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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... show more

I Am Devloper

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64,025 次观看 • 1 个月前 •via X (Twitter)

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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 次观看 • 1 个月前

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 with the AI agents and work on the task together, in one place. And the agents don't just answer, they check each other's work. One drafts, another pushes back, another catches what's missing. This isn't the future. it's Bloome.

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 with the AI agents and work on the task together, in one place. And the agents don't just answer, they check each other's work. One drafts, another pushes back, another catches what's missing. This isn't the future. it's Bloome.

Anatoli Kopadze

58,297 次观看 • 1 个月前

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 次观看 • 1 个月前

Everyone is building AI agents. Buda is building AI teams. Not one chatbot. Not one coding agent. A full workspace where multiple AI agents can collaborate, share context, access files, use tools, and execute real work together. Here’s what stood out 👇

Everyone is building AI agents. Buda is building AI teams. Not one chatbot. Not one coding agent. A full workspace where multiple AI agents can collaborate, share context, access files, use tools, and execute real work together. Here’s what stood out 👇

Pradeep Pandey

47,879 次观看 • 2 个月前

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 次观看 • 1 个月前

I’m usually skeptical of “AI workspace” products, but Bloome has a few ideas I actually like: You can put humans + multiple agents in the same conversation. One agent can draft something, another can poke holes in it, and another can clean up the final version. You can also bring in different agents/models like Claude, ChatGPT, DeepSeek, etc. instead of constantly bouncing between tabs. And because the whole conversation stays in context, teammates can join later and still understand how the work got to the final output. It also works across web, desktop, and mobile, though if you’re using it for real work, I’d especially recommend trying the desktop app. Feels closer to how real teams actually work.

I’m usually skeptical of “AI workspace” products, but Bloome has a few ideas I actually like: You can put humans + multiple agents in the same conversation. One agent can draft something, another can poke holes in it, and another can clean up the final version. You can also bring in different agents/models like Claude, ChatGPT, DeepSeek, etc. instead of constantly bouncing between tabs. And because the whole conversation stays in context, teammates can join later and still understand how the work got to the final output. It also works across web, desktop, and mobile, though if you’re using it for real work, I’d especially recommend trying the desktop app. Feels closer to how real teams actually work.

AI Breakfast

78,285 次观看 • 1 个月前

I thought I was testing another AI website builder. I was wrong. Teamily AI turns ideas into interactive experiences inside a shared conversation where people and AI agents can work together in the same space. Instead of creating something alone, teammates can join the discussion, bring in AI specialists, and refine the result together. The interesting part isn't just what AI creates... It's how humans and AI collaborate to build it. From the first idea to the final experience everyone stays connected through one shared workflow. 🔗 Teamily AI

I thought I was testing another AI website builder. I was wrong. Teamily AI turns ideas into interactive experiences inside a shared conversation where people and AI agents can work together in the same space. Instead of creating something alone, teammates can join the discussion, bring in AI specialists, and refine the result together. The interesting part isn't just what AI creates... It's how humans and AI collaborate to build it. From the first idea to the final experience everyone stays connected through one shared workflow. 🔗 Teamily AI

marcus

33,863 次观看 • 1 个月前

🚨Why rely on one AI when you can have four working together? A new messaging platform brings **Claude, ChatGPT, Gemini, and DeepSeek** into the same conversation. One drafts, another critiques, another fills the gaps—so what you get is a stronger, more polished final result. Here's how Bloome makes collaborative AI possible :

🚨Why rely on one AI when you can have four working together? A new messaging platform brings Claude, ChatGPT, Gemini, and DeepSeek into the same conversation. One drafts, another critiques, another fills the gaps—so what you get is a stronger, more polished final result. Here's how Bloome makes collaborative AI possible :

Tom

15,498 次观看 • 1 个月前

HERMES JUST GOT A DESKTOP APP THAT TURNS AI AGENTS INTO A FULL VIRTUAL WORKSPACE. The setup lets users manage multiple agents, switch model providers, sync sessions across platforms, and connect tools like Telegram and Discord from one interface.

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19,910 次观看 • 10 天前

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92,904 次观看 • 1 个月前

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Anthropic engineer showed how one person can run 5 AI agents, that code, test, review, and deploy at the same time. In 30 minutes they built the whole thing live in one session. Here's what they cover: > when to use one agent vs a full team > how to split work so agents don't step on each other > the exact framework for deciding what each agent handles that's exactly why, I put together a guide on building agent teams that actually work. full guide in the article below 👇

darkzodchi

843,371 次观看 • 3 个月前

AI agents can already work, create, and earn. Now they have a marketplace. Introducing OKX AI: where agents discover work, hire each other, complete tasks, and get paid onchain. The one-person company just got an agentic workforce. Start here:

AI agents can already work, create, and earn. Now they have a marketplace. Introducing OKX AI: where agents discover work, hire each other, complete tasks, and get paid onchain. The one-person company just got an agentic workforce. Start here:

OKX

819,424 次观看 • 1 个月前

somebody just torched their entire career for us someone inside Anthropic wrote down exactly how they wire their AIs to work as a team instead of one at a time, every number, and let the whole thing walk out the door it's called Graph Engineering: you stop asking one AI to do the whole job and start running a crew. one plans, a few go and look, one checks the others for lies their own measurement: the crew came back with 96% of the quality at 46% of the price. same models, same question. they only changed who is allowed to talk to whom Anthropic raised $65,000,000,000 to figure this out. it costs you $0 run one tonight in a normal chat, 3 moves: 1. give it the job and make it write the plan before it touches anything 2. run each step in its own fresh chat so nothing bleeds into the next 3. in one clean chat at the end, make it check the work against sources and mark whatever it could not confirm save this, then open the piece below: how many workers a job actually needs, and where one more starts making it worse ↓

somebody just torched their entire career for us someone inside Anthropic wrote down exactly how they wire their AIs to work as a team instead of one at a time, every number, and let the whole thing walk out the door it's called Graph Engineering: you stop asking one AI to do the whole job and start running a crew. one plans, a few go and look, one checks the others for lies their own measurement: the crew came back with 96% of the quality at 46% of the price. same models, same question. they only changed who is allowed to talk to whom Anthropic raised $65,000,000,000 to figure this out. it costs you $0 run one tonight in a normal chat, 3 moves: 1. give it the job and make it write the plan before it touches anything 2. run each step in its own fresh chat so nothing bleeds into the next 3. in one clean chat at the end, make it check the work against sources and mark whatever it could not confirm save this, then open the piece below: how many workers a job actually needs, and where one more starts making it worse ↓

Argona

1,375,150 次观看 • 9 天前

THIS GUY TURNED ONE OBSIDIAN VAULT INTO A SHARED BRAIN FOR 5 CLAUDE AGENTS BUILT TO HANDLE 80% OF A SOLO DEVELOPER’S WORK. 00:03 he zooms out and hundreds of connected notes appear on screen. it is the perfect visual for Claude working from one shared project memory instead of starting from zero every session. most developers give Claude 1 file and 1 prompt. this setup gives it the architecture, coding rules, tests, client briefs, and previous decisions before it writes anything. obsidian becomes the memory layer, storing everything in markdown files Claude can read alongside the codebase. every agent works from the same context instead of repeating the same questions. then 5 specialists split the job. one researches, one plans, one codes, one reviews, and one deploys while the developer only controls the important decisions. one vault, 5 agents, 2 model tiers, and a $50 to $150 monthly stack can turn Claude from a chatbot into a small development team.

THIS GUY TURNED ONE OBSIDIAN VAULT INTO A SHARED BRAIN FOR 5 CLAUDE AGENTS BUILT TO HANDLE 80% OF A SOLO DEVELOPER’S WORK. 00:03 he zooms out and hundreds of connected notes appear on screen. it is the perfect visual for Claude working from one shared project memory instead of starting from zero every session. most developers give Claude 1 file and 1 prompt. this setup gives it the architecture, coding rules, tests, client briefs, and previous decisions before it writes anything. obsidian becomes the memory layer, storing everything in markdown files Claude can read alongside the codebase. every agent works from the same context instead of repeating the same questions. then 5 specialists split the job. one researches, one plans, one codes, one reviews, and one deploys while the developer only controls the important decisions. one vault, 5 agents, 2 model tiers, and a $50 to $150 monthly stack can turn Claude from a chatbot into a small development team.

Gipp 🦅

10,776 次观看 • 1 个月前

Documents shouldn’t be static files anymore. Over the last days I’ve been testing Felo LiveDoc Felo AI (EN) – an Agent Workspace for Documents where humans and AI agents work together on one intelligent canvas. It’s quickly becoming one of the most interesting ways to run complex projects end-to-end. First, I transformed the well-known "Attention all you need" into a PowerPoint presentation:

Documents shouldn’t be static files anymore. Over the last days I’ve been testing Felo LiveDoc Felo AI (EN) – an Agent Workspace for Documents where humans and AI agents work together on one intelligent canvas. It’s quickly becoming one of the most interesting ways to run complex projects end-to-end. First, I transformed the well-known "Attention all you need" into a PowerPoint presentation:

Chubby♨️

64,441 次观看 • 8 个月前

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 次观看 • 1 个月前

Give your AI agents a place to work. "The Delegation" is a 3D workspace where AI agents don't just chat, they collaborate in a living office. You can play with different teams: a Creative Agency, a Music Studio, or a Game Dev Team. 🧵Link to Demo & Code in the thread below👇

Give your AI agents a place to work. "The Delegation" is a 3D workspace where AI agents don't just chat, they collaborate in a living office. You can play with different teams: a Creative Agency, a Music Studio, or a Game Dev Team. 🧵Link to Demo & Code in the thread below👇

Arturo Paracuellos

21,902 次观看 • 5 个月前

open Claude Code type a prompt. one model does everything. congrats, you just used 20% of it meanwhile I built 30 sub-agents one reviews my code before commit one finds bugs and writes the patch one drafts cold emails from one line one triages my inbox before I wake up one logs every decision so future me knows why each agent = one markdown file in .claude/agents/ most Claude Code users don't even know this exists. all 30 files in the article. ready to copy. the article has every file. every prompt. just copy and run.

open Claude Code type a prompt. one model does everything. congrats, you just used 20% of it meanwhile I built 30 sub-agents one reviews my code before commit one finds bugs and writes the patch one drafts cold emails from one line one triages my inbox before I wake up one logs every decision so future me knows why each agent = one markdown file in .claude/agents/ most Claude Code users don't even know this exists. all 30 files in the article. ready to copy. the article has every file. every prompt. just copy and run.

Nav Toor

71,467 次观看 • 3 个月前

Stop working for your AI. 🛑 Most tools turn you into a prompt assembly line foreman. Time to be the BOSS. Introducing @Bika_ai: The Messenger for AI Agents. Manage your entire AI workforce in one chat. 🧵👇

Stop working for your AI. 🛑 Most tools turn you into a prompt assembly line foreman. Time to be the BOSS. Introducing @Bika_ai: The Messenger for AI Agents. Manage your entire AI workforce in one chat. 🧵👇

ALICE ⚡ | AI Growth Mentor

80,861 次观看 • 8 个月前