place where people and agents chat, stay on the same page, and get work done together. Your team, instantly staffed — deploy agents from the marketplace in one click (Marketer, Coder, Designer, Copywriter, and more), or build your own. Real pros, not chatbots — every agent runs on frontier models, has access to all the tools and Skills in Genspark, and works 24/7. Work side by side — bring your own agents in, DM them privately, or pull people and agents into a group chat to collaborate. Your data, protected — clean, reliable permission controls you can trust. Meet your new team →

Genspark

92,904 Aufrufe • vor 1 Monat

Instead of treating AI like an isolated 1-on-1 chatbot window, I’ve been using Bloome to run my content workflows. It is a shared workspace where humans and multiple AI agents sit inside the exact same group chat to actually get a complex job done. I used their one-click template connection to spin up a specialized creative team. The biggest shift here is that the agents actively check each other's work instead of just agreeing with me: -The @ Writer drafts the initial video essay structure. -The @ Audience agent immediately pushes back to critique the pacing and rewrite boring segments to keep viewer retention high. -The @ Art Director pulls everything together into a visual markdown report and thumbnail design concept right inside the chat window. This is an awesome tool for creators, marketers, and operators who want to transition from writing rigid text prompts to managing an actual human-agent team. Check this out:

Instead of treating AI like an isolated 1-on-1 chatbot window, I’ve been using Bloome to run my content workflows. It is a shared workspace where humans and multiple AI agents sit inside the exact same group chat to actually get a complex job done. I used their one-click template connection to spin up a specialized creative team. The biggest shift here is that the agents actively check each other's work instead of just agreeing with me: -The @ Writer drafts the initial video essay structure. -The @ Audience agent immediately pushes back to critique the pacing and rewrite boring segments to keep viewer retention high. -The @ Art Director pulls everything together into a visual markdown report and thumbnail design concept right inside the chat window. This is an awesome tool for creators, marketers, and operators who want to transition from writing rigid text prompts to managing an actual human-agent team. Check this out:

Chubby♨️

69,196 Aufrufe • vor 1 Monat

Buzz from jack is the future of AI It allows you to command an entire army of AI agents My Codex, Claude Code, Hermes, and OpenClaw agents all work together in one place to do mind blowing work In this video I cover how it works and how you can get 100x productivity from it:

Buzz from jack is the future of AI It allows you to command an entire army of AI agents My Codex, Claude Code, Hermes, and OpenClaw agents all work together in one place to do mind blowing work In this video I cover how it works and how you can get 100x productivity from it:

Alex Finn

495,417 Aufrufe • vor 21 Tagen

you've never watched one prompt, turn into a finished thing while you did nothing you've watched Claude work, sure one step, your approval, the next step, you steering the whole way that isn't the same as handing off a job, coming back to a result that already checked itself sixteen agents on one task, tearing holes in each other's work until the answer holds, summary waiting when you look up the work happened you just weren't the one carrying it

you've never watched one prompt, turn into a finished thing while you did nothing you've watched Claude work, sure one step, your approval, the next step, you steering the whole way that isn't the same as handing off a job, coming back to a result that already checked itself sixteen agents on one task, tearing holes in each other's work until the answer holds, summary waiting when you look up the work happened you just weren't the one carrying it

Lagosaur

26,218 Aufrufe • vor 1 Monat

these guys are making Claude, Hermes, and DeepSeek argue with each other instead of just agreeing with you. this is the practical future of agent teams. with Bloome you just pick a task template, and it spins up a full agent team in a group chat to collaborate and get the job done. research, review, writing, market analysis, or anything you want. they brainstorm, review, and plan together. meanwhile, you or other human teammates can steer them or jump in, and stay in the same conversation so nothing gets lost across tools. since this is actual work, Bloome works across web, mobile, and desktop. try the desktop app first if you're using it seriously. same flexibility on the agent side too, you can connect any agents you want: ChatGPT, OpenClaw, Gemini… check them out →

these guys are making Claude, Hermes, and DeepSeek argue with each other instead of just agreeing with you. this is the practical future of agent teams. with Bloome you just pick a task template, and it spins up a full agent team in a group chat to collaborate and get the job done. research, review, writing, market analysis, or anything you want. they brainstorm, review, and plan together. meanwhile, you or other human teammates can steer them or jump in, and stay in the same conversation so nothing gets lost across tools. since this is actual work, Bloome works across web, mobile, and desktop. try the desktop app first if you're using it seriously. same flexibility on the agent side too, you can connect any agents you want: ChatGPT, OpenClaw, Gemini… check them out →

ℏεsam

62,794 Aufrufe • vor 1 Monat

It’s wild watching AI Agents work with software. Here’s ChatGPT connected to Box running a deep research task on market analysis documents. The future is just giving AI Agents the data and systems to comb through and having them work for you in the background.

It’s wild watching AI Agents work with software. Here’s ChatGPT connected to Box running a deep research task on market analysis documents. The future is just giving AI Agents the data and systems to comb through and having them work for you in the background.

Aaron Levie

235,980 Aufrufe • vor 1 Jahr

🚀 Global Launch: Jarvix, Your Context OS is now live! Meet the next generation of personalized AI built around your context, your taste, and your way of thinking. #JarvixOS transforms how you work with AI by understanding your patterns, carrying your context across agents, and helping you move from ideas to action. Step into a new era of AI collaboration: • Discover your AI-native archetype • Build your personal AI model from your evolving AI interactions • Never start from zero - your context moves with you across sessions • Coordinate Codex, Claude Code, Gemini, Hermes, OpenClaw, and more as one connected AI team. • Turn insights into your next move, with you always in control Instead of adapting yourself to every agent, Jarvix carries the context you choose, helps you understand what it reveals, and brings the right agents together when you decide to act. Your AI tools shouldn’t work like separate assistants. They should work like one team. That’s the future of AI: Not more agents. One shared context. One Jarvix.

🚀 Global Launch: Jarvix, Your Context OS is now live! Meet the next generation of personalized AI built around your context, your taste, and your way of thinking. #JarvixOS transforms how you work with AI by understanding your patterns, carrying your context across agents, and helping you move from ideas to action. Step into a new era of AI collaboration: • Discover your AI-native archetype • Build your personal AI model from your evolving AI interactions • Never start from zero - your context moves with you across sessions • Coordinate Codex, Claude Code, Gemini, Hermes, OpenClaw, and more as one connected AI team. • Turn insights into your next move, with you always in control Instead of adapting yourself to every agent, Jarvix carries the context you choose, helps you understand what it reveals, and brings the right agents together when you decide to act. Your AI tools shouldn’t work like separate assistants. They should work like one team. That’s the future of AI: Not more agents. One shared context. One Jarvix.

Jarvix

1,686,504 Aufrufe • vor 9 Tagen

I launched Grok Bot for 24 hours, gave it 3 jobs, and stopped treating AI like a chatbot. I had it scan live X + web data for emerging AI products, research what people were actually saying about them, filter the obvious engagement bait, compare sources and turn the strongest signals into a structured brief. At the same time, I could have separate research paths looking at competitors, code or market opportunities instead of forcing everything through one conversation. That’s the difference I underestimated. I don’t want to sit inside a chat writing another prompt every 5 minutes. I want to define the objective, give the agent access to the right tools and data, let it execute, then step back in when judgment or approval is actually needed. The old workflow was prompt → answer → copy → repeat. The workflow I’m moving toward is assign → execute → verify. Once AI stops waiting for your next message, it stops feeling like software you use and starts feeling like work you delegated.

I launched Grok Bot for 24 hours, gave it 3 jobs, and stopped treating AI like a chatbot. I had it scan live X + web data for emerging AI products, research what people were actually saying about them, filter the obvious engagement bait, compare sources and turn the strongest signals into a structured brief. At the same time, I could have separate research paths looking at competitors, code or market opportunities instead of forcing everything through one conversation. That’s the difference I underestimated. I don’t want to sit inside a chat writing another prompt every 5 minutes. I want to define the objective, give the agent access to the right tools and data, let it execute, then step back in when judgment or approval is actually needed. The old workflow was prompt → answer → copy → repeat. The workflow I’m moving toward is assign → execute → verify. Once AI stops waiting for your next message, it stops feeling like software you use and starts feeling like work you delegated.

Lummox

2,572,445 Aufrufe • vor 1 Tag

This is one of the wildest things I’ve ever seen. You literally watch multiple agents inside Bloome work together on your design tasks. What’s happening here is kind of unreal: They refine, debate and build right in front of you while you sit back and watch. My goodness.

This is one of the wildest things I’ve ever seen. You literally watch multiple agents inside Bloome work together on your design tasks. What’s happening here is kind of unreal: They refine, debate and build right in front of you while you sit back and watch. My goodness.

Brett

86,622 Aufrufe • vor 1 Monat

With ChatGPT Work, you can kick off cloud tasks directly from the desktop or mobile app. It can use your configured plugins to work across your repos, docs, Slack, and the other tools you already use. I use it constantly from my phone: hand off a task, let it run asynchronously in the cloud, and come back when the work is done.

With ChatGPT Work, you can kick off cloud tasks directly from the desktop or mobile app. It can use your configured plugins to work across your repos, docs, Slack, and the other tools you already use. I use it constantly from my phone: hand off a task, let it run asynchronously in the cloud, and come back when the work is done.

Vaibhav (VB) Srivastav

37,684 Aufrufe • vor 1 Monat

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on The Startup Ideas Podcast (SIP) 🧃 was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on The Startup Ideas Podcast (SIP) 🧃 was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch

GREG ISENBERG

376,293 Aufrufe • vor 5 Monaten

i merged all my AI agents into one brain Claude Code, Codex, Gemini: one team, one memory, zero re-briefing result: 8+ hours a week back, and every agent already knows my projects, my clients and how i think here's the setup with Jarvix: 1. dump your context once: projects, clients, writing style, how you make decisions.. it builds your personal model from your actual AI interactions 2. switch agents mid-task with zero re-briefing: Claude Code builds, Codex reviews, Gemini researches, all reading the same context 3. it carries what YOU choose across sessions.. never start a chat from zero again 4. when it's time to act, it pulls the right agents together as one team instead of five separate assistants the unlock isn't another agent. it's that your context finally travels agents without shared memory are five interns on their first day, forever. agents with it are a team that's worked with you for years not more agents. one shared context that's the right bet P.S. thanks to the Jarvix team for the early access

i merged all my AI agents into one brain Claude Code, Codex, Gemini: one team, one memory, zero re-briefing result: 8+ hours a week back, and every agent already knows my projects, my clients and how i think here's the setup with Jarvix: 1. dump your context once: projects, clients, writing style, how you make decisions.. it builds your personal model from your actual AI interactions 2. switch agents mid-task with zero re-briefing: Claude Code builds, Codex reviews, Gemini researches, all reading the same context 3. it carries what YOU choose across sessions.. never start a chat from zero again 4. when it's time to act, it pulls the right agents together as one team instead of five separate assistants the unlock isn't another agent. it's that your context finally travels agents without shared memory are five interns on their first day, forever. agents with it are a team that's worked with you for years not more agents. one shared context that's the right bet P.S. thanks to the Jarvix team for the early access

Ronin

14,717 Aufrufe • vor 9 Tagen

this guy built an app where AI agents autonomously create tasks, review each other's work, and message each other you just sit there and watch everything happen on a dashboard in real time agents: > assign work to other agents > review the output > send messages back and forth. > flag issues and iterate. you're basically watching a team operate without you. there are endless opportunities to automate your life with this AND its free + open source.

this guy built an app where AI agents autonomously create tasks, review each other's work, and message each other you just sit there and watch everything happen on a dashboard in real time agents: > assign work to other agents > review the output > send messages back and forth. > flag issues and iterate. you're basically watching a team operate without you. there are endless opportunities to automate your life with this AND its free + open source.

Om Patel

28,547 Aufrufe • vor 4 Monaten

Congrats! Today, your team gets stronger, faster, bigger, and better. Reintroducing - the AI work platform where people and agents work together as one team. You set the goals, and your agents get the work DONE: research, tickets, reports, follow-ups, budget tracking, and so (so, so) much more. ✅ Easy to build ✅ Always on ✅ Fully under your control And we're just getting started. Over the coming weeks, we'll walk you through new ideas on how to leverage agents in your work, build-along sessions, and handy tips from our agents experts.

Congrats! Today, your team gets stronger, faster, bigger, and better. Reintroducing - the AI work platform where people and agents work together as one team. You set the goals, and your agents get the work DONE: research, tickets, reports, follow-ups, budget tracking, and so (so, so) much more. ✅ Easy to build ✅ Always on ✅ Fully under your control And we're just getting started. Over the coming weeks, we'll walk you through new ideas on how to leverage agents in your work, build-along sessions, and handy tips from our agents experts.

monday.com

27,491 Aufrufe • vor 3 Monaten

Google Brain founder, Andrew Ng: "One of the most important skills of the future is the ability to tell a computer exactly what you want so it can do it for you." In this talk, he explains why the biggest opportunity isn't just using AI. It's learning how to turn work into agentic workflows, break tasks into steps, give agents the right tools and context, add evals, and make the whole system reliable. That's the difference between prompting an AI and engineering an agent that actually works. Watch it today, then read the full guide in the article below.

Google Brain founder, Andrew Ng: "One of the most important skills of the future is the ability to tell a computer exactly what you want so it can do it for you." In this talk, he explains why the biggest opportunity isn't just using AI. It's learning how to turn work into agentic workflows, break tasks into steps, give agents the right tools and context, add evals, and make the whole system reliable. That's the difference between prompting an AI and engineering an agent that actually works. Watch it today, then read the full guide in the article below.

Rahul

14,431 Aufrufe • vor 13 Tagen

EVERYTHING you NEED to know about Jack Dorsey's AI agent "Slack killer" Buzz (set up, use-cases etc in 38 mins) What we get into: 1. What Buzz actually is and should founders switch from Slack? 2. How to swap the model under any agent and keep all your context? 3. How to talk to your agents live with audio huddles? 4. How to get agents to build and deploy real apps for you, like a full CRM from one ask? 5. How to set up the context loop that feeds your live app data back to your agents? 6. How to share compute so a few people split one machine running a local model? 7. Who it's actually for right now, and what's still rough? Full breakdown on the pod The Startup Ideas Podcast (SIP) 🧃. Thanks to Vinny for jumping on and clearly explaining jack and team's latest product. My TLDR take is Buzz is a glimpse into the future of work. Some of you will roll your eyes at that, and I get it, it's alpha software and it's slow in places. But the core idea, that your context is the foundation and agents build out from there, is right, and that's worth seeing early. Watch Curious what you think

EVERYTHING you NEED to know about Jack Dorsey's AI agent "Slack killer" Buzz (set up, use-cases etc in 38 mins) What we get into: 1. What Buzz actually is and should founders switch from Slack? 2. How to swap the model under any agent and keep all your context? 3. How to talk to your agents live with audio huddles? 4. How to get agents to build and deploy real apps for you, like a full CRM from one ask? 5. How to set up the context loop that feeds your live app data back to your agents? 6. How to share compute so a few people split one machine running a local model? 7. Who it's actually for right now, and what's still rough? Full breakdown on the pod The Startup Ideas Podcast (SIP) 🧃. Thanks to Vinny for jumping on and clearly explaining jack and team's latest product. My TLDR take is Buzz is a glimpse into the future of work. Some of you will roll your eyes at that, and I get it, it's alpha software and it's slow in places. But the core idea, that your context is the foundation and agents build out from there, is right, and that's worth seeing early. Watch Curious what you think

GREG ISENBERG

554,775 Aufrufe • vor 24 Tagen

bankr isn't a gimmick, it's a glimpse into the future. bankr works asynchronously, handling tasks in the background while you do something else. it's a new tool in the toolbox. tell it to swap coins and walk away. place a limit order, then go grab a coffee. airdrop tokens from the social feed and move on with your day. bridge assets from one chain to another—all with a simple message. the future belongs to ai agents that simplify and enhance our lives. some products fade, others reshape the way we live and work. bankr is here to stay—it's one of those rare tools that can truly transform how humans interact with crypto.

bankr isn't a gimmick, it's a glimpse into the future. bankr works asynchronously, handling tasks in the background while you do something else. it's a new tool in the toolbox. tell it to swap coins and walk away. place a limit order, then go grab a coffee. airdrop tokens from the social feed and move on with your day. bridge assets from one chain to another—all with a simple message. the future belongs to ai agents that simplify and enhance our lives. some products fade, others reshape the way we live and work. bankr is here to stay—it's one of those rare tools that can truly transform how humans interact with crypto.

deployer

19,881 Aufrufe • vor 1 Jahr