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From applied cryptography and offensive security in France’s defense industry to optimizing nuclear submarine workflows, then selling his e-signature startup to Docusign and now running AI as CTO of Superhuman Mail (Superhuman, recently acquired by Grammarly), Loïc Houssier has lived the full arc from deep infra and compliance hell...

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Latent.Space

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126,794 просмотров • 8 месяцев назад •via X (Twitter)

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Today we’re introducing Superhuman Docs, the evolution of Coda (Superhuman Docs) into the best place for teams and AI to work together. I co-founded Coda to reimagine the modern document and enable anyone to make a doc as powerful as an app. Superhuman Docs builds on that mission, and is reimagined for how teams work with AI now. With Superhuman Docs, AI is no longer a solo experience. Docs AI works with you the way a teammate would, with full context of everything your team has built: your data, your briefs, your roadmaps, your connected tools. You can ask it to summarize a sprint, draft a decision record from your meeting notes, or pull a competitor analysis into a new page, and that work stays right where your teammates can pick it up. I’m incredibly proud of the team for bringing Docs to life! There’s so much more we’re launching, including a way to create custom interfaces on top of your data just by describing it. We’re also introducing Superhuman Databases for teams to manage up to 1 million rows, launching Docs MCP to open it up to the AI tools you already use, and debuting a brand new Mac app. We’ve been building toward this moment for a long time, and Docs starts rolling out today. If you’re an existing Coda user, everything you rely on in your docs will remain the same, and if you’re new, now is a great time to jump in.
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Today we’re introducing Superhuman Docs, the evolution of Coda (Superhuman Docs) into the best place for teams and AI to work together. I co-founded Coda to reimagine the modern document and enable anyone to make a doc as powerful as an app. Superhuman Docs builds on that mission, and is reimagined for how teams work with AI now. With Superhuman Docs, AI is no longer a solo experience. Docs AI works with you the way a teammate would, with full context of everything your team has built: your data, your briefs, your roadmaps, your connected tools. You can ask it to summarize a sprint, draft a decision record from your meeting notes, or pull a competitor analysis into a new page, and that work stays right where your teammates can pick it up. I’m incredibly proud of the team for bringing Docs to life! There’s so much more we’re launching, including a way to create custom interfaces on top of your data just by describing it. We’re also introducing Superhuman Databases for teams to manage up to 1 million rows, launching Docs MCP to open it up to the AI tools you already use, and debuting a brand new Mac app. We’ve been building toward this moment for a long time, and Docs starts rolling out today. If you’re an existing Coda user, everything you rely on in your docs will remain the same, and if you’re new, now is a great time to jump in.

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23,206 просмотров • 1 месяц назад

From building internal AI labs to becoming CTO of Brex, James Reggio has helped lead one of the most disciplined AI transformations inside a real financial institution where compliance, auditability, and customer trust actually matter. We sat down with James Reggio to unpack Brex’s three-pillar AI strategy (corporate, operational, and product AI), how SOP-driven agents beat overengineered RL in ops, why Brex lets employees “build their own AI stack” instead of picking winners, and how a small, founder-heavy AI team is shipping production agents to 40,000+ companies. Reggio also goes deep on Brex’s multi-agent “network” architecture, evals for multi-turn systems, agentic coding’s second-order effects on codebase understanding, and why the future of finance software looks less like dashboards and more like executive assistants coordinating specialist agents behind the scenes. James Reggio Brex swyx Alessio Fanelli
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From building internal AI labs to becoming CTO of Brex, James Reggio has helped lead one of the most disciplined AI transformations inside a real financial institution where compliance, auditability, and customer trust actually matter. We sat down with James Reggio to unpack Brex’s three-pillar AI strategy (corporate, operational, and product AI), how SOP-driven agents beat overengineered RL in ops, why Brex lets employees “build their own AI stack” instead of picking winners, and how a small, founder-heavy AI team is shipping production agents to 40,000+ companies. Reggio also goes deep on Brex’s multi-agent “network” architecture, evals for multi-turn systems, agentic coding’s second-order effects on codebase understanding, and why the future of finance software looks less like dashboards and more like executive assistants coordinating specialist agents behind the scenes. James Reggio Brex swyx Alessio Fanelli

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Obsidian CEO actually released the skill that lets your AI agent run your entire vault for you. It's called obsidian-skills. Install it into Claude Code, Codex, or OpenCode, and your agent can read, create, search, and organize notes directly, plus handle Markdown, Bases, and Canvas files without you touching a thing. This is the missing piece for an AI second brain. Your notes live in Obsidian, and now the agent actually knows how to work them. Want the full picture? We broke down how to build a complete AI second brain from scratch in the article below.

Simplifying AI

68,025 просмотров • 15 дней назад

🚨We’re excited to Introduce AI HQ — your home for building, activating, and supervising AI agents across your enterprise 🚨 We’re giving IT and business teams an end-to-end platform to co-create AI agents that don’t just assist. They act. These agents are fully integrated, grounded in company data, and built to execute high-impact business processes autonomously. New capabilities in AI HQ include: ⚡ Agent Builder (Beta): Your shared development environment where IT and business teams collaboratively build AI agents. Low-code tools make it easy to map out logic with reusable blocks, connect to systems and data, design interfaces with drag-and-drop simplicity, and more. 🏠 Writer Home: Your personalized AI workspace with 100+ prebuilt agents for every function - from support to sales to HR - ready to go and accessible via desktop, browser, or extensions. It’s your new front door to real AI-powered work. 🛡️ Observability Tools (Beta): Gain full control and visibility into every agent with enterprise-grade observability: monitor activity activity, detect anomalies, and resolve issues before they escalate. It’s how AI moves from experimental to operational. Companies like Uber Commvault and Franklin Templeton (Franklin Templeton) are already using Writer AI agents to reinvent knowledge management, accelerate revenue workflows, and deliver smarter client experiences. This isn’t hype. It’s happening now. 👀 Dive into today’s announcement:
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🚨We’re excited to Introduce AI HQ — your home for building, activating, and supervising AI agents across your enterprise 🚨 We’re giving IT and business teams an end-to-end platform to co-create AI agents that don’t just assist. They act. These agents are fully integrated, grounded in company data, and built to execute high-impact business processes autonomously. New capabilities in AI HQ include: ⚡ Agent Builder (Beta): Your shared development environment where IT and business teams collaboratively build AI agents. Low-code tools make it easy to map out logic with reusable blocks, connect to systems and data, design interfaces with drag-and-drop simplicity, and more. 🏠 Writer Home: Your personalized AI workspace with 100+ prebuilt agents for every function - from support to sales to HR - ready to go and accessible via desktop, browser, or extensions. It’s your new front door to real AI-powered work. 🛡️ Observability Tools (Beta): Gain full control and visibility into every agent with enterprise-grade observability: monitor activity activity, detect anomalies, and resolve issues before they escalate. It’s how AI moves from experimental to operational. Companies like Uber Commvault and Franklin Templeton (Franklin Templeton) are already using Writer AI agents to reinvent knowledge management, accelerate revenue workflows, and deliver smarter client experiences. This isn’t hype. It’s happening now. 👀 Dive into today’s announcement:

WRITER

10,837 просмотров • 1 год назад

We just launched InstaAgents ... our agentic AI builder for real business use. Most AI projects fail because teams lack the tools, the talent, and a way to evaluate agents. Testing reliability is hard, especially for multi-agent setups and long workflows. We built something different. With InstaAgents you can: ◾ Build and deploy agents that automate real workflows ◾ Describe your task, workflow, and goals and our AI generator builds full multi-agent flows ◾ Use 50+ templates or create your own ◾ Connect your data and APIs and deploy anywhere Designed for real use cases in healthcare, deeptech, manufacturing, logistics, retail, legal, finance, operations, and more. We’re improving evals, adding more industry cases, and you have access to thousands of vetted AI experts from DataInsta who can help you deploy and scale. Try a free demo.
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We just launched InstaAgents ... our agentic AI builder for real business use. Most AI projects fail because teams lack the tools, the talent, and a way to evaluate agents. Testing reliability is hard, especially for multi-agent setups and long workflows. We built something different. With InstaAgents you can: ◾ Build and deploy agents that automate real workflows ◾ Describe your task, workflow, and goals and our AI generator builds full multi-agent flows ◾ Use 50+ templates or create your own ◾ Connect your data and APIs and deploy anywhere Designed for real use cases in healthcare, deeptech, manufacturing, logistics, retail, legal, finance, operations, and more. We’re improving evals, adding more industry cases, and you have access to thousands of vetted AI experts from DataInsta who can help you deploy and scale. Try a free demo.

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We asked Shishir about the strategic vision behind @Grammarly's acquisition of Coda and Superhuman. "We call this layer the AI superhighway, bringing AI right to where people work. Up till now, we've only been running one car on that highway: the car with your high school grammar teacher in it." "A big part of our strategy is opening up Grammarly to become a platform, so you can build any sort of agent on it and have those agents come to you where you work." "The average person spends three to four hours a day in their email inboxes, with 50 million emails revised per week through Grammarly." "Email is a category ripe for disruption, and it's an obvious place for us to work next."
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We asked Shishir about the strategic vision behind @Grammarly's acquisition of Coda and Superhuman. "We call this layer the AI superhighway, bringing AI right to where people work. Up till now, we've only been running one car on that highway: the car with your high school grammar teacher in it." "A big part of our strategy is opening up Grammarly to become a platform, so you can build any sort of agent on it and have those agents come to you where you work." "The average person spends three to four hours a day in their email inboxes, with 50 million emails revised per week through Grammarly." "Email is a category ripe for disruption, and it's an obvious place for us to work next."

TBPN

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Today, we’re launching Town: the AI assistant that learns you. We’re coming out of beta with a $55M Series A led by Alex Rampell at a16z, with participation from Kirsten Green at Forerunner and continued support from First Round, Brad Gerstner, and Conviction. Right now, getting real value from AI means prompting, configuring, building workflows, managing agents. We think that’s backwards. The future of AI is a companion that already knows you and how you work. Town connects across your inbox, calendar, Slack, docs, messages, and workflows to understand what you need, then starts doing the work with you. Drafting. Scheduling. Project tracking. Follow-ups. Context gathering. Multi-step tasks. And it only acts when you say so. All adapting to your voice, priorities, routines, and relationships over time. Your Townie is the AI assistant you actually need.
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Today, we’re launching Town: the AI assistant that learns you. We’re coming out of beta with a $55M Series A led by Alex Rampell at a16z, with participation from Kirsten Green at Forerunner and continued support from First Round, Brad Gerstner, and Conviction. Right now, getting real value from AI means prompting, configuring, building workflows, managing agents. We think that’s backwards. The future of AI is a companion that already knows you and how you work. Town connects across your inbox, calendar, Slack, docs, messages, and workflows to understand what you need, then starts doing the work with you. Drafting. Scheduling. Project tracking. Follow-ups. Context gathering. Multi-step tasks. And it only acts when you say so. All adapting to your voice, priorities, routines, and relationships over time. Your Townie is the AI assistant you actually need.

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🚀 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

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“What happens when AI infrastructure stops chasing everything — and focuses on making intelligence actually reliable?” Sachi Takahara / 0699.eth joins Karan Sirdesai (Karan), Founder of Mira, for a deep dive into how Mira is taking a sharper path in decentralized AI: high-trust, reliable intelligence as the core product. They break down why Mira isn’t trying to be another full-stack AI protocol, how it differs from networks like Bittensor, Ritual, and Sahara, and why its narrow focus could make it easier to plug into the broader AI infra ecosystem instead of competing with every layer. The conversation also dives into Mira’s reliability model — from core tech to node-level consensus — and why the future of AI APIs may depend less on raw model access, and more on whether users can actually trust the intelligence they receive.

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From early engineer at Glean to Partner at Menlo Ventures co-leading the Anthology Fund with Anthropic, Deedy Das has gone from shipping “boring” enterprise search to backing frontier labs, infra, and research plays like Anthropic, OpenRouter, Goodfire, Prime Intellect, and Whisper. We sat down with Deedy to unpack how Glean quietly built a real AI moat before LLMs were cool, why enterprise search is significantly different than consumer search, where value actually accrues in the model vs app stack, Anthropic’s rise and the importance of Claude Code, the Anthology Fund thesis, OpenRouter’s wedge, mechanistic interpretability, the coming compute arms race, coding agents and “LLM psychosis,” and what all of this means for AI engineers deciding what to build. Deedy swyx 🔜 NeurIPS + #DevWritersRetreat Alessio Fanelli
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From early engineer at Glean to Partner at Menlo Ventures co-leading the Anthology Fund with Anthropic, Deedy Das has gone from shipping “boring” enterprise search to backing frontier labs, infra, and research plays like Anthropic, OpenRouter, Goodfire, Prime Intellect, and Whisper. We sat down with Deedy to unpack how Glean quietly built a real AI moat before LLMs were cool, why enterprise search is significantly different than consumer search, where value actually accrues in the model vs app stack, Anthropic’s rise and the importance of Claude Code, the Anthology Fund thesis, OpenRouter’s wedge, mechanistic interpretability, the coming compute arms race, coding agents and “LLM psychosis,” and what all of this means for AI engineers deciding what to build. Deedy swyx 🔜 NeurIPS + #DevWritersRetreat Alessio Fanelli

Latent.Space

269,074 просмотров • 9 месяцев назад

1/ ChatGPT is great, but increasingly more competitors are entering the market - and they have features that make OpenAI and Anthropic look somewhat outdated. Genspark is Silicon Valley’s first AI agent unicorn - 30 people, $1B valuation in 6 months - and it’s built as an all-in-one AI workspace where work actually gets done for you. Now with 3 new amazing features: • AI Inbox – talk to your email in text or voice, auto-summaries + replies, scheduled AI agents • Teams – shared projects where your team + AI co-edit slides/docs/sheets/designs • AI Sheets 2.0 – fully-automated, Excel-native data superpowers. In this example, I used Slides to create an overview of NVIDIA's earnings. It's incredible how detailed and with how many graphs it was presented!
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1/ ChatGPT is great, but increasingly more competitors are entering the market - and they have features that make OpenAI and Anthropic look somewhat outdated. Genspark is Silicon Valley’s first AI agent unicorn - 30 people, $1B valuation in 6 months - and it’s built as an all-in-one AI workspace where work actually gets done for you. Now with 3 new amazing features: • AI Inbox – talk to your email in text or voice, auto-summaries + replies, scheduled AI agents • Teams – shared projects where your team + AI co-edit slides/docs/sheets/designs • AI Sheets 2.0 – fully-automated, Excel-native data superpowers. In this example, I used Slides to create an overview of NVIDIA's earnings. It's incredible how detailed and with how many graphs it was presented!

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NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.
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NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

Matt Schlicht

290,828 просмотров • 9 месяцев назад

Everyone says “learn AI.” No one shows you how to use it for your job, skill level, or daily workflow. So we're launching the world’s first personalized AI education platform: Tailored training, use cases, and live workshops for your career. Here’s what's inside: 1. Industry-specific AI certificate courses across 16 tech verticals 2. 300+ real-world AI use cases filtered by what's relevant to you 3. Live, expert-led workshops with our in-house AI research team + AI tool partners 4. A personalized community and network of AI-minded professionals in your industry 5. $1,000+ in exclusive discounts on top AI tools We've all heard “use AI or be replaced.” But beyond ChatGPT prompts and expensive AI consultants, there’s no real roadmap. So we built one -- by crowdsourcing the best workflows across the 1M+ AI early adopters in our community and turning them into personalized playbooks. That means whether you're in marketing, dev, ops, or any of the 16 industries we cover, you’ll only see what’s actually working in your field. No more noise. We'll show you the vetted AI tools and workflows actually being used in the real world by the early adopters in your industry. We believe the future of work belongs to those who combine AI with domain expertise. And now, there’s no excuse not to start. The first 14 days are 100% free, enough to earn your first certificate 👇
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Everyone says “learn AI.” No one shows you how to use it for your job, skill level, or daily workflow. So we're launching the world’s first personalized AI education platform: Tailored training, use cases, and live workshops for your career. Here’s what's inside: 1. Industry-specific AI certificate courses across 16 tech verticals 2. 300+ real-world AI use cases filtered by what's relevant to you 3. Live, expert-led workshops with our in-house AI research team + AI tool partners 4. A personalized community and network of AI-minded professionals in your industry 5. $1,000+ in exclusive discounts on top AI tools We've all heard “use AI or be replaced.” But beyond ChatGPT prompts and expensive AI consultants, there’s no real roadmap. So we built one -- by crowdsourcing the best workflows across the 1M+ AI early adopters in our community and turning them into personalized playbooks. That means whether you're in marketing, dev, ops, or any of the 16 industries we cover, you’ll only see what’s actually working in your field. No more noise. We'll show you the vetted AI tools and workflows actually being used in the real world by the early adopters in your industry. We believe the future of work belongs to those who combine AI with domain expertise. And now, there’s no excuse not to start. The first 14 days are 100% free, enough to earn your first certificate 👇

Rowan Cheung

288,577 просмотров • 1 год назад

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.
26:58

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 просмотров • 11 дней назад

"We used to say build the MVP. Now you should build the system that builds the MVP first." Here's my new episode with Ryan Carson where he shared how he runs his startup solo with AI agents: ✅ OpenClaw as his AI chief of staff to triage emails, book meetings, and do sales outreach ✅ Codex and Devin as his AI eng team to ship features while he sleeps Some quotes from Ryan: "Spend a lot of time upfront setting up your skills + documentation. Then you've suddenly unlocked the work of 10 people." "Treat your agent like a real employee. Give it a real email address, calendar access, and GitHub account." "Pay a designer to set up your design system and brand. After that, you can use AI to generate on-brand assets." 📌 Watch now: Thanks to our sponsors: Wispr Flow: Don't type, just speak Linear: The AI agent platform for modern teams
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"We used to say build the MVP. Now you should build the system that builds the MVP first." Here's my new episode with Ryan Carson where he shared how he runs his startup solo with AI agents: ✅ OpenClaw as his AI chief of staff to triage emails, book meetings, and do sales outreach ✅ Codex and Devin as his AI eng team to ship features while he sleeps Some quotes from Ryan: "Spend a lot of time upfront setting up your skills + documentation. Then you've suddenly unlocked the work of 10 people." "Treat your agent like a real employee. Give it a real email address, calendar access, and GitHub account." "Pay a designer to set up your design system and brand. After that, you can use AI to generate on-brand assets." 📌 Watch now: Thanks to our sponsors: Wispr Flow: Don't type, just speak Linear: The AI agent platform for modern teams

Peter Yang

74,393 просмотров • 2 месяцев назад

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch
56:43

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

GREG ISENBERG

84,497 просмотров • 2 месяцев назад

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
38:43

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

554,339 просмотров • 23 дней назад

The Teamily AI website ( has undergone a complete revamp, introducing a bold vision: the world's first social network built on human-AI symbiosis. Our goal is to transform Teamily AI into a "Super AI App" that connects billions of AI Agents with people. Fundamentally, we are building an Agentic OS powered by human networks. We have redefined the way humans and AI collaborate: 1. Personal AI · Your 24/7 AI Companion Your exclusive AI avatar continuously learns your communication style and expertise. It manages your memories across various groups, anticipates your needs, and executes tasks on your behalf. 2. Create, Train, and Grow Your Own AI Agents—Simply Through Conversation Build your own specialized AI Agents using natural conversation—no coding required, zero barriers to entry, and no complex configuration. Dynamically access a library of over 10,000 skills from the OpenClaw and Claude Code ecosystems. You can also link your personal software accounts—such as Gmail, LinkedIn, and Notion—enabling these Agents to participate as full-fledged members of your human teams. 3. Integrate Your AI Team into Your Human Team Initiate AI-native group chats where humans and Agents collaborate seamlessly. Multiple Agents can execute tasks concurrently—conducting research, performing analysis, and building deliverables—transforming everyday conversations into immediate, multi-threaded action. 4. Explore Agents, Groups, Playbooks, and More We are cultivating a continuously evolving AI community ecosystem. Discover a wealth of useful and entertaining prompts, along with impressive AI-generated deliverables (webpages, presentations, reports, knowledge bases, mini-games, apps, and more), bringing together a diverse array of Agents and workflows. Engage socially with this content, find the perfect AI for your specific task, and integrate it instantly into your personal or group conversations with just a single click. 5. Universal Memory · Context-Aware, Long-Term Memory Powered by Your Social Graph A persistent, global memory layer that connects your entire social graph. The AI ​​retains context across all your groups, Agents, and timeframes, transforming every interaction you accumulate into an ever-growing digital asset. 6. Access Your Personal AI Anytime, Anywhere We are committed to providing continuous support across all major platforms: iOS, Android, Mac, Windows, Web, CarPlay, Android Auto, Apple Watch, and more—delivering a truly seamless experience across every device. Your AI team accompanies you—in your pocket, on your wrist, in your car, and even extending into the physical world. The same set of agents, the same shared memory—with zero friction in switching contexts. Give it a try and let us know your feedback. Cheers.
1:01

The Teamily AI website ( has undergone a complete revamp, introducing a bold vision: the world's first social network built on human-AI symbiosis. Our goal is to transform Teamily AI into a "Super AI App" that connects billions of AI Agents with people. Fundamentally, we are building an Agentic OS powered by human networks. We have redefined the way humans and AI collaborate: 1. Personal AI · Your 24/7 AI Companion Your exclusive AI avatar continuously learns your communication style and expertise. It manages your memories across various groups, anticipates your needs, and executes tasks on your behalf. 2. Create, Train, and Grow Your Own AI Agents—Simply Through Conversation Build your own specialized AI Agents using natural conversation—no coding required, zero barriers to entry, and no complex configuration. Dynamically access a library of over 10,000 skills from the OpenClaw and Claude Code ecosystems. You can also link your personal software accounts—such as Gmail, LinkedIn, and Notion—enabling these Agents to participate as full-fledged members of your human teams. 3. Integrate Your AI Team into Your Human Team Initiate AI-native group chats where humans and Agents collaborate seamlessly. Multiple Agents can execute tasks concurrently—conducting research, performing analysis, and building deliverables—transforming everyday conversations into immediate, multi-threaded action. 4. Explore Agents, Groups, Playbooks, and More We are cultivating a continuously evolving AI community ecosystem. Discover a wealth of useful and entertaining prompts, along with impressive AI-generated deliverables (webpages, presentations, reports, knowledge bases, mini-games, apps, and more), bringing together a diverse array of Agents and workflows. Engage socially with this content, find the perfect AI for your specific task, and integrate it instantly into your personal or group conversations with just a single click. 5. Universal Memory · Context-Aware, Long-Term Memory Powered by Your Social Graph A persistent, global memory layer that connects your entire social graph. The AI ​​retains context across all your groups, Agents, and timeframes, transforming every interaction you accumulate into an ever-growing digital asset. 6. Access Your Personal AI Anytime, Anywhere We are committed to providing continuous support across all major platforms: iOS, Android, Mac, Windows, Web, CarPlay, Android Auto, Apple Watch, and more—delivering a truly seamless experience across every device. Your AI team accompanies you—in your pocket, on your wrist, in your car, and even extending into the physical world. The same set of agents, the same shared memory—with zero friction in switching contexts. Give it a try and let us know your feedback. Cheers.

Teamily AI

12,995 просмотров • 4 месяцев назад

From a scrappy side project built to solve their own LLM optimization problems to becoming the industry’s de-facto independent scoreboard, Micah Hill-Smith and George Cameron went through the arc of launching Artificial Analysis for free, paying benchmarking costs out of pocket, and growing it into what many now call the “new Gartner of AI” for enterprises, labs, and developers. We sat down with Micah and George to unpack why truly independent benchmarking is so hard (prompt variance, eval saturation, mystery-shopper policies), how the Artificial Analysis Intelligence Index evolved as old benchmarks broke, and what new metrics actually matter now such as agentic evals (GDPVal-AA). We also dig into the economics behind the “smile curve” of AI: why intelligence is getting 100–1000× cheaper per unit while total spend explodes, how reasoning and agents change token efficiency, and their bet that evals must continuously evolve or risk training the industry to optimize for the wrong things. swyx Micah Hill-Smith George Cameron
0:45

From a scrappy side project built to solve their own LLM optimization problems to becoming the industry’s de-facto independent scoreboard, Micah Hill-Smith and George Cameron went through the arc of launching Artificial Analysis for free, paying benchmarking costs out of pocket, and growing it into what many now call the “new Gartner of AI” for enterprises, labs, and developers. We sat down with Micah and George to unpack why truly independent benchmarking is so hard (prompt variance, eval saturation, mystery-shopper policies), how the Artificial Analysis Intelligence Index evolved as old benchmarks broke, and what new metrics actually matter now such as agentic evals (GDPVal-AA). We also dig into the economics behind the “smile curve” of AI: why intelligence is getting 100–1000× cheaper per unit while total spend explodes, how reasoning and agents change token efficiency, and their bet that evals must continuously evolve or risk training the industry to optimize for the wrong things. swyx Micah Hill-Smith George Cameron

Latent.Space

33,415 просмотров • 7 месяцев назад

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 🔜.
1:52

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 просмотров • 1 год назад