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If you’re still using AI like a chatbot, you’re under-utilizing it. Spine AI isn’t one assistant. It’s an AI workforce you control. You don’t just get suggestions. You delegate work to multiple specialised agents — running in parallel — and watch them execute in real time. Give it a...

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sabir hussain

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19,623 Aufrufe • vor 6 Monaten •via X (Twitter)

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Palantir CEO Alex Karp says people think we’re in an AI bubble because a lot of AI just doesn’t work: “If you just buy LLMs off the shelf and try to do any of this, it won’t work.” “It’s not precise enough. You can’t do underwriting. You can’t do these things that are regulated.” “People have tried things that just can never work. You buy a LLM, put it on your stack, and wonder why it’s not working.” “What you’re going to see, especially in America, is people trying to do something like Ontology by hand.” “Once you build a software layer to orchestrate and manage the LLMs in a language your enterprise understands, you actually can create value.” “There’s a lot of discussion on if we’re in an AI bubble. What is the meaning of this bubble? If anything, we’re just in a lag. There’s a lot of AI, some of it works.” “Go back to the battlefield context: everybody in the world assumed this would not work. But now it does work. Now the question is, ‘How can I get it to work for my country?’” “Palantir barely has a sales force. In fact, it seems to be getting smaller and smaller every time I go see them.”
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Stop using AI like a chatbot. It can literally run your research for you. They don’t work. They just… talk. Until now. I tested a setup that actually executes tasks: → Claude Code plans → XCrawl fetches real-time data → AI analyzes + delivers insights No fluff. Just output. I gave it a real task: “Analyze top candle brands, pricing & trends” What happened next was wild 👇 Instead of guessing: XCrawl: → searched competitors → crawled real product pages → returned structured data Claude: → compared pricing → spotted trends → delivered insights Result (in minutes): - actual price ranges - best-selling product types - real positioning strategies No tabs. No copy-paste. No manual research. This is the real shift: Old AI: “Here’s an answer.” New AI: “I’ve already done the work.” If you’re still using AI like Google… you’re already behind. Try it yourself (free 1,000 credits): Docs:

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You can spin up an AI workforce with one prompt. Here's why it works: it pulls the context the AI needs to lay the foundation. Give it: - your role - team size - the goals you want to hit. Then say "interview me." After that, build it out in four steps: 1) Start with 1 agent. - What does it feel like to work with one? 2) Make that agent proactive. - Now it's doing things on your behalf before you ask. 3) Expand to 2 agents. - One directs the other, or routes to it. - This is where you learn how context gets passed. 4) Scale the workforce. - A mission control where you watch it all move around. - Now you see what has to run in parallel, which agent never needed that tool, which one runs fine on a smaller model. - Not everything needs Opus. Sub-agents are haiku and sonnet. The catch: the prompt gets you agents with markdown files doing some stuff. Getting to the 90% plus level is iteration, and that part is specific to each person. Nobody can hand it to you. Start with one agent. Spin up one agent this week. The rest is discovery.
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You can spin up an AI workforce with one prompt. Here's why it works: it pulls the context the AI needs to lay the foundation. Give it: - your role - team size - the goals you want to hit. Then say "interview me." After that, build it out in four steps: 1) Start with 1 agent. - What does it feel like to work with one? 2) Make that agent proactive. - Now it's doing things on your behalf before you ask. 3) Expand to 2 agents. - One directs the other, or routes to it. - This is where you learn how context gets passed. 4) Scale the workforce. - A mission control where you watch it all move around. - Now you see what has to run in parallel, which agent never needed that tool, which one runs fine on a smaller model. - Not everything needs Opus. Sub-agents are haiku and sonnet. The catch: the prompt gets you agents with markdown files doing some stuff. Getting to the 90% plus level is iteration, and that part is specific to each person. Nobody can hand it to you. Start with one agent. Spin up one agent this week. The rest is discovery.

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this is f**king dangerous 19-year-old makes $50,000 a month selling AI agents to business owners at $10,000-15,000 a call. His secret - he never sells AI. He sells pain. Not "our agent uses the latest technology" - but "how much are you paying your receptionist right now? $60,000 a year. Over 10 years - $600,000. How many calls are you missing every day and how much revenue is that costing you annually?" When the client calculates their own losses - $12,000-15,000 for an AI agent that never misses calls, never gets sick and answers everyone simultaneously sounds like an investment not an expense. AI builds these agents at a fraction of the cost - 300 parallel sub-agents, $0.60 per million tokens versus $5 with Claude, 12-hour autonomous sessions with zero human involvement. One prompt and a reception agent is ready. He closes 3-4 clients a month. Each one pays once and the agent runs for years.
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this is f**king dangerous 19-year-old makes $50,000 a month selling AI agents to business owners at $10,000-15,000 a call. His secret - he never sells AI. He sells pain. Not "our agent uses the latest technology" - but "how much are you paying your receptionist right now? $60,000 a year. Over 10 years - $600,000. How many calls are you missing every day and how much revenue is that costing you annually?" When the client calculates their own losses - $12,000-15,000 for an AI agent that never misses calls, never gets sick and answers everyone simultaneously sounds like an investment not an expense. AI builds these agents at a fraction of the cost - 300 parallel sub-agents, $0.60 per million tokens versus $5 with Claude, 12-hour autonomous sessions with zero human involvement. One prompt and a reception agent is ready. He closes 3-4 clients a month. Each one pays once and the agent runs for years.

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Haider Anis

213,477 Aufrufe • vor 4 Monaten

Meta's Chief AI Officer: "People will have one, maybe two agents they rely on for everything. More and more of your personal life and work." In a few years "do you have an agent" will sound like "do you have an email address." The clearest 20 minutes you'll find on where AI agents are headed. Watch it, then read the guide on how to create your own AI agent step by step below.
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Anatoli Kopadze

86,432 Aufrufe • vor 1 Monat

Most AI products help you create content. The best ones feel like real AI teammates working with you. I've been exploring Helio lately, and the biggest shift wasn't speed—it was how naturally it fits into a team-like workflow. You don’t just generate slides or content alone. You collaborate with AI teammates that help you structure ideas, refine messaging, and turn rough inputs into a clear narrative. For example, you can start with scattered notes, and an AI teammate helps you shape the story, another refines visuals, and another polishes the final output like a real creative team working in sync. Less solo building. More team-driven creation. Try Helio and build with AI teammates instead of just using tools.
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Most AI products help you create content. The best ones feel like real AI teammates working with you. I've been exploring Helio lately, and the biggest shift wasn't speed—it was how naturally it fits into a team-like workflow. You don’t just generate slides or content alone. You collaborate with AI teammates that help you structure ideas, refine messaging, and turn rough inputs into a clear narrative. For example, you can start with scattered notes, and an AI teammate helps you shape the story, another refines visuals, and another polishes the final output like a real creative team working in sync. Less solo building. More team-driven creation. Try Helio and build with AI teammates instead of just using tools.

RAVI KUMAR SAHU

34,782 Aufrufe • vor 2 Monaten

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.
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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 Aufrufe • vor 1 Monat

this is f**king insane. Jack Dorsey just open sourced a free tool for running a one-person business. the GitHub repo already has 14.4K stars. It lets you: → run your own server → keep chat, search, Git, and automation in one place → add AI agents that work like teammates → decide exactly what each agent can do no monthly subscriptions. just you, your AI agents, and full control. this is where one-person businesses are headed. save this for later.
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this is f**king insane. Jack Dorsey just open sourced a free tool for running a one-person business. the GitHub repo already has 14.4K stars. It lets you: → run your own server → keep chat, search, Git, and automation in one place → add AI agents that work like teammates → decide exactly what each agent can do no monthly subscriptions. just you, your AI agents, and full control. this is where one-person businesses are headed. save this for later.

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706,383 Aufrufe • vor 25 Tagen

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AshutoshShrivastava

67,085 Aufrufe • vor 5 Monaten