Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

🚀 We've just shipped our new AI-powered research agent Deploy it in any Attio workflow to automate nuanced tasks that typically require human judgment, like prospecting, lead qualification, and more. Whether you're PLG or sales-led, here's a sample of what you can do:

Attio

11,117 subscribers

11,249 просмотров • 1 год назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Introducing Attio Objects 🚀 We know how hard it is to find a CRM that fits your unique business model. That's why we built Attio Objects – our powerful data model with custom objects that gives you complete flexibility to structure your CRM exactly how you need it. Along with custom objects, we've also introduced new standard objects: - Workspaces and Users objects for PLG businesses. - A robust Deals object for sales-driven companies. This is the culmination of a 4-year effort, with 3 years of work put in even before launching Attio. Since day one, we've been determined to solve the fundamental problem in the CRM space: the trade-off between power and time-to-value. If you wanted power and flexibility, your CRM would take forever to build and not work well with your stack. If you wanted speed, you'd need to use highly opinionated, inflexible software that doesn't really work for your business. That ends today. With Attio, you no longer have to compromise. Build your CRM your way, fast. Iterate as you grow. High-growth startups like Replicate, , and Modal and more are already using Attio's object architecture to perfectly match their businesses and accelerate their growth. To get all the details, check out our blog post 👇

Introducing Attio Objects 🚀 We know how hard it is to find a CRM that fits your unique business model. That's why we built Attio Objects – our powerful data model with custom objects that gives you complete flexibility to structure your CRM exactly how you need it. Along with custom objects, we've also introduced new standard objects: - Workspaces and Users objects for PLG businesses. - A robust Deals object for sales-driven companies. This is the culmination of a 4-year effort, with 3 years of work put in even before launching Attio. Since day one, we've been determined to solve the fundamental problem in the CRM space: the trade-off between power and time-to-value. If you wanted power and flexibility, your CRM would take forever to build and not work well with your stack. If you wanted speed, you'd need to use highly opinionated, inflexible software that doesn't really work for your business. That ends today. With Attio, you no longer have to compromise. Build your CRM your way, fast. Iterate as you grow. High-growth startups like Replicate, , and Modal and more are already using Attio's object architecture to perfectly match their businesses and accelerate their growth. To get all the details, check out our blog post 👇

Attio

26,821 просмотров • 2 лет назад

Attio x @Linear Capture feedback, ship with context. → Log customer requests to Linear from any company, person, or deal record in Attio → Highlight text in a call transcript to link the customer voice and meeting to an issue Download now:

Attio x @Linear Capture feedback, ship with context. → Log customer requests to Linear from any company, person, or deal record in Attio → Highlight text in a call transcript to link the customer voice and meeting to an issue Download now:

Attio

11,551 просмотров • 11 месяцев назад

“When you connect nodes together, you're designing a workflow that moves and thinks like you do.” Learn the basics in our Intro to Fuser: A Visual Workspace for AI-Powered Creative Workflows. 🔗 ↓

“When you connect nodes together, you're designing a workflow that moves and thinks like you do.” Learn the basics in our Intro to Fuser: A Visual Workspace for AI-Powered Creative Workflows. 🔗 ↓

Fuser

21,284 просмотров • 7 месяцев назад

We just upgraded permissions in Attio. As your CRM holds more data, governance becomes critical. Our upgraded permissions system helps you share visibility, safeguard data, and build trust across your teams. Stay in control while supporting collaboration as you scale.

We just upgraded permissions in Attio. As your CRM holds more data, governance becomes critical. Our upgraded permissions system helps you share visibility, safeguard data, and build trust across your teams. Stay in control while supporting collaboration as you scale.

Attio

10,822 просмотров • 4 месяцев назад

Ask Attio is now in Slack. DM or mention Attio in a channel. Ask anything about your customers and deals without leaving where you already work. Search through records, calls, emails, and conversation history in seconds.

Ask Attio is now in Slack. DM or mention Attio in a channel. Ask anything about your customers and deals without leaving where you already work. Search through records, calls, emails, and conversation history in seconds.

Attio

18,331 просмотров • 4 месяцев назад

Introducing Custom AI Agents (GPTs) Taskade! 🐑 🚀 We've just rolled out our biggest update yet: Custom AI Agents, powered by GPT-4 Turbo! Ready to meet your new digital workforce? Build your team of AI Agents with /agent commands. Collaborate directly in Taskade and more!

Introducing Custom AI Agents (GPTs) Taskade! 🐑 🚀 We've just rolled out our biggest update yet: Custom AI Agents, powered by GPT-4 Turbo! Ready to meet your new digital workforce? Build your team of AI Agents with /agent commands. Collaborate directly in Taskade and more!

Taskade

547,547 просмотров • 2 лет назад

Wow. Alibaba just quietly released one of the most useful AI products of all time. It's an AI agent that you can install instantly in any browser to do tasks for you using Qwen 3.5. No setup, no token costs, 100% free and open source. Try it now:

Wow. Alibaba just quietly released one of the most useful AI products of all time. It's an AI agent that you can install instantly in any browser to do tasks for you using Qwen 3.5. No setup, no token costs, 100% free and open source. Try it now:

Mark Gadala-Maria

148,175 просмотров • 4 месяцев назад

🚀Introducing Voice Calls on Linky!🚀 Now you can talk to your favorite AI characters just like a real phone call. Whether you're looking to enhance your stories, practice languages, or add excitement to your RPGs, our characters are ready to chat. Try it now on our app [Link in bio]! #LinkyApp #VoiceCalls #AIChat #InteractiveStorytelling

🚀Introducing Voice Calls on Linky!🚀 Now you can talk to your favorite AI characters just like a real phone call. Whether you're looking to enhance your stories, practice languages, or add excitement to your RPGs, our characters are ready to chat. Try it now on our app [Link in bio]! #LinkyApp #VoiceCalls #AIChat #InteractiveStorytelling

Linky

34,607 просмотров • 1 год назад

Stop spending hours on manual work. You can now use a multi-agent AI workforce to get more work done in less time. Here's how 👇 --- Try Eigent AI - Lets you build and run a custom AI workforce on your desktop. - Automate complex workflows using multi-agent task execution. - Built on CAMEL-AI’s top open-source projects ( CAMEL-AI.org & OWL). - Boost productivity with deep customization and strong privacy --- Features: - Customize Your AI Workforce: Build task-specific agents with domain skills and tools. - Faster Execution: Eigent runs agents in parallel to automate complex workflows. - Human-in-the-loop: Automatically asks for help when tasks hit uncertainty. --- What sets Eigent apart? - 3–5× faster task execution using a parallel multi-agent workforce. - Modular design lets you add new capabilities without changing the core system. - Self-optimizing agents that replan and adapt during execution for higher success. - Deploy anywhere: cloud, local, or enterprise, with full open-source flexibility. --- Try building your multi-agent AI workforce here: Join their community to build your multi-agent workforce: Check their GitHub: ---

Stop spending hours on manual work. You can now use a multi-agent AI workforce to get more work done in less time. Here's how 👇 --- Try Eigent AI - Lets you build and run a custom AI workforce on your desktop. - Automate complex workflows using multi-agent task execution. - Built on CAMEL-AI’s top open-source projects ( CAMEL-AI.org & OWL). - Boost productivity with deep customization and strong privacy --- Features: - Customize Your AI Workforce: Build task-specific agents with domain skills and tools. - Faster Execution: Eigent runs agents in parallel to automate complex workflows. - Human-in-the-loop: Automatically asks for help when tasks hit uncertainty. --- What sets Eigent apart? - 3–5× faster task execution using a parallel multi-agent workforce. - Modular design lets you add new capabilities without changing the core system. - Self-optimizing agents that replan and adapt during execution for higher success. - Deploy anywhere: cloud, local, or enterprise, with full open-source flexibility. --- Try building your multi-agent AI workforce here: Join their community to build your multi-agent workforce: Check their GitHub: ---

Shushant Lakhyani

20,423 просмотров • 11 месяцев назад

Google just built Cowork and called it Agent. And they added one thing Anthropic didn't. You set a goal. It browses the web, digs through your Gmail, checks your Calendar, pulls from Drive then executes the full task. Book a trip. Clear your inbox. Research a market. Done. No back and forth. But here's the part nobody's talking about: There's a toggle "Require a human review." You don't build that unless the plan is to eventually not require it. Google just told you where this ends. I share updates like these in my free AI community on WhatsApp. Join here 👇

Google just built Cowork and called it Agent. And they added one thing Anthropic didn't. You set a goal. It browses the web, digs through your Gmail, checks your Calendar, pulls from Drive then executes the full task. Book a trip. Clear your inbox. Research a market. Done. No back and forth. But here's the part nobody's talking about: There's a toggle "Require a human review." You don't build that unless the plan is to eventually not require it. Google just told you where this ends. I share updates like these in my free AI community on WhatsApp. Join here 👇

Vaibhav Sisinty

252,144 просмотров • 3 месяцев назад

Introducing Call Intelligence Every customer conversation holds critical moments that you can’t afford to miss. But catching them after the fact isn't enough. Today we're launching Call Intelligence — AI that understands your conversations and surfaces insights in real-time. Your live conversations become part of Attio automatically. No separate tools. No manual work. This isn't just about recording calls — it's about transforming your CRM. With Call Intelligence, you can: - Let AI surface insights during calls while you focus on the customer - Catch buying signals, satisfaction cues, and product requests in real-time - Have every conversation become part of your CRM automatically - Find key moments instantly without watching entire recordings Your CRM is now the system of context. Experience the magic yourself:

Introducing Call Intelligence Every customer conversation holds critical moments that you can’t afford to miss. But catching them after the fact isn't enough. Today we're launching Call Intelligence — AI that understands your conversations and surfaces insights in real-time. Your live conversations become part of Attio automatically. No separate tools. No manual work. This isn't just about recording calls — it's about transforming your CRM. With Call Intelligence, you can: - Let AI surface insights during calls while you focus on the customer - Catch buying signals, satisfaction cues, and product requests in real-time - Have every conversation become part of your CRM automatically - Find key moments instantly without watching entire recordings Your CRM is now the system of context. Experience the magic yourself:

Attio

27,951 просмотров • 1 год назад

Introducing Novo Launching today a new project I coded for myself in 1 weekend in May and decided to finish this week. Novo is a dead simple to-do app that lets you "Speech-To-Tasks", or paste a huge text and organize for you. You can customize the AI and make it organize in any criteria: - Auto-tag by category - Schedule some types of tasks to certain days - Prioritize based on your own rules Try it:

Introducing Novo Launching today a new project I coded for myself in 1 weekend in May and decided to finish this week. Novo is a dead simple to-do app that lets you "Speech-To-Tasks", or paste a huge text and organize for you. You can customize the AI and make it organize in any criteria: - Auto-tag by category - Schedule some types of tasks to certain days - Prioritize based on your own rules Try it:

Pedro

76,232 просмотров • 11 месяцев назад

The Gemini 2.0 era is here. And we’re excited for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in G3mini on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖

The Gemini 2.0 era is here. And we’re excited for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in G3mini on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖

Google DeepMind

231,798 просмотров • 1 год назад

no more ad agencies.. in AI world you can now create 100k worth ads for a few bucks, use any actor &product and keep them consistent.. I spent a week to create this workflow, now you can copy and make it your own like & repost -> dm for free here's how it works:

no more ad agencies.. in AI world you can now create 100k worth ads for a few bucks, use any actor &product and keep them consistent.. I spent a week to create this workflow, now you can copy and make it your own like & repost -> dm for free here's how it works:

el.cine

151,468 просмотров • 8 месяцев назад

ClickUp now employs over 100,000 AI AGENTS for our customers. This is from just THREE WEEKS of customers vibe coding full-blown teams of agents, THEMSELVES. BUT there's a problem. Since Super Agents are built agnostically, horizontally, and deeply capable with human-level abilities, you can literally build an agent for anything. We found that MOST of our customers have NO CLUE where to start. This is their very FIRST TIME EVER managing an agent. What I recommend is starting with a PROBLEM. Everybody can think of a problem they have. Just tell Super Agent Builder about your problems... about where you're WASTING time... about what you WISH you could do but you can't because of resource constraints. We've also found that human FEEDBACK and iteration are KEY. After agents are done with their jobs, give them feedback... Was it good? Was it bad? What do you want to see differently? They AUTOMATICALLY SELF-IMPROVE. Every time, they'll continuously get SMARTER. Personally, I find that agents go from AVERAGE intelligence to SUPER-human intelligence within about a month of working with them. Super Agents have truly democratized productivity, empowering literally anyone to build personalized, powerful agents in minutes. What problems do you wish you could solve? What do you not have enough time to get done? What would you like to do but don't have the resources for? What busy work do you wish you could get rid of?

ClickUp now employs over 100,000 AI AGENTS for our customers. This is from just THREE WEEKS of customers vibe coding full-blown teams of agents, THEMSELVES. BUT there's a problem. Since Super Agents are built agnostically, horizontally, and deeply capable with human-level abilities, you can literally build an agent for anything. We found that MOST of our customers have NO CLUE where to start. This is their very FIRST TIME EVER managing an agent. What I recommend is starting with a PROBLEM. Everybody can think of a problem they have. Just tell Super Agent Builder about your problems... about where you're WASTING time... about what you WISH you could do but you can't because of resource constraints. We've also found that human FEEDBACK and iteration are KEY. After agents are done with their jobs, give them feedback... Was it good? Was it bad? What do you want to see differently? They AUTOMATICALLY SELF-IMPROVE. Every time, they'll continuously get SMARTER. Personally, I find that agents go from AVERAGE intelligence to SUPER-human intelligence within about a month of working with them. Super Agents have truly democratized productivity, empowering literally anyone to build personalized, powerful agents in minutes. What problems do you wish you could solve? What do you not have enough time to get done? What would you like to do but don't have the resources for? What busy work do you wish you could get rid of?

Zeb Evans

18,286 просмотров • 5 месяцев назад

Vibe coding apps that require you to store and manage large files just got easier, with Replit ⠕ App Storage. ✨ My favorite example in this category are any PDF analysis apps: create a fully customized AI synthesizer in just a few prompts. App Storage is Replit's Object Storage solution (like Amazon S3 or Google CS). But don't worry if those words sound foreign to you, Agent will set this up for you automatically if your app needs it. On that note, this Agent capability is just the beginning of our efforts to make building apps with databases and storage easier: 👇

Vibe coding apps that require you to store and manage large files just got easier, with Replit ⠕ App Storage. ✨ My favorite example in this category are any PDF analysis apps: create a fully customized AI synthesizer in just a few prompts. App Storage is Replit's Object Storage solution (like Amazon S3 or Google CS). But don't worry if those words sound foreign to you, Agent will set this up for you automatically if your app needs it. On that note, this Agent capability is just the beginning of our efforts to make building apps with databases and storage easier: 👇

vic

27,313 просмотров • 11 месяцев назад

LayerAI AI Agent Manifesto is Live: The Path Forward 🧬 We've made it easy for ecosystem veterans & newcomers to get excited about the market & product opportunity we're tackling next: AI Agent Infrastructure. We're building an AI-powered agent platform where people can deploy, market, and succeed with this new token subcategory. At the heart of this transformation lies a challenge: primitive & so far limited tech & AI capabilities of incumbent platforms. We believe that LayerAI is equipped to rise as the new leading infrastructure provider for this market. LayerAI has already demonstrated market validation for AI Agents and looks to build on what we believe is the very start of this category in web3. 👉 Explore now:

LayerAI AI Agent Manifesto is Live: The Path Forward 🧬 We've made it easy for ecosystem veterans & newcomers to get excited about the market & product opportunity we're tackling next: AI Agent Infrastructure. We're building an AI-powered agent platform where people can deploy, market, and succeed with this new token subcategory. At the heart of this transformation lies a challenge: primitive & so far limited tech & AI capabilities of incumbent platforms. We believe that LayerAI is equipped to rise as the new leading infrastructure provider for this market. LayerAI has already demonstrated market validation for AI Agents and looks to build on what we believe is the very start of this category in web3. 👉 Explore now:

LayerAI | AI2Earn

158,919 просмотров • 1 год назад

Introducing AgentsAI's Token Launcher: a seamless path to bringing your AI agent ideas to life and beyond. Create your own AI agent, train it by simply chatting, and with a few clicks, launch its token to establish a digital identity in a new era of automation. With AgentsAI, you're not just building bots; you're crafting autonomous entities that engage, interact, and generate value. Create, launch, and watch as your AI agent thrives in the market, all with zero coding and maximum impact. This is the future of AI-powered digital personalities — effortless, accessible, and ready to take on the world.

Introducing AgentsAI's Token Launcher: a seamless path to bringing your AI agent ideas to life and beyond. Create your own AI agent, train it by simply chatting, and with a few clicks, launch its token to establish a digital identity in a new era of automation. With AgentsAI, you're not just building bots; you're crafting autonomous entities that engage, interact, and generate value. Create, launch, and watch as your AI agent thrives in the market, all with zero coding and maximum impact. This is the future of AI-powered digital personalities — effortless, accessible, and ready to take on the world.

AgentsAI

119,875 просмотров • 1 год назад

Microsoft presents Windows Agent Arena Evaluating Multi-Modal OS Agents at Scale discuss: Large language models (LLMs) show remarkable potential to act as computer agents, enhancing human productivity and software accessibility in multi-modal tasks that require planning and reasoning. However, measuring agent performance in realistic environments remains a challenge since: (i) most benchmarks are limited to specific modalities or domains (e.g. text-only, web navigation, Q&A, coding) and (ii) full benchmark evaluations are slow (on order of magnitude of days) given the multi-step sequential nature of tasks. To address these challenges, we introduce the Windows Agent Arena: a reproducible, general environment focusing exclusively on the Windows operating system (OS) where agents can operate freely within a real Windows OS and use the same wide range of applications, tools, and web browsers available to human users when solving tasks. We adapt the OSWorld framework (Xie et al., 2024) to create 150+ diverse Windows tasks across representative domains that require agent abilities in planning, screen understanding, and tool usage. Our benchmark is scalable and can be seamlessly parallelized in Azure for a full benchmark evaluation in as little as 20 minutes. To demonstrate Windows Agent Arena's capabilities, we also introduce a new multi-modal agent, Navi. Our agent achieves a success rate of 19.5% in the Windows domain, compared to 74.5% performance of an unassisted human. Navi also demonstrates strong performance on another popular web-based benchmark, Mind2Web. We offer extensive quantitative and qualitative analysis of Navi's performance, and provide insights into the opportunities for future research in agent development and data generation using Windows Agent Arena.

Microsoft presents Windows Agent Arena Evaluating Multi-Modal OS Agents at Scale discuss: Large language models (LLMs) show remarkable potential to act as computer agents, enhancing human productivity and software accessibility in multi-modal tasks that require planning and reasoning. However, measuring agent performance in realistic environments remains a challenge since: (i) most benchmarks are limited to specific modalities or domains (e.g. text-only, web navigation, Q&A, coding) and (ii) full benchmark evaluations are slow (on order of magnitude of days) given the multi-step sequential nature of tasks. To address these challenges, we introduce the Windows Agent Arena: a reproducible, general environment focusing exclusively on the Windows operating system (OS) where agents can operate freely within a real Windows OS and use the same wide range of applications, tools, and web browsers available to human users when solving tasks. We adapt the OSWorld framework (Xie et al., 2024) to create 150+ diverse Windows tasks across representative domains that require agent abilities in planning, screen understanding, and tool usage. Our benchmark is scalable and can be seamlessly parallelized in Azure for a full benchmark evaluation in as little as 20 minutes. To demonstrate Windows Agent Arena's capabilities, we also introduce a new multi-modal agent, Navi. Our agent achieves a success rate of 19.5% in the Windows domain, compared to 74.5% performance of an unassisted human. Navi also demonstrates strong performance on another popular web-based benchmark, Mind2Web. We offer extensive quantitative and qualitative analysis of Navi's performance, and provide insights into the opportunities for future research in agent development and data generation using Windows Agent Arena.

AK

19,684 просмотров • 1 год назад

Every new thing launched at ZapConnect: First up: Unified Copilot. Type what you want, and it builds across Zaps, Tables, Interfaces, and Agents: - Workflows in minutes (not days) - Context flows everywhere (no rework) - AI does the wiring so you focus on strategy (Try it here: We also shipped: 1. Human-in-the-loop 2. Over 30 new AI apps: Perplexity, Mistral, Cursor, DeepSeek + more 3. Agent Sharing: Build once, deploy to your whole org 4. Enterprise controls your IT team will actually like Oh and Tables + Interfaces are now included in every Zapier plan. Missed the event? Replay’s up now.

Every new thing launched at ZapConnect: First up: Unified Copilot. Type what you want, and it builds across Zaps, Tables, Interfaces, and Agents: - Workflows in minutes (not days) - Context flows everywhere (no rework) - AI does the wiring so you focus on strategy (Try it here: We also shipped: 1. Human-in-the-loop 2. Over 30 new AI apps: Perplexity, Mistral, Cursor, DeepSeek + more 3. Agent Sharing: Build once, deploy to your whole org 4. Enterprise controls your IT team will actually like Oh and Tables + Interfaces are now included in every Zapier plan. Missed the event? Replay’s up now.

Wade Foster

21,348 просмотров • 9 месяцев назад