James Campbell

@soundboy @LawrenceLundy @soundboy I am in London tonight. Would love to intro you to Nimbus: the Agentic Enterprise World Model runtime. Multi-model, multi-agent swarms that reliably run entire business functions - autonomously.

1/ I'm hosting a dinner tonight in London with @LawrenceLundy to bring together a number of startups building the next evolution of the compute stack. We've been very active in this area having backed Callosum, OLIX, Oriole Networks and other unannounced companies.

Small Business owners after they sign up to Claude for Small Business and try to run their first meaningful “autonomous” function.

@haider1 Absolutely speaking my language. The world model connects it all up, knowledge and causality. Essential for true autonomy with coherent multi-agent interactions.

Yann LeCun says you cannot build a reliable agentic system without a world model LLMs don't have world models. They can't predict the consequences of their actions before taking them "they just act, and whatever happens next is someone else's problem" Without that, it's not intelligence

@codyschneider Bet your “team” feel great right now. Leadership 101.

my team didn't want me to give this away for free. But I'm going to do it anyway it's the SEO & AI search dashboard I built in Claude Code it connects to your Google Analytics (GA4) and Google Search Console and Claude Code builds it in 5 minutes and I made a Notion document and a skill file so you can build this in Claude Code yourself in literally minutes the dashboard has three tabs: 1. AI Search - How much traffic is coming from ChatGPT, Perplexity, and Gemini ETC. It aggregates the GA4 data and gives single number 2. Paid ads - which keywords rank top 3 for but still pay for ads on, you should cut these to save budget 3. Organic overview - sessions, conversions, top landing pages, demographics. The single view for what is working I built this because this is how I drive our SEO and AEO forward it gives me the insights I need to allocate budget and prioritize what content to work on next I decided to give it away because most companies have no idea AI search is already sending them traffic like this post and comment "AEOdashboard" and I'll send it over

“→ Claude understands the context of your entire business”….definitely not. Limited context window, finite set of connectors, often with narrow scope capabilities (eg. Google Drive cannot connect to folders, only individual files). Claude cowork is good for certain tasks, but a million miles away from being “the OS for small businesses”

Anthropic acaba de lanzar el empleado más barato y eficaz del mundo. Se llama “Claude for Small Business”. Y esto es lo que puede hacer: • Gestionar facturas, pagos y finanzas • Crear campañas, diseños y contenido • Organizar ventas y clientes automáticamente • Leer, resumir y redactar documentos • Gestionar emails, calendarios y archivos • Ejecutar tareas entre múltiples apps Todo desde Claude. Cómo funciona: → Conectas las herramientas que ya usa tu empresa → Claude entiende el contexto de todo tu negocio → Ejecuta flujos de trabajo automáticamente → Incluye automatizaciones ya preparadas → Funciona con Microsoft 365, Google Workspace, Canva, DocuSign, QuickBooks y más Anthropic no quiere que Claude sea “otro chatbot”. Quiere convertirlo en el sistema operativo de millones de pequeñas empresas. La idea es simple: En vez de abrir 10 herramientas distintas, hablas con Claude y él hace el trabajo por ti.

Heading to the London VC Summit 2026 this Friday. 🇬🇧 I’m on a mission to connect with: - VCs doubling down on Enterprise AI. - Business leaders tired of AI "pilots" and ready for actual ROI. If you’re looking to bridge the gap between AI hype and deployment, let’s grab a coffee. Drop a DM to make sure we don't miss each other. P.S. Still need a pass? Register here (and help a founder out with some referral perks): luma.com/vcsummit2026 @londonvcnetwork

@GGuptaSF @A_StarVC @GGuptaSF we should talk about Nimbus, agent swarms for intelligent complex business function automation

Today, we're announcing A* III, a $450 million early-stage fund. We started @A_StarVC with the simple idea to be a founder's first believer. We are generalists by sector, but specialists in the stage and craft of seed investing. We partner with founders before there is consensus, before there is traction, and often before there is even a product. We are not organized around a market thesis. We back exceptional builders and follow them into the most important categories. That matters because seed investing has changed. It is more crowded, more visible, and increasingly transactional. Too often, firms use seed to secure an option and then wait for proof before investing real time and attention. Seed has become a market of access. We believe it should be a market of conviction. We built A* around a different model. We commit early. We show up before external validation, deploying both time and capital from day zero to help founders find their first customer, make an early hire, or work through the decisions that define the company. We are selective at the start and concentrated over time. We partner with a small number of founders and deepen our commitment as their companies take shape. The best outcomes come from knowing where to go deep and having the discipline to do it. This approach has led us to companies like Ramp, Decagon, Whop, Cape, Simile, Paraform, Watney Robotics, and Mercor. We're grateful to the founders who have chosen to build with us and to the limited partners who have backed us. With this fund, A* manages over $1 billion in assets less than five years after launch. Our job remains what it was on day one: back exceptional founders early and be the partner they need when it matters most.

@kevinhartz @A_StarVC @kevinhartz I NEED to tell you about Nimbus. Agent swarms built for meaningful enterprise ROI.

Today, we're announcing A* III, a $450 million early-stage fund. We started @A_StarVC with the simple idea to be a founder's first believer. We are generalists by sector, but specialists in the stage and craft of seed investing. We partner with founders before there is consensus, before there is traction, and often before there is even a product. We are not organized around a market thesis. We back exceptional builders and follow them into the most important categories. That matters because seed investing has changed. It is more crowded, more visible, and increasingly transactional. Too often, firms use seed to secure an option and then wait for proof before investing real time and attention. Seed has become a market of access. We believe it should be a market of conviction. We built A* around a different model. We commit early. We show up before external validation, deploying both time and capital from day zero to help founders find their first customer, make an early hire, or work through the decisions that define the company. We are selective at the start and concentrated over time. We partner with a small number of founders and deepen our commitment as their companies take shape. The best outcomes come from knowing where to go deep and having the discipline to do it. This approach has led us to companies like Ramp, Decagon, Whop, Cape, Simile, Paraform, Watney Robotics, and Mercor. We're grateful to the founders who have chosen to build with us and to the limited partners who have backed us. With this fund, A* manages over $1 billion in assets less than five years after launch. Our job remains what it was on day one: back exceptional founders early and be the partner they need when it matters most.

@hthieblot 20 is the new 9

The next billion-dollar founder has 9 followers on X rn. I will find you & fund you!

@sarahfim @vercel @openclaw Will give this a go today! Awesome work.

Despite being told no, I'm open-sourcing TrustClaw. You can now deploy a production-ready personal agent service with over 1000+ app integrations in a single command, straight to @vercel with npx @composio/trustclaw deploy I was inspired by @openclaw to build a simple web app where anyone could create their own 24/7 personal assistant and connect it to Gmail, Google Calendar, Notion, Slack, GitHub, HubSpot, Linear… well everything, and securely through OAuth/sandbox execution. It went viral on X, reached over a thousand users in less than 48h, and revenue began pouring in. If you are thinking like a company, you'd probably keep that locked up. But why should I be the reason you spend another year scrolling instead of building? So today, I'm open-sourcing TrustClaw anyway. > 24/7 agents that act across Gmail, Notion, GitHub, Slack, Linear, Jira, and 1000+ apps > OAuth and sandboxed execution, so users don't have to hand agents passwords or raw API keys > Supports multiple users and authentication right outside of the box with @better_auth Repo is open, MIT licensed. If I were starting an AI company today, I'd clone this, pick a market, and begin shipping with Claude Code. Honestly so excited to see what comes out of this.

This might be a potential leap forward for DTC users, but this is missing the point with the challenges faced by business/enterprise. Speed isn’t the problem, it’s context detachment and skill complexity limitations that are the main blockers for org-wide meaningful deployment. These are the things that need solving first before model speed and synchronicity enhancements have purpose.

A mulher que construiu o ChatGPT saiu da OpenAI, ficou em silêncio por um ano, e o que ela acabou de lançar pode mudar pra sempre como você usa IA no dia a dia. Mira Murati não fundou mais um chatbot. Ela foi atrás do problema que nenhum lab quis resolver: toda IA que existe hoje funciona por turnos. Você digita, espera. O modelo responde, espera. É tentar resolver uma crise por e-mail quando você poderia estar na mesma sala que a pessoa. O que a Thinking Machines lançou hoje acaba com isso. O modelo ouve, vê, fala, pensa e age ao mesmo tempo. Não é um pipeline costurado de componentes. É o modelo em si que foi treinado do zero pra funcionar assim. → Latência de 0,40s por turno. O padrão da indústria é 1 a 2 segundos. → Micro-turnos de 200ms intercalando input e output sem parar → Faz busca, usa ferramentas e gera interface enquanto conversa com você → Percebe quando você hesita e intervém antes de você pedir → Tradução simultânea em tempo real com as duas partes falando A equipe: Mira Murati como CEO (ex-CTO da OpenAI), Soumith Chintala como CTO (criador do PyTorch), e contratações recentes da Meta em percepção multimodal. O ponto técnico que vale gravar: eles citam o "bitter lesson" do Rich Sutton. Interatividade construída por componente externo sempre vai perder pra interatividade nativa ao modelo. Escalar o modelo o torna mais inteligente e mais colaborativo ao mesmo tempo. 822 mil visualizações em 4 horas. a16z comentando. Brasil dormindo. Toda IA que você usa hoje vai parecer e-mail dentro de dois anos. E quem largou na frente dessa corrida não foi OpenAI, Google nem Anthropic. Foi a empresa da mulher que eles deixaram sair.

Unpopular opinion: You can’t replicate "the room" on a screen. I’m a huge advocate for the office. 30-second desk chats and overhearing a masterclass pitch do more for career growth than any "scheduled" 1:1 ever could. But there’s a catch we have to solve. For some, the office is a sensory or physical barrier. Remote work levelled a playing field that was uneven for decades. If we want people back at desks, we must ensure those who need to stay remote aren't invisible. How are you making "Hybrid" actually work for everyone?

Best VCs for Seed stage transformative AI (enterprise SaaS)?

@geoffreywoo What’s your strategy?

the entire venture capital industry is built on a fundamental lie vcs say they fund exceptional founders before the market sees it reality: most wait for social proof, then cosplay conviction after the round is already safe

Disagree. Those are tools for verification, not a prerequisite for comprehension. Many breakthroughs are deeply understood long before the technical syntax (like maths or code) is in place (or even exists) to model them. I agree with you that an idea is the foundational architecture, however I would say maths and code are simply the specialised languages used to scale or prove it to others.

@icanvardar you’re absolutely right. I’m not an AI—never was.

tell me you’re not an ai without telling me you’re not an ai

@ravikiran_dev7 Nope. Wrong. Those with the 9-5 jobs have the ever repeating stress of trying to work out what fun/relaxing things to do on their weekends. I petty those poor lost souls.

Unpopular opinion: 9-5 with a high salary is better than owning your own startup.

@recouso Actually, I feel this is a more accurate representation of the post caption

Americans as soon as they arrive to a coffee shop in Europe

I’ve thought about this a lot, logically it makes no sense. The current approach is a "bridge phase" where agents are mimicking humans because the world's data is trapped behind visual interfaces designed for eyes, not code. The evolution is a move toward a headless, protocol-based web, where websites provide structured, machine-readable manifests that allow agents to exchange data directly without ever needing to "see" or click a button.

why are we getting agents to open browsers to use human designed sites

Thousands of AI agents being deployed, but zero ways to manage their “salary”. The most important hire of 2026 won’t be a human, it’ll be the CFO-Agent. A meta-layer that prioritises and throttles token budgets in real-time based on actual business value. If it doesn’t drive ROI, the agent doesn’t get the compute. Simple.