Every Inc.

CONFIRMED: Nat Eliason, head of Founder Development at Alpha School, is speaking at Thesis, our inaugural conference on work and AI. Nat describes Founders School’s model in three steps: Expertise → Audience → Product. Students choose a domain, research it deeply, and publish what they learn. Their audience tests the usefulness of those ideas. Then they build products from that feedback, using AI to ship in days. Nat’s claim: “The audience is the credential.” For hiring managers, the model changes the evidence that matters. A résumé says where someone has been. A public body of work shows how someone thinks and what they can make. AI makes expertise easier to acquire and products faster to ship. Does proof of work become the new diploma? Join Nat and speakers from Notion, OpenAI, and more on Nov. 5 in Brooklyn, NYC. Apply to attend: https://lnkd.in/ezQTeyWp

CONFIRMED: Sahil Lavingia, founder of Gumroad, is speaking at Thesis, our inaugural conference on work and AI. Gumroad began with a $1 pencil icon. Sahil wanted to sell it, but setting up a storefront would take longer than making the icon. He built Gumroad that weekend and launched it on Hacker News the following Monday. Today, Gumroad helps creators go from $0 to $1. AI can make it faster to turn what you know into a product. The first dollar still proves the same thing: Someone found it useful enough to pay for. Thesis continues that conversation: What happens to knowledge work when anyone can turn what they know into a product and sell it? Join Sahil and speakers from Anthropic, Notion, and more on Nov. 5 in Brooklyn, NYC. Apply to attend: https://lnkd.in/e6h-wXP8

CONFIRMED: Lauren Reeder, partner at Sequoia Capital, is speaking at Thesis, our inaugural conference on work and AI. Lauren argues that most AI companies fail in the gap between an impressive demo and production work inside regulated enterprises. The demo-to-production gap matters far beyond venture capital. Leaders have to decide whether an AI system fits a real workflow and can be relied on when the stakes are high. A polished demo is only the beginning of that evaluation. Thesis continues that conversation: How should leaders evaluate AI when a convincing demo can hide how much work remains? Join Lauren and speakers from OpenAI, Notion, and more on Nov. 5 in Brooklyn, NYC. Apply to attend: https://lnkd.in/eQJi6ZZ6

CONFIRMED: Cristóbal Valenzuela, cofounder and co-CEO of Runway, is speaking at Thesis, our inaugural conference on work and AI. Runway’s GWM-1 family creates explorable environments in real time and lets teams test robot software in simulation before deploying it to physical hardware. Creating explorable environments and testing robot software in simulation could take Runway’s work far beyond filmmaking. Plans that now live in documents and decks could become interactive simulations that teams test before acting in the real world. Thesis continues that conversation: How does knowledge work change when we can test ideas in a model of the world before acting on them? Join Cristóbal and speakers from Notion, OpenAI, and more on Nov. 5 in Brooklyn, NYC. Apply to attend: https://lnkd.in/eHKx_tT3

CONFIRMED: Josh Miller, CEO and cofounder of The Browser Company, is speaking at Thesis, our inaugural conference on work and AI. Automated bots generated more than 53% of web traffic in 2025. AI agents are becoming a new kind of internet participant: They retrieve data and execute workflows on our behalf. Yet Dia, an AI-native web browser, is built for humans. For knowledge workers, that design turns the browser from a place where work happens into part of the workflow. Dia can gather context from work tools and open tabs, then turn it into a report or surface what needs attention next. And crucially, can Dia finally tidy up our unopened tabs? Join Josh and speakers from OpenAI, Notion, and more on Nov. 5 in Brooklyn, NYC. Apply to attend: https://lnkd.in/eqGnq2HE

CONFIRMED: Nicholas Thompson, CEO of The Atlantic, is speaking at Thesis, our inaugural conference on work and AI. The web and social media disrupted journalism’s distribution and advertising. Nick says AI reaches further: It changes content creation and the process of thought. His response is to use AI every day. Leaders cannot understand what the technology is doing to a business from the sidelines; they have to put it inside the work. Thesis continues that conversation: How should leaders respond when AI can improve the work and erase the advantage that made the work valuable? Join Nick and speakers from Notion, Anthropic, and more on Nov. 5 in Brooklyn, NYC. Apply to attend: https://lnkd.in/eTqGCCTd

An always-on AI employee needs more than a good system prompt. Claudie, the 24/7 chief-of-staff agent used by Every’s consulting team, can read Google Workspace, browse logged-in sites, run code, and talk with people across the company. Her reach makes her useful—and raises the cost of a mistake. Every’s applied AI engineer Nityesh Agarwal secures Claudie with four layers: 1. Limit what the agent can access. 2. Add code-level blocks the model cannot override. 3. Set clear rules in the system prompt. 4. Log every session and tool call so near-misses can strengthen the other layers. Each layer trades flexibility for reliability. Together, they show the team which risks are blocked, visible, or open. Every security decision is a capability decision: What should the agent be able to do, and what are we willing to give up to make it safer? Read the full piece: https://lnkd.in/eyQ2_pF5

CONFIRMED: Cat de Jong, head of applied AI at Anthropic, is speaking at Thesis, our inaugural conference on work and AI. Cat’s team works with organizations to move AI from pilot to production and adopt it responsibly. A Fortune 500 bank and an AI-native startup may use the same model, but their workflows, risk tolerances, and definitions of success could look entirely different. For knowledge workers, faster output is only the beginning. Where should AI enter the workflow? What still requires human judgment? Who owns the result? Join Cat and speakers from Notion and more on Nov. 5, 2026 in Brooklyn, NYC. Apply to attend: https://lnkd.in/e5YnicRM

CONFIRMED: Andrew Ambrosino, member of technical staff at OpenAI, is speaking at Thesis, our inaugural conference on work and AI. Earlier this year, Andrew joined Dan Shipper on the AI & I podcast to explain how the Codex team works and why speed doesn’t make the work easier, just different. The hard part isn't executing the work anymore—it's having the taste to know what work is worth doing and what form it should take. Thesis continues that conversation: How does knowledge work change when AI can seemingly do everything? Also, will everything be done in Codex now? Join Andrew and speakers from Notion and more on Nov. 5, 2026 in Brooklyn, NYC. Apply to attend: https://lnkd.in/ejcsDvQ5

CONFIRMED: Ivan Zhao, CEO of Notion, is speaking at Thesis, our inaugural conference on work and AI. The job shifts from operating software to directing agents. You set the goal, give them enough context to act, and judge the result. Ivan Zhao describes most AI use today as “single-player”—one person working with a few agents. The harder problem is organizational. How does a whole company coordinate a factory of agents? Notion is already living inside that question. More than 700 AI agents work alongside roughly 1,100 employees there. The org chart is no longer made of people alone. Thesis is about what happens next: how organizations change when every employee can direct a team of agents. After automation, every knowledge worker becomes a manager. Join Ivan and speakers from OpenAI, Anthropic, Runway and more on Nov. 5, 2026 in Brooklyn, NYC. Apply to attend: https://lnkd.in/eu3MFGvY